Pavel Kordík

According to our database, Pavel Kordík authored at least 47 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders.

Petr Kasalický, Rodrigo Alves, Pavel Kordík

Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023

Personalised Recommendations and Profile Based Re-ranking Improve Distribution of Student Opportunities.

Cenek Zid, Pavel Kordík, Stanislav Kuznetsov

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs.

Stanislav Kuznetsov, Pavel Kordík

Proceedings of the New Trends in Database and Information Systems, 2023

2022

Scalable Linear Shallow Autoencoder for Collaborative Filtering.

Vojtech Vancura, Rodrigo Alves, Petr Kasalický, Pavel Kordík

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

RepSys: Framework for Interactive Evaluation of Recommender Systems.

Jan Safarík, Vojtech Vancura, Pavel Kordík

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning to Optimize with Dynamic Mode Decomposition.

Petr Simánek, Daniel Vasata, Pavel Kordík

Proceedings of the International Joint Conference on Neural Networks, 2022

Trend and Seasonality Elimination from Relational Data.

Jan Motl, Pavel Kordík

Proceedings of the Engineering Applications of Neural Networks, 2022

Discriminant Analysis on a Stream of Features.

Jan Motl, Pavel Kordík

Proceedings of the Engineering Applications of Neural Networks, 2022

Offline evaluation of the serendipity in recommendation systems.

Daniil Pastukhov, Stanislav Kuznetsov, Vojtech Vancura, Pavel Kordík

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

Adapting the Size of Artificial Neural Networks Using Dynamic Auto-Sizing.

Vojtech Cahlík, Pavel Kordík, Miroslav Cepek

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

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

Proceedings of the 21st Conference Information Technologies, 2021

Aggregate Function Generalization to Temporal Data.

Jan Motl, Pavel Kordík

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Stratified Cross-Validation on Multiple Columns.

Jan Motl, Pavel Kordík

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP).

Vojtech Vancura, Pavel Kordík

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks.

Alexander Kovalenko, Pavel Kordík, Magda Friedjungová

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.

Tomás Chobola, Daniel Vasata, Pavel Kordík

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2019

Chameleon 2: An Improved Graph-Based Clustering Algorithm.

Tomás Barton, Tomas Bruna, Pavel Kordík

ACM Trans. Knowl. Discov. Data, 2019

Learning on a Stream of Features with Random Forest.

Jan Motl, Pavel Kordík

Proceedings of the 19th Conference Information Technologies, 2019

2018

Discovering predictive ensembles for transfer learning and meta-learning.

Pavel Kordík, Ján Cerný, Tomás Frýda

Mach. Learn., 2018

Violation of Independence of Irrelevant Alternatives in Friedman's test.

Jan Motl, Pavel Kordík

Proceedings of the 18th Conference Information Technologies, 2018

Do We Need to Observe Features to Perform Feature Selection?

Jan Motl, Pavel Kordík

Proceedings of the 18th Conference Information Technologies, 2018

2017

Foreign Key Constraint Identification in Relational Databases.

Jan Motl, Pavel Kordík

Proceedings of the 17th Conference on Information Technologies, 2017

Scalability of predictive ensembles.

Pavel Kordík, Tomás Frýda, Miroslav Snorek, Miroslav Cepek

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

2016

Neural Turing Machine for sequential learning of human mobility patterns.

Jan Tkacik, Pavel Kordík

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Reducing cold start problems in educational recommender systems.

Stanislav Kuznetsov, Pavel Kordík, Tomas Rehorek, Josef Dvorak, Petr Kroha

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

MoCham: Robust Hierarchical Clustering Based on Multi-objective Optimization.

Tomás Barton, Tomas Bruna, Pavel Kordík

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Using Multi-Objective Optimization for the Selection of Ensemble Members.

Tomás Barton, Pavel Kordík

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Evaluation of Relative Indexes for Multi-objective Clustering.

Tomás Barton, Pavel Kordík

Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Mining Skills from Educational Data for Project Recommendations.

Pavel Kordík, Stanislav Kuznetsov

Proceedings of the International Joint Conference, 2015

2014

Building predictive models in two stages with meta-learning templates optimized by genetic programming.

Pavel Kordík, Ján Cerný

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

2013

Supervised two-step feature extraction for structured representation of text data.

Ondrej Hava, Miroslav Skrbek, Pavel Kordík

Simul. Model. Pract. Theory, 2013

2012

Document classification with supervised latent feature selection.

Ondrej Hava, Miroslav Skrbek, Pavel Kordík

Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

A Soft Computing Approach to Knowledge Flow Synthesis and Optimization.

Tomas Rehorek, Pavel Kordík

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Encoding Time Series Data for Better Clustering Results.

Tomás Barton, Pavel Kordík

Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

On performance of meta-learning templates on different datasets.

Pavel Kordík, Ján Cerný

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Contextual Latent Semantic Networks used for Document Classification.

Ondrej Hava, Miroslav Skrbek, Pavel Kordík

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

Max-min ant system with linear memory complexity.

Oleg Kovárík, Pavel Kordík

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Self-organization of Supervised Models.

Pavel Kordík, Ján Cerný

Proceedings of the Meta-Learning in Computational Intelligence, 2011

2010

Meta-learning approach to neural network optimization.

Pavel Kordík, Jan Koutník, Jan Drchal, Oleg Kovárík, Miroslav Cepek, Miroslav Snorek

Neural Networks, 2010

2009

Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home.

Pavel Kordík, Martin Hasaj, Marek Tvrdy, Miroslav Snorek

Proceedings of the EMS 2009, 2009

2008

Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?.

Tomás Siegl, Pavel Kordík, Miroslav Snorek, Pavel Calda

Proceedings of the Artificial Neural Networks, 2008

Feature Ranking Derived from Data Mining Process.

Ales Pilný, Pavel Kordík, Miroslav Snorek

Proceedings of the Artificial Neural Networks, 2008

Analysis of Vestibular-Ocular Reflex by Evolutionary Framework.

Daniel Novák, Ales Pilný, Pavel Kordík, Stefan Holiga, Petr Posík, R. Cerný, Richard Brzezny

Proceedings of the Artificial Neural Networks, 2008

The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set.

Pavel Kordík, Václav Kremen, Lenka Lhotská

Proceedings of the Artificial Neural Networks, 2008

2007

Visualization techniques utilizing the sensitivity analysis of models.

Ivo Kondapaneni, Pavel Kordík, Pavel Slavík

Proceedings of the Winter Simulation Conference, 2007

2006

Evolutionary Search for Interesting Behavior of Neural Network Ensembles.

Pavel Kordík, Jan Saidl, Miroslav Snorek

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Ensemble Techniques for Credibility Estimation of GAME Models.

Pavel Kordík, Miroslav Snorek

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005