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Mateusz Lango
Mateusz Lango
Zweryfikowany adres z cs.put.poznan.pl
Tytuł
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Cytowane przez
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Multi-class and feature selection extensions of roughly balanced bagging for imbalanced data
M Lango, J Stefanowski
Journal of Intelligent Information Systems 50 (1), 97-127, 2018
672018
Using information on class interrelations to improve classification of multiclass imbalanced data: a new resampling algorithm
M Janicka, M Lango, J Stefanowski
International Journal of Applied Mathematics and Computer Science 29 (4), 2019
282019
Relationship between the session-RPE and external measures of training load in youth soccer training
J Marynowicz, K Kikut, M Lango, D Horna, M Andrzejewski
The Journal of Strength & Conditioning Research 34 (10), 2800-2804, 2020
182020
Tackling the problem of class imbalance in multi-class sentiment classification: An experimental study
M Lango
Foundations of Computing and Decision Sciences 44 (2), 151-178, 2019
182019
PUT at SemEval-2016 Task 4: The ABC of Twitter sentiment analysis
M Lango, D Brzezinski, J Stefanowski
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
142016
Semi-automatic construction of word-formation networks (for polish and spanish)
M Lango, M Ševčíková, Z Žabokrtský
Proceedings of the Eleventh International Conference on Language Resources …, 2018
132018
Semi-automatic construction of word-formation networks
M Lango, Z Žabokrtský, M Ševčíková
Language Resources and Evaluation 55 (1), 3-32, 2021
72021
Discovering minority sub-clusters and local difficulty factors from imbalanced data
M Lango, D Brzezinski, S Firlik, J Stefanowski
International Conference on Discovery Science, 324-339, 2017
72017
Evaluating difficulty of multi-class imbalanced data
M Lango, K Napierala, J Stefanowski
International Symposium on Methodologies for Intelligent Systems, 312-322, 2017
72017
Diversity analysis on imbalanced data using neighbourhood and roughly balanced bagging ensembles
J Błaszczyński, M Lango
International Conference on Artificial Intelligence and Soft Computing, 552-562, 2016
62016
SOUP-Bagging: a new approach for multi-class imbalanced data classification
M Lango, J Stefanowski
PP-RAI '19: Polskie Porozumienie na Rzecz Sztucznej Inteligencji,, 2019
5*2019
The usefulness of roughly balanced bagging for complex and high-dimensional imbalanced data
M Lango, J Stefanowski
International Workshop on New Frontiers in Mining Complex Patterns, 93-107, 2015
52015
Imweights: classifying imbalanced data using local and neighborhood information
M Lango, D Brzezinski, J Stefanowski
Second International Workshop on Learning with Imbalanced Domains: Theory …, 2018
42018
What makes multi-class imbalanced problems difficult? An experimental study
M Lango, J Stefanowski
Expert Systems with Applications 199, 116962, 2022
32022
Predicting ratings of perceived exertion in youth soccer using decision tree models
J Marynowicz, M Lango, D Horna, K Kikut, M Andrzejewski
Biology of Sport 39 (2), 245-252, 2022
32022
Time Aspect in Making an Actionable Prediction of a Conversation Breakdown
P Janiszewski, M Lango, J Stefanowski
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
12021
multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification
J Grycza, D Horna, H Klimczak, M Lango, K Pluciński, J Stefanowski
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
12020
Applicability of Roughly Balanced Bagging for Complex Imbalanced Data
M Lango, J Stefanowski
Proceedings of the 4th Workshop on New Frontiers in Mining Complex Patterns, 2015
12015
Can reinforcement learning agents be e-teachers? Application of machine learning in education
M Andrzejewski, A Izemski, P Linkowski, K Plucinski, E Szpotanski, ...
PP-RAI '22: Polskie Porozumienie na Rzecz Sztucznej Inteligencji, 2022
2022
Analiza źródeł trudności wieloklasