2025
◼ GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images
A. Frei, J. Garcia-Baroja, T. Rau, C. Neppl, A. Lugli, W. Solass, M. Wartenberg, A. Fischer, I. Zlobec
Pattern Recognition, Volume 171, pp. 112197, 2025
@article{Frei2025,
author = {A.L. Frei, J. Garcia-Baroja, T.T. Rau, C. Neppl, A. Lugli, W. Solass, M. Wartenberg, A. Fischer, and I. Zlobec},
journal = {Pattern Recognition},
pages = {112197},
title = {GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images},
volume = {171},
year = {2025}
}
◼ Hypothesis-Aware Ductus Reconstruction for Greek Papyri: A Data-Driven Approach
D. Dinh, G. D. Gregorio, R. G. Pena, A. Fischer, I. Marthot-Santaniello
Proc. 22nd Conference of the International Graphonomics Society (IGS), pp. 1–4, 2025
Best Student Paper Award
@inproceedings{Dinh2025,
author = {D.V. Dinh, G. De Gregorio, R.C. Gonzalez Pena, A. Fischer, and I. Marthot-Santaniello},
booktitle = {Proc. 22nd Conference of the International Graphonomics Society (IGS)},
note = {{Best Student Paper Award}},
pages = {1–4},
title = {Hypothesis-Aware Ductus Reconstruction for Greek Papyri: A Data-Driven Approach},
year = {2025}
}
◼ Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models
M. Jungo, A. Fischer
Proc. 5th ICDAR Int. Workshop on Machine Learning (WML), pp. 1–16, 2025
@inproceedings{Jungo2025,
author = {M. Jungo and A. Fischer},
booktitle = {Proc. 5th ICDAR Int. Workshop on Machine Learning (WML)},
note = {},
pages = {1–16},
title = {Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models},
year = {2025}
}
◼ CTC Transcription Alignment of the Bullinger Letters: Automatic Improvement of Annotation Quality
M. Peer, A. Scius-Bertrand, A. Fischer
Proc. 2nd Int. Workshop on Computer Vision Systems for Document Analysis and Recognition (VisionDocs), pp. 1–10, 2025
@inproceedings{Peer2025,
author = {M. Peer, A. Scius-Bertrand, and A. Fischer},
booktitle = {Proc. 2nd Int. Workshop on Computer Vision Systems for Document Analysis and Recognition (VisionDocs)},
note = {},
pages = {1–10},
title = {CTC Transcription Alignment of the Bullinger Letters: Automatic Improvement of Annotation Quality},
year = {2025}
}
2024
◼ Post-Correction of Handwriting Recognition Using Large Language Models
J. P. Principe, A. Fischer, A. Scius-Bertrand
Proc. 13th Int. Symposium on Information and Communication Technology (SoICT), pp. 106–118, 2024
@inproceedings{Principe2024,
author = {J.P. Pereyra Principe, A. Fischer, and A. Scius-Bertrand},
booktitle = {Proc. 13th Int. Symposium on Information and Communication Technology (SoICT)},
note = {},
pages = {106–118},
title = {Post-Correction of Handwriting Recognition Using Large Language Models},
year = {2024}
}
◼ Are Layout Analysis and OCR Still Useful for Document Information Extraction Using Foundation Models?
A. Scius-Bertrand, A. Fakhari, L. Vögtlin, D. Cabral, A. Fischer
Proc. 18th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 175–191, 2024
@inproceedings{Scius-bertrand2024,
author = {A. Scius-Bertrand, A. Fakhari, L. Vögtlin, D.R. Cabral, and A. Fischer},
booktitle = {Proc. 18th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {175–191},
title = {Are Layout Analysis and OCR Still Useful for Document Information Extraction Using Foundation Models?},
year = {2024}
}
◼ Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
A. Scius-Bertrand, M. Jungo, L. Vögtlin, J. Spat, A. Fischer
Proc. 27th Int. Conf. on Pattern Recognition (ICPR), pp. 152–166, 2024
@inproceedings{Scius-bertrand2024a,
author = {A. Scius-Bertrand, M. Jungo, L. Vögtlin, J.-M. Spat, and A. Fischer},
booktitle = {Proc. 27th Int. Conf. on Pattern Recognition (ICPR)},
note = {},
pages = {152–166},
title = {Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models},
year = {2024}
}
◼ Deep Neural Network Generation of Domain Names
A. Cholleton, A. Fischer, J. Hennebert, Y. Labrou, V. Raemy, A. West, B. Wicht
Number US12169768, 2024
@misc{Cholleton2024,
author = {A. Cholleton, A. Fischer, J. Hennebert, Y. Labrou, V. Raemy, A. West, and B. Wicht},
number = {US12169768},
organization = {U.S. Patent Office},
title = {Deep Neural Network Generation of Domain Names},
year = {2024}
}
2023
◼ A Hybrid Deep Learning Approach to Keyword Spotting in Vietnamese Stele Images
A. Scius-Bertrand, M. Bui, A. Fischer
Informatica, Volume 47, Number 3, pp. 361–372, 2023
@article{Scius-bertrand2023b,
author = {A. Scius-Bertrand, M. Bui, and A. Fischer},
file = {/research/papers/Scius-bertrand2023.pdf},
journal = {Informatica},
number = {3},
pages = {361–372},
title = {A Hybrid Deep Learning Approach to Keyword Spotting in {Vietnamese} Stele Images},
volume = {47},
year = {2023}
}
◼ Universality of Büchi Automata: Analysis with Graph Neural Networks
C. Stammet, U. Ultes-Nitsche, A. Fischer
IEEE Access, Volume 11, pp. 140993–141007, 2023
@article{Stammet2023,
author = {C. Stammet, U. Ultes-Nitsche, and A. Fischer},
file = {/research/papers/Stammet2023.pdf},
journal = {IEEE Access},
pages = {140993–141007},
title = {Universality of B"{u}chi Automata: Analysis with Graph Neural Networks},
volume = {11},
year = {2023}
}
◼ GammaFocus: An Image Augmentation Method to Focus Model Attention for Classification
A. Frei, A. Khan, P. Zens, A. Lugli, I. Zlobec, A. Fischer
Proc. Medical Imaging with Deep Learning (MIDL), pp. 1–4, 2023
@inproceedings{Frei2023,
author = {A.L. Frei, A. Khan, P. Zens, A. Lugli, I. Zlobec, and A. Fischer},
booktitle = {Proc. Medical Imaging with Deep Learning (MIDL)},
file = {/research/papers/Frei2023.pdf},
note = {},
pages = {1–4},
title = {GammaFocus: {An} Image Augmentation Method to Focus Model Attention for Classification},
year = {2023}
}
◼ Local and Global Features Aggregation for Accurate Epithelial Cell Classification Using Graph Attention Mechanisms in Histopathology Images
A. Frei, A. Khan, L. Studer, P. Zens, A. Lugli, A. Fischer, I. Zlobec
Proc. Medical Imaging with Deep Learning (MIDL), pp. 1–5, 2023
Best Poster Award
@inproceedings{Frei2023a,
author = {A.L. Frei, A. Khan, L. Studer, P. Zens, A. Lugli, A. Fischer, and I. Zlobec},
booktitle = {Proc. Medical Imaging with Deep Learning (MIDL)},
file = {/research/papers/Frei2023.pdf},
note = {{Best Poster Award}},
pages = {1–5},
title = {Local and Global Features Aggregation for Accurate Epithelial Cell Classification Using Graph Attention Mechanisms in Histopathology Images},
year = {2023}
}
◼ Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation
M. Jungo, B. Wolf, A. Maksai, C. Musat, A. Fischer
Proc. 17th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 98–114, 2023
Best Student Paper Award
@inproceedings{Jungo2023,
author = {M. Jungo, B. Wolf, A. Maksai, C. Musat, and A. Fischer},
booktitle = {Proc. 17th Int. Conf. on Document Analysis and Recognition (ICDAR)},
file = {/research/papers/Jungo2023.pdf},
note = {{Best Student Paper Award}},
pages = {98–114},
title = {Character Queries: {A} Transformer-Based Approach to On-line Handwritten Character Segmentation},
year = {2023}
}
◼ Impact of Ground Truth Quality on Handwriting Recognition
M. Jungo, L. Vögtlin, A. Fakhari, N. Wegmann, R. Ingold, A. Fischer, A. Scius-Bertrand
Proc. 12th Int. Symposium on Information and Communication Technology (SoICT), pp. 135–140, 2023
@inproceedings{Jungo2023a,
author = {M. Jungo, L. Vögtlin, A. Fakhari, N. Wegmann, R. Ingold, A. Fischer, and A. Scius-Bertrand},
booktitle = {Proc. 12th Int. Symposium on Information and Communication Technology (SoICT)},
file = {/research/papers/Jungo2023.pdf},
note = {},
pages = {135–140},
title = {Impact of Ground Truth Quality on Handwriting Recognition},
year = {2023}
}
◼ Lognormality: An Open Window on Neuromotor Control
R. Plamondon, A. Bensalah, K. Lebel, R. Salameh, G. S. d. Broin, C. O’Reilly, M. Begon, O. Desbiens, Y. Beloufa, A. Guy, D. Berio, F. Leymarie, S. B. Bidias, A. Fischer, Z. Zhang, M. Morin, D. Alamargot, C. R’emi, N. Faci, R. Fortin, M. Simard, C. Bazinet
Proc. International Graphonomics Conference (IGS), pp. 205–258, 2023
@inproceedings{Plamondon2023,
author = {R. Plamondon, A. Bensalah, K. Lebel, R. Salameh, G. S{’e}guin de Broin, C. O’Reilly, M. Begon, O. Desbiens, Y. Beloufa, A. Guy, D. Berio, F.F. Leymarie, S.P. Boyogueno Bidias, A. Fischer, Z. Zhang, M.-F. Morin, D. Alamargot, C. R{’e}mi, N. Faci, R. Fortin, M.-N. Simard, and C. Bazinet},
booktitle = {Proc. International Graphonomics Conference (IGS)},
note = {},
pages = {205–258},
title = {Lognormality: An Open Window on Neuromotor Control},
year = {2023}
}
◼ The Bullinger Dataset: A Writer Adaptation Challenge
A. Scius-Bertrand, P. Ströbel, M. Volk, T. Hodel, A. Fischer
Proc. 17th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 397–410, 2023
@inproceedings{Scius-bertrand2023,
author = {A. Scius-Bertrand, P. Ströbel, M. Volk, T. Hodel, and A. Fischer},
booktitle = {Proc. 17th Int. Conf. on Document Analysis and Recognition (ICDAR)},
