Ladislav Peska

118 papers A* 4A 15B 10C 6Journal 26Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Efficient Learning of Sparse Representations from Interactions. WWW Vojtech Vancura, Martin Spisák, Rodrigo Alves, Ladislav Peska
2026	J	`jnl`	Efficient Learning of Sparse Representations from Interactions. CoRR Vojtech Vancura, Martin Spisák, Rodrigo Alves, Ladislav Peska
2026	J	`jnl`	From Knots to Knobs: Towards Steerable Collaborative Filtering Using Sparse Autoencoders. CoRR Martin Spisák, Ladislav Peska, Petr Skoda, Vojtech Vancura, Rodrigo Alves
2026	J	`jnl`	Long-term fairness in sequential group recommendations. Knowl. Inf. Syst. Patrik Dokoupil, Ladislav Peska
2026	—	`ed.`	MultiMedia Modeling - 32nd International Conference on Multimedia Modeling, MMM 2026, Prague, Czech Republic, January 29-31, 2026, Proceedings, Part I MMM (1) Jakub Lokoc, Ladislav Peska, Jan Zahálka, Stevan Rudinac, Marc A. Kastner, Jingjing Chen, Min-Chun Hu, Jiaxin Wu, Ujjwal Sharma
2026	—	`ed.`	MultiMedia Modeling - 32nd International Conference on Multimedia Modeling, MMM 2026, Prague, Czech Republic, January 29-31, 2026, Proceedings, Part II MMM (2) Jakub Lokoc, Ladislav Peska, Jan Zahálka, Stevan Rudinac, Marc A. Kastner, Jingjing Chen, Min-Chun Hu, Jiaxin Wu, Ujjwal Sharma
2026	—	`ed.`	MultiMedia Modeling - 32nd International Conference on Multimedia Modeling, MMM 2026, Prague, Czech Republic, January 29-31, 2026, Proceedings, Part IV MMM (4) Jakub Lokoc, Ladislav Peska, Jan Zahálka, Stevan Rudinac, Marc A. Kastner, Jingjing Chen, Min-Chun Hu, Jiaxin Wu, Ujjwal Sharma
2026	J	`jnl`	SM-RS 2.0: User-perceived Qualities of Single- and Multi-Objective Recommender Systems. Trans. Recomm. Syst. Patrik Dokoupil, Ladislav Peska
2025	J	`jnl`	Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems. Inf. Process. Manag. Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2025	—	`conf`	Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research. UMAP (Adjunct Publication) Ladislav Peska, Amra Delic, Francesco Barile, Patrik Dokoupil
2025	A	`conf`	Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems. UMAP Patrik Dokoupil, Ladislav Peska
2025	J	`jnl`	Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections. CoRR Bastian Jäckl, Jirí Kruchina, Lucas Joos, Daniel A. Keim, Ladislav Peska, Jakub Lokoc
2025	—	`conf`	GMAP 2025: 4th Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Cedric Waterschoot
2025	A	`conf`	How Do Users Perceive Recommender Systems' Objectives? RecSys Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2025	—	`conf`	It's Time to Let Go: Stopping Criteria Recommendations in Content-rich Domains. UMAP (Adjunct Publication) Matej Scerba, Ladislav Peska
2025	A	`conf`	SAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations. RecSys Vit Kostejn, Ladislav Peska, Martin Spisák
2025	J	`jnl`	Unified Visual-Aware Representations for Data Analytics. IEEE Access Ladislav Peska, Ivaná Sixtova, David Hoksza, David Bernhauer, Jakub Lokoc, Tomás Skopal
2025	B	`conf`	VISAnt: Unsupervised Data Exploration with Chernoff Faces. SISAP Ivaná Sixtova, Ladislav Peska, Jakub Lokoc, David Bernhauer, Tomás Skopal
2024	—	`conf`	Comparing User Interfaces for Customizing Multi-Objective Recommender Systems. IntRS@RecSys Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2024	J	`jnl`	Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition. IEEE Access Lucia Vadicamo, Rahel Arnold, Werner Bailer, Fabio Carrara, Cathal Gurrin, Nico Hezel, Xinghan Li, Jakub Lokoc, Sebastian Lubos, Zhixin Ma, Nicola Messina, Thao-Nhu Nguyen, Ladislav Peska, Luca Rossetto, Loris Sauter, Klaus Schöffmann, Florian Spiess, Minh-Triet Tran, Stefanos Vrochidis
