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Gillioz, Anthony; Riesen, Kaspar (2023). Graph-based pattern recognition on spectral reduced graphs. Pattern recognition, 144 Elsevier 10.1016/j.patcog.2023.109859
Gillioz, Anthony; Riesen, Kaspar (2023). Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs. SN computer science, 4(6), p. 743. Springer 10.1007/s42979-023-02194-1
Jia, Linlin; Ning, Xiao; Gaüzère, Benoit; Honeine, Paul; Riesen, Kaspar (2023). Bridging Distinct Spaces in Graph-Based Machine Learning. In: Asian Conference on Pattern Recognition. Lecture Notes in Computer Science: Vol. 14407 (pp. 1-14). Cham: Springer 10.1007/978-3-031-47637-2_1
Gillioz, Anthony; Riesen, Kaspar (2023). Graph-Based vs. Vector-Based Classification: A Fair Comparison. In: International Workshop on Graph-Based Representations in Pattern Recognition. Lecture Notes in Computer Science: Vol. 14121 (pp. 25-34). Cham: Springer 10.1007/978-3-031-42795-4_3
Fuchs, Mathias; Riesen, Kaspar (2023). Matching-Graphs for Building Classification Ensembles. In: International Workshop on Graph-Based Representations in Pattern Recognition. Lecture Notes in Computer Science: Vol. 14121 (pp. 102-112). Cham: Springer 10.1007/978-3-031-42795-4_10
Fankhauser, Benjamin; Bigler, Vidushi; Riesen, Kaspar (2023). Graph-Based Deep Learning on the Swiss River Network. In: International Workshop on Graph-Based Representations in Pattern Recognition. Lecture Notes in Computer Science: Vol. 14121 (pp. 172-181). Cham: Springer 10.1007/978-3-031-42795-4_16
Gillioz, Anthony; Riesen, Kaspar (2023). Two-Step Graph Classification on the Basis of Hierarchical Graphs. In: 12th International Conference on Pattern Recognition Applications and Methods 1 (pp. 296-303). SCITEPRESS - Science and Technology Publications 10.5220/0011657000003411
Masanti, Corina; Witschel, Hans-Friedrich; Riesen, Kaspar (2023). Novel Benchmark Data Set for Automatic Error Detection and Correction. In: International Conference on Applications of Natural Language to Information Systems. Lecture Notes in Computer Science: Vol. 13913 (pp. 511-521). Cham: Springer 10.1007/978-3-031-35320-8_38
Gillioz, Anthony; Riesen, Kaspar (2023). Graph Reduction Neural Networks for Structural Pattern Recognition. In: Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). Lecture Notes in Computer Science: Vol. 13813 (pp. 64-73). Cham: Springer 10.1007/978-3-031-23028-8_7
Fuchs, Mathias; Riesen, Kaspar (2022). A novel way to formalize stable graph cores by using matching-graphs. Pattern recognition, 131 Elsevier 10.1016/j.patcog.2022.108846
Fuchs, Mathias; Riesen, Kaspar (2022). Graph Augmentation for Neural Networks Using Matching-Graphs. In: ANNPR 2022: Artificial Neural Networks in Pattern Recognition. Lecture Notes in Computer Science: Vol. 13739 (pp. 3-15). Cham: Springer 10.1007/978-3-031-20650-4_1
Fuchs, Mathias; Riesen, Kaspar (2022). Augment Small Training Sets Using Matching-Graphs. In: ICPRAI: International Conference on Pattern Recognition and Artificial Intelligence. Lecture Notes in Computer Science: Vol. 13364 (pp. 343-354). Cham: Springer 10.1007/978-3-031-09282-4_29
Gillioz, Anthony; Riesen, Kaspar (2022). Improving Graph Classification by Means of Linear Combinations of Reduced Graphs. In: 11th International Conference on Pattern Recognition Applications and Methods 1 (pp. 17-23). SCITEPRESS - Science and Technology Publications 10.5220/0010776900003122
Gillioz, Anthony; Riesen, Kaspar (2022). Speeding up Graph Matching by Means of Systematic Graph Reductions Using Centrality Measures. In: 2022 12th International Conference on Pattern Recognition Systems (ICPRS). IEEE 10.1109/ICPRS54038.2022.9854062
