Ladislav Peska

Orcid: 0000-0001-8082-4509

According to our database1, Ladislav Peska authored at least 86 papers between 2011 and 2024.

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Bibliography

2024
Visualizations for universal deep-feature representations: survey and taxonomy.
Knowl. Inf. Syst., February, 2024

RESET: Relational Similarity Extension for V3C1 Video Dataset.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS.
Multim. Syst., December, 2023

Evaluating a Bayesian-like relevance feedback model with text-to-image search initialization.
Multim. Tools Appl., June, 2023

Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021.
IEEE Access, 2023

SpotifyExplained: User-centric Mobile Application for Music Exploration.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Less Is More: Similarity Models for Content-Based Video Retrieval.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Video Search with CLIP and Interactive Text Query Reformulation.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

A Study of a Cross-modal Interactive Search Tool Using CLIP and Temporal Fusion.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Visual Representations for Data Analytics: User Study.
Proceedings of the Computer-Human Interaction Research and Applications, 2023

2022
Rank-sensitive proportional aggregations in dynamic recommendation scenarios.
User Model. User Adapt. Interact., 2022

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., 2022

Robustness Against Polarity Bias in Decoupled Group Recommendations Evaluation.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Person Authentication using Visual Representations of Keyboard Typing Dynamics.
Proceedings of the Ninth International Conference on Social Networks Analysis, 2022

Towards Results-level Proportionality for Multi-objective Recommender Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

The Effect of Feedback Granularity on Recommender Systems Performance.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Tutorial on Offline Evaluation for Group Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Rating-Aware Self-Organizing Maps.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Video Search with Context-Aware Ranker and Relevance Feedback.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

A Task Category Space for User-Centric Comparative Multimedia Search Evaluations.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term motivations.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021
On augmenting database schemas by latent visual attributes.
Knowl. Inf. Syst., 2021

On the User-Centric Comparative Remote Evaluation of Interactive Video Search Systems.
IEEE Multim., 2021

Fairness-preserving Group Recommendations With User Weighting.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Coupled or Decoupled Evaluation for Group Recommendation Methods?
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

LiGAN: Recommending Artificial Fillers for Police Photo Lineups (Short paper).
Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

W2VV++ BERT Model at VBS 2021.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

SpotifyGraph: Visualisation of User's Preferences in Music.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020
Lyrics or Audio for Music Recommendation?
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

Towards Evaluating and Simulating Keyword Queries for Development of Interactive Known-item Search Systems.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

SmartRecepies: Towards Cooking and Food Shopping Integration via Mobile Recipes Recommender System.
Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

Personalized Implicit Negative Feedback Enhancements for Fuzzy D'Hondt's Recommendation Aggregations.
Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
Swarm intelligence techniques in recommender systems - A review of recent research.
Swarm Evol. Comput., 2019

LODBookRec: Linked Open Data for Books Recommendation.
Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019

VIRET tool keyword search at TRECVID 2019 AVS task.
Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Towards Automatic Configuration of Interactive Known-Item Search Systems.
Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

Fuzzy D'Hondt's Algorithm for On-line Recommendations Aggregation.
Proceedings of the 2nd Workshop on Online Recommender Systems and User Modeling, 2019

Towards Augmented Database Schemes by Discovery of Latent Visual Attributes.
Proceedings of the Advances in Database Technology, 2019

LineIT: Similarity Search and Recommendation Tool for Photo Lineup Assembling.
Proceedings of the Database and Expert Systems Applications, 2019

Advanced Behavioral Analyses Using Inferred Social Networks: A Vision.
Proceedings of the Database and Expert Systems Applications, 2019

SIMILANT: An Analytic Tool for Similarity Modeling.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Hybrid recommendations by content-aligned Bayesian personalized ranking.
New Rev. Hypermedia Multim., 2018

Advanced Analytics of Large Connected Data Based on Similarity Modeling.
Proceedings of the Similarity Search and Applications - 11th International Conference, 2018

Interactive Product Search Based on Global and Local Visual-Semantic Features.
Proceedings of the Similarity Search and Applications - 11th International Conference, 2018

Towards Similarity Models in Police Photo Lineup Assembling Tasks.
Proceedings of the Similarity Search and Applications - 11th International Conference, 2018

Personalized Recommendations in Police Photo Lineup Assembling Task.
Proceedings of the 18th Conference Information Technologies, 2018

2017
Using Implicit Preference Relations to Improve Recommender Systems.
J. Data Semant., 2017

Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression.
Neurocomputing, 2017

Drug-target interaction prediction: A Bayesian ranking approach.
Comput. Methods Programs Biomed., 2017

Towards Recommender Systems for Police Photo Lineup.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

ALADIN: A New Approach for Drug-Target Interaction Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multimodal Implicit Feedback for Recommender Systems.
Proceedings of the 17th Conference on Information Technologies, 2017

Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments.
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Product Exploration based on Latent Visual Attributes.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Towards Complex User Feedback and Presentation Context in Recommender Systems.
Proceedings of the Datenbanksysteme für Business, 2017

2016
Using the Context of User Feedback in Recommender Systems.
Proceedings of the Proceedings 11th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, 2016

Classification of fMRI data using dynamic time warping based functional connectivity analysis.
Proceedings of the 24th European Signal Processing Conference, 2016

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain.
Proceedings of the Third European Network Intelligence Conference, 2016

2015
Using Linked Open Data in Recommender Systems.
Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics, 2015

How to Interpret Implicit User Feedback?
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Monotonization of User Preferences.
Proceedings of the Flexible Query Answering Systems 2015, 2015

Using Implicit Preference Relations to Improve Content Based Recommending.
Proceedings of the E-Commerce and Web Technologies, 2015

Biased k-NN Similarity Content Based Prediction of Movie Tweets Popularity.
Proceedings of the Dateso 2015 Annual International Workshop on DAtabases, 2015

2014
Recommending for Disloyal Customers with Low Consumption Rate.
Proceedings of the SOFSEM 2014: Theory and Practice of Computer Science, 2014

Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning.
Proceedings of the Rules on the Web. From Theory to Applications, 2014

e-Shop User Preferences via User Behavior.
Proceedings of the ICE-B 2014, 2014

Hybrid Recommending Exploiting Multiple DBPedia Language Editions.
Proceedings of the Semantic Web Evaluation Challenge, 2014

Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

2013
Negative implicit feedback in e-commerce recommender systems.
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, 2013

Enhancing Recommender System with Linked Open Data.
Proceedings of the Flexible Query Answering Systems - 10th International Conference, 2013

2012
Estimating importance of implicit factors in e-commerce recommender systems.
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

User Feedback and Preferences Mining.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Evaluating the Importance of Various Implicit Factors in E-commerce.
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

Towards web semantization and user understanding.
Proceedings of the Information Modelling and Knowledge Bases XXIV, 2012

Testing and Evaluating Software in a Social Network Creating Baseline Knowledge.
Proceedings of the Information Modelling and Knowledge Bases XXIV, 2012

2011
UPComp - A PHP Component for Recommendation Based on User Behaviour.
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011


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