Kaspar Riesen - RankMe

138 papers A* 2A 5B 11C 10Journal 38Unranked 67

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing language models with boosting and targeted fine-tuning for real-word error detection. Nat. Lang. Process. J. Corina Masanti, Hans-Friedrich Witschel, Kaspar Riesen
2026	J	`jnl`	MARA: Continuous SE(3)-Equivariant Attention for Molecular Force Fields. CoRR Francesco Leonardi, Boris Bonev, Kaspar Riesen
2025	—	`conf`	A Geometric Perspective on Graph Similarity Learning Using Convex Hulls. GbRPR Kalvin Dobler, Kaspar Riesen
2025	—	`conf`	Approximating Graph Edit Distance via Differentiable Birkhoff Decompositions. ACPR (2) Kalvin Dobler, Kaspar Riesen
2025	C	`conf`	Boosting Language Models for Real-Word Error Detection. ICPRAM Corina Masanti, Hans-Friedrich Witschel, Kaspar Riesen
2025	A	`conf`	Comparison of PV Power Prediction Techniques: From Regression to LSTM Models. ICCAD Fereshteh Jafari, Joseph Moerschell, Kaspar Riesen
2025	—	`conf`	Exploring a Graph Regression Problem in River Networks. GbRPR Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
2025	J	`jnl`	Fast approximate maximum common subgraph computation. Pattern Recognit. Lett. Mathias Fuchs, Kaspar Riesen
2025	J	`jnl`	GEDAN: Learning the Edit Costs for Graph Edit Distance. CoRR Francesco Leonardi, Markus Orsi, Jean-Louis Reymond, Kaspar Riesen
2025	J	`jnl`	Normalized graph compression distance - A novel graph matching framework. Pattern Recognit. Lett. Anthony Gillioz, Kaspar Riesen
2025	C	`conf`	Predicting Photovoltaic Power Output Using LSTM: A Comparative Study Using both Historical and Climate Data. ICPRAM Fereshteh Jafari, Joseph Moerschell, Kaspar Riesen
2024	—	`conf`	Automated Error Detection Through Specialized Task Implementation. ICPRAI (2) Corina Masanti, Hans Friedrich Witschel, Kaspar Riesen
2024	—	`conf`	Clustering Time Series Data for Personalized Type 1 Diabetes Management. ICPRAI (2) Aylin Tastan, Clara Escorihuela-Altaba, Jose F. Garcia-Tirado, Kaspar Riesen
2024	—	`conf`	Comparing Learning Methods to Enhance Decision-Making in Simulated Curling. S+SSPR Michael Brunner, Kaspar Riesen
2024	—	`conf`	Dissimilarity-Based Graph Embedding: An Efficient GAT-based Approach. ICPR (10) Francesco Leonardi, Kaspar Riesen
2024	C	`conf`	Impute Water Temperature in the Swiss River Network Using LSTMs. ICPRAM Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
2024	—	`conf`	LSTM Networks and Graph Neural Networks for Predicting Events of Hypoglycemia. S+SSPR Fabian Hüni, Jose F. Garcia-Tirado, Kaspar Riesen
2024	—	`conf`	Learning Graph Matching with Graph Neural Networks. ANNPR Kalvin Dobler, Kaspar Riesen
2024	—	`conf`	Learning Graph Similarity by Counting Holes in Simplicial Complexes. S+SSPR Kalvin Dobler, Kaspar Riesen
2024	—	`conf`	Leveraging LSTM Embeddings for River Water Temperature Modeling. ANNPR Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
2024	—	`conf`	Neural Decompiling of Tracr Transformers. ANNPR Hannes Thurnherr, Kaspar Riesen
2024	J	`jnl`	Neural Decompiling of Tracr Transformers. CoRR Hannes Thurnherr, Kaspar Riesen
2024	—	`conf`	Spatio-Temporal Graph Neural Networks for Water Temperature Modeling. S+SSPR Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
2023	—	`conf`	Bridging Distinct Spaces in Graph-Based Machine Learning. ACPR (2) Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen
2023	J	`jnl`	Building Multiple Classifier Systems Using Linear Combinations of Reduced Graphs. SN Comput. Sci. Anthony Gillioz, Kaspar Riesen
2023	—	`conf`	Graph-Based Deep Learning on the Swiss River Network. GbRPR Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
2023	—	`conf`	Graph-Based vs. Vector-Based Classification: A Fair Comparison. GbRPR Anthony Gillioz, Kaspar Riesen
2023	J	`jnl`	Graph-based pattern recognition on spectral reduced graphs. Pattern Recognit. Anthony Gillioz, Kaspar Riesen
2023	—	`conf`	Matching-Graphs for Building Classification Ensembles. GbRPR Mathias Fuchs, Kaspar Riesen
2023	C	`conf`	Novel Benchmark Data Set for Automatic Error Detection and Correction. NLDB Corina Masanti, Hans Friedrich Witschel, Kaspar Riesen
2023	C	`conf`	Two-Step Graph Classification on the Basis of Hierarchical Graphs. ICPRAM Anthony Gillioz, Kaspar Riesen
2022	J	`jnl`	A novel way to formalize stable graph cores by using matching-graphs. Pattern Recognit. Mathias Fuchs, Kaspar Riesen
2022	—	`conf`	Augment Small Training Sets Using Matching-Graphs. ICPRAI (2) Mathias Fuchs, Kaspar Riesen
2022	—	`conf`	Graph Augmentation for Neural Networks Using Matching-Graphs. ANNPR Mathias Fuchs, Kaspar Riesen
2022	—	`conf`	Graph Reduction Neural Networks for Structural Pattern Recognition. S+SSPR Anthony Gillioz, Kaspar Riesen
2022	C	`conf`	Improving Graph Classification by Means of Linear Combinations of Reduced Graphs. ICPRAM Anthony Gillioz, Kaspar Riesen
2021	B	`conf`	Graph Embedding in Vector Spaces Using Matching-Graphs. SISAP Mathias Fuchs, Kaspar Riesen
2021	C	`conf`	Iterative Creation of Matching-Graphs - Finding Relevant Substructures in Graph Sets. CIARP Mathias Fuchs, Kaspar Riesen
2021	—	`conf`	Natural Language-based User Guidance for Knowledge Graph Exploration: A User Study. KDIR Hans Friedrich Witschel, Kaspar Riesen, Loris Grether
2020	—	`conf`	A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching. S+SSPR Kaspar Riesen, Hans Friedrich Witschel, Loris Grether
2020	J	`jnl`	Approximate Graph Edit Distance in Quadratic Time. IEEE ACM Trans. Comput. Biol. Bioinform. Kaspar Riesen, Miquel Ferrer, Horst Bunke
2020	J	`jnl`	Filters for graph-based keyword spotting in historical handwritten documents. Pattern Recognit. Lett. Michael Stauffer, Andreas Fischer, Kaspar Riesen
2020	—	`conf`	KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources. ECIR (1) Hans Friedrich Witschel, Kaspar Riesen, Loris Grether
2020	B	`conf`	Matching of Matching-Graphs - A Novel Approach for Graph Classification. ICPR Mathias Fuchs, Kaspar Riesen
2019	J	`jnl`	A comparative study of pattern recognition algorithms for predicting the inpatient mortality risk using routine laboratory measurements. Artif. Intell. Rev. Narayan Schütz, Alexander B. Leichtle, Kaspar Riesen
2019	J	`jnl`	Combining graph edit distance and triplet networks for offline signature verification. Pattern Recognit. Lett. Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
2019	—	`conf`	Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents. GbRPR Michael Stauffer, Paul Maergner, Andreas Fischer, Kaspar Riesen
2019	—	`conf`	Graph Embedding for Offline Handwritten Signature Verification. ICBEA Michael Stauffer, Paul Maergner, Andreas Fischer, Kaspar Riesen
2019	—	`book`	Graph-Based Keyword Spotting Michael Stauffer, Andreas Fischer, Kaspar Riesen
2019	J	`jnl`	Graph-Based Offline Signature Verification. CoRR Paul Maergner, Nicholas R. Howe, Kaspar Riesen, Rolf Ingold, Andreas Fischer
2019	J	`jnl`	Graph-based keyword spotting in historical manuscripts using Hausdorff edit distance. Pattern Recognit. Lett. Mohammad Reza Ameri, Michael Stauffer, Kaspar Riesen, Tien D. Bui, Andreas Fischer
2019	A	`conf`	Offline Signature Verification using Structural Dynamic Time Warping. ICDAR Michael Stauffer, Paul Maergner, Andreas Fischer, Rolf Ingold, Kaspar Riesen
2019	J	`jnl`	Online signature verification based on string edit distance. Int. J. Document Anal. Recognit. Kaspar Riesen, Roman Schmidt
2018	B	`conf`	Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance. DAS Michael Stauffer, Andreas Fischer, Kaspar Riesen
2018	J	`jnl`	Keyword spotting in historical handwritten documents based on graph matching. Pattern Recognit. Michael Stauffer, Andreas Fischer, Kaspar Riesen
2018	B	`conf`	Offline Signature Verification Via Structural Methods: Graph Edit Distance and Inkball Models. ICFHR Paul Maergner, Nicholas R. Howe, Kaspar Riesen, Rolf Ingold, Andreas Fischer
2018	—	`conf`	Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. S+SSPR Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
2018	J	`jnl`	Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. CoRR Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
2018	J	`jnl`	On the Impact of Using Utilities Rather than Costs for Graph Matching. Neural Process. Lett. Kaspar Riesen, Andreas Fischer, Horst Bunke
2018	J	`jnl`	Sketch-Based User Authentication With a Novel String Edit Distance Model. IEEE Trans. Syst. Man Cybern. Syst. Kaspar Riesen, Thomas Hanne, Roman Schmidt
2017	A	`conf`	A Structural Approach to Offline Signature Verification Using Graph Edit Distance. ICDAR Paul Maergner, Kaspar Riesen, Rolf Ingold, Andreas Fischer
2017	—	`conf`	A Survey on Applications of Bipartite Graph Edit Distance. GbRPR Michael Stauffer, Thomas Tschachtli, Andreas Fischer, Kaspar Riesen
2017	J	`jnl`	Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes. Pattern Recognit. Brian Kenji Iwana, Volkmar Frinken, Kaspar Riesen, Seiichi Uchida
2017	A	`conf`	Ensembles for Graph-Based Keyword Spotting in Historical Handwritten Documents. ICDAR Michael Stauffer, Andreas Fischer, Kaspar Riesen
2017	—	`conf`	Improved Graph Edit Distance Approximation with Simulated Annealing. GbRPR Kaspar Riesen, Andreas Fischer, Horst Bunke
2017	J	`jnl`	Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment. Pattern Recognit. Lett. Andreas Fischer, Kaspar Riesen, Horst Bunke
2017	—	`conf`	Speeding-Up Graph-Based Keyword Spotting by Quadtree Segmentations. CAIP (1) Michael Stauffer, Andreas Fischer, Kaspar Riesen
2017	—	`conf`	Speeding-Up Graph-Based Keyword Spotting in Historical Handwritten Documents. GbRPR Michael Stauffer, Andreas Fischer, Kaspar Riesen
2016	—	`conf`	A Novel Graph Database for Handwritten Word Images. S+SSPR Michael Stauffer, Andreas Fischer, Kaspar Riesen
2016	—	`conf`	Approximation of Graph Edit Distance by Means of a Utility Matrix. ANNPR Kaspar Riesen, Andreas Fischer, Horst Bunke
2016	—	`ch.`	Graph Edit Distance - Novel Approximation Algorithms. Handbook of Pattern Recognition and Computer Vision Kaspar Riesen, Horst Bunke
2016	—	`conf`	Graph-Based Keyword Spotting in Historical Handwritten Documents. S+SSPR Michael Stauffer, Andreas Fischer, Kaspar Riesen
2016	—	`conf`	On the Relevance of Local Neighbourhoods for Greedy Graph Edit Distance. S+SSPR Xavier Cortés, Francesc Serratosa, Kaspar Riesen
2016	J	`jnl`	Predicting the correctness of node assignments in bipartite graph matching. Pattern Recognit. Lett. Kaspar Riesen, Miquel Ferrer
2015	—	`conf`	A First Step Towards Exact Graph Edit Distance Using Bipartite Graph Matching. GbRPR Miquel Ferrer, Francesc Serratosa, Kaspar Riesen
2015	—	`conf`	Approximation of Graph Edit Distance in Quadratic Time. GbRPR Kaspar Riesen, Miquel Ferrer, Andreas Fischer, Horst Bunke
2015	J	`jnl`	Approximation of graph edit distance based on Hausdorff matching. Pattern Recognit. Andreas Fischer, Ching Y. Suen, Volkmar Frinken, Kaspar Riesen, Horst Bunke
2015	—	`conf`	Building Classifier Ensembles Using Greedy Graph Edit Distance. MCS Kaspar Riesen, Miquel Ferrer, Andreas Fischer
2015	J	`jnl`	Estimating Graph Edit Distance Using Lower and Upper Bounds of Bipartite Approximations. Int. J. Pattern Recognit. Artif. Intell. Kaspar Riesen, Andreas Fischer, Horst Bunke
2015	—	`conf`	Greedy Graph Edit Distance. MLDM Kaspar Riesen, Miquel Ferrer, Rolf Dornberger, Horst Bunke
2015	A*	`conf`	How to Support Customer Segmentation with Useful Cluster Descriptions. ICDM Hans Friedrich Witschel, Simon Loo, Kaspar Riesen
2015	—	`conf`	Improving Hausdorff Edit Distance Using Structural Node Context. GbRPR Andreas Fischer, Seiichi Uchida, Volkmar Frinken, Kaspar Riesen, Horst Bunke
2015	J	`jnl`	Improving bipartite graph edit distance approximation using various search strategies. Pattern Recognit. Kaspar Riesen, Horst Bunke
2015	J	`jnl`	Improving bipartite graph matching by assessing the assignment confidence. Pattern Recognit. Lett. Miquel Ferrer, Francesc Serratosa, Kaspar Riesen
2015	—	`conf`	Learning Heuristics to Reduce the Overestimation of Bipartite Graph Edit Distance Approximation. MLDM Miquel Ferrer, Francesc Serratosa, Kaspar Riesen
2015	—	`book`	Structural Pattern Recognition with Graph Edit Distance - Approximation Algorithms and Applications Kaspar Riesen
2015	—	`conf`	Suboptimal Graph Edit Distance Based on Sorted Local Assignments. MCS Kaspar Riesen, Miquel Ferrer, Horst Bunke
2015	A	`conf`	Tackling temporal pattern recognition by vector space embedding. ICDAR Brian Kenji Iwana, Seiichi Uchida, Kaspar Riesen, Volkmar Frinken
2014	—	`conf`	A Hausdorff Heuristic for Efficient Computation of Graph Edit Distance. S+SSPR Andreas Fischer, Réjean Plamondon, Yvon Savaria, Kaspar Riesen, Horst Bunke
2014	—	`conf`	Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks. S+SSPR Benoit Gaüzère, Sébastien Bougleux, Kaspar Riesen, Luc Brun
2014	—	`conf`	Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation. ANNPR Kaspar Riesen, Andreas Fischer, Horst Bunke
2014	—	`conf`	Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time. ANNPR Kaspar Riesen, Andreas Fischer, Horst Bunke
2014	—	`conf`	Graph Based Keyword Spotting in Medieval Slavic Documents - A Project Outline. EuroMed Kaspar Riesen, Darko Brodic, Zoran N. Milivojevic, Cedomir A. Maluckov
2014	—	`conf`	Improving Approximate Graph Edit Distance Using Genetic Algorithms. S+SSPR Kaspar Riesen, Andreas Fischer, Horst Bunke
2014	C	`conf`	Improving Approximate Graph Edit Distance by Means of a Greedy Swap Strategy. ICISP Kaspar Riesen, Horst Bunke
2014	B	`conf`	Improving Graph Edit Distance Approximation by Centrality Measures. ICPR Kaspar Riesen, Horst Bunke, Andreas Fischer
2014	B	`conf`	Iterative Bipartite Graph Edit Distance Approximation. Document Analysis Systems Kaspar Riesen, Rolf Dornberger, Horst Bunke
2013	—	`conf`	A Fast Matching Algorithm for Graph-Based Handwriting Recognition. GbRPR Andreas Fischer, Ching Y. Suen, Volkmar Frinken, Kaspar Riesen, Horst Bunke
2013	—	`conf`	A Novel Software Toolkit for Graph Edit Distance Computation. GbRPR Kaspar Riesen, Sandro Emmenegger, Horst Bunke
2013	J	`jnl`	Discriminative prototype selection methods for graph embedding. Pattern Recognit. Ehsan Zare Borzeshi, Massimo Piccardi, Kaspar Riesen, Horst Bunke
2013	J	`jnl`	Graph Based Keyword Spotting in Handwritten Historical Slavic Documents. ERCIM News Kaspar Riesen, Darko Brodic
2012	J	`jnl`	Suboptimal Graph Isomorphism using bipartite Matching. Int. J. Pattern Recognit. Artif. Intell. Stefan Fankhauser, Kaspar Riesen, Horst Bunke, Peter J. Dickinson
2012	J	`jnl`	Towards the unification of structural and statistical pattern recognition. Pattern Recognit. Lett. Horst Bunke, Kaspar Riesen
2011	J	`jnl`	Improving vector space embedding of graphs through feature selection algorithms. Pattern Recognit. Horst Bunke, Kaspar Riesen
2011	J	`jnl`	Recent advances in graph-based pattern recognition with applications in document analysis. Pattern Recognit. Horst Bunke, Kaspar Riesen
2011	—	`conf`	Speeding Up Graph Edit Distance Computation through Fast Bipartite Matching. GbRPR Stefan Fankhauser, Kaspar Riesen, Horst Bunke
2010	—	`ch.`	Exact and Inexact Graph Matching: Methodology and Applications. Managing and Mining Graph Data Kaspar Riesen, Xiaoyi Jiang, Horst Bunke
2010	J	`jnl`	Generalized median graph computation by means of graph embedding in vector spaces. Pattern Recognit. Miquel Ferrer, Ernest Valveny, Francesc Serratosa, Kaspar Riesen, Horst Bunke
2010	—	`book`	Graph Classification and Clustering Based on Vector Space Embedding Kaspar Riesen, Horst Bunke
2010	B	`conf`	Graph Similarity Features for HMM-Based Handwriting Recognition in Historical Documents. ICFHR Andreas Fischer, Kaspar Riesen, Horst Bunke
2010	B	`conf`	Vector Space Embedding of Undirected Graphs with Fixed-cardinality Vertex Sequences for Classification. ICPR Jonas Richiardi, Dimitri Van De Ville, Kaspar Riesen, Horst Bunke
2009	J	`jnl`	Approximate graph edit distance computation by means of bipartite graph matching. Image Vis. Comput. Kaspar Riesen, Horst Bunke
2009	—	`conf`	Cluster Ensembles Based on Vector Space Embeddings of Graphs. MCS Kaspar Riesen, Horst Bunke
2009	—	`conf`	Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes. MLDM Kaspar Riesen, Horst Bunke
2009	—	`conf`	Efficient Suboptimal Graph Isomorphism. GbRPR Kaspar Riesen, Stefan Fankhauser, Horst Bunke, Peter J. Dickinson
2009	C	`conf`	Feature Ranking Algorithms for Improving Classification of Vector Space Embedded Graphs. CAIP Kaspar Riesen, Horst Bunke
2009	J	`jnl`	Graph Classification Based on Vector Space Embedding. Int. J. Pattern Recognit. Artif. Intell. Kaspar Riesen, Horst Bunke
2009	J	`jnl`	Graph Classification by Means of Lipschitz Embedding. IEEE Trans. Syst. Man Cybern. Part B Kaspar Riesen, Horst Bunke
2009	—	`conf`	Improving Graph Classification by Isomap. GbRPR Kaspar Riesen, Volkmar Frinken, Horst Bunke
2009	J	`jnl`	Reducing the dimensionality of dissimilarity space embedding graph kernels. Eng. Appl. Artif. Intell. Kaspar Riesen, Horst Bunke
2008	B	`conf`	An approximate algorithm for median graph computation using graph embedding. ICPR Miquel Ferrer, Ernest Valveny, Francesc Serratosa, Kaspar Riesen, Horst Bunke
2008	B	`conf`	An experimental study of graph classification using prototype selection. ICPR Andreas Fischer, Kaspar Riesen, Horst Bunke
2008	A*	`conf`	Generalized Graph Matching for Data Mining and Information Retrieval. ICDM Alexandra Brügger, Horst Bunke, Peter J. Dickinson, Kaspar Riesen
2008	—	`conf`	Graph Classification Based on Dissimilarity Space Embedding. SSPR/SPR Horst Bunke, Kaspar Riesen
2008	—	`conf`	Graph Classification on Dissimilarity Space Embedding. SSPR/SPR Horst Bunke, Kaspar Riesen
2008	—	`conf`	IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning. SSPR/SPR Kaspar Riesen, Horst Bunke
2008	—	`conf`	Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs. ANNPR Kaspar Riesen, Horst Bunke
2008	—	`conf`	Non-linear Transformations of Vector Space Embedded Graphs. PRIS Kaspar Riesen, Horst Bunke
2008	—	`conf`	On Lipschitz Embeddings of Graphs. KES (1) Kaspar Riesen, Horst Bunke
2008	—	`conf`	Recent Developments in Graph Classification and Clustering using Graph Embedding Kernels. PRIS Horst Bunke, Kaspar Riesen
2007	C	`conf`	A Family of Novel Graph Kernels for Structural Pattern Recognition. CIARP Horst Bunke, Kaspar Riesen
2007	—	`conf`	Bipartite Graph Matching for Computing the Edit Distance of Graphs. GbRPR Kaspar Riesen, Michel Neuhaus, Horst Bunke
2007	—	`conf`	Classifier Ensembles for Vector Space Embedding of Graphs. MCS Kaspar Riesen, Horst Bunke
2007	—	`conf`	Graph Embedding in Vector Spaces by Means of Prototype Selection. GbRPR Kaspar Riesen, Michel Neuhaus, Horst Bunke
2007	—	`conf`	Reducing the Dimensionality of Vector Space Embeddings of Graphs. MLDM Kaspar Riesen, Vivian Kilchherr, Horst Bunke
2007	—	`conf`	Speeding Up Graph Edit Distance Computation with a Bipartite Heuristic. MLG Kaspar Riesen, Stefan Fankhauser, Horst Bunke
2007	B	`conf`	Structural Classifier Ensembles for Vector Space Embedded Graphs. IJCNN Kaspar Riesen, Horst Bunke
2006	—	`conf`	Fast Suboptimal Algorithms for the Computation of Graph Edit Distance. SSPR/SPR Michel Neuhaus, Kaspar Riesen, Horst Bunke