Hybrid inductive models: deterministic crowding employed. - Pavel Kordík; Miroslav Snorek; Marko Genyk-Berezovskyj (IJCNN, 2004)

Ensemble Techniques for Credibility Estimation of GAME Models. - Pavel Kordík; Miroslav Snorek (ICANN (2), 2005)

Evolutionary Search for Interesting Behavior of Neural Network Ensembles. - Pavel Kordík; Jan Saidl; Miroslav Snorek (IJCNN, 2006)

Visualization techniques utilizing the sensitivity analysis of models. - Ivo Kondapaneni; Pavel Kordík; Pavel Slavík (WSC, 2007)

The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set. - Pavel Kordík; Václav Kremen; Lenka Lhotská (ICANN (2), 2008)

Analysis of Vestibular-Ocular Reflex by Evolutionary Framework. - Daniel Novák; Ales Pilný; Pavel Kordík; Stefan Holiga; Petr Posík; R. Cerný; Richard Brzezny (ICANN (1), 2008)

Feature Ranking Derived from Data Mining Process. - Ales Pilný; Pavel Kordík; Miroslav Snorek (ICANN (2), 2008)

Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?. - Tomás Siegl; Pavel Kordík; Miroslav Snorek; Pavel Calda (ICANN (1), 2008)

Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home. - Pavel Kordík; Martin Hasaj; Marek Tvrdy; Miroslav Snorek (EMS, 2009)

Meta-learning approach to neural network optimization. - Pavel Kordík; Jan Koutník; Jan Drchal; Oleg Kovárík; Miroslav Cepek; Miroslav Snorek (Neural Networks, 2010)

Self-organization of Supervised Models. - Pavel Kordík; Ján Cerný (Meta-Learning in Computational Intelligence, 2011)

Max-min ant system with linear memory complexity. - Oleg Kovárík; Pavel Kordík (IEEE Congress on Evolutionary Computation, 2012)

Contextual Latent Semantic Networks used for Document Classification. - Ondrej Hava; Miroslav Skrbek; Pavel Kordík (KDIR, 2012)

On performance of meta-learning templates on different datasets. - Pavel Kordík; Ján Cerný (IJCNN, 2012)

Encoding Time Series Data for Better Clustering Results. - Tomás Barton; Pavel Kordík (CISIS/ICEUTE/SOCO Special Sessions, 2012)

A Soft Computing Approach to Knowledge Flow Synthesis and Optimization. - Tomas Rehorek; Pavel Kordík (SOCO, 2012)

Document classification with supervised latent feature selection. - Ondrej Hava; Miroslav Skrbek; Pavel Kordík (WIMS, 2012)

Supervised two-step feature extraction for structured representation of text data. - Ondrej Hava; Miroslav Skrbek; Pavel Kordík (Simul. Model. Pract. Theory, 2013)

Building predictive models in two stages with meta-learning templates optimized by genetic programming. - Pavel Kordík; Ján Cerný (CIEL, 2014)

Mining Skills from Educational Data for Project Recommendations. - Pavel Kordík; Stanislav Kuznetsov (CISIS-ICEUTE, 2015)

Evaluation of Relative Indexes for Multi-objective Clustering. - Tomás Barton; Pavel Kordík (HAIS, 2015)

Using Multi-Objective Optimization for the Selection of Ensemble Members. - Tomás Barton; Pavel Kordík (ITAT, 2015)

MoCham: Robust Hierarchical Clustering Based on Multi-objective Optimization. - Tomás Barton; Tomas Bruna; Pavel Kordík (ICDM Workshops, 2016)

Reducing cold start problems in educational recommender systems. - Stanislav Kuznetsov; Pavel Kordík; Tomas Rehorek; Josef Dvorak; Petr Kroha (IJCNN, 2016)

Neural Turing Machine for sequential learning of human mobility patterns. - Jan Tkacik; Pavel Kordík (IJCNN, 2016)

Scalability of predictive ensembles. - Pavel Kordík; Tomás Frýda; Miroslav Snorek; Miroslav Cepek (CSIT (1), 2017)