file = {/research/papers/Scius-bertrand2023.pdf},
note = {},
pages = {397–410},
title = {The {Bullinger} Dataset: {A} Writer Adaptation Challenge},
year = {2023}
}
◼ Towards Visuo-Structural Handwriting Evaluation Based on Graph Matching
A. Scius-Bertrand, C. R’emi, E. Biabiany, J. Nagau, A. Fischer
Proc. International Graphonomics Conference (IGS), pp. 75–88, 2023
@inproceedings{Scius-bertrand2023a,
author = {A. Scius-Bertrand, C. R{’e}mi, E. Biabiany, J. Nagau, and A. Fischer},
booktitle = {Proc. International Graphonomics Conference (IGS)},
file = {/research/papers/Scius-bertrand2023.pdf},
note = {},
pages = {75–88},
title = {Towards Visuo-Structural Handwriting Evaluation Based on Graph Matching},
year = {2023}
}
◼ Bullingers Briefwechsel zugänglich machen: Stand der Handschriftenerkennung
P. Ströbel, T. Hodel, A. Fischer, A. Scius-Bertrand, B. Wolf, A. Janka, J. Widmer, P. Scheurer, M. Volk
Proc. Digital Humanities im deutschsprachigen Raum (DHd), pp. 98–102, 2023
@inproceedings{Ströbel2023,
author = {P. Ströbel, T. Hodel, A. Fischer, A. Scius-Bertrand, B. Wolf, A. Janka, J. Widmer, P. Scheurer, and M. Volk},
booktitle = {Proc. Digital Humanities im deutschsprachigen Raum (DHd)},
file = {/research/papers/Ströbel2023.pdf},
note = {},
pages = {98–102},
title = {{Bullingers Briefwechsel zugänglich machen: Stand der Handschriftenerkennung}},
year = {2023}
}
◼ Tumor Budding T-Cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients
L. Studer, J. Bokhorst, I. Nagtegaal, I. Zlobec, H. Dawson, A. Fischer
Proc. Int. Conf. on Medical Imaging with Deep Learning (MIDL), pp. 1–25, 2023
@inproceedings{Studer2023,
author = {L. Studer, J.-M. Bokhorst, I. Nagtegaal, I. Zlobec, H. Dawson, and A. Fischer},
booktitle = {Proc. Int. Conf. on Medical Imaging with Deep Learning (MIDL)},
file = {/research/papers/Studer2023.pdf},
note = {},
pages = {1–25},
title = {Tumor Budding T-Cell Graphs: {Assessing} the Need for Resection in {pT1} Colorectal Cancer Patients},
year = {2023}
}
◼ DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
L. Vögtlin, A. Scius-Bertrand, P. Maergner, A. Fischer, R. Ingold
Proc. 7th Int. Workshop on Historical Document Imaging and Processing (HIP), pp. 61–66, 2023
@inproceedings{Vögtlin2023,
author = {L. Vögtlin, A. Scius-Bertrand, P. Maergner, A. Fischer, and R. Ingold},
booktitle = {Proc. 7th Int. Workshop on Historical Document Imaging and Processing (HIP)},
note = {},
pages = {61–66},
title = {{DIVA-DAF: A }Deep Learning Framework for Historical Document Image Analysis},
year = {2023}
}
2022
◼ Self-Rule to Multi-Adapt: Generalized Multi-Source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
C. Abbet, L. Studer, A. Fischer, H. Dawson, I. Zlobec, B. Bozorgtabar, J. Thiran
Medical Image Analysis, Volume 79, pp. 1–20, 2022
@article{Abbet2022,
author = {C. Abbet, L. Studer, A. Fischer, H. Dawson, I. Zlobec, B. Bozorgtabar, and J.-P. Thiran},
file = {/research/papers/Abbet2022.pdf},
journal = {Medical Image Analysis},
pages = {1–20},
title = {Self-Rule to Multi-Adapt: Generalized Multi-Source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection},
volume = {79},
year = {2022}
}
◼ Generating Synthetic Styled Chu Nom Characters
J. Diesbach, A. Fischer, M. Bui, A. Scius-Bertrand
Proc. 18th Int. Conf on Frontiers in Handwriting Recognition (ICFHR), pp. 484–497, 2022
@inproceedings{Diesbach2022,
author = {J. Diesbach, A. Fischer, M. Bui, and A. Scius-Bertrand},
booktitle = {Proc. 18th Int. Conf on Frontiers in Handwriting Recognition (ICFHR)},
note = {},
pages = {484–497},
title = {Generating Synthetic Styled {Chu Nom} Characters},
year = {2022}
}
◼ The RPM3D Project: 3D Kinematics for Remote Patient Monitoring
A. Fornes, A. Bensalah, C. Carmona-Duarte, J. Chen, M. Ferrer, A. Fischer, J. Llad’os, C. Martin, E. Opisso, R. Plamondon, A. Scius-Bertrand, J. Tormos
Proc. International Graphonomics Conference (IGS), pp. 217–226, 2022
@inproceedings{Fornes2022,
author = {A. Fornes, A. Bensalah, C. Carmona-Duarte, J. Chen, M.A. Ferrer, A. Fischer, J. Llad{‘o}s, C. Martin, E. Opisso, R. Plamondon, A. Scius-Bertrand, J.M. Tormos},
booktitle = {Proc. International Graphonomics Conference (IGS)},
note = {},
pages = {217–226},
title = {The RPM3D Project: 3D Kinematics for Remote Patient Monitoring},
year = {2022}
}
◼ Annotation-Free Keyword Spotting in Historical Vietnamese Manuscripts Using Graph Matching
A. Scius-Bertrand, L. Studer, A. Fischer, M. Bui
Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR), pp. 22–32, 2022
@inproceedings{Scius-bertrand2022,
author = {A. Scius-Bertrand, L. Studer, A. Fischer, and M. Bui},
booktitle = {Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR)},
file = {/research/papers/Scius-bertrand2022.pdf},
note = {},
pages = {22–32},
title = {Annotation-Free Keyword Spotting in Historical {Vietnamese} Manuscripts Using Graph Matching},
year = {2022}
}
◼ Retrieving Keywords in Historical Vietnamese Stele Images Without Human Annotations
A. Scius-Bertrand, A. Fischer, M. Bui
Proc. 11th Int. Symposium on Information and Communication Technology (SoICT), pp. 295–301, 2022
@inproceedings{Scius-bertrand2022a,
author = {A. Scius-Bertrand, A. Fischer, and M. Bui},
booktitle = {Proc. 11th Int. Symposium on Information and Communication Technology (SoICT)},
file = {/research/papers/Scius-bertrand2022.pdf},
note = {},
pages = {295–301},
title = {Retrieving Keywords in Historical {Vietnamese} Stele Images Without Human Annotations},
year = {2022}
}
◼ Improving Handwriting Recognition for Historical Documents Using Synthetic Text Lines
M. Spoto, B. Wolf, A. Fischer, A. Scius-Bertrand
Proc. International Graphonomics Conference (IGS), pp. 61–75, 2022
@inproceedings{Spoto2022,
author = {M. Spoto, B. Wolf, A. Fischer, and A. Scius-Bertrand},
booktitle = {Proc. International Graphonomics Conference (IGS)},
note = {},
pages = {61–75},
title = {Improving Handwriting Recognition for Historical Documents Using Synthetic Text Lines},
year = {2022}
}
◼ Analyzing Büchi Automata with Graph Neural Networks
C. Stammet, P. Dotti, U. Ultes-Nitsche, A. Fischer
Proc. 4th Int. Workshop on Learning and Automata (LearnAut), pp. 1–10, 2022
@inproceedings{Stammet2022,
author = {C. Stammet, P. Dotti, U. Ultes-Nitsche, and A. Fischer},
booktitle = {Proc. 4th Int. Workshop on Learning and Automata (LearnAut)},
file = {/research/papers/Stammet2022.pdf},
note = {},
pages = {1–10},
title = {Analyzing {B}üchi Automata with Graph Neural Networks},
year = {2022}
}
◼ Deep Neural Network Generation of Domain Names
A. Cholleton, A. Fischer, J. Hennebert, V. Raemy, B. Wicht
Number US11431672, 2022
@misc{Cholleton2022,
author = {A. Cholleton, A. Fischer, J. Hennebert, V. Raemy, and B. Wicht},
number = {US11431672},
organization = {U.S. Patent Office},
title = {Deep Neural Network Generation of Domain Names},
year = {2022}
}
2021
◼ Learning Graph Edit Distance by Graph Neural Networks
P. Riba, A. Fischer, J. Lladós, A. Fornés
Pattern Recognition, Volume 120, pp. 1–11, 2021
@article{Riba2021,
author = {P. Riba, A. Fischer, J. Llad{'o}s, and A. Forn{'e}s},
journal = {Pattern Recognition},
pages = {1–11},
title = {Learning Graph Edit Distance by Graph Neural Networks},
volume = {120},
year = {2021}
}
◼ Transcription Alignment of Historical Vietnamese Manuscripts without Human-Annotated Learning Samples
A. Scius-Bertrand, M. Jungo, B. Wolf, A. Fischer, M. Bui
Applied Sciences, Volume 11, pp. 1–18, 2021
@article{Scius-bertrand2021a,
author = {A. Scius-Bertrand, M. Jungo, B. Wolf, A. Fischer, and M. Bui},
file = {/research/papers/Scius-bertrand2021.pdf},
journal = {Applied Sciences},
pages = {1–18},
title = {Transcription Alignment of Historical Vietnamese Manuscripts without Human-Annotated Learning Samples},
volume = {11},
year = {2021}
}
◼ Taking tumour budding to the next frontier—a post International Tumour Budding Consensus Conference (ITBCC) 2016 Review
L. Studer, A. Blank, J. Bokhorst, I. Nagtegaal, I. Zlobec, A. Lugli, A. Fischer, H. Dawson
Histopathology, Volume 78, Number 4, pp. 476–484, 2021
@article{Studer2021a,
author = {L. Studer, A. Blank, J.-M. Bokhorst, I. Nagtegaal, I. Zlobec, A. Lugli, A. Fischer, and H. Dawson},
journal = {Histopathology},
number = {4},
pages = {476–484},
title = {Taking tumour budding to the next frontier—a post International Tumour Budding Consensus Conference (ITBCC) 2016 Review},
volume = {78},
year = {2021}
}
◼ Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
C. Abbet, L. Studer, A. Fischer, H. Dawson, I. Zlobec, B. Bozorgtabar, J. Thiran
Proc. 4th Int. Conf. on Medical Imaging with Deep Learning (MIDL), pp. 1–16, 2021
@inproceedings{Abbet2021,
author = {C. Abbet, L. Studer, A. Fischer, H. Dawson, I. Zlobec, B. Bozorgtabar, and J.-P. Thiran},
booktitle = {Proc. 4th Int. Conf. on Medical Imaging with Deep Learning (MIDL)},