2024	—	`conf`	GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Federica Lucia Vinella
2024	J	`jnl`	Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition. Int. J. Multim. Inf. Retr. Konstantin Schall, Werner Bailer, Kai Uwe Barthel, Fabio Carrara, Jakub Lokoc, Ladislav Peska, Klaus Schoeffmann, Lucia Vadicamo, Claudio Vairo
2024	B	`conf`	Known-Item Search in Video: An Eye Tracking-Based Study. ICMR Lucas Joos, Bastian Jäckl, Daniel A. Keim, Maximilian T. Fischer, Ladislav Peska, Jakub Lokoc
2024	A	`conf`	On Interpretability of Linear Autoencoders. RecSys Martin Spisák, Radek Bartyzal, Antonín Hoskovec, Ladislav Peska
2024	J	`jnl`	Personalisation of d'Hondt's algorithm and its use in recommender ecosystems. CoRR Stepán Balcar, Ladislav Peska, Peter Vojtás
2024	—	`conf`	RESET: Relational Similarity Extension for V3C1 Video Dataset. MMM (5) Patrik Veselý, Ladislav Peska
2024	A*	`conf`	SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. SIGIR Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2024	A	`conf`	User Perceptions of Diversity in Recommender Systems. UMAP Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2024	J	`jnl`	Visualizations for universal deep-feature representations: survey and taxonomy. Knowl. Inf. Syst. Tomás Skopal, Ladislav Peska, David Hoksza, Ivaná Sixtova, David Bernhauer
2023	—	`conf`	A Study of a Cross-modal Interactive Search Tool Using CLIP and Temporal Fusion. MMM (1) Jakub Lokoc, Ladislav Peska
2023	J	`jnl`	Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021. IEEE Access Ly-Duyen Tran, Manh-Duy Nguyen, Duc-Tien Dang-Nguyen, Silvan Heller, Florian Spiess, Jakub Lokoc, Ladislav Peska, Thao-Nhu Nguyen, Omar Shahbaz Khan, Aaron Duane, Björn Þór Jónsson, Luca Rossetto, An-Zi Yen, Ahmed Alateeq, Naushad Alam, Minh-Triet Tran, Graham Healy, Klaus Schoeffmann, Cathal Gurrin
2023	A	`conf`	EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems. RecSys Patrik Dokoupil, Ladislav Peska
2023	J	`jnl`	Evaluating a Bayesian-like relevance feedback model with text-to-image search initialization. Multim. Tools Appl. Ladislav Peska, Marta Vomlelová, Patrik Veselý, Vít Skrhák, Jakub Lokoc
2023	—	`conf`	GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Onuralp Ulusoy, Federica Lucia Vinella
2023	J	`jnl`	Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multim. Syst. Jakub Lokoc, Stelios Andreadis, Werner Bailer, Aaron Duane, Cathal Gurrin, Zhixin Ma, Nicola Messina, Thao-Nhu Nguyen, Ladislav Peska, Luca Rossetto, Loris Sauter, Konstantin Schall, Klaus Schoeffmann, Omar Shahbaz Khan, Florian Spiess, Lucia Vadicamo, Stefanos Vrochidis
2023	—	`conf`	Less Is More: Similarity Models for Content-Based Video Retrieval. MMM (2) Patrik Veselý, Ladislav Peska
2023	A	`conf`	Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. RecSys Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023	J	`jnl`	Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. CoRR Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023	A	`conf`	ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. RecSys João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
2023	—	`ed.`	Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. ORSUM@RecSys João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
