| 2025 | CIKM | Active Recommendation for Email Outreach Dynamics. | Cenek Zid, Rodrigo Alves, Pavel Kordk |
| 2025 | FedCSIS | Bridging Global Language Models and Local Spatial Data: The JackDaw Approach to Context-Aware Agriculture and Rural Planning. | Karel Charvt, Stein-Runar Bergheim, Ral Palma, Adam Aron Rynkiewicz, Mats Botek, Alexander Kovalenko, Pavel Kordk, Antonn Kubcek, Markta Kollerov, Srka Horkov |
| 2025 | RecSys | The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. | Petr Kasalick, Martin Spisk, Vojtech Vancura, Daniel Bohunek, Rodrigo Alves, Pavel Kordk |
| 2025 | RecSys | Recurrent Autoregressive Linear Model for Next-Basket Recommendation. | Tereza Zmeskalov, Antoine Ledent, Martin Spisk, Pavel Kordk, Rodrigo Alves |
| 2024 | RecSys | beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems. | Vojtech Vancura, Pavel Kordk, Milan Straka |
| 2023 | ADBIS | Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs. | Stanislav Kuznetsov, Pavel Kordk |
| 2023 | ICANN | Decorelated Weight Initialization by Backpropagation. | Alexander Kovalenko, Pavel Kordk |
| 2023 | KDD | Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders. | Petr Kasalick, Rodrigo Alves, Pavel Kordk |
| 2022 | CSIT | Adapting the Size of Artificial Neural Networks Using Dynamic Auto-Sizing. | Vojtech Cahlk, Pavel Kordk, Miroslav Cepek |
| 2022 | CSIT | Offline evaluation of the serendipity in recommendation systems. | Daniil Pastukhov, Stanislav Kuznetsov, Vojtech Vancura, Pavel Kordk |
| 2022 | EANN | Discriminant Analysis on a Stream of Features. | Jan Motl, Pavel Kordk |
| 2022 | EANN | Trend and Seasonality Elimination from Relational Data. | Jan Motl, Pavel Kordk |
| 2022 | IJCNN | Learning to Optimize with Dynamic Mode Decomposition. | Petr Simnek, Daniel Vasata, Pavel Kordk |
| 2022 | RecSys | RepSys: Framework for Interactive Evaluation of Recommender Systems. | Jan Safark, Vojtech Vancura, Pavel Kordk |
| 2022 | RecSys | Scalable Linear Shallow Autoencoder for Collaborative Filtering. | Vojtech Vancura, Rodrigo Alves, Petr Kasalick, Pavel Kordk |
| 2021 | AAAI | Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. | Toms Chobola, Daniel Vasata, Pavel Kordk |
| 2021 | ICANN | Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. | Alexander Kovalenko, Pavel Kordk, Magda Friedjungov |
| 2021 | ICANN | Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). | Vojtech Vancura, Pavel Kordk |
| 2021 | ICTAI | Stratified Cross-Validation on Multiple Columns. | Jan Motl, Pavel Kordk |
| 2021 | ICTAI | Aggregate Function Generalization to Temporal Data. | Jan Motl, Pavel Kordk |
| 2017 | CSIT | Scalability of predictive ensembles. | Pavel Kordk, Toms Frda, Miroslav Snorek, Miroslav Cepek |
| 2016 | ICDM | MoCham: Robust Hierarchical Clustering Based on Multi-objective Optimization. | Toms Barton, Tomas Bruna, Pavel Kordk |
| 2016 | IJCNN | Reducing cold start problems in educational recommender systems. | Stanislav Kuznetsov, Pavel Kordk, Tomas Rehorek, Josef Dvorak, Petr Kroha |
| 2016 | IJCNN | Neural Turing Machine for sequential learning of human mobility patterns. | Jan Tkacik, Pavel Kordk |
| 2015 | HAIS | Evaluation of Relative Indexes for Multi-objective Clustering. | Toms Barton, Pavel Kordk |
| 2012 | CEC | Max-min ant system with linear memory complexity. | Oleg Kovrk, Pavel Kordk |
| 2012 | IC3K | Contextual Latent Semantic Networks used for Document Classification. | Ondrej Hava, Miroslav Skrbek, Pavel Kordk |
| 2012 | IJCNN | On performance of meta-learning templates on different datasets. | Pavel Kordk, Jn Cern |
| 2008 | ICANN | The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set. | Pavel Kordk, Vclav Kremen, Lenka Lhotsk |
| 2008 | ICANN | Analysis of Vestibular-Ocular Reflex by Evolutionary Framework. | Daniel Novk, Ales Piln, Pavel Kordk, Stefan Holiga, Petr Posk, R. Cern, Richard Brzezny |
| 2008 | ICANN | Feature Ranking Derived from Data Mining Process. | Ales Piln, Pavel Kordk, Miroslav Snorek |
| 2008 | ICANN | Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?. | Toms Siegl, Pavel Kordk, Miroslav Snorek, Pavel Calda |
| 2007 | WSC | Visualization techniques utilizing the sensitivity analysis of models. | Ivo Kondapaneni, Pavel Kordk, Pavel Slavk |
| 2006 | IJCNN | Evolutionary Search for Interesting Behavior of Neural Network Ensembles. | Pavel Kordk, Jan Saidl, Miroslav Snorek |
| 2005 | ICANN | Ensemble Techniques for Credibility Estimation of GAME Models. | Pavel Kordk, Miroslav Snorek |
| 2004 | IJCNN | Hybrid inductive models: deterministic crowding employed. | Pavel Kordk, Miroslav Snorek, Marko Genyk-Berezovskyj |