file = {/research/papers/Abbet2021.pdf},
note = {},
pages = {1–16},
title = {Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping},
year = {2021}
}
◼ Annotation-Free Character Detection in Historical Vietnamese Stele Images
A. Scius-Bertrand, M. Jungo, B. Wolf, A. Fischer, M. Bui
Proc. 16th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 432–447, 2021
@inproceedings{Scius-bertrand2021,
author = {A. Scius-Bertrand, M. Jungo, B. Wolf, A. Fischer, and M. Bui},
booktitle = {Proc. 16th Int. Conf. on Document Analysis and Recognition (ICDAR)},
file = {/research/papers/Scius-bertrand2021.pdf},
note = {},
pages = {432–447},
title = {Annotation-Free Character Detection in Historical Vietnamese Stele Images},
year = {2021}
}
◼ Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks
L. Studer, J. Wallau, H. Dawson, I. Zlobec, A. Fischer
Proc. 25th Int. Conf. on Pattern Recognition (ICPR), pp. 3636–3643, 2021
@inproceedings{Studer2021,
author = {L. Studer, J. Wallau, H. Dawson, I. Zlobec, and A. Fischer},
booktitle = {Proc. 25th Int. Conf. on Pattern Recognition (ICPR)},
note = {},
pages = {3636–3643},
title = {Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks},
year = {2021}
}
◼ Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting
F. Wolf, A. Fischer, G. Fink
Proc. 16th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 50–64, 2021
@inproceedings{Wolf2021,
author = {F. Wolf, A. Fischer, and G.A. Fink},
booktitle = {Proc. 16th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {50–64},
title = {Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting},
year = {2021}
}
2020
◼ Modeling 3D Movements with the Kinematic Theory of Rapid Human Movements
A. Fischer, R. Schindler, M. Bouillon, R. Plamondon
The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health, Volume 88, pp. 327–342, 2020
@incollection{Fischer2020,
author = {A. Fischer, R. Schindler, M. Bouillon, R. Plamondon},
booktitle = {The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health},
editor = {R. Plamondon and A. Marcelli and M.A. Ferrer},
file = {/research/papers/Fischer2020.pdf},
pages = {327–342},
series = {Series in Machine Perception and Artificial Intelligence},
title = {Modeling 3D Movements with the Kinematic Theory of Rapid Human Movements},
volume = {88},
year = {2020}
}
◼ Filters for Graph-Based Keyword Spotting in Historical Handwritten Documents
M. Stauffer, A. Fischer, K. Riesen
Pattern Recognition Letters, Volume 134, pp. 125–134, 2020
@article{Stauffer2020,
author = {M. Stauffer, A. Fischer, and K. Riesen},
journal = {Pattern Recognition Letters},
pages = {125–134},
title = {Filters for Graph-Based Keyword Spotting in Historical Handwritten Documents},
volume = {134},
year = {2020}
}
◼ Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
L. Linder, M. Jungo, J. Hennebert, C. Musat, A. Fischer
Proc. 12th Language Resources and Evaluation Conference (LREC), pp. , 2020
@inproceedings{Linder2020,
author = {L. Linder, M. Jungo, J. Hennebert, C.C. Musat, and A. Fischer},
booktitle = {Proc. 12th Language Resources and Evaluation Conference (LREC)},
file = {/research/papers/Linder2020.pdf},
note = {},
pages = {},
title = {Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German},
year = {2020}
}
◼ Effects of Graph Pooling Layers on Classification with Graph Neural Networks
L. Studer, J. Wallau, R. Ingold, A. Fischer
Proc. 7th Swiss Conference on Data Science (SDS), pp. 57–58, 2020
@inproceedings{Studer2020,
author = {L. Studer, J. Wallau, R. Ingold, and A. Fischer},
booktitle = {Proc. 7th Swiss Conference on Data Science (SDS)},
note = {},
pages = {57–58},
title = {Effects of Graph Pooling Layers on Classification with Graph Neural Networks},
year = {2020}
}
2019
◼ Graph-Based Keyword Spotting in Historical Manuscripts Using Hausdorff Edit Distance
M. Ameri, M. Stauffer, K. Riesen, T. Bui, A. Fischer
Pattern Recognition Letters, Volume 121, pp. 61–67, 2019
@article{Ameri2019,
author = {M.R. Ameri, M. Stauffer, K. Riesen, T.D. Bui, and A. Fischer},
journal = {Pattern Recognition Letters},
pages = {61–67},
title = {Graph-Based Keyword Spotting in Historical Manuscripts Using Hausdorff Edit Distance},
volume = {121},
year = {2019}
}
◼ Combining Graph Edit Distance and Triplet Networks for Offline Signature Verification
P. Maergner, V. Pondenkandath, M. Alberti, M. Liwicki, K. Riesen, R. Ingold, A. Fischer
Pattern Recognition Letters, Volume 125, pp. 527–533, 2019
@article{Maergner2019a,
author = {P. Maergner, V. Pondenkandath, M. Alberti, M. Liwicki, K. Riesen, R. Ingold, and A. Fischer},
file = {/research/papers/Maergner2019.pdf},
journal = {Pattern Recognition Letters},
pages = {527–533},
title = {Combining Graph Edit Distance and Triplet Networks for Offline Signature Verification},
volume = {125},
year = {2019}
}
◼ Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes
N. Kocher, C. Scuito, L. Tarantino, A. Lazaridis, A. Fischer, C. Musat
Proc. SIGNLL Conf. on Computational Natural Language Learning (CoNLL), pp. 890–899, 2019
@inproceedings{Kocher2019,
author = {N. Kocher, C. Scuito, L. Tarantino, A. Lazaridis, A. Fischer, and C. Musat},
booktitle = {Proc. SIGNLL Conf. on Computational Natural Language Learning (CoNLL)},
file = {/research/papers/Kocher2019.pdf},
note = {},
pages = {890–899},
title = {Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes},
year = {2019}
}
◼ Synthetic Generation of Online Signatures using a Deep Generative Model
P. Maergner, T. Karabacakoglu, K. Riesen, R. Ingold, A. Fischer
Proc. 19th International Graphonomics Conference (IGS), pp. , 2019
@inproceedings{Maergner2019,
author = {P. Maergner, T.S. Karabacakoglu, K. Riesen, R. Ingold, and A. Fischer},
booktitle = {Proc. 19th International Graphonomics Conference (IGS)},
file = {/research/papers/Maergner2019.pdf},
note = {},
pages = {},
title = {Synthetic Generation of Online Signatures using a Deep Generative Model},
year = {2019}
}
◼ Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles
A. Scius-Bertrand, L. Voegtlin, M. Alberti, A. Fischer, M. Bui
Proc. 5th Int. Workshop on Historical Document Imaging and Processing (HIP), pp. 84–89, 2019
@inproceedings{Scius-bertrand2019,
author = {A. Scius-Bertrand, L. Voegtlin, M. Alberti, A. Fischer, and M. Bui},
booktitle = {Proc. 5th Int. Workshop on Historical Document Imaging and Processing (HIP)},
file = {/research/papers/Scius-bertrand2019.pdf},
note = {},
pages = {84–89},
title = {Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles},
year = {2019}
}
◼ Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents
M. Stauffer, P. Maergner, A. Fischer, K. Riesen
Proc. 12th Int. Workshop on Graph-Based Representation in Pattern Recognition (GbR), pp. 45–55, 2019
@inproceedings{Stauffer2019,
author = {M. Stauffer, P. Maergner, A. Fischer, and K. Riesen},
booktitle = {Proc. 12th Int. Workshop on Graph-Based Representation in Pattern Recognition (GbR)},
file = {/research/papers/Stauffer2019.pdf},
note = {},
pages = {45–55},
title = {Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents},
year = {2019}
}
◼ Graph Embedding for Offline Handwritten Signature Verification
M. Stauffer, P. Maergner, A. Fischer, K. Riesen
Proc. 3rd Int. Conf. on Biometric Engineering and Applications (ICBEA), pp. 69–76, 2019
@inproceedings{Stauffer2019a,
author = {M. Stauffer, P. Maergner, A. Fischer, and K. Riesen},
booktitle = {Proc. 3rd Int. Conf. on Biometric Engineering and Applications (ICBEA)},
file = {/research/papers/Stauffer2019.pdf},
note = {},
pages = {69–76},
title = {Graph Embedding for Offline Handwritten Signature Verification},
year = {2019}
}
◼ Offline Signature Verification using Structural Dynamic Time Warping
M. Stauffer, P. Maergner, A. Fischer, R. Ingold, K. Riesen
Proc. 15th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 1117–1124, 2019
@inproceedings{Stauffer2019b,
author = {M. Stauffer, P. Maergner, A. Fischer, R. Ingold, and K. Riesen},
booktitle = {Proc. 15th Int. Conf. on Document Analysis and Recognition (ICDAR)},
file = {/research/papers/Stauffer2019.pdf},
note = {},
pages = {1117–1124},
title = {Offline Signature Verification using Structural Dynamic Time Warping},
year = {2019}
}
◼ A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
L. Studer, M. Alberti, V. Pondenkandath, P. Goktepe, T. Kolonko, A. Fischer, M. Liwicki, R. Ingold
Proc. 15th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 720–725, 2019
@inproceedings{Studer2019,
author = {L. Studer, M. Alberti, V. Pondenkandath, P. Goktepe, T. Kolonko, A. Fischer, M. Liwicki, and R. Ingold},
booktitle = {Proc. 15th Int. Conf. on Document Analysis and Recognition (ICDAR)},
file = {/research/papers/Studer2019.pdf},
note = {},
pages = {720–725},
title = {A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis},
year = {2019}
}
◼ Graph-based Classification of Intestinal Glands in Colorectal Cancer Tissue Images
