Ladislav Peska

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 78

Top Topics

Recommender Systems

Visual Representations

Top Venues

UMAP (Adjunct Publication)

Publications

Konstantin Schall, Werner Bailer, Kai Uwe Barthel, Fabio Carrara, Jakub Lokoc, Ladislav Peska, Klaus Schoeffmann, Lucia Vadicamo, Claudio Vairo
Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition. Int. J. Multim. Inf. Retr. 13 (2) (2024)
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
Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition. IEEE Access 12 (2024)
Tomás Skopal, Ladislav Peska, David Hoksza, Ivaná Sixtova, David Bernhauer
Visualizations for universal deep-feature representations: survey and taxonomy. Knowl. Inf. Syst. 66 (2) (2024)
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
User Perceptions of Diversity in Recommender Systems. UMAP (2024)
Stepán Balcar, Ladislav Peska, Peter Vojtás
Personalisation of d'Hondt's algorithm and its use in recommender ecosystems. CoRR (2024)
Lucas Joos, Bastian Jäckl, Daniel A. Keim, Maximilian T. Fischer, Ladislav Peska, Jakub Lokoc
Known-Item Search in Video: An Eye Tracking-Based Study. ICMR (2024)
Patrik Veselý, Ladislav Peska
RESET: Relational Similarity Extension for V3C1 Video Dataset. MMM (5) (2024)
Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Federica Lucia Vinella
GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) (2024)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. SIGIR (2024)
Jakub Lokoc, Zuzana Vopálková, Patrik Dokoupil, Ladislav Peska
Video Search with CLIP and Interactive Text Query Reformulation. MMM (1) (2023)
Ladislav Peska, Ivaná Sixtova, David Hoksza, David Bernhauer, Tomás Skopal
Visual Representations for Data Analytics: User Study. CHIRA (2) (2023)
Patrik Dokoupil, Ladislav Peska
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems. RecSys (2023)
Ladislav Peska, Marta Vomlelová, Patrik Veselý, Vít Skrhak, Jakub Lokoc
Evaluating a Bayesian-like relevance feedback model with text-to-image search initialization. Multim. Tools Appl. 82 (15) (2023)
Patrik Dokoupil, Ladislav Peska
The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems. UMAP (Adjunct Publication) (2023)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. SIGIR (2023)
Jakub Lokoc, Ladislav Peska
A Study of a Cross-modal Interactive Search Tool Using CLIP and Temporal Fusion. MMM (1) (2023)
Patrik Veselý, Ladislav Peska
Less Is More: Similarity Models for Content-Based Video Retrieval. MMM (2) (2023)
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
Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021. IEEE Access 11 (2023)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. CoRR (2023)
João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet
ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. RecSys (2023)
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
Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multim. Syst. 29 (6) (2023)
Patrik Dokoupil, Ladislav Peska, Ludovico Boratto
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. RecSys (2023)
Martin Spisák, Radek Bartyzal, Antonín Hoskovec, Ladislav Peska, Miroslav Tuma
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering. RecSys (2023)
Richard Savcinsky, Ladislav Peska
SpotifyExplained: User-centric Mobile Application for Music Exploration. UMAP (Adjunct Publication) (2023)
Francesco Barile, Amra Delic, Ladislav Peska, Isabella Saccardi, Onuralp Ulusoy, Federica Lucia Vinella
GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization. UMAP (Adjunct Publication) (2023)
João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska
ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. RecSys (2022)
Ladislav Peska, Patrik Dokoupil
Towards Results-level Proportionality for Multi-objective Recommender Systems. SIGIR (2022)
Stepán Balcar, Ladislav Peska, Peter Vojtás
Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations. ICCAI (2022)
Stepán Balcar, Vít Skrhak, Ladislav Peska
Rank-sensitive proportional aggregations in dynamic recommendation scenarios. User Model. User Adapt. Interact. 32 (4) (2022)