2023	A*	`conf`	Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. SIGIR Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023	A	`conf`	Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering. RecSys Martin Spisák, Radek Bartyzal, Antonín Hoskovec, Ladislav Peska, Miroslav Tuma
2023	—	`conf`	SpotifyExplained: User-centric Mobile Application for Music Exploration. UMAP (Adjunct Publication) Richard Savcinsky, Ladislav Peska
2023	—	`conf`	The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems. UMAP (Adjunct Publication) Patrik Dokoupil, Ladislav Peska
2023	—	`conf`	Video Search with CLIP and Interactive Text Query Reformulation. MMM (1) Jakub Lokoc, Zuzana Vopálková, Patrik Dokoupil, Ladislav Peska
2023	—	`conf`	Visual Representations for Data Analytics: User Study. CHIRA (2) Ladislav Peska, Ivaná Sixtova, David Hoksza, David Bernhauer, Tomás Skopal
2022	—	`conf`	A Task Category Space for User-Centric Comparative Multimedia Search Evaluations. MMM (1) Jakub Lokoc, Werner Bailer, Kai Uwe Barthel, Cathal Gurrin, Silvan Heller, Björn Þór Jónsson, Ladislav Peska, Luca Rossetto, Klaus Schoeffmann, Lucia Vadicamo, Stefanos Vrochidis, Jiaxin Wu
2022	—	`conf`	Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations. ICCAI Stepán Balcar, Ladislav Peska, Peter Vojtás
2022	J	`jnl`	Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown. Int. J. Multim. Inf. Retr. Silvan Heller, Viktor Gsteiger, Werner Bailer, Cathal Gurrin, Björn Þór Jónsson, Jakub Lokoc, Andreas Leibetseder, Frantisek Mejzlík, Ladislav Peska, Luca Rossetto, Konstantin Schall, Klaus Schoeffmann, Heiko Schuldt, Florian Spiess, Ly-Duyen Tran, Lucia Vadicamo, Patrik Veselý, Stefanos Vrochidis, Jiaxin Wu
2022	A	`conf`	ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. RecSys João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
2022	—	`conf`	Person Authentication using Visual Representations of Keyboard Typing Dynamics. SNAMS Ladislav Peska, Patrik Veselý, Tomás Skopal, Krisztián Búza
2022	—	`ed.`	Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, ORSUM@RecSys 2022, Seattle, WA, USA, September 23rd, 2022. ORSUM@RecSys João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
2022	J	`jnl`	Rank-sensitive proportional aggregations in dynamic recommendation scenarios. User Model. User Adapt. Interact. Stepán Balcar, Vít Skrhák, Ladislav Peska
2022	—	`conf`	Rating-Aware Self-Organizing Maps. MMM (1) Ladislav Peska, Jakub Lokoc
2022	—	`conf`	Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation. UMAP (Adjunct Publication) Patrik Dokoupil, Ladislav Peska
2022	A	`conf`	The Effect of Feedback Granularity on Recommender Systems Performance. RecSys Ladislav Peska, Stepán Balcar
2022	A*	`conf`	Towards Results-level Proportionality for Multi-objective Recommender Systems. SIGIR Ladislav Peska, Patrik Dokoupil
2022	A	`conf`	Tutorial on Offline Evaluation for Group Recommender Systems. RecSys Francesco Barile, Amra Delic, Ladislav Peska
2022	—	`conf`	Video Search with Context-Aware Ranker and Relevance Feedback. MMM (2) Jakub Lokoc, Frantisek Mejzlík, Tomás Soucek, Patrik Dokoupil, Ladislav Peska
2021	—	`conf`	Coupled or Decoupled Evaluation for Group Recommendation Methods? Perspectives@RecSys Ladislav Peska, Ladislav Malecek
2021	—	`conf`	Fairness-preserving Group Recommendations With User Weighting. UMAP (Adjunct Publication) Ladislav Malecek, Ladislav Peska
2021	—	`conf`	LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper). KaRS/ComplexRec@RecSys Patrik Dokoupil, Ladislav Peska
2021	J	`jnl`	On augmenting database schemas by latent visual attributes. Knowl. Inf. Syst. Tomás Grosup, Ladislav Peska, Tomás Skopal
