2026

◼ Benchmarking Information Retrieval for Large Archives of Historical Documents
T. Steiner, M. Streilein, A. Fischer, K. Riesen
Document Analysis and Recognition – ICDAR 2026, pp. 54–69
BibTeX

◼ BullingerDB: A Dataset for Handwritten Text Recognition and Writer Retrieval
M. Peer, A. Scius-Bertrand, P. Scheurer, A. Fischer
Document Analysis and Recognition – ICDAR 2026, pp. 555–571
BibTeX

◼ Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
A. Iste, K. Nishizawa, C. Tanaka, A. Vargo, A. Scius-Bertrand, A. Fischer, K. Kise
Document Analysis and Recognition – ICDAR 2026, pp. 645–661
BibTeX

◼ Segmentation-Free Handwriting Recognition in Historical Handwritten Documents Using Large Vision-Language Models
T. Hallyburton, L. Berset, G. A. Fink, A. Fischer, A. Scius-Bertrand
Information and Communication Technology, pp. 126–140, 2026
BibTeX

◼ The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation
M. Jungo, A. An
Proceedings of the 2026 ACM Symposium on Document Engineering, pp. 1–4
BibTeX

◼ Token Selection Strategies for Automatic Summarization of Historical Documents
M. Streilein, T. Steiner, A. Fischer, K. Riesen
Document Analysis and Recognition – ICDAR 2026, pp. 195–210
BibTeX

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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ Deep Neural Network Generation of Domain Names
A. Cholleton, A. Fischer, J. Hennebert, Y. Labrou, V. Raemy, A. West, B. Wicht
Number US12169768, 2024
BibTeX

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
BibTeX

◼ Universality of Büchi Automata: Analysis with Graph Neural Networks
C. Stammet, U. Ultes-Nitsche, A. Fischer
IEEE Access, Volume 11, pp. 140993–141007, 2023
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

◼ Deep Neural Network Generation of Domain Names
A. Cholleton, A. Fischer, J. Hennebert, V. Raemy, B. Wicht
Number US11431672, 2022
BibTeX

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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

2020

◼ Handwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends
A. Fischer, M. Liwicki, R. Ingold
Series in Machine Perception and Artificial Intelligence, 2020
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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), 2020
PDF BibTeX

◼ 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
BibTeX

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
PDF BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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), 2019
BibTeX

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
PDF BibTeX

◼ 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
BibTeX

◼ Keyword Spotting in Historical Handwritten Documents based on Graph Matching
M. Stauffer, A. Fischer, K. Riesen
Pattern Recognition, Volume 81, pp. 240–253, 2018
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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), 2017
BibTeX

◼ Model-based Delineation of Non-Uniformly Sampled ECG Signals
T. Niederhauser, A. Haeberlin, B. Jesacher, A. Fischer, H. Tanner
Proc. Computing in Cardiology (CinC), 2017
BibTeX

◼ 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), 2017
BibTeX

◼ 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
BibTeX

◼ 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), 2017
BibTeX

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
PDF BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
PDF BibTeX

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
PDF BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
PDF BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

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
BibTeX

◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
BibTeX

◼ 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
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◼ 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
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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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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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
BibTeX

◼ 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
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◼ 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
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◼ 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
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◼ 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
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◼ 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
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2011

◼ A keyword spotting approach using blurred shape model-based descriptors
A. Fornes, V. Frinken, A. Fischer, J. Almaz’an, H. Bunke
Proc. 1st Int. Workshop on Historical Document Imaging and Processing (HIP), pp. 83–90, 2011
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◼ Character prototype selection for handwriting recognition in historical documents with graph similarity features
A. Fischer, H. Bunke
Proc. 19th European Signal Processing Conference (EUSIPCO), 2011
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◼ 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
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◼ 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
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◼ Improving handwritten keyword spotting with self-training
V. Frinken, A. Fischer, H. Bunke
Proc. 26th Symposium On Applied Computing (SAC), pp. 838–843, 2011
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◼ 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
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◼ 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
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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
BibTeX

◼ 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
BibTeX

◼ 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
BibTeX

◼ 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
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◼ 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), 2010
BibTeX

◼ 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), 2010
Best Scientific Paper Award
BibTeX

2009

◼ Automatic transcription of handwritten medieval documents
A. Fischer, M. Wüthrich, M. Liwicki, V. Frinken, H. Bunke, G. Viehhauser, M. Stolz
Proc. 15th Int. Conf. on Virtual Systems and Multimedia (VSMM), pp. 137–142, 2009
BibTeX

◼ 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
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◼ 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
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◼ 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
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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
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