L. Studer, S. Toneyan, I. Zlobec, H. Dawson, A. Fischer
Proc. 2nd MICCAI Workshop on Computational Pathology (COMPAY), pp. 1–8, 2019
@inproceedings{Studer2019a,
author = {L. Studer, S. Toneyan, I. Zlobec, H. Dawson, and A. Fischer},
booktitle = {Proc. 2nd MICCAI Workshop on Computational Pathology (COMPAY)},
file = {/research/papers/Studer2019.pdf},
note = {},
pages = {1–8},
title = {Graph-based Classification of Intestinal Glands in Colorectal Cancer Tissue Images},
year = {2019}
}
2018
◼ Searching and Browsing in Historical Documents – State of the Art and Novel Approaches for Template-Based Keyword Spotting
M. Stauffer, A. Fischer, K. Riesen
Business Information Systems and Technology 4.0, Volume 141, pp. 197–211, 2018
@incollection{Stauffer2018b,
author = {M. Stauffer, A. Fischer, K. Riesen},
booktitle = {Business Information Systems and Technology 4.0},
editor = {R. Dornberger},
file = {/research/papers/Stauffer2018.pdf},
pages = {197–211},
series = {Studies in Systems, Decision, and Control},
title = {Searching and Browsing in Historical Documents – State of the Art and Novel Approaches for Template-Based Keyword Spotting},
volume = {141},
year = {2018}
}
◼ Dynamic Signature Verification System Based on One Real Signature
M. Diaz, A. Fischer, M. Ferrer, R. Plamondon
IEEE Trans. on Cybernetics, Volume 48, Number 1, pp. 228–239, 2018
@article{Diaz2018,
author = {M. Diaz, A. Fischer, M.A. Ferrer, and R. Plamondon},
journal = {IEEE Trans. on Cybernetics},
number = {1},
pages = {228–239},
title = {Dynamic Signature Verification System Based on One Real Signature},
volume = {48},
year = {2018}
}
◼ On the Impact of Using Utilities Rather than Costs for Graph Matching
K. Riesen, A. Fischer, H. Bunke
Neural Processing Letters, Volume 48, Number 2, pp. 691–707, 2018
@article{Riesen2018,
author = {K. Riesen, A. Fischer, and H. Bunke},
file = {/research/papers/Riesen2018.pdf},
journal = {Neural Processing Letters},
number = {2},
pages = {691–707},
title = {On the Impact of Using Utilities Rather than Costs for Graph Matching},
volume = {48},
year = {2018}
}
◼ Keyword Spotting in Historical Handwritten Documents based on Graph Matching
M. Stauffer, A. Fischer, K. Riesen
Pattern Recognition, Volume 81, pp. 240–253, 2018
@article{Stauffer2018a,
author = {M. Stauffer, A. Fischer, and K. Riesen},
file = {/research/papers/Stauffer2018.pdf},
journal = {Pattern Recognition},
pages = {240–253},
title = {Keyword Spotting in Historical Handwritten Documents based on Graph Matching},
volume = {81},
year = {2018}
}
◼ Offline Signature Verification via Structural Methods: Graph Edit Distance and Inkball Models
P. Maergner, N. Howe, K. Riesen, R. Ingold, A. Fischer
Proc. 16th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 163–168, 2018
@inproceedings{Maergner2018,
author = {P. Maergner, N.R. Howe, K. Riesen, R. Ingold, and A. Fischer},
booktitle = {Proc. 16th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR)},
note = {},
pages = {163–168},
title = {Offline Signature Verification via Structural Methods: Graph Edit Distance and Inkball Models},
year = {2018}
}
◼ Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
P. Maergner, V. Pondenkandath, M. Alberti, M. Liwicki, K. Riesen, R. Ingold, A. Fischer
Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), pp. 470–480, 2018
@inproceedings{Maergner2018a,
author = {P. Maergner, V. Pondenkandath, M. Alberti, M. Liwicki, K. Riesen, R. Ingold, and A. Fischer},
booktitle = {Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR)},
note = {},
pages = {470–480},
title = {Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks},
year = {2018}
}
◼ Learning Graph Distances with Message Passing Neural Networks
P. Riba, A. Fischer, J. Llados, A. Fornes
Proc. 24th Int. Conf. on Pattern Recognition (ICPR), pp. 2239–2244, 2018
Best Scientific Paper Award
@inproceedings{Riba2018,
author = {P. Riba, A. Fischer, J. Llados, and A. Fornes},
booktitle = {Proc. 24th Int. Conf. on Pattern Recognition (ICPR)},
note = {{Best Scientific Paper Award}},
pages = {2239–2244},
title = {Learning Graph Distances with Message Passing Neural Networks},
year = {2018}
}
◼ Extending the Sigma-Lognormal Model of the Kinematic Theory to Three Dimensions
R. Schindler, M. Bouillon, R. Plamondon, A. Fischer
Proc. 1st Int. Conf. on Pattern Recognition and Artificial Intelligence (ICPRAI), pp. 748–752, 2018
@inproceedings{Schindler2018,
author = {R. Schindler, M. Bouillon, R. Plamondon, and A. Fischer},
booktitle = {Proc. 1st Int. Conf. on Pattern Recognition and Artificial Intelligence (ICPRAI)},
file = {/research/papers/Schindler2018.pdf},
note = {},
pages = {748–752},
title = {Extending the Sigma-Lognormal Model of the Kinematic Theory to Three Dimensions},
year = {2018}
}
◼ Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance
M. Stauffer, A. Fischer, K. Riesen
Proc. 13th Int. Workshop on Document Analysis Systems (DAS), pp. 49–54, 2018
@inproceedings{Stauffer2018,
author = {M. Stauffer, A. Fischer, and K. Riesen},
booktitle = {Proc. 13th Int. Workshop on Document Analysis Systems (DAS)},
file = {/research/papers/Stauffer2018.pdf},
note = {},
pages = {49–54},
title = {Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance},
year = {2018}
}
◼ DLL: A Fast Deep Neural Network Library
B. Wicht, A. Fischer, J. Hennebert
Proc. 8th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), pp. 54–65, 2018
@inproceedings{Wicht2018,
author = {B. Wicht, A. Fischer, and J. Hennebert},
booktitle = {Proc. 8th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR)},
note = {},
pages = {54–65},
title = {DLL: A Fast Deep Neural Network Library},
year = {2018}
}
2017
◼ Improved Quadratic Time Approximation of Graph Edit Distance by Combining Hausdorff Matching and Greedy Assignment
A. Fischer, K. Riesen, H. Bunke
Pattern Recognition Letters, Volume 87, pp. 55–62, 2017
@article{Fischer2017,
author = {A. Fischer, K. Riesen, and H. Bunke},
journal = {Pattern Recognition Letters},
pages = {55–62},
title = {Improved Quadratic Time Approximation of Graph Edit Distance by Combining Hausdorff Matching and Greedy Assignment},
volume = {87},
year = {2017}
}
◼ Signature Verification Based on the Kinematic Theory of Rapid Human Movements
A. Fischer, R. Plamondon
IEEE Trans. on Human-Machine Systems, Volume 47, Number 2, pp. 169–180, 2017
@article{Fischer2017a,
author = {A. Fischer and R. Plamondon},
journal = {IEEE Trans. on Human-Machine Systems},
number = {2},
pages = {169–180},
title = {Signature Verification Based on the Kinematic Theory of Rapid Human Movements},
volume = {47},
year = {2017}
}
◼ A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs
A. Garz, M. Seuret, A. Fischer, R. Ingold
IEEE Trans. on Human-Machine Systems, Volume 47, Number 2, pp. 181–193, 2017
@article{Garz2017a,
author = {A. Garz, M. Seuret, A. Fischer, and R. Ingold},
journal = {IEEE Trans. on Human-Machine Systems},
number = {2},
pages = {181–193},
title = {A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs},
volume = {47},
year = {2017}
}
◼ Keyword Spotting in Historical Documents Based on Handwriting Graphs and Hausdorff Edit Distance
M. Ameri, M. Stauffer, K. Riesen, T. Bui, A. Fischer
Proc. 18th Conf. of the International Graphonomics Society (IGS), pp. , 2017
@inproceedings{Ameri2017,
author = {M. Ameri, M. Stauffer, K. Riesen, T. Bui, and A. Fischer},
booktitle = {Proc. 18th Conf. of the International Graphonomics Society (IGS)},
note = {},
pages = {},
title = {Keyword Spotting in Historical Documents Based on Handwriting Graphs and Hausdorff Edit Distance},
year = {2017}
}
◼ User Adaptation for Multi-Classifier Signature Verification Based on the Kinematic Theory
A. Garz, F. Schuetz, A. Villa, R. Plamondon, A. Fischer
Proc. 18th Conf. of the International Graphonomics Society (IGS), pp. , 2017
@inproceedings{Garz2017,
author = {A. Garz, F. Schuetz, A. Villa, R. Plamondon, and A. Fischer},
booktitle = {Proc. 18th Conf. of the International Graphonomics Society (IGS)},
note = {},
pages = {},
title = {User Adaptation for Multi-Classifier Signature Verification Based on the Kinematic Theory},
year = {2017}
}
◼ A Structural Approach to Offline Signature Verification Using Graph Edit Distance
P. Maergner, K. Riesen, R. Ingold, A. Fischer
Proc. 14th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 1216–1222, 2017
@inproceedings{Maergner2017,
author = {P. Maergner, K. Riesen, R. Ingold, and A. Fischer},
booktitle = {Proc. 14th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {1216–1222},
title = {A Structural Approach to Offline Signature Verification Using Graph Edit Distance},
year = {2017}
}
◼ Offline Signature Verification Based on Bipartite Approximation of Graph Edit Distance
P. Maergner, K. Riesen, R. Ingold, A. Fischer
Proc. 18th Conf. of the International Graphonomics Society (IGS), pp. , 2017
@inproceedings{Maergner2017a,