2021	J	`jnl`	On the User-Centric Comparative Remote Evaluation of Interactive Video Search Systems. IEEE Multim. Luca Rossetto, Ralph Gasser, Silvan Heller, Mahnaz Parian-Scherb, Loris Sauter, Florian Spiess, Heiko Schuldt, Ladislav Peska, Tomás Soucek, Miroslav Kratochvíl, Frantisek Mejzlík, Patrik Veselý, Jakub Lokoc
2021	—	`conf`	SpotifyGraph: Visualisation of User's Preferences in Music. MMM (2) Pavel Gajdusek, Ladislav Peska
2021	—	`conf`	W2VV++ BERT Model at VBS 2021. MMM (2) Ladislav Peska, Gregor Kovalcík, Tomás Soucek, Vít Skrhák, Jakub Lokoc
2020	—	`conf`	Lyrics or Audio for Music Recommendation? WIMS Michaela Vystrcilová, Ladislav Peska
2020	—	`conf`	Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. HT Ladislav Peska, Peter Vojtás
2020	C	`conf`	Personalized Implicit Negative Feedback Enhancements for Fuzzy D'Hondt's Recommendation Aggregations. iiWAS Stepán Balcar, Ladislav Peska
2020	B	`conf`	Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators. FUZZ-IEEE Ladislav Peska, Peter Vojtás
2020	C	`conf`	SmartRecepies: Towards Cooking and Food Shopping Integration via Mobile Recipes Recommender System. iiWAS Josef Starychfojtu, Ladislav Peska
2020	B	`conf`	Towards Evaluating and Simulating Keyword Queries for Development of Interactive Known-item Search Systems. ICMR Ladislav Peska, Frantisek Mejzlík, Tomás Soucek, Jakub Lokoc
2019	—	`conf`	Advanced Behavioral Analyses Using Inferred Social Networks: A Vision. DEXA Workshops Irena Holubová, Martin Svoboda, Tomás Skopal, David Bernhauer, Ladislav Peska
2019	—	`conf`	Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation. ORSUM@RecSys Ladislav Peska, Stepán Balcar
2019	—	`conf`	LODBookRec: Linked Open Data for Books Recommendation. WIMS Ladislav Malecek, Stepán Balcar, Ladislav Peska
2019	—	`conf`	LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling. DEXA Workshops Ladislav Peska, Hana Trojanová
2019	A	`conf`	SIMILANT: An Analytic Tool for Similarity Modeling. CIKM David Bernhauer, Tomás Skopal, Irena Holubová, Ladislav Peska, Martin Svoboda
2019	J	`jnl`	Swarm intelligence techniques in recommender systems - A review of recent research. Swarm Evol. Comput. Ladislav Peska, Tsegaye Misikir Tashu, Tomás Horváth
2019	B	`conf`	Towards Augmented Database Schemes by Discovery of Latent Visual Attributes. EDBT Tomás Grosup, Ladislav Peska, Tomás Skopal
2019	B	`conf`	Towards Automatic Configuration of Interactive Known-Item Search Systems. SISAP Ladislav Peska, Gregor Kovalcík, Jakub Lokoc
2019	—	`conf`	VIRET tool keyword search at TRECVID 2019 AVS task. TRECVID Jakub Lokoc, Tomás Soucek, Frantisek Mejzlík, Ladislav Peska
2018	B	`conf`	Advanced Analytics of Large Connected Data Based on Similarity Modeling. SISAP Tomás Skopal, Ladislav Peska, Irena Holubová, Petr Pascenko, Jan Hucín
2018	J	`jnl`	Hybrid recommendations by content-aligned Bayesian personalized ranking. New Rev. Hypermedia Multim. Ladislav Peska
2018	B	`conf`	Interactive Product Search Based on Global and Local Visual-Semantic Features. SISAP Tomás Skopal, Ladislav Peska, Tomás Grosup
2018	J	`jnl`	Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. CoRR Ladislav Peska, Peter Vojtás
2018	—	`conf`	Personalized Recommendations in Police Photo Lineup Assembling Task. ITAT Ladislav Peska, Hana Trojanova
2018	B	`conf`	Towards Similarity Models in Police Photo Lineup Assembling Tasks. SISAP Ladislav Peska, Hana Trojanova
