1.

Multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers / Jerzy Stefanowski (WIiT), Mateusz Lango (WIiT), Ignacy Stępka (WIiT) // International Journal of Applied Mathematics and Computer Science - 2024, vol. 34, no. 1, p. 119-133

Scientific article 100 1,6

2.

GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data / Iwo Naglik (WIiT), Mateusz Lango (WIiT) // Machine Learning - 2024, vol. 113, p. 5183-5202

Scientific article 140 4,3

3.

Within-Subject Principal Component Analysis of External Training Load and Intensity Measures in Youth Soccer Training / Jakub Marynowicz, Mateusz Lango (WIiT), Damian Horna (WIiT), Karol Kikut, Marek Konefał, Paweł Chmura, Marcin Andrzejewski // Journal of Strength and Conditioning Research - 2023, vol. 37, no. 12, p. 2411-2416

Scientific article 100 2,5

4.

Predicting ratings of perceived exertion in youth soccer using decision tree models / Jakub Marynowicz, Mateusz Lango (WIiT), Damian Horna (WIiT), Karol Kikut, Marcin Andrzejewski // Biology of Sport - 2022, vol. 39, no. 2, p. 245-252

Scientific article 140 5,6

5.

What makes multi-class imbalanced problems difficult? An experimental study / Mateusz Lango (WIiT), Jerzy Stefanowski (WIiT) // Expert Systems with Applications - 2022, vol. 199, p. 116962-1-116962-13

Scientific article 140 8,5

6.

Semi-Automatic Construction of Word-Formation Networks / Mateusz Lango (WIiT), Zdeněk Žabokrtský, Magda Ševčíková // Language Resources and Evaluation - 2021, vol. 55, p. 3-32

Scientific article 70 1,835

7.

Relationship Between the Session-RPE and External Measures of Training Load in Youth Soccer Training / Jakub Marynowicz, Karol Kikut, Mateusz Lango (WIiT), Damian Horna (WIiT), Marcin Andrzejewski // Journal of Strength and Conditioning Research - 2020, vol. 34, no. 10, p. 2800-2804

Scientific article 100 3,775

8.

Tackling the Problem of Class Imbalance in Multi-class Sentiment Classification: An Experimental Study / Mateusz Lango (WI) // Foundations of Computing and Decision Sciences - 2019, vol. 44, no. 2, p. 151-178

Scientific article 20

9.

Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm / Małgorzata Janicka (WI), Mateusz Lango (WI), Jerzy Stefanowski (WI) // International Journal of Applied Mathematics and Computer Science - 2019, vol. 29, no. 4, p. 769-781

Scientific article 100 0,967

10.

Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data / Mateusz Lango (WI), Jerzy Stefanowski (WI) // Journal of Intelligent Information Systems - 2018, vol. 50, iss. 1, p. 97-127

Scientific article 20 1,589