Foreign Key Constraint Identification in Relational Databases. - Jan Motl; Pavel Kordík (ITAT, 2017)

Do We Need to Observe Features to Perform Feature Selection? - Jan Motl; Pavel Kordík (ITAT, 2018)

Violation of Independence of Irrelevant Alternatives in Friedman's test. - Jan Motl; Pavel Kordík (ITAT, 2018)

Discovering predictive ensembles for transfer learning and meta-learning. - Pavel Kordík; Ján Cerný; Tomás Frýda (Mach. Learn., 2018)

Learning on a Stream of Features with Random Forest. - Jan Motl; Pavel Kordík (ITAT, 2019)

Chameleon 2: An Improved Graph-Based Clustering Algorithm. - Tomás Barton; Tomas Bruna; Pavel Kordík (ACM Trans. Knowl. Discov. Data, 2019)

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. - Tomás Chobola; Daniel Vasata; Pavel Kordík (MetaDL@AAAI, 2021)

Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. - Alexander Kovalenko; Pavel Kordík; Magda Friedjungová (ICANN (2), 2021)

Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). - Vojtech Vancura; Pavel Kordík (ICANN (5), 2021)

Stratified Cross-Validation on Multiple Columns. - Jan Motl; Pavel Kordík (ICTAI, 2021)

Aggregate Function Generalization to Temporal Data. - Jan Motl; Pavel Kordík (ICTAI, 2021)

Novel Data Mining-based Age-at-death Estimation Model using Adult Pubic Symphysis 3D Scans. - Zdenek Buk; Michal Stepanovsky; Anezka Koterová; Jana Velemínská; Jaroslav Bruzek; Pavel Kordík (ITAT, 2021)

Adapting the Size of Artificial Neural Networks Using Dynamic Auto-Sizing. - Vojtech Cahlík; Pavel Kordík; Miroslav Cepek (CSIT, 2022)

Offline evaluation of the serendipity in recommendation systems. - Daniil Pastukhov; Stanislav Kuznetsov; Vojtech Vancura; Pavel Kordík (CSIT, 2022)

Discriminant Analysis on a Stream of Features. - Jan Motl; Pavel Kordík (EANN, 2022)

Trend and Seasonality Elimination from Relational Data. - Jan Motl; Pavel Kordík (EANN, 2022)

Learning to Optimize with Dynamic Mode Decomposition. - Petr Simánek; Daniel Vasata; Pavel Kordík (IJCNN, 2022)

RepSys: Framework for Interactive Evaluation of Recommender Systems. - Jan Safarík; Vojtech Vancura; Pavel Kordík (RecSys, 2022)

Scalable Linear Shallow Autoencoder for Collaborative Filtering. - Vojtech Vancura; Rodrigo Alves; Petr Kasalický; Pavel Kordík (RecSys, 2022)

Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs. - Stanislav Kuznetsov; Pavel Kordík (ADBIS (Short Papers), 2023)

Personalised Recommendations and Profile Based Re-ranking Improve Distribution of Student Opportunities. - Cenek Zid; Pavel Kordík; Stanislav Kuznetsov (CISIS-ICEUTE, 2023)

Decorelated Weight Initialization by Backpropagation. - Alexander Kovalenko; Pavel Kordík (ICANN (1), 2023)

Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders. - Petr Kasalický; Rodrigo Alves; Pavel Kordík (EvalRS@KDD, 2023)

beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems. - Vojtech Vancura; Pavel Kordík; Milan Straka (RecSys, 2024)

Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment. - Filip Spacek; Vojtech Vancura; Pavel Kordík (UMAP, 2025)

Reasoning-Grounded Natural Language Explanations for Language Models. - Vojtech Cahlík; Rodrigo Alves; Pavel Kordík (CoRR, 2025)

The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. - Petr Kasalický; Martin Spisák; Vojtech Vancura; Daniel Bohunek; Rodrigo Alves; Pavel Kordík (CoRR, 2025)