Publications

The following list includes all publications of the pattern recognition group of the last five years. Complete bibliography of Kaspar Riesen.

Journal papers

Anthony Gillioz, Kaspar Riesen:
Graph-based pattern recognition on spectral reduced graphs. Pattern Recognit. 144: 109859 (2023)
Anthony Gillioz, Kaspar Riesen:
Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs. SN Comput. Sci. 4(6): 743 (2023)

Mathias Fuchs, Kaspar Riesen:
A novel way to formalize stable graph cores by using matching-graphs. Pattern Recognit. 131: 108846 (2022)

Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Filters for graph-based keyword spotting in historical handwritten documents. Pattern Recognit. Lett. 134: 125-134 (2020)
Kaspar Riesen, Miquel Ferrer, Horst Bunke:
Approximate Graph Edit Distance in Quadratic Time. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 483-494 (2020)

Kalvin Dobler, Kaspar Riesen:
Learning Graph Matching with Graph Neural Networks. ANNPR 2024: 3-12
Hannes Thurnherr, Kaspar Riesen:
Neural Decompiling of Tracr Transformers. ANNPR 2024: 25-36
Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Leveraging LSTM Embeddings for River Water Temperature Modeling. ANNPR 2024: 283-294
Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Impute Water Temperature in the Swiss River Network Using LSTMs. ICPRAM 2024: 732-738

Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen:
Bridging Distinct Spaces in Graph-Based Machine Learning. ACPR (2) 2023: 1-14
Anthony Gillioz, Kaspar Riesen:
Graph-Based vs. Vector-Based Classification: A Fair Comparison. GbRPR 2023: 25-34
Mathias Fuchs, Kaspar Riesen:
Matching-Graphs for Building Classification Ensembles. GbRPR 2023: 102-112
Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Graph-Based Deep Learning on the Swiss River Network. GbRPR 2023: 172-181
Anthony Gillioz, Kaspar Riesen:
Two-Step Graph Classification on the Basis of Hierarchical Graphs. ICPRAM 2023: 296-303
Corina Masanti, Hans Friedrich Witschel, Kaspar Riesen:
Novel Benchmark Data Set for Automatic Error Detection and Correction. NLDB 2023: 511-521

Mathias Fuchs, Kaspar Riesen:
Graph Augmentation for Neural Networks Using Matching-Graphs. ANNPR 2022: 3-15
Anthony Gillioz, Kaspar Riesen:
Speeding up Graph Matching by Means of Systematic Graph Reductions Using Centrality Measures. ICPRS 2022
Mathias Fuchs, Kaspar Riesen:
Augment Small Training Sets Using Matching-Graphs. ICPRAI (2) 2022: 343-354
Anthony Gillioz, Kaspar Riesen:
Improving Graph Classification by Means of Linear Combinations of Reduced Graphs. ICPRAM 2022: 17-23
Anthony Gillioz, Kaspar Riesen:
Graph Reduction Neural Networks for Structural Pattern Recognition. S+SSPR 2022: 64-73

Mathias Fuchs, Kaspar Riesen:
Iterative Creation of Matching-Graphs – Finding Relevant Substructures in Graph Sets. CIARP 2021: 382-391
Hans Friedrich Witschel, Kaspar Riesen, Loris Grether:
Natural Language-based User Guidance for Knowledge Graph Exploration: A User Study. KDIR 2021: 95-102
Mathias Fuchs, Kaspar Riesen:
Graph Embedding in Vector Spaces Using Matching-Graphs. SISAP 2021: 352-363

Hans Friedrich Witschel, Kaspar Riesen, Loris Grether KvGR:
A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources. ECIR (1) 2020: 760-773
Mathias Fuchs, Kaspar Riesen:
Matching of Matching-Graphs – A Novel Approach for Graph Classification. ICPR 2020: 6570-6576
Kaspar Riesen, Hans Friedrich Witschel, Loris Grether:
A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching. S+SSPR 2020: 205-215

Paul Maergner, Kaspar Riesen, Rolf Ingold and Andreas Fischer:
Signature Verification via Graph-Based Methods. Handbook of Pattern Recognition and Computer Vision 2020: 305–322

Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Searching and Browsing in Historical Documents — State of the Art and Novel Approaches for Template-Based Keyword Spotting. Business Information Systems and Technology 4.0. 2018