2017	—	`conf`	ALADIN: A New Approach for Drug-Target Interaction Prediction. ECML/PKDD (2) Krisztián Búza, Ladislav Peska
2017	J	`jnl`	Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression. Neurocomputing Krisztián Búza, Ladislav Peska
2017	J	`jnl`	Drug-target interaction prediction: A Bayesian ranking approach. Comput. Methods Programs Biomed. Ladislav Peska, Krisztián Búza, Júlia Koller
2017	—	`conf`	Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments. HT Ladislav Peska
2017	—	`conf`	Multimodal Implicit Feedback for Recommender Systems. ITAT Ladislav Peska
2017	A	`conf`	Product Exploration based on Latent Visual Attributes. CIKM Tomás Skopal, Ladislav Peska, Gregor Kovalcík, Tomás Grosup, Jakub Lokoc
2017	—	`conf`	Towards Complex User Feedback and Presentation Context in Recommender Systems. BTW (Workshops) Ladislav Peska, Peter Vojtás
2017	—	`conf`	Towards Recommender Systems for Police Photo Lineup. DLRS@RecSys Ladislav Peska, Hana Trojanova
2017	J	`jnl`	Towards Recommender Systems for Police Photo Lineup. CoRR Ladislav Peska, Hana Trojanova
2017	J	`jnl`	Using Implicit Preference Relations to Improve Recommender Systems. J. Data Semant. Ladislav Peska, Peter Vojtás
2016	—	`conf`	A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza
2016	—	`conf`	Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza
2016	—	`conf`	Using the Context of User Feedback in Recommender Systems. MEMICS Ladislav Peska
2015	—	`conf`	Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity. DATESO Ladislav Peska, Peter Vojtás
2015	—	`conf`	How to Interpret Implicit User Feedback? RecSys Posters Ladislav Peska, Peter Vojtás
2015	C	`conf`	Monotonization of User Preferences. FQAS Michal Kopecky, Ladislav Peska, Peter Vojtás, Marta Vomlelová
2015	—	`conf`	Using Implicit Preference Relations to Improve Content Based Recommending. EC-Web Ladislav Peska, Peter Vojtás
2015	—	`conf`	Using Linked Open Data in Recommender Systems. WIMS Ladislav Peska, Peter Vojtás
2014	—	`conf`	Hybrid Recommending Exploiting Multiple DBPedia Language Editions. SemWebEval@ESWC Ladislav Peska, Peter Vojtás
2014	—	`conf`	Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning. RuleML Ladislav Peska, Peter Vojtás
2014	—	`conf`	Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations. EC-Web Ladislav Peska, Peter Vojtás
2014	B	`conf`	Recommending for Disloyal Customers with Low Consumption Rate. SOFSEM Ladislav Peska, Peter Vojtás
2014	—	`conf`	e-Shop User Preferences via User Behavior. ICE-B Peter Vojtás, Ladislav Peska
2013	C	`conf`	Enhancing Recommender System with Linked Open Data. FQAS Ladislav Peska, Peter Vojtás
2013	—	`conf`	Negative implicit feedback in e-commerce recommender systems. WIMS Ladislav Peska, Peter Vojtás
2012	—	`conf`	Estimating importance of implicit factors in e-commerce recommender systems. WIMS Ladislav Peska, Peter Vojtás
2012	—	`conf`	Evaluating the Importance of Various Implicit Factors in E-commerce. RUE@RecSys Ladislav Peska, Peter Vojtás
2012	C	`conf`	Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC Michal Kopecky, Jaroslav Pokorný, Peter Vojtás, Jirí Kubalík, Kamil Matousek, Milos Maryska, Ota Novotný, Ladislav Peska
2012	C	`conf`	Towards web semantization and user understanding. EJC Ladislav Peska, Ivo Lasek, Alan Eckhardt, Jan Dedek, Peter Vojtás, Dominik Fiser
2012	A	`conf`	User Feedback and Preferences Mining. UMAP Ladislav Peska
2011	—	`conf`	UPComp - A PHP Component for Recommendation Based on User Behaviour. Web Intelligence/IAT Workshops Ladislav Peska, Alan Eckhardt, Peter Vojtás