author = {P. Maergner, K. Riesen, R. Ingold, and A. Fischer},
booktitle = {Proc. 18th Conf. of the International Graphonomics Society (IGS)},
note = {},
pages = {},
title = {Offline Signature Verification Based on Bipartite Approximation of Graph Edit Distance},
year = {2017}
}
◼ Model-based Delineation of Non-Uniformly Sampled ECG Signals
T. Niederhauser, A. Haeberlin, B. Jesacher, A. Fischer, H. Tanner
Proc. Computing in Cardiology (CinC), pp. , 2017
@inproceedings{Niederhauser2017,
author = {T. Niederhauser, A. Haeberlin, B. Jesacher, A. Fischer, H. Tanner},
booktitle = {Proc. Computing in Cardiology (CinC)},
note = {},
pages = {},
title = {Model-based Delineation of Non-Uniformly Sampled ECG Signals},
year = {2017}
}
◼ Improved Graph Edit Distance Approximation with Simulated Annealing
K. Riesen, A. Fischer, H. Bunke
Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR), pp. 222–231, 2017
@inproceedings{Riesen2017,
author = {K. Riesen, A. Fischer, and H. Bunke},
booktitle = {Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR)},
note = {},
pages = {222–231},
title = {Improved Graph Edit Distance Approximation with Simulated Annealing},
year = {2017}
}
◼ A Survey on Applications of Bipartite Graph Edit Distance
M. Stauffer, T. Tschachtli, A. Fischer, K. Riesen
Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR), pp. 242–252, 2017
@inproceedings{Stauffer2017,
author = {M. Stauffer, T. Tschachtli, A. Fischer, and K. Riesen},
booktitle = {Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR)},
note = {},
pages = {242–252},
title = {A Survey on Applications of Bipartite Graph Edit Distance},
year = {2017}
}
◼ Ensembles for Graph-based Keyword Spotting in Historical Handwritten Documents
M. Stauffer, A. Fischer, K. Riesen
Proc. 14th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 714–720, 2017
@inproceedings{Stauffer2017a,
author = {M. Stauffer, A. Fischer, and K. Riesen},
booktitle = {Proc. 14th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {714–720},
title = {Ensembles for Graph-based Keyword Spotting in Historical Handwritten Documents},
year = {2017}
}
◼ Speeding-Up Graph-based Keyword Spotting in Historical Handwritten Documents
M. Stauffer, A. Fischer, K. Riesen
Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR), pp. 83–93, 2017
@inproceedings{Stauffer2017b,
author = {M. Stauffer, A. Fischer, and K. Riesen},
booktitle = {Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR)},
note = {},
pages = {83–93},
title = {Speeding-Up Graph-based Keyword Spotting in Historical Handwritten Documents},
year = {2017}
}
2016
◼ Creating ground truth for historical manuscripts with document graphs and scribbling interaction
A. Garz, M. Seuret, F. Simistira, A. Fischer, R. Ingold
Proc. 12th Int. Workshop on Document Analysis Systems (DAS), pp. 126–131, 2016
@inproceedings{Garz2016,
author = {A. Garz, M. Seuret, F. Simistira, A. Fischer, and R. Ingold},
booktitle = {Proc. 12th Int. Workshop on Document Analysis Systems (DAS)},
file = {/research/papers/Garz2016.pdf},
note = {},
pages = {126–131},
title = {Creating ground truth for historical manuscripts with document graphs and scribbling interaction},
year = {2016}
}
◼ GraphManuscribble: Interact intuitively with digital facsimiles
A. Garz, M. Seuret, A. Fischer, R. Ingold
Proc. 2nd Int. Conf. on Natural Sciences and Technology in Manuscript Analysis, pp. 61–63, 2016
@inproceedings{Garz2016a,
author = {A. Garz, M. Seuret, A. Fischer, and R. Ingold},
booktitle = {Proc. 2nd Int. Conf. on Natural Sciences and Technology in Manuscript Analysis},
file = {/research/papers/Garz2016.pdf},
note = {},
pages = {61–63},
title = {GraphManuscribble: Interact intuitively with digital facsimiles},
year = {2016}
}
◼ Simple and fast geometrical descriptors for writer identification
A. Garz, M. Würsch, A. Fischer, R. Ingold
Proc. 23rd Int. Conf. on Document Recognition and Retrieval (DRR), pp. 1–12, 2016
@inproceedings{Garz2016b,
author = {A. Garz, M. Würsch, A. Fischer, and R. Ingold},
booktitle = {Proc. 23rd Int. Conf. on Document Recognition and Retrieval (DRR)},
file = {/research/papers/Garz2016.pdf},
note = {},
pages = {1–12},
title = {Simple and fast geometrical descriptors for writer identification},
year = {2016}
}
◼ Inkball Models as Features for Handwriting Recognition
N. Howe, A. Fischer, B. Wicht
Proc. 15th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 96–101, 2016
@inproceedings{Howe2016,
author = {N. Howe, A. Fischer, and B. Wicht},
booktitle = {Proc. 15th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR)},
note = {},
pages = {96–101},
title = {Inkball Models as Features for Handwriting Recognition},
year = {2016}
}
◼ Approximation of Graph Edit Distance by Means of a Utility Matrix
K. Riesen, A. Fischer, H. Bunke
Proc. 7th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), pp. 185–194, 2016
@inproceedings{Riesen2016,
author = {K. Riesen, A. Fischer, and H. Bunke},
booktitle = {Proc. 7th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR)},
file = {/research/papers/Riesen2016.pdf},
note = {},
pages = {185–194},
title = {Approximation of Graph Edit Distance by Means of a Utility Matrix},
year = {2016}
}
◼ A Novel Graph Database for Handwritten Word Images
M. Stauffer, A. Fischer, K. Riesen
Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), pp. 553–563, 2016
@inproceedings{Stauffer2016,
author = {M. Stauffer, A. Fischer, and K. Riesen},
booktitle = {Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR)},
file = {/research/papers/Stauffer2016.pdf},
note = {},
pages = {553–563},
title = {A Novel Graph Database for Handwritten Word Images},
year = {2016}
}
◼ Graph-Based Keyword Spotting in Historical Handwritten Documents
M. Stauffer, A. Fischer, K. Riesen
Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), pp. 564–573, 2016
@inproceedings{Stauffer2016a,
author = {M. Stauffer, A. Fischer, and K. Riesen},
booktitle = {Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR)},
file = {/research/papers/Stauffer2016.pdf},
note = {},
pages = {564–573},
title = {Graph-Based Keyword Spotting in Historical Handwritten Documents},
year = {2016}
}
◼ Deep Learning Features for Handwritten Keyword Spotting
B. Wicht, A. Fischer, J. Hennebert
Proc. 23rd Int. Conf. on Pattern Recognition (ICPR), pp. 3434–3439, 2016
@inproceedings{Wicht2016,
author = {B. Wicht, A. Fischer, and J. Hennebert},
booktitle = {Proc. 23rd Int. Conf. on Pattern Recognition (ICPR)},
file = {/research/papers/Wicht2016.pdf},
note = {},
pages = {3434–3439},
title = {Deep Learning Features for Handwritten Keyword Spotting},
year = {2016}
}
◼ Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping
B. Wicht, A. Fischer, J. Hennebert
Proc. 25th Int. Conf. on Artificial Neural Networks (ICANN), pp. 113–120, 2016
@inproceedings{Wicht2016a,
author = {B. Wicht, A. Fischer, and J. Hennebert},
booktitle = {Proc. 25th Int. Conf. on Artificial Neural Networks (ICANN)},
file = {/research/papers/Wicht2016.pdf},
note = {},
pages = {113–120},
title = {Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping},
year = {2016}
}
◼ On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM
B. Wicht, A. Fischer, J. Hennebert
Proc. 7th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), pp. 163–174, 2016
@inproceedings{Wicht2016b,
author = {B. Wicht, A. Fischer, and J. Hennebert},
booktitle = {Proc. 7th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR)},
file = {/research/papers/Wicht2016.pdf},
note = {},
pages = {163–174},
title = {On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM},
year = {2016}
}
2015
◼ Approximation of Graph Edit Distance Based on Hausdorff Matching
A. Fischer, C. Y. Suen, V. Frinken, K. Riesen, H. Bunke
Pattern Recognition, Volume 48, Number 2, pp. 331–343, 2015
@article{Fischer2015c,
author = {A. Fischer, C. Y. Suen, V. Frinken, K. Riesen, and H. Bunke},
file = {/research/papers/Fischer2015.pdf},
journal = {Pattern Recognition},
number = {2},
pages = {331–343},
title = {Approximation of Graph Edit Distance Based on Hausdorff Matching},
volume = {48},
year = {2015}
}
◼ Estimating Graph Edit Distance Using Lower and Upper Bounds of Bipartite Approximations
K. Riesen, A. Fischer, H. Bunke
International Journal of Pattern Recognition and Artificial Intelligence, Volume 29, Number 2, pp. 1–27, 2015
@article{Riesen2015b,
author = {K. Riesen, A. Fischer, and H. Bunke},
journal = {International Journal of Pattern Recognition and Artificial Intelligence},
number = {2},
pages = {1–27},
title = {Estimating Graph Edit Distance Using Lower and Upper Bounds of Bipartite Approximations},
volume = {29},
year = {2015}
}
◼ Omega-Lognormal analysis of oscillatory movements as a function of brain stroke risk factors
A. Bou-Hernandez, A. Fischer, R. Plamondon
Proc. 17th Conf. of the International Graphonomics Society (IGS), pp. 59–62, 2015