Jakub Lokoc, Frantisek Mejzlík, Tomás Soucek, Patrik Dokoupil, Ladislav Peska
Video Search with Context-Aware Ranker and Relevance Feedback. MMM (2) (2022)
Ladislav Peska, Patrik Veselý, Tomás Skopal, Krisztián Búza
Person Authentication using Visual Representations of Keyboard Typing Dynamics. SNAMS (2022)
Patrik Dokoupil, Ladislav Peska
Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation. UMAP (Adjunct Publication) (2022)
Francesco Barile, Amra Delic, Ladislav Peska
Tutorial on Offline Evaluation for Group Recommender Systems. RecSys (2022)
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
A Task Category Space for User-Centric Comparative Multimedia Search Evaluations. MMM (1) (2022)
Ladislav Peska, Stepán Balcar
The Effect of Feedback Granularity on Recommender Systems Performance. RecSys (2022)
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
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. 11 (1) (2022)
Ladislav Peska, Jakub Lokoc
Rating-Aware Self-Organizing Maps. MMM (1) (2022)
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
On the User-Centric Comparative Remote Evaluation of Interactive Video Search Systems. IEEE Multim. 28 (4) (2021)
Pavel Gajdusek, Ladislav Peska
SpotifyGraph: Visualisation of User's Preferences in Music. MMM (2) (2021)
Ladislav Malecek, Ladislav Peska
Fairness-preserving Group Recommendations With User Weighting. UMAP (Adjunct Publication) (2021)
Tomás Grosup, Ladislav Peska, Tomás Skopal
On augmenting database schemas by latent visual attributes. Knowl. Inf. Syst. 63 (9) (2021)
Patrik Dokoupil, Ladislav Peska
LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper). KaRS/ComplexRec@RecSys (2021)
Ladislav Peska, Ladislav Malecek
Coupled or Decoupled Evaluation for Group Recommendation Methods? Perspectives@RecSys (2021)
Ladislav Peska, Gregor Kovalcík, Tomás Soucek, Vít Skrhak, Jakub Lokoc
W2VV++ BERT Model at VBS 2021. MMM (2) (2021)
Josef Starychfojtu, Ladislav Peska
SmartRecepies: Towards Cooking and Food Shopping Integration via Mobile Recipes Recommender System. iiWAS (2020)
Michaela Vystrcilová, Ladislav Peska
Lyrics or Audio for Music Recommendation? WIMS (2020)
Ladislav Peska, Peter Vojtás
Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators. FUZZ-IEEE (2020)
Stepán Balcar, Ladislav Peska
Personalized Implicit Negative Feedback Enhancements for Fuzzy D'Hondt's Recommendation Aggregations. iiWAS (2020)
Ladislav Peska, Peter Vojtás
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. HT (2020)
Ladislav Peska, Frantisek Mejzlík, Tomás Soucek, Jakub Lokoc
Towards Evaluating and Simulating Keyword Queries for Development of Interactive Known-item Search Systems. ICMR (2020)
Ladislav Malecek, Stepán Balcar, Ladislav Peska
LODBookRec: Linked Open Data for Books Recommendation. WIMS (2019)
Ladislav Peska, Gregor Kovalcík, Jakub Lokoc
Towards Automatic Configuration of Interactive Known-Item Search Systems. SISAP (2019)
Ladislav Peska, Hana Trojanová
LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling. DEXA Workshops (2019)
Ladislav Peska, Stepán Balcar
Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation. ORSUM@RecSys (2019)
David Bernhauer, Tomás Skopal, Irena Holubová, Ladislav Peska, Martin Svoboda
SIMILANT: An Analytic Tool for Similarity Modeling. CIKM (2019)
Jakub Lokoc, Tomás Soucek, Frantisek Mejzlík, Ladislav Peska
VIRET tool keyword search at TRECVID 2019 AVS task. TRECVID (2019)
Tomás Grosup, Ladislav Peska, Tomás Skopal
Towards Augmented Database Schemes by Discovery of Latent Visual Attributes. EDBT (2019)
Irena Holubová, Martin Svoboda, Tomás Skopal, David Bernhauer, Ladislav Peska
Advanced Behavioral Analyses Using Inferred Social Networks: A Vision. DEXA Workshops (2019)
Ladislav Peska, Tsegaye Misikir Tashu, Tomás Horváth
Swarm intelligence techniques in recommender systems - A review of recent research. Swarm Evol. Comput. 48 (2019)
Tomás Skopal, Ladislav Peska, Tomás Grosup
Interactive Product Search Based on Global and Local Visual-Semantic Features. SISAP (2018)
