Skip to content

Ladislav Peska

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

46

Venues

13

Active years

2012–2026

Best venue rank

A*

Where they publish

Papers

46 indexed papers, newest first.

YearVenueTitleAuthors
2026WWWEfficient Learning of Sparse Representations from Interactions.Vojtech Vancura, Martin Spisk, Rodrigo Alves, Ladislav Peska
2025RecSysHow Do Users Perceive Recommender Systems' Objectives?Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
2025RecSysSAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations.Vit Kostejn, Ladislav Peska, Martin Spisk
2025SISAPVISAnt: Unsupervised Data Exploration with Chernoff Faces.Ivan Sixtova, Ladislav Peska, Jakub Lokoc, David Bernhauer, Toms Skopal
2024MMMRESET: Relational Similarity Extension for V3C1 Video Dataset.Patrik Vesel, Ladislav Peska
2024RecSysOn Interpretability of Linear Autoencoders.Martin Spisk, Radek Bartyzal, Antonn Hoskovec, Ladislav Peska
2024SIGIRSM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores.Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023CHIRAVisual Representations for Data Analytics: User Study.Ladislav Peska, Ivan Sixtova, David Hoksza, David Bernhauer, Toms Skopal
2023MMMA Study of a Cross-modal Interactive Search Tool Using CLIP and Temporal Fusion.Jakub Lokoc, Ladislav Peska
2023MMMVideo Search with CLIP and Interactive Text Query Reformulation.Jakub Lokoc, Zuzana Voplkov, Patrik Dokoupil, Ladislav Peska
2023MMMLess Is More: Similarity Models for Content-Based Video Retrieval.Patrik Vesel, Ladislav Peska
2023RecSysEasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems.Patrik Dokoupil, Ladislav Peska
2023RecSysLooks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations.Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2023RecSysScalable Approximate NonSymmetric Autoencoder for Collaborative Filtering.Martin Spisk, Radek Bartyzal, Antonn Hoskovec, Ladislav Peska, Miroslav Tuma
2023RecSysORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling.Joo Vinagre, Marie Al-Ghossein, Ladislav Peska, Alpio Mrio Jorge, Albert Bifet
2023SIGIRRows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems.Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
2022MMMA Task Category Space for User-Centric Comparative Multimedia Search Evaluations.Jakub Lokoc, Werner Bailer, Kai Uwe Barthel, Cathal Gurrin, Silvan Heller, Bjrn r Jnsson, Ladislav Peska, Luca Rossetto, Klaus Schoeffmann, Lucia Vadicamo, Stefanos Vrochidis, Jiaxin Wu
2022MMMVideo Search with Context-Aware Ranker and Relevance Feedback.Jakub Lokoc, Frantisek Mejzlk, Toms Soucek, Patrik Dokoupil, Ladislav Peska
2022MMMRating-Aware Self-Organizing Maps.Ladislav Peska, Jakub Lokoc
2022RecSysTutorial on Offline Evaluation for Group Recommender Systems.Francesco Barile, Amra Delic, Ladislav Peska
2022RecSysThe Effect of Feedback Granularity on Recommender Systems Performance.Ladislav Peska, Stepn Balcar
2022RecSysORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling.Joo Vinagre, Marie Al-Ghossein, Alpio Mrio Jorge, Albert Bifet, Ladislav Peska
2022SIGIRTowards Results-level Proportionality for Multi-objective Recommender Systems.Ladislav Peska, Patrik Dokoupil
2021MMMSpotifyGraph: Visualisation of User's Preferences in Music.Pavel Gajdusek, Ladislav Peska
2021MMMW2VV++ BERT Model at VBS 2021.Ladislav Peska, Gregor Kovalck, Toms Soucek, Vt Skrhk, Jakub Lokoc
2021RecSysLiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper).Patrik Dokoupil, Ladislav Peska
2021RecSysCoupled or Decoupled Evaluation for Group Recommendation Methods?Ladislav Peska, Ladislav Malecek
2020IIWASPersonalized Implicit Negative Feedback Enhancements for Fuzzy D'Hondt's Recommendation Aggregations.Stepn Balcar, Ladislav Peska
2020IIWASSmartRecepies: Towards Cooking and Food Shopping Integration via Mobile Recipes Recommender System.Josef Starychfojtu, Ladislav Peska
2019CIKMSIMILANT: An Analytic Tool for Similarity Modeling.David Bernhauer, Toms Skopal, Irena Holubov, Ladislav Peska, Martin Svoboda
2019EDBTTowards Augmented Database Schemes by Discovery of Latent Visual Attributes.Toms Grosup, Ladislav Peska, Toms Skopal
2019RecSysFuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation.Ladislav Peska, Stepn Balcar
2019SISAPTowards Automatic Configuration of Interactive Known-Item Search Systems.Ladislav Peska, Gregor Kovalck, Jakub Lokoc
2018SISAPTowards Similarity Models in Police Photo Lineup Assembling Tasks.Ladislav Peska, Hana Trojanova
2018SISAPInteractive Product Search Based on Global and Local Visual-Semantic Features.Toms Skopal, Ladislav Peska, Toms Grosup
2018SISAPAdvanced Analytics of Large Connected Data Based on Similarity Modeling.Toms Skopal, Ladislav Peska, Irena Holubov, Petr Pascenko, Jan Hucn
2017BTWTowards Complex User Feedback and Presentation Context in Recommender Systems.Ladislav Peska, Peter Vojts
2017CIKMProduct Exploration based on Latent Visual Attributes.Toms Skopal, Ladislav Peska, Gregor Kovalck, Toms Grosup, Jakub Lokoc
2017RecSysTowards Recommender Systems for Police Photo Lineup.Ladislav Peska, Hana Trojanova
2015FQASMonotonization of User Preferences.Michal Kopecky, Ladislav Peska, Peter Vojts, Marta Vomlelov
2015RecSysHow to Interpret Implicit User Feedback?Ladislav Peska, Peter Vojts
2014SOFSEMRecommending for Disloyal Customers with Low Consumption Rate.Ladislav Peska, Peter Vojts
2013FQASEnhancing Recommender System with Linked Open Data.Ladislav Peska, Peter Vojts
2012EJCTesting and Evaluating Software in a Social Network Creating Baseline Knowledge.Michal Kopecky, Jaroslav Pokorn, Peter Vojts, Jir Kubalk, Kamil Matousek, Milos Maryska, Ota Novotn, Ladislav Peska
2012EJCTowards web semantization and user understanding.Ladislav Peska, Ivo Lasek, Alan Eckhardt, Jan Dedek, Peter Vojts, Dominik Fiser
2012RecSysEvaluating the Importance of Various Implicit Factors in E-commerce.Ladislav Peska, Peter Vojts