@inproceedings{Bou-hernandez2015,
author = {A. Bou-Hernandez, A. Fischer, and R. Plamondon},
booktitle = {Proc. 17th Conf. of the International Graphonomics Society (IGS)},
note = {},
pages = {59–62},
title = {Omega-Lognormal analysis of oscillatory movements as a function of brain stroke risk factors},
year = {2015}
}
◼ Towards an automatic on-line signature verifier using only one reference per signer
M. Diaz, A. Fischer, R. Plamondon, M. Ferrer
Proc. 13th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 631–635, 2015
@inproceedings{Diaz2015,
author = {M. Diaz, A. Fischer, R. Plamondon, and M.A. Ferrer},
booktitle = {Proc. 13th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {631–635},
title = {Towards an automatic on-line signature verifier using only one reference per signer},
year = {2015}
}
◼ A dissimilarity measure for on-line signature verification based on the Sigma-Lognormal model
A. Fischer, R. Plamondon
Proc. 17th Conf. of the International Graphonomics Society (IGS), pp. 83–86, 2015
@inproceedings{Fischer2015,
author = {A. Fischer and R. Plamondon},
booktitle = {Proc. 17th Conf. of the International Graphonomics Society (IGS)},
file = {/research/papers/Fischer2015.pdf},
note = {},
pages = {83–86},
title = {A dissimilarity measure for on-line signature verification based on the Sigma-Lognormal model},
year = {2015}
}
◼ Improving Hausdorff edit distance using structural node context
A. Fischer, S. Uchida, V. Frinken, K. Riesen, H. Bunke
Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR), pp. 148–157, 2015
@inproceedings{Fischer2015a,
author = {A. Fischer, S. Uchida, V. Frinken, K. Riesen, and H. Bunke},
booktitle = {Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR)},
file = {/research/papers/Fischer2015.pdf},
note = {},
pages = {148–157},
title = {Improving Hausdorff edit distance using structural node context},
year = {2015}
}
◼ Robust score normalization for DTW-based on-line signature verification
A. Fischer, M. Diaz, R. Plamondon, M. Ferrer
Proc. 13th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 241–245, 2015
@inproceedings{Fischer2015b,
author = {A. Fischer, M. Diaz, R. Plamondon, and M.A. Ferrer},
booktitle = {Proc. 13th Int. Conf. on Document Analysis and Recognition (ICDAR)},
file = {/research/papers/Fischer2015.pdf},
note = {},
pages = {241–245},
title = {Robust score normalization for DTW-based on-line signature verification},
year = {2015}
}
◼ Building classifier ensembles using greedy graph edit distance
K. Riesen, M. Ferrer, A. Fischer
Proc. 12th Int. Workshop on Multiple Classifier Systems (MCS), pp. 125–134, 2015
@inproceedings{Riesen2015,
author = {K. Riesen, M. Ferrer, and A. Fischer},
booktitle = {Proc. 12th Int. Workshop on Multiple Classifier Systems (MCS)},
note = {},
pages = {125–134},
title = {Building classifier ensembles using greedy graph edit distance},
year = {2015}
}
◼ Approximation of graph edit distance in quadratic time
K. Riesen, M. Ferrer, A. Fischer, H. Bunke
Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR), pp. 3–12, 2015
@inproceedings{Riesen2015a,
author = {K. Riesen, M. Ferrer, A. Fischer, and H. Bunke},
booktitle = {Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition (GbR)},
note = {},
pages = {3–12},
title = {Approximation of graph edit distance in quadratic time},
year = {2015}
}
◼ Clustering historical documents based on the reconstruction error of autoencoders
M. Seuret, A. Fischer, A. Garz, M. Liwicki, R. Ingold
Proc. 3rd Int. Workshop on Historical Document Imaging and Processing (HIP), pp. 85–91, 2015
@inproceedings{Seuret2015,
author = {M. Seuret, A. Fischer, A. Garz, M. Liwicki, and R. Ingold},
booktitle = {Proc. 3rd Int. Workshop on Historical Document Imaging and Processing (HIP)},
note = {},
pages = {85–91},
title = {Clustering historical documents based on the reconstruction error of autoencoders},
year = {2015}
}
◼ Selecting autoencoder features for layout analysis of historical documents
H. Wei, M. Seuret, K. Chen, A. Fischer, M. Liwicki, R. Ingold, X. Zhong
Proc. 3rd Int. Workshop on Historical Document Imaging and Processing (HIP), pp. 55–62, 2015
@inproceedings{Wei2015,
author = {H. Wei, M. Seuret, K. Chen, A. Fischer, M. Liwicki, R. Ingold, and X. Zhong},
booktitle = {Proc. 3rd Int. Workshop on Historical Document Imaging and Processing (HIP)},
note = {},
pages = {55–62},
title = {Selecting autoencoder features for layout analysis of historical documents},
year = {2015}
}
2014
◼ The HisDoc Project. Automatic Analysis, Recognition, and Retrieval of Handwritten Historical Documents for Digital Libraries
A. Fischer, H. Bunke, N. Naji, J. Savoy, M. Baechler, R. Ingold
Internationality and Interdisciplinarity in Edition Philology, Volume 38, pp. 91–106, 2014
@incollection{Fischer2014c,
author = {A. Fischer, H. Bunke, N. Naji, J. Savoy, M. Baechler, and R. Ingold},
booktitle = {Internationality and Interdisciplinarity in Edition Philology},
editor = {M. Stolz and Y.-C. Chen},
pages = {91–106},
series = {Beihefte zu Editio},
title = {The {HisDoc} Project. {A}utomatic Analysis, Recognition, and Retrieval of Handwritten Historical Documents for Digital Libraries},
volume = {38},
year = {2014}
}
◼ Keyword Spotting for Self-Training of BLSTM NN Based Handwriting Recognition Systems
V. Frinken, A. Fischer, M. Baumgartner, H. Bunke
Pattern Recognition, Volume 47, Number 3, pp. 1073–1082, 2014
@article{Frinken2014a,
author = {V. Frinken, A. Fischer, M. Baumgartner, and H. Bunke},
journal = {Pattern Recognition},
number = {3},
pages = {1073–1082},
title = {Keyword Spotting for Self-Training of BLSTM NN Based Handwriting Recognition Systems},
volume = {47},
year = {2014}
}
◼ Neural Network Language Models for Off-Line Handwriting Recognition
F. Zamora-Martinez, V. Frinken, S. Espana-Boquera, M. J. Castro-Bleda, A. Fischer, H. Bunke
Pattern Recognition, Volume 47, Number 4, pp. 1642–1652, 2014
@article{Zamora-martinez2014,
author = {F. Zamora-Martinez, V. Frinken, S. Espana-Boquera, M. J. Castro-Bleda, A. Fischer, and H. Bunke},
journal = {Pattern Recognition},
number = {4},
pages = {1642–1652},
title = {Neural Network Language Models for Off-Line Handwriting Recognition},
volume = {47},
year = {2014}
}
◼ A feature extraction method for cursive character recognition using higher-order singular value decomposition
M. Ameri, M. Haji, A. Fischer, D. Ponson, T. Bui
Proc. 14th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 512–516, 2014
@inproceedings{Ameri2014,
author = {M.R. Ameri, M. Haji, A. Fischer, D. Ponson, and T.D. Bui},
booktitle = {Proc. 14th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR)},
note = {},
pages = {512–516},
title = {A feature extraction method for cursive character recognition using higher-order singular value decomposition},
year = {2014}
}
◼ A combined system for text line extraction and handwriting recognition in historical documents
A. Fischer, M. Baechler, A. Garz, M. Liwicki, R. Ingold
Proc. 11th Int. Workshop on Document Analysis Systems (DAS), pp. 71–75, 2014
@inproceedings{Fischer2014,
author = {A. Fischer, M. Baechler, A. Garz, M. Liwicki, and R. Ingold},
booktitle = {Proc. 11th Int. Workshop on Document Analysis Systems (DAS)},
note = {},
pages = {71–75},
title = {A combined system for text line extraction and handwriting recognition in historical documents},
year = {2014}
}
◼ A Hausdorff heuristic for efficient computation of graph edit distance
A. Fischer, R. Plamondon, Y. Savaria, K. Riesen, H. Bunke
Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR), pp. 83–92, 2014
@inproceedings{Fischer2014a,
author = {A. Fischer, R. Plamondon, Y. Savaria, K. Riesen, and H. Bunke},
booktitle = {Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR)},
note = {},
pages = {83–92},
title = {A Hausdorff heuristic for efficient computation of graph edit distance},
year = {2014}
}
◼ Neuromuscular representation and synthetic generation of handwritten whiteboard notes
A. Fischer, R. Plamondon, C. O’Reilly, Y. Savaria
Proc. 14th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 222–227, 2014
@inproceedings{Fischer2014b,
author = {A. Fischer, R. Plamondon, C. {O’Reilly}, and Y. Savaria},
booktitle = {Proc. 14th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR)},
note = {},
pages = {222–227},
title = {Neuromuscular representation and synthetic generation of handwritten whiteboard notes},
year = {2014}
}
◼ A cache language model for whole document handwriting recognition
V. Frinken, D. Karatzas, A. Fischer
Proc. 11th Int. Workshop on Document Analysis Systems (DAS), pp. 166–170, 2014
@inproceedings{Frinken2014,
author = {V. Frinken, D. Karatzas, and A. Fischer},
booktitle = {Proc. 11th Int. Workshop on Document Analysis Systems (DAS)},
note = {},
pages = {166–170},
title = {A cache language model for whole document handwriting recognition},
year = {2014}
}
