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Ladislav Peska
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2020 – today
- 2024
- [j15]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: 79342-79366 (2024) - [j14]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): 15 (2024) - [j13]Tomás Skopal
, Ladislav Peska, David Hoksza, Ivaná Sixtova
, David Bernhauer:
Visualizations for universal deep-feature representations: survey and taxonomy. Knowl. Inf. Syst. 66(2): 811-840 (2024) - [c77]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: 311-319 - [c76]Patrik Veselý
, Ladislav Peska
:
RESET: Relational Similarity Extension for V3C1 Video Dataset. MMM (5) 2024: 1-14 - [c75]Patrik Dokoupil
, Ladislav Peska
, Ludovico Boratto
:
SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores. SIGIR 2024: 988-995 - [c74]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 - [c73]Patrik Dokoupil
, Ludovico Boratto
, Ladislav Peska
:
User Perceptions of Diversity in Recommender Systems. UMAP 2024: 212-222 - [i4]Stepán Balcar, Ladislav Peska, Peter Vojtás:
Personalisation of d'Hondt's algorithm and its use in recommender ecosystems. CoRR abs/2406.07264 (2024) - 2023
- [j12]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: 30982-30995 (2023) - [j11]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): 3481-3504 (2023) - [j10]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): 22305-22341 (2023) - [c72]Ladislav Peska
, Ivaná Sixtova
, David Hoksza
, David Bernhauer
, Tomás Skopal
:
Visual Representations for Data Analytics: User Study. CHIRA (2) 2023: 231-243 - [c71]Patrik Veselý
, Ladislav Peska
:
Less Is More: Similarity Models for Content-Based Video Retrieval. MMM (2) 2023: 54-65 - [c70]Jakub Lokoc
, Ladislav Peska
:
A Study of a Cross-modal Interactive Search Tool Using CLIP and Temporal Fusion. MMM (1) 2023: 397-408 - [c69]Jakub Lokoc, Zuzana Vopálková, Patrik Dokoupil, Ladislav Peska:
Video Search with CLIP and Interactive Text Query Reformulation. MMM (1) 2023: 628-633 - [c68]Martin Spisák
, Radek Bartyzal
, Antonín Hoskovec
, Ladislav Peska
, Miroslav Tuma
:
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering. RecSys 2023: 763-770 - [c67]Patrik Dokoupil
, Ladislav Peska
, Ludovico Boratto
:
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. RecSys 2023: 912-918 - [c66]Patrik Dokoupil
, Ladislav Peska
:
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems. RecSys 2023: 1196-1199 - [c65]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: 1272-1273 - [c64]Patrik Dokoupil
, Ladislav Peska
, Ludovico Boratto
:
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. SIGIR 2023: 2354-2358 - [c63]Richard Savcinsky
, Ladislav Peska
:
SpotifyExplained: User-centric Mobile Application for Music Exploration. UMAP (Adjunct Publication) 2023: 92-95 - [c62]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: 249-252 - [c61]Patrik Dokoupil
, Ladislav Peska
:
The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems. UMAP (Adjunct Publication) 2023: 296-301 - [e2]João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet:
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. CEUR Workshop Proceedings 3549, CEUR-WS.org 2023 [contents] - [i3]Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. CoRR abs/2307.00654 (2023) - 2022
- [j9]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): 1-18 (2022) - [j8]Stepán Balcar
, Vít Skrhak, Ladislav Peska
:
Rank-sensitive proportional aggregations in dynamic recommendation scenarios. User Model. User Adapt. Interact. 32(4): 685-746 (2022) - [c60]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: 280-285 - [c59]Ladislav Peska
, Jakub Lokoc:
Rating-Aware Self-Organizing Maps. MMM (1) 2022: 119-130 - [c58]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: 193-204 - [c57]Jakub Lokoc, Frantisek Mejzlík, Tomás Soucek, Patrik Dokoupil
, Ladislav Peska
:
Video Search with Context-Aware Ranker and Relevance Feedback. MMM (2) 2022: 505-510 - [c56]Ladislav Peska, Stepán Balcar:
The Effect of Feedback Granularity on Recommender Systems Performance. RecSys 2022: 586-591 - [c55]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: 661-662 - [c54]Francesco Barile
, Amra Delic, Ladislav Peska:
Tutorial on Offline Evaluation for Group Recommender Systems. RecSys 2022: 702-705 - [c53]Ladislav Peska