Ladislav Peska
Hybrid recommendations by content-aligned Bayesian personalized ranking. New Rev. Hypermedia Multim. 24 (2) (2018)
Ladislav Peska, Hana Trojanova
Towards Similarity Models in Police Photo Lineup Assembling Tasks. SISAP (2018)
Ladislav Peska, Peter Vojtás
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. CoRR (2018)
Tomás Skopal, Ladislav Peska, Irena Holubová, Petr Pascenko, Jan Hucín
Advanced Analytics of Large Connected Data Based on Similarity Modeling. SISAP (2018)
Ladislav Peska, Hana Trojanova
Personalized Recommendations in Police Photo Lineup Assembling Task. ITAT (2018)
Ladislav Peska, Krisztian Buza, Júlia Koller
Drug-target interaction prediction: A Bayesian ranking approach. Comput. Methods Programs Biomed. 152 (2017)
Ladislav Peska, Peter Vojtás
Towards Complex User Feedback and Presentation Context in Recommender Systems. BTW (Workshops) (2017)
Ladislav Peska, Hana Trojanova
Towards Recommender Systems for Police Photo Lineup. CoRR (2017)
Ladislav Peska
Multimodal Implicit Feedback for Recommender Systems. ITAT (2017)
Ladislav Peska, Hana Trojanova
Towards Recommender Systems for Police Photo Lineup. DLRS@RecSys (2017)
Krisztian Buza, Ladislav Peska
Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression. Neurocomputing 260 (2017)
Krisztian Buza, Ladislav Peska
ALADIN: A New Approach for Drug-Target Interaction Prediction. ECML/PKDD (2) (2017)
Tomás Skopal, Ladislav Peska, Gregor Kovalcík, Tomás Grosup, Jakub Lokoc
Product Exploration based on Latent Visual Attributes. CIKM (2017)
Ladislav Peska, Peter Vojtás
Using Implicit Preference Relations to Improve Recommender Systems. J. Data Semant. 6 (1) (2017)
Ladislav Peska
Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments. HT (2017)
Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztian Buza
Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO (2016)
Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztian Buza
A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC (2016)
Ladislav Peska
Using the Context of User Feedback in Recommender Systems. MEMICS (2016)
Ladislav Peska, Peter Vojtás
How to Interpret Implicit User Feedback? RecSys Posters (2015)
Ladislav Peska, Peter Vojtás
Using Implicit Preference Relations to Improve Content Based Recommending. EC-Web (2015)
Ladislav Peska, Peter Vojtás
Using Linked Open Data in Recommender Systems. WIMS (2015)
Michal Kopecky, Ladislav Peska, Peter Vojtás, Marta Vomlelová
Monotonization of User Preferences. FQAS (2015)
Ladislav Peska, Peter Vojtás
Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity. DATESO (2015)
Ladislav Peska, Peter Vojtás
Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning. RuleML (2014)
Ladislav Peska, Peter Vojtás
Recommending for Disloyal Customers with Low Consumption Rate. SOFSEM (2014)
Ladislav Peska, Peter Vojtás
Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations. EC-Web (2014)
Ladislav Peska, Peter Vojtás
Hybrid Recommending Exploiting Multiple DBPedia Language Editions. SemWebEval@ESWC (2014)
Peter Vojtás, Ladislav Peska
e-Shop User Preferences via User Behavior. ICE-B (2014)
Ladislav Peska, Peter Vojtás
Negative implicit feedback in e-commerce recommender systems. WIMS (2013)
Ladislav Peska, Peter Vojtás
Enhancing Recommender System with Linked Open Data. FQAS (2013)
Ladislav Peska
User Feedback and Preferences Mining. UMAP (2012)
Ladislav Peska, Peter Vojtás
Estimating importance of implicit factors in e-commerce recommender systems. WIMS (2012)
Ladislav Peska, Peter Vojtás
Evaluating the Importance of Various Implicit Factors in E-commerce. RUE@RecSys (2012)
Michal Kopecky, Jaroslav Pokorný, Peter Vojtás, Jirí Kubalík, Kamil Matousek, Milos Maryska, Ota Novotný, Ladislav Peska
Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC (2012)
Ladislav Peska, Ivo Lasek, Alan Eckhardt, Jan Dedek, Peter Vojtás, Dominik Fiser
Towards web semantization and user understanding. EJC (2012)
Ladislav Peska, Alan Eckhardt, Peter Vojtás
UPComp - A PHP Component for Recommendation Based on User Behaviour. Web Intelligence/IAT Workshops (2011)