◼ Combining bipartite graph matching and beam search for graph edit distance approximation
K. Riesen, A. Fischer, H. Bunke
Proc. 6th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), pp. 117–128, 2014
@inproceedings{Riesen2014,
author = {K. Riesen, A. Fischer, and H. Bunke},
booktitle = {Proc. 6th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR)},
note = {},
pages = {117–128},
title = {Combining bipartite graph matching and beam search for graph edit distance approximation},
year = {2014}
}
◼ Computing upper and lower bounds of graph edit distance in cubic time
K. Riesen, A. Fischer, H. Bunke
Proc. 6th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), pp. 129–140, 2014
@inproceedings{Riesen2014a,
author = {K. Riesen, A. Fischer, and H. Bunke},
booktitle = {Proc. 6th Int. Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR)},
note = {},
pages = {129–140},
title = {Computing upper and lower bounds of graph edit distance in cubic time},
year = {2014}
}
◼ Improving approximate graph edit distance using genetic algorithms
K. Riesen, A. Fischer, H. Bunke
Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR), pp. 3910–3914, 2014
@inproceedings{Riesen2014b,
author = {K. Riesen, A. Fischer, and H. Bunke},
booktitle = {Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR)},
note = {},
pages = {3910–3914},
title = {Improving approximate graph edit distance using genetic algorithms},
year = {2014}
}
◼ Improving graph edit distance approximation by centrality measures
K. Riesen, A. Fischer, H. Bunke
Proc. 22nd Int. Conf. on Pattern Recognition (ICPR), pp. 3910–3914, 2014
@inproceedings{Riesen2014c,
author = {K. Riesen, A. Fischer, and H. Bunke},
booktitle = {Proc. 22nd Int. Conf. on Pattern Recognition (ICPR)},
note = {},
pages = {3910–3914},
title = {Improving graph edit distance approximation by centrality measures},
year = {2014}
}
2013
◼ Application of Hidden Markov Models for Handwriting Recognition
A. Fischer, V. Frinken, H. Bunke
Machine Learning: Theory and Applications, Volume 31, pp. 421–442, 2013
@incollection{Fischer2013c,
author = {A. Fischer, V. Frinken, and H. Bunke},
booktitle = {Machine Learning: Theory and Applications},
editor = {C.R. Rao and V. Govindaraju},
pages = {421–442},
series = {Handbook of Statistics},
title = {Application of Hidden {M}arkov Models for Handwriting Recognition},
volume = {31},
year = {2013}
}
◼ A fast matching algorithm for graph-based handwriting recognition
A. Fischer, C. Y. Suen, V. Frinken, K. Riesen, H. Bunke
Proc. 9th Int. Workshop on Graph-Based Representations (GbR), pp. 194–203, 2013
@inproceedings{Fischer2013,
author = {A. Fischer, C. Y. Suen, V. Frinken, K. Riesen, and H. Bunke},
booktitle = {Proc. 9th Int. Workshop on Graph-Based Representations (GbR)},
note = {},
pages = {194–203},
title = {A fast matching algorithm for graph-based handwriting recognition},
year = {2013}
}
◼ Generation of learning samples for historical handwriting recognition
using image degradation
A. Fischer, V. C. Kieu, M. Visani, C. Y. Suen
Proc. 2nd Int. Workshop on Historical Document Imaging and
Processing (HIP), pp. 73–79, 2013
@inproceedings{Fischer2013a,
author = {A. Fischer, V. C. Kieu, M. Visani, and C. Y. Suen},
booktitle = {Proc. 2nd Int. Workshop on Historical Document Imaging and
Processing (HIP)},
note = {},
pages = {73–79},
title = {Generation of learning samples for historical handwriting recognition
using image degradation},
year = {2013}
}
◼ Improving HMM-based keyword spotting with character language models
A. Fischer, V. Frinken, H. Bunke, C. Y. Suen
Proc. 12th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 506–510, 2013
@inproceedings{Fischer2013b,
author = {A. Fischer, V. Frinken, H. Bunke, and C. Y. Suen},
booktitle = {Proc. 12th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {506–510},
title = {Improving HMM-based keyword spotting with character language models},
year = {2013}
}
◼ Handwriting recognition in historical documents using very large
vocabularies
V. Frinken, A. Fischer, C. D. Martinez-Hinarejos
Proc. 2nd Int. Workshop on Historical Document Imaging and
Processing (HIP), pp. 67–72, 2013
@inproceedings{Frinken2013,
author = {V. Frinken, A. Fischer, and C. D. Martinez-Hinarejos},
booktitle = {Proc. 2nd Int. Workshop on Historical Document Imaging and
Processing (HIP)},
note = {},
pages = {67–72},
title = {Handwriting recognition in historical documents using very large
vocabularies},
year = {2013}
}
◼ A binarization-free clustering approach to segment curved text lines
in historical manuscripts
A. Garz, A. Fischer, H. Bunke, R. Ingold
Proc. 12th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 1290–1294, 2013
@inproceedings{Garz2013,
author = {A. Garz, A. Fischer, H. Bunke, and R. Ingold},
booktitle = {Proc. 12th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {1290–1294},
title = {A binarization-free clustering approach to segment curved text lines
in historical manuscripts},
year = {2013}
}
◼ A discriminative approach to on-line handwriting recognition using
bi-character models
S. Prum, M. Visani, A. Fischer, J. Ogier
Proc. 12th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 364–368, 2013
@inproceedings{Prum2013,
author = {S. Prum, M. Visani, A. Fischer, and J.-M. Ogier},
booktitle = {Proc. 12th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {364–368},
title = {A discriminative approach to on-line handwriting recognition using
bi-character models},
year = {2013}
}
2012
◼ Lexicon-Free Handwritten Word Spotting Using Character HMMs
A. Fischer, A. Keller, V. Frinken, H. Bunke
Pattern Recognition Letters, Volume 33, Number 7, pp. 934–942, 2012
@article{Fischer2012,
author = {A. Fischer, A. Keller, V. Frinken, and H. Bunke},
journal = {Pattern Recognition Letters},
number = {7},
pages = {934–942},
title = {Lexicon-Free Handwritten Word Spotting Using Character {HMM}s},
volume = {33},
year = {2012}
}
◼ A Novel Word Spotting Method Based on Recurrent Neural Networks
V. Frinken, A. Fischer, R. Manmatha, H. Bunke
IEEE Trans. PAMI, Volume 34, Number 2, pp. 211–224, 2012
@article{Frinken2012b,
author = {V. Frinken, A. Fischer, R. Manmatha, and H. Bunke},
journal = {IEEE Trans. PAMI},
number = {2},
pages = {211–224},
title = {A Novel Word Spotting Method Based on Recurrent Neural Networks},
volume = {34},
year = {2012}
}
◼ HisDoc: historical document analysis, recognition, and retrieval
M. Baechler, A. Fischer, N. Naji, R. Ingold, H. Bunke, J. Savoy
Proc. Digital Humanities (DH), pp. 94–97, 2012
@inproceedings{Baechler2012,
author = {M. Baechler, A. Fischer, N. Naji, R. Ingold, H. Bunke, and J. Savoy},
booktitle = {Proc. Digital Humanities (DH)},
note = {},
pages = {94–97},
title = {{HisDoc}: historical document analysis, recognition, and retrieval},
year = {2012}
}
◼ Long-short term memory neural networks language modeling for handwriting recognition
V. Frinken, F. Zamora-Mart’inez, S. E. na-Boquera, M. J. Castro-Bleda, A. Fischer, H. Bunke
Proc. 21st Int. Conf. on Pattern Recognition (ICPR), pp. 701–704, 2012
@inproceedings{Frinken2012,
author = {V. Frinken, F. Zamora-Mart’{i}nez, S. Espa {n}a-Boquera, M. J. Castro-Bleda, A. Fischer, and H. Bunke},
booktitle = {Proc. 21st Int. Conf. on Pattern Recognition (ICPR)},
note = {},
pages = {701–704},
title = {Long-short term memory neural networks language modeling for handwriting recognition},
year = {2012}
}
◼ Semi-supervised learning for cursive handwriting recognition using keyword spotting
V. Frinken, M. Baumgartner, A. Fischer, H. Bunke
Proc. 13th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR), pp. 49–54, 2012
@inproceedings{Frinken2012a,
author = {V. Frinken, M. Baumgartner, A. Fischer, and H. Bunke},
booktitle = {Proc. 13th Int. Conf. on Frontiers in Handwriting Recognition (ICFHR)},
note = {},
pages = {49–54},
title = {Semi-supervised learning for cursive handwriting recognition using keyword spotting},
year = {2012}
}
◼ Binarization-free text line segmentation for historical documents based on interest point clustering
A. Garz, A. Fischer, R. Sablatnig, H. Bunke
Proc. 10th Int. Workshop on Document Analysis Systems (DAS), pp. 95–99, 2012
@inproceedings{Garz2012,
author = {A. Garz, A. Fischer, R. Sablatnig, and H. Bunke},
booktitle = {Proc. 10th Int. Workshop on Document Analysis Systems (DAS)},
note = {},
pages = {95–99},
title = {Binarization-free text line segmentation for historical documents based on interest point clustering},
year = {2012}
}
2011
◼ Character prototype selection for handwriting recognition in
historical documents with graph similarity features
A. Fischer, H. Bunke
Proc. 19th European Signal Processing Conference (EUSIPCO), pp. , 2011
@inproceedings{Fischer2011,
author = {A. Fischer and H. Bunke},
booktitle = {Proc. 19th European Signal Processing Conference (EUSIPCO)},
note = {},
pages = {},
title = {Character prototype selection for handwriting recognition in
historical documents with graph similarity features},
year = {2011}
}
◼ HMM-based alignment of inaccurate transcriptions for historical
documents
A. Fischer, E. Indermüuhle, V. Frinken, H. Bunke
Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 53–57, 2011
@inproceedings{Fischer2011a,
author = {A. Fischer, E. Indermüuhle, V. Frinken, and H. Bunke},
booktitle = {Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {53–57},
title = {{HMM}-based alignment of inaccurate transcriptions for historical
documents},
year = {2011}
}
◼ Transcription alignment of Latin manuscripts using hidden Markov
models
A. Fischer, V. Frinken, A. Fornes, H. Bunke
Proc. 1st Int. Workshop on Historical Document Imaging and
Processing (HIP), pp. 29–36, 2011
@inproceedings{Fischer2011b,
author = {A. Fischer, V. Frinken, A. Fornes, and H. Bunke},
booktitle = {Proc. 1st Int. Workshop on Historical Document Imaging and
Processing (HIP)},
note = {},
pages = {29–36},
title = {Transcription alignment of Latin manuscripts using hidden {M}arkov
models},
year = {2011}
}
◼ A keyword spotting approach using blurred shape model-based
descriptors
A. Fornes, V. Frinken, A. Fischer, J. Almaz’an, G. Jackson, a. H. Bunke
Proc. 1st Int. Workshop on Historical Document Imaging and
Processing (HIP), pp. 83–90, 2011
@inproceedings{Fornes2011,
author = {A. Fornes, V. Frinken, A. Fischer, J. Almaz’{a}n, G. Jackson, and
H. Bunke},
booktitle = {Proc. 1st Int. Workshop on Historical Document Imaging and
Processing (HIP)},
note = {},
pages = {83–90},
title = {A keyword spotting approach using blurred shape model-based
descriptors},
year = {2011}
}
◼ Co-training for handwritten word recognition
V. Frinken, A. Fischer, H. Bunke, A. Fornes
Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 314–318, 2011
@inproceedings{Frinken2011,
author = {V. Frinken, A. Fischer, H. Bunke, and A. Fornes},
booktitle = {Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {314–318},
title = {Co-training for handwritten word recognition},
year = {2011}
}
◼ Improving handwritten keyword spotting with self-training
V. Frinken, A. Fischer, H. Bunke
Proc. 26th Symposium On Applied Computing (SAC), pp. 838–843, 2011
@inproceedings{Frinken2011a,
author = {V. Frinken, A. Fischer, and H. Bunke},
booktitle = {Proc. 26th Symposium On Applied Computing (SAC)},
note = {},
pages = {838–843},
title = {Improving handwritten keyword spotting with self-training},
year = {2011}
}
◼ Keyword spotting in online handwritten documents containing text and
non-text using BLSTM neural networks
E. Indermüuhle, V. Frinken, A. Fischer, H. Bunke
Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 73–77, 2011
@inproceedings{Indermü{u}hle2011,
author = {E. Indermü{u}hle, V. Frinken, A. Fischer, and H. Bunke},
booktitle = {Proc. 11th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {73–77},
title = {Keyword spotting in online handwritten documents containing text and
non-text using {BLSTM} neural networks},
year = {2011}
}
2010
◼ Ground truth creation for handwriting recognition in historical
documents
A. Fischer, E. Indermühle, H. Bunke, G. Viehhauser, M. Stolz
Proc. 9th Int. Workshop on Document Analysis Systems (DAS), pp. , 2010
@inproceedings{Fischer2010,
author = {A. Fischer, E. Indermühle, H. Bunke, G. Viehhauser, and M. Stolz},
booktitle = {Proc. 9th Int. Workshop on Document Analysis Systems (DAS)},
note = {},
pages = {},
title = {Ground truth creation for handwriting recognition in historical
documents},
year = {2010}
}
◼ Graph similarity features for HMM-based handwriting recognition in
historical documents
A. Fischer, K. Riesen, H. Bunke
Proc. 12th Int. Conf. on Frontiers in Handwriting
Recognition (ICFHR), pp. 253–258, 2010
@inproceedings{Fischer2010a,
author = {A. Fischer, K. Riesen, and H. Bunke},
booktitle = {Proc. 12th Int. Conf. on Frontiers in Handwriting
Recognition (ICFHR)},
note = {},
pages = {253–258},
title = {Graph similarity features for {HMM}-based handwriting recognition in
historical documents},
year = {2010}
}
◼ HMM-based word spotting in handwritten documents using subword
models
A. Fischer, A. Keller, V. Frinken, H. Bunke
Proc. 20th Int. Conf. on Pattern Recognition (ICPR), pp. , 2010
Best Scientific Paper Award
@inproceedings{Fischer2010b,
author = {A. Fischer, A. Keller, V. Frinken, and H. Bunke},
booktitle = {Proc. 20th Int. Conf. on Pattern Recognition (ICPR)},
note = {Best Scientific Paper Award},
pages = {},
title = {{HMM}-based word spotting in handwritten documents using subword
models},
year = {2010}
}
◼ Adapting BLSTM neural network based keyword spotting trained on
modern data to historical documents
V. Frinken, A. Fischer, R. Manmatha, H. Bunke
Proc. 12th Int. Conf. on Frontiers in Handwriting
Recognition (ICFHR), pp. 352–357, 2010
@inproceedings{Frinken2010,
author = {V. Frinken, A. Fischer, R. Manmatha, and H. Bunke},
booktitle = {Proc. 12th Int. Conf. on Frontiers in Handwriting
Recognition (ICFHR)},
note = {},
pages = {352–357},
title = {Adapting {BLSTM} neural network based keyword spotting trained on
modern data to historical documents},
year = {2010}
}
◼ Combining neural networks to improve performance of handwritten
keyword spotting
V. Frinken, A. Fischer, H. Bunke
Proc. 9th Int. Workshop on Multiple Classifier Systems (MCS), pp. 215–224, 2010
@inproceedings{Frinken2010a,
author = {V. Frinken, A. Fischer, and H. Bunke},
booktitle = {Proc. 9th Int. Workshop on Multiple Classifier Systems (MCS)},
note = {},
pages = {215–224},
title = {Combining neural networks to improve performance of handwritten
keyword spotting},
year = {2010}
}
◼ A novel word spotting algorithm using bidirectional long short-term
memory neural networks
V. Frinken, A. Fischer, H. Bunke
Proc. 4th Int. Workshop on Artificial Neural Networks in
Pattern Recognition (ANNPR), pp. 185–196, 2010
@inproceedings{Frinken2010b,
author = {V. Frinken, A. Fischer, and H. Bunke},
booktitle = {Proc. 4th Int. Workshop on Artificial Neural Networks in
Pattern Recognition (ANNPR)},
note = {},
pages = {185–196},
title = {A novel word spotting algorithm using bidirectional long short-term
memory neural networks},
year = {2010}
}
2009
◼ Automatic transcription of handwritten medieval documents
A. Fischer, M. Wüthrich, M. Liwicki, V. Frinken, H. Bunke, G. Viehhauser, a. M. Stolz
Proc. 15th Int. Conf. on Virtual Systems and Multimedia (VSMM), pp. 137–142, 2009
@inproceedings{Fischer2009,
author = {A. Fischer, M. Wüthrich, M. Liwicki, V. Frinken, H. Bunke, G. Viehhauser,
and M. Stolz},
booktitle = {Proc. 15th Int. Conf. on Virtual Systems and Multimedia (VSMM)},
note = {},
pages = {137–142},
title = {Automatic transcription of handwritten medieval documents},
year = {2009}
}
◼ Kernel PCA for HMM-based cursive handwriting recognition
A. Fischer, H. Bunke
Proc. 13th Int. Conf. on Computer Analysis of Images and
Patterns (CAIP), pp. 181–188, 2009
@inproceedings{Fischer2009a,
author = {A. Fischer and H. Bunke},
booktitle = {Proc. 13th Int. Conf. on Computer Analysis of Images and
Patterns (CAIP)},
note = {},
pages = {181–188},
title = {Kernel {PCA} for {HMM}-based cursive handwriting recognition},
year = {2009}
}
◼ Improved handwriting recognition by combining two forms of hidden
Markov models and a recurrent neural network
V. Frinken, T. Peter, A. Fischer, H. Bunke, T. Do, T. Artieres
Proc. 13th Int. Conf. on Computer Analysis of Images and
Patterns (CAIP), pp. 189–196, 2009
@inproceedings{Frinken2009,
author = {V. Frinken, T. Peter, A. Fischer, H. Bunke, T.-M.-T. Do, and T. Artieres},
booktitle = {Proc. 13th Int. Conf. on Computer Analysis of Images and
Patterns (CAIP)},
note = {},
pages = {189–196},
title = {Improved handwriting recognition by combining two forms of hidden
{M}arkov models and a recurrent neural network},
year = {2009}
}
◼ Language model integration for the recognition of handwritten
medieval documents
M. Wüthrich, M. Liwicki, A. Fischer, E. Indermuhle, H. Bunke, G. Viehhauser, M. Stolz
Proc. 10th Int. Conf. on Document Analysis and Recognition (ICDAR), pp. 211–215, 2009
@inproceedings{Wüthrich2009,
author = {M. Wüthrich, M. Liwicki, A. Fischer, E. Indermuhle, H. Bunke,
G. Viehhauser, and M. Stolz},
booktitle = {Proc. 10th Int. Conf. on Document Analysis and Recognition (ICDAR)},
note = {},
pages = {211–215},
title = {Language model integration for the recognition of handwritten
medieval documents},
year = {2009}
}
2008
◼ An experimental study of graph classification using prototype
selection
A. Fischer, K. Riesen, H. Bunke
Proc. 19th Int. Conf. on Pattern Recognition (ICPR), pp. 1–4, 2008
@inproceedings{Fischer2008,
author = {A. Fischer, K. Riesen, and H. Bunke},
booktitle = {Proc. 19th Int. Conf. on Pattern Recognition (ICPR)},
note = {},
pages = {1–4},
title = {An experimental study of graph classification using prototype
selection},
year = {2008}
}