, Patrik Dokoupil
:
Towards Results-level Proportionality for Multi-objective Recommender Systems. SIGIR 2022: 1963-1968 - [c52]Ladislav Peska, Patrik Veselý, Tomás Skopal
, Krisztián Búza:
Person Authentication using Visual Representations of Keyboard Typing Dynamics. SNAMS 2022: 1-6 - [c51]Patrik Dokoupil
, Ladislav Peska:
Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation. UMAP (Adjunct Publication) 2022: 302-307 - [e1]João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska:
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. CEUR Workshop Proceedings 3303, CEUR-WS.org 2022 [contents] - 2021
- [j7]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): 18-28 (2021) - [j6]Tomás Grosup, Ladislav Peska
, Tomás Skopal
:
On augmenting database schemas by latent visual attributes. Knowl. Inf. Syst. 63(9): 2277-2312 (2021) - [c50]Pavel Gajdusek, Ladislav Peska:
SpotifyGraph: Visualisation of User's Preferences in Music. MMM (2) 2021: 379-384 - [c49]Ladislav Peska, Gregor Kovalcík, Tomás Soucek, Vít Skrhak, Jakub Lokoc:
W2VV++ BERT Model at VBS 2021. MMM (2) 2021: 467-472 - [c48]Patrik Dokoupil, Ladislav Peska:
LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper). KaRS/ComplexRec@RecSys 2021 - [c47]Ladislav Peska, Ladislav Malecek:
Coupled or Decoupled Evaluation for Group Recommendation Methods? Perspectives@RecSys 2021 - [c46]Ladislav Malecek, Ladislav Peska:
Fairness-preserving Group Recommendations With User Weighting. UMAP (Adjunct Publication) 2021: 4-9 - [d1]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
:
Log of the 10th Video Browser Showdown 2021. Zenodo, 2021 - 2020
- [c45]Ladislav Peska
, Peter Vojtás:
Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators. FUZZ-IEEE 2020: 1-8 - [c44]Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. HT 2020: 291-300 - [c43]Josef Starychfojtu, Ladislav Peska
:
SmartRecepies: Towards Cooking and Food Shopping Integration via Mobile Recipes Recommender System. iiWAS 2020: 144-148 - [c42]Stepán Balcar, Ladislav Peska
:
Personalized Implicit Negative Feedback Enhancements for Fuzzy D'Hondt's Recommendation Aggregations. iiWAS 2020: 210-215 - [c41]Ladislav Peska, Frantisek Mejzlík, Tomás Soucek, Jakub Lokoc:
Towards Evaluating and Simulating Keyword Queries for Development of Interactive Known-item Search Systems. ICMR 2020: 281-285 - [c40]Michaela Vystrcilová, Ladislav Peska:
Lyrics or Audio for Music Recommendation? WIMS 2020: 190-194
2010 – 2019
- 2019
- [j5]Ladislav Peska
, Tsegaye Misikir Tashu
, Tomás Horváth
:
Swarm intelligence techniques in recommender systems - A review of recent research. Swarm Evol. Comput. 48: 201-219 (2019) - [c39]David Bernhauer
, Tomás Skopal
, Irena Holubová
, Ladislav Peska
, Martin Svoboda:
SIMILANT: An Analytic Tool for Similarity Modeling. CIKM 2019: 2889-2892 - [c38]Ladislav Peska
, Hana Trojanová:
LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling. DEXA Workshops 2019: 199-209 - [c37]Irena Holubová
, Martin Svoboda
, Tomás Skopal
, David Bernhauer
, Ladislav Peska
:
Advanced Behavioral Analyses Using Inferred Social Networks: A Vision. DEXA Workshops 2019: 210-219 - [c36]Tomás Grosup, Ladislav Peska, Tomás Skopal
:
Towards Augmented Database Schemes by Discovery of Latent Visual Attributes. EDBT 2019: 670-673 - [c35]Ladislav Peska, Stepán Balcar
:
Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation. ORSUM@RecSys 2019: 2-11 - [c34]Ladislav Peska
, Gregor Kovalcík, Jakub Lokoc:
Towards Automatic Configuration of Interactive Known-Item Search Systems. SISAP 2019: 340-347 - [c33]Jakub Lokoc, Tomás Soucek, Frantisek Mejzlík, Ladislav Peska:
VIRET tool keyword search at TRECVID 2019 AVS task. TRECVID 2019 - [c32]Ladislav Malecek, Stepán Balcar
, Ladislav Peska:
LODBookRec: Linked Open Data for Books Recommendation. WIMS 2019: 12:1-12:6 - 2018
- [j4]Ladislav Peska
:
Hybrid recommendations by content-aligned Bayesian personalized ranking. New Rev. Hypermedia Multim. 24(2): 88-109 (2018) - [c31]Ladislav Peska, Hana Trojanova:
Personalized Recommendations in Police Photo Lineup Assembling Task. ITAT 2018: 157-160 - [c30]Tomás Skopal
, Ladislav Peska
, Tomás Grosup:
Interactive Product Search Based on Global and Local Visual-Semantic Features. SISAP 2018: 87-95 - [c29]Tomás Skopal
, Ladislav Peska
, Irena Holubová
, Petr Pascenko, Jan Hucín:
Advanced Analytics of Large Connected Data Based on Similarity Modeling. SISAP 2018: 209-216 - [c28]Ladislav Peska
, Hana Trojanova:
Towards Similarity Models in Police Photo Lineup Assembling Tasks. SISAP 2018: 217-225 - [i2]Ladislav Peska, Peter Vojtás:
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. CoRR abs/1809.03186 (2018) - 2017
- [j3]Ladislav Peska
, Krisztián Búza, Júlia Koller:
Drug-target interaction prediction: A Bayesian ranking approach. Comput. Methods Programs Biomed. 152: 15-21 (2017) - [j2]Krisztián Búza
, Ladislav Peska
:
Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression. Neurocomputing 260: 284-293 (2017) - [j1]Ladislav Peska
, Peter Vojtás
:
Using Implicit Preference Relations to Improve Recommender Systems. J. Data Semant. 6(1): 15-30 (2017) - [c27]Ladislav Peska, Peter Vojtás:
Towards Complex User Feedback and Presentation Context in Recommender Systems. BTW (Workshops) 2017: 203-207 - [c26]Tomás Skopal
, Ladislav Peska
, Gregor Kovalcík, Tomás Grosup, Jakub Lokoc:
Product Exploration based on Latent Visual Attributes. CIKM 2017: 2531-2534 - [c25]Ladislav Peska
:
Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments. HT 2017: 175-183 - [c24]Ladislav Peska:
Multimodal Implicit Feedback for Recommender Systems. ITAT 2017: 240-245 - [c23]Krisztián Búza, Ladislav Peska
:
ALADIN: A New Approach for Drug-Target Interaction Prediction. ECML/PKDD (2) 2017: 322-337 - [c22]Ladislav Peska, Hana Trojanova:
Towards Recommender Systems for Police Photo Lineup. DLRS@RecSys 2017: 19-23 - [i1]Ladislav Peska, Hana Trojanova:
Towards Recommender Systems for Police Photo Lineup. CoRR abs/1707.01389 (2017) - 2016
- [c21]Regina Meszlényi
, Ladislav Peska
, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza
:
A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC 2016: 203-208 - [c20]Regina Meszlényi
, Ladislav Peska
, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza
:
Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO 2016: 245-249 - [c19]Ladislav Peska
:
Using the Context of User Feedback in Recommender Systems. MEMICS 2016: 1-12 - 2015
- [c18]Ladislav Peska, Peter Vojtás:
Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity. DATESO 2015: 101-110 - [c17]Ladislav Peska
, Peter Vojtás
:
Using Implicit Preference Relations to Improve Content Based Recommending. EC-Web 2015: 3-16 - [c16]Michal Kopecky
, Ladislav Peska
, Peter Vojtás
, Marta Vomlelová
:
Monotonization of User Preferences. FQAS 2015: 29-40 - [c15]Ladislav Peska, Peter Vojtás:
How to Interpret Implicit User Feedback? RecSys Posters 2015 - [c14]Ladislav Peska
, Peter Vojtás
:
Using Linked Open Data in Recommender Systems. WIMS 2015: 17:1-17:6 - 2014
- [c13]Ladislav Peska
, Peter Vojtás:
Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations. EC-Web 2014: 138-145 - [c12]Ladislav Peska
, Peter Vojtás
:
Hybrid Recommending Exploiting Multiple DBPedia Language Editions. SemWebEval@ESWC 2014: 144-149 - [c11]Peter Vojtás, Ladislav Peska
:
e-Shop User Preferences via User Behavior. ICE-B 2014: 68-75 - [c10]Ladislav Peska
, Peter Vojtás
:
Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning. RuleML 2014: 251-265 - [c9]Ladislav Peska
, Peter Vojtás
:
Recommending for Disloyal Customers with Low Consumption Rate. SOFSEM 2014: 455-465 - 2013
- [c8]Ladislav Peska
, Peter Vojtás
:
Enhancing Recommender System with Linked Open Data. FQAS 2013: 483-494 - [c7]Ladislav Peska
, Peter Vojtás:
Negative implicit feedback in e-commerce recommender systems. WIMS 2013: 45 - 2012
- [c6]Ladislav Peska
, Ivo Lasek, Alan Eckhardt, Jan Dedek, Peter Vojtás
, Dominik Fiser:
Towards web semantization and user understanding. EJC 2012: 63-81 - [c5]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: 127-141 - [c4]Ladislav Peska, Peter Vojtás:
Evaluating the Importance of Various Implicit Factors in E-commerce. RUE@RecSys 2012: 51-55 - [c3]Ladislav Peska
:
User Feedback and Preferences Mining. UMAP 2012: 382-386 - [c2]Ladislav Peska
, Peter Vojtás
:
Estimating importance of implicit factors in e-commerce recommender systems. WIMS 2012: 62:1-62:4 - 2011
- [c1]Ladislav Peska
, Alan Eckhardt, Peter Vojtás
:
UPComp - A PHP Component for Recommendation Based on User Behaviour. Web Intelligence/IAT Workshops 2011: 306-309
Coauthor Index
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