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

Optimization of Wireless Sensor Node Parameters by Differential Evolution and Particle Swarm Optimization. - Pavel Krömer; Michal Prauzek; Petr Musílek; Tomás Barton (IBICA, 2014)

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)

E-BACH: Entropy-Based Clustering Hierarchy for Wireless Sensor Networks. - Petr Musílek; Pavel Krömer; Tomás Barton (WI-IAT (3), 2015)

Review of nature-inspired methods for wake-up scheduling in wireless sensor networks. - Petr Musílek; Pavel Krömer; Tomás Barton (Swarm Evol. Comput., 2015)

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

Derivative based prediction with look ahead. - Tomás Barton; Petr Musílek (IJCNN, 2016)

Day-Ahead Dynamic Thermal Line Rating Using Numerical Weather Prediction. - Tomás Barton; Petr Musílek (CCECE, 2019)

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