Pavel Kordík

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 31

Top Topics

Recommender Systems

Ensemble Members

Top Venues

Publications

Petr Kasalický, Rodrigo Alves, Pavel Kordík
Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders. EvalRS@KDD (2023)
Cenek Zid, Pavel Kordík, Stanislav Kuznetsov
Personalised Recommendations and Profile Based Re-ranking Improve Distribution of Student Opportunities. CISIS-ICEUTE (2023)
Petr Kasalický, Rodrigo Alves, Pavel Kordík
Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders. CoRR (2023)
Stanislav Kuznetsov, Pavel Kordík
Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs. ADBIS (Short Papers) (2023)
Vojtech Cahlík, Pavel Kordík, Miroslav Cepek
Adapting the Size of Artificial Neural Networks Using Dynamic Auto-Sizing. CSIT (2022)
Petr Simánek, Daniel Vasata, Pavel Kordík
Learning to Optimize with Dynamic Mode Decomposition. CoRR (2022)
Daniil Pastukhov, Stanislav Kuznetsov, Vojtech Vancura, Pavel Kordík
Offline evaluation of the serendipity in recommendation systems. CSIT (2022)
Petr Simánek, Daniel Vasata, Pavel Kordík
Learning to Optimize with Dynamic Mode Decomposition. IJCNN (2022)
Jan Safarík, Vojtech Vancura, Pavel Kordík
RepSys: Framework for Interactive Evaluation of Recommender Systems. RecSys (2022)
Vojtech Vancura, Rodrigo Alves, Petr Kasalický, Pavel Kordík
Scalable Linear Shallow Autoencoder for Collaborative Filtering. RecSys (2022)
Jan Motl, Pavel Kordík
Discriminant Analysis on a Stream of Features. EANN (2022)
Jan Motl, Pavel Kordík
Trend and Seasonality Elimination from Relational Data. EANN (2022)
Zdenek Buk, Michal Stepanovsky, Anezka Koterová, Jana Velemínská, Jaroslav Bruzek, Pavel Kordík
Novel Data Mining-based Age-at-death Estimation Model using Adult Pubic Symphysis 3D Scans. ITAT (2021)
Vojtech Vancura, Pavel Kordík
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). ICANN (5) (2021)
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. CoRR (2021)
Tomás Chobola, Daniel Vasata, Pavel Kordík
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. CoRR (2021)
Tomás Chobola, Daniel Vasata, Pavel Kordík
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. MetaDL@AAAI (2021)
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. ICANN (2) (2021)
Jan Motl, Pavel Kordík
Aggregate Function Generalization to Temporal Data. ICTAI (2021)
Jan Motl, Pavel Kordík
Stratified Cross-Validation on Multiple Columns. ICTAI (2021)
Vojtech Vancura, Pavel Kordík
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). CoRR (2021)
Tomás Barton, Tomas Bruna, Pavel Kordík
Chameleon 2: An Improved Graph-Based Clustering Algorithm. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Jan Motl, Pavel Kordík
Learning on a Stream of Features with Random Forest. ITAT (2019)
Pavel Kordík, Ján Cerný, Tomás Frýda
Discovering predictive ensembles for transfer learning and meta-learning. Mach. Learn. 107 (1) (2018)
Jan Motl, Pavel Kordík
Violation of Independence of Irrelevant Alternatives in Friedman's test. ITAT (2018)
Jan Motl, Pavel Kordík
Do We Need to Observe Features to Perform Feature Selection? ITAT (2018)
Jan Motl, Pavel Kordík
Foreign Key Constraint Identification in Relational Databases. ITAT (2017)
Pavel Kordík, Tomas Fryda, Miroslav Snorek, Miroslav Cepek
Scalability of predictive ensembles. CSIT (1) (2017)
Stanislav Kuznetsov, Pavel Kordík, Tomas Rehorek, Josef Dvorak, Petr Kroha
Reducing cold start problems in educational recommender systems. IJCNN (2016)
Jan Tkacik, Pavel Kordík
Neural Turing Machine for sequential learning of human mobility patterns. IJCNN (2016)
Tomás Barton, Tomas Bruna, Pavel Kordík
MoCham: Robust Hierarchical Clustering Based on Multi-objective Optimization. ICDM Workshops (2016)
Tomás Barton, Pavel Kordík
Using Multi-Objective Optimization for the Selection of Ensemble Members. ITAT (2015)
Tomás Barton, Pavel Kordík
Evaluation of Relative Indexes for Multi-objective Clustering. HAIS (2015)
Pavel Kordík, Stanislav Kuznetsov
Mining Skills from Educational Data for Project Recommendations. CISIS-ICEUTE (2015)
Pavel Kordík, Ján Cerný
Building predictive models in two stages with meta-learning templates optimized by genetic programming. CIEL (2014)
Ondrej Hava, Miroslav Skrbek, Pavel Kordík
Supervised two-step feature extraction for structured representation of text data. Simul. Model. Pract. Theory 33 (2013)
Tomas Rehorek, Pavel Kordík
A Soft Computing Approach to Knowledge Flow Synthesis and Optimization. SOCO (2012)
Oleg Kovárík, Pavel Kordík
Max-min ant system with linear memory complexity. IEEE Congress on Evolutionary Computation (2012)
Ondrej Hava, Miroslav Skrbek, Pavel Kordík
Contextual Latent Semantic Networks used for Document Classification. KDIR (2012)
Tomás Barton, Pavel Kordík
Encoding Time Series Data for Better Clustering Results. CISIS/ICEUTE/SOCO Special Sessions (2012)
Ondrej Hava, Miroslav Skrbek, Pavel Kordík
Document classification with supervised latent feature selection. WIMS (2012)
Pavel Kordík, Ján Cerný
On performance of meta-learning templates on different datasets. IJCNN (2012)
Pavel Kordík, Jan Koutník, Jan Drchal, Oleg Kovárík, Miroslav Cepek, Miroslav Snorek
Meta-learning approach to neural network optimization. Neural Networks 23 (4) (2010)
Pavel Kordík, Martin Hasaj, Marek Tvrdy, Miroslav Snorek
Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home. EMS (2009)
Tomás Siegl, Pavel Kordík, Miroslav Snorek, Pavel Calda
Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?. ICANN (1) (2008)
Daniel Novák, Ales Pilný, Pavel Kordík, Stefan Holiga, Petr Posík, R. Cerný, Richard Brzezny
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework. ICANN (1) (2008)
Ales Pilný, Pavel Kordík, Miroslav Snorek
Feature Ranking Derived from Data Mining Process. ICANN (2) (2008)
Pavel Kordík, Václav Kremen, Lenka Lhotská
The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set. ICANN (2) (2008)
Ivo Kondapaneni, Pavel Kordík, Pavel Slavík
Visualization techniques utilizing the sensitivity analysis of models. WSC (2007)
Pavel Kordík, Jan Saidl, Miroslav Snorek
Evolutionary Search for Interesting Behavior of Neural Network Ensembles. IJCNN (2006)
Pavel Kordík, Miroslav Snorek
Ensemble Techniques for Credibility Estimation of GAME Models. ICANN (2) (2005)