
{"id":735,"date":"2021-11-01T14:25:01","date_gmt":"2021-11-01T14:25:01","guid":{"rendered":"http:\/\/localhost\/wordpress\/?page_id=735"},"modified":"2025-10-17T07:40:28","modified_gmt":"2025-10-17T07:40:28","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/prg.inf.unibe.ch\/index.php\/publications-2\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<div style=\"height:150px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<section class=\"wp-block-uagb-columns uagb-columns__wrap uagb-columns__background-none uagb-columns__stack-mobile uagb-columns__valign- uagb-columns__gap-10 align uagb-block-9ee2c1c1 uagb-columns__columns-1 uagb-columns__max_width-theme\"><div class=\"uagb-columns__overlay\"><\/div><div class=\"uagb-columns__inner-wrap uagb-columns__columns-1\">\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-d2517def\"><div class=\"uagb-column__overlay\"><\/div>\n<h1 class=\"wp-block-heading\">Publications<\/h1>\n\n\n\n<p>The following list includes all publications of the pattern recognition group of the last five years. <a href=\"http:\/\/prg.inf.unibe.ch\/wp-content\/uploads\/2025\/09\/PubList.pdf\" data-type=\"URL\">Complete bibliography of Kaspar Riesen<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Journal papers<\/h2>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2024<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Anthony Gillioz, Kaspar Riesen:<br><strong>Normalized graph compression distance \u2013 A novel graph matching framework.<\/strong> Pattern Recognit. Lett. 190: 97-104 (2025)<\/li>\n\n\n\n<li>Mathias Fuchs, Kaspar Riesen: <br><strong>Fast approximate maximum common subgraph computation. <\/strong>Pattern Recognit. Lett. 190: 66-72 (2025)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2023<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Anthony Gillioz, Kaspar Riesen:<br><strong>Graph-based pattern recognition on spectral reduced graphs<\/strong>. Pattern Recognit. 144: 109859 (2023)<\/li>\n\n\n\n<li>Anthony Gillioz, Kaspar Riesen:<br><strong>Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs<\/strong>. SN Comput. Sci. 4(6): 743 (2023)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2022<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mathias Fuchs, Kaspar Riesen: <br><strong>A novel way to formalize stable graph cores by using matching-graphs.<\/strong> Pattern Recognit. 131: 108846 (2022)<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2020<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Michael Stauffer, Andreas Fischer, Kaspar Riesen: <br><strong>Filters for graph-based keyword spotting in historical handwritten documents<\/strong>. Pattern Recognit. Lett. 134: 125-134 (2020)<\/li>\n\n\n\n<li>Kaspar Riesen, Miquel Ferrer, Horst Bunke: <br><strong>Approximate Graph Edit Distance in Quadratic Time<\/strong>. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 483-494 (2020)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Conference papers<\/h2>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2025<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fereshteh Jafari, Joseph Moerschell, Kaspar Riesen:<br><strong>Comparison of PV Power Prediction Techniques: From Regression to LSTM Models.<\/strong> ICCAD 2025:1-6<\/li>\n\n\n\n<li>Kalvin Dobler, Kaspar Riesen:<br><strong>A Geometric Perspective on Graph Similarity Learning Using Convex Hulls.<\/strong> GbRPR 2025: 103-112<\/li>\n\n\n\n<li>Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:<br><strong>Exploring a Graph Regression Problem in River Networks. <\/strong>GbRPR 2025: 203-213<\/li>\n\n\n\n<li>Corina Masanti, Hans Friedrich Witschel, Kaspar Riesen:<br><strong>Boosting Language Models for Real-Word Error Detection.<\/strong> ICPRAM 2025: 318-325<\/li>\n\n\n\n<li>Fereshteh Jafari, Joseph Moerschell, Kaspar Riesen:<br><strong>Predicting Photovoltaic Power Output Using LSTM: A Comparative Study Using both Historical and Climate Data.<\/strong> ICPRAM 2025: 733-740<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2024<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Francesco Leonardi, Kaspar Riesen:<br><strong>Dissimilarity-Based Graph Embedding: An Efficient GAT-based Approach.<\/strong> ICPR (10) 2024: 361-374<\/li>\n\n\n\n<li>Corina Masanti, Hans Friedrich Witschel, Kaspar Riesen:<br><strong>Automated Error Detection Through Specialized Task Implementation.<\/strong> ICPRAI (2) 2024: 182-195<\/li>\n\n\n\n<li>Aylin Tastan, Clara Escorihuela-Altaba, Jose F. Garcia-Tirado, Kaspar Riesen:<br><strong>Clustering Time Series Data for Personalized Type 1 Diabetes Management.<\/strong> ICPRAI (2) 2024: 196-211<\/li>\n\n\n\n<li>Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:<br><strong>Impute Water Temperature in the Swiss River Network Using LSTMs.<\/strong> ICPRAM 2024: 732-738<\/li>\n\n\n\n<li>Kalvin Dobler, Kaspar Riesen:<br><strong>Learning Graph Matching with Graph Neural Networks.<\/strong> ANNPR 2024: 3-12<\/li>\n\n\n\n<li>Hannes Thurnherr, Kaspar Riesen:<br><strong>Neural Decompiling of Tracr Transformers.<\/strong> ANNPR 2024: 25-36<\/li>\n\n\n\n<li>Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:<br><strong>Leveraging LSTM Embeddings for River Water Temperature Modeling.<\/strong> ANNPR 2024: 283-294<\/li>\n\n\n\n<li>Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:<br><strong>Impute Water Temperature in the Swiss River Network Using LSTMs.<\/strong> ICPRAM 2024: 732-738<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2023<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Linlin Jia, Xiao Ning, Benoit Ga\u00fcz\u00e8re, Paul Honeine, Kaspar Riesen:<br><strong>Bridging Distinct Spaces in Graph-Based Machine Learning<\/strong>. ACPR (2) 2023: 1-14<\/li>\n\n\n\n<li>Anthony Gillioz, Kaspar Riesen:<br><strong>Graph-Based vs. Vector-Based Classification: A Fair Comparison<\/strong>. GbRPR 2023: 25-34<\/li>\n\n\n\n<li>Mathias Fuchs, Kaspar Riesen:<br><strong>Matching-Graphs for Building Classification Ensembles.<\/strong> GbRPR 2023: 102-112<\/li>\n\n\n\n<li>Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:<br><strong>Graph-Based Deep Learning on the Swiss River Network<\/strong>. GbRPR 2023: 172-181<\/li>\n\n\n\n<li>Anthony Gillioz, Kaspar Riesen:<br><strong>Two-Step Graph Classification on the Basis of Hierarchical Graphs<\/strong>. ICPRAM 2023: 296-303<\/li>\n\n\n\n<li>Corina Masanti, Hans Friedrich Witschel, Kaspar Riesen:<br><strong>Novel Benchmark Data Set for Automatic Error Detection and Correction<\/strong>. NLDB 2023: 511-521<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2022<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mathias Fuchs,&nbsp;Kaspar Riesen:<br><strong>Graph Augmentation for Neural Networks Using Matching-Graphs. <\/strong>ANNPR&nbsp;2022:&nbsp;3-15<\/li>\n\n\n\n<li>Anthony Gillioz, Kaspar Riesen: <br><strong>Speeding up Graph Matching by Means of Systematic Graph Reductions Using Centrality Measures<\/strong>. ICPRS 2022<\/li>\n\n\n\n<li>Mathias Fuchs, Kaspar Riesen: <br><strong>Augment Small Training Sets Using Matching-Graphs<\/strong>. ICPRAI (2) 2022: 343-354<\/li>\n\n\n\n<li>Anthony Gillioz, Kaspar Riesen: <br><strong>Improving Graph Classification by Means of Linear Combinations of Reduced Graphs<\/strong>. ICPRAM 2022: 17-23<\/li>\n\n\n\n<li>Anthony Gillioz, Kaspar Riesen:<br><strong>Graph Reduction Neural Networks for Structural Pattern Recognition<\/strong>. S+SSPR 2022: 64-73<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2021<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mathias Fuchs, Kaspar Riesen: <br><strong>Iterative Creation of Matching-Graphs &#8211; Finding Relevant Substructures in Graph Sets<\/strong>. CIARP 2021: 382-391<\/li>\n\n\n\n<li>Hans Friedrich Witschel, Kaspar Riesen, Loris Grether: <br><strong>Natural Language-based User Guidance for Knowledge Graph Exploration: A User Study<\/strong>. KDIR 2021: 95-102<\/li>\n\n\n\n<li>Mathias Fuchs, Kaspar Riesen: <br><strong>Graph Embedding in Vector Spaces Using Matching-Graphs<\/strong>. SISAP 2021: 352-363<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2020<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hans Friedrich Witschel, Kaspar Riesen, Loris Grether KvGR: <br><strong>A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources<\/strong>. ECIR (1) 2020: 760-773<\/li>\n\n\n\n<li>Mathias Fuchs, Kaspar Riesen: <br><strong>Matching of Matching-Graphs &#8211; A Novel Approach for Graph Classification<\/strong>. ICPR 2020: 6570-6576<\/li>\n\n\n\n<li>Kaspar Riesen, Hans Friedrich Witschel, Loris Grether: <br><strong>A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching<\/strong>. S+SSPR 2020: 205-215<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Book Chapters<\/h2>\n\n\n\n<h6 class=\"wp-block-heading\"><strong>2020<\/strong><\/h6>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Paul Maergner, Kaspar Riesen, Rolf Ingold and Andreas Fischer: <br><strong>Signature Verification via Graph-Based Methods<\/strong>. Handbook of Pattern Recognition and Computer Vision 2020: 305\u2013322<\/li>\n<\/ul>\n<\/div>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>Publications The following list includes all publications of the pattern recognition group of the last five years. Complete bibliography of Kaspar Riesen. Journal papers 2024 2023 2022 2020 Conference papers 2025 2024 2023 2022 2021 2020 Book Chapters 2020<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"no-sidebar","site-content-layout":"plain-container","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"class_list":["post-735","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"admin","author_link":"https:\/\/prg.inf.unibe.ch\/index.php\/author\/admin\/"},"uagb_comment_info":0,"uagb_excerpt":"Publications The following list includes all publications of the pattern recognition group of the last five years. Complete bibliography of Kaspar Riesen. Journal papers 2024 2023 2022 2020 Conference papers 2025 2024 2023 2022 2021 2020 Book Chapters 2020","_links":{"self":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages\/735","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/comments?post=735"}],"version-history":[{"count":53,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages\/735\/revisions"}],"predecessor-version":[{"id":1676,"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/pages\/735\/revisions\/1676"}],"wp:attachment":[{"href":"https:\/\/prg.inf.unibe.ch\/index.php\/wp-json\/wp\/v2\/media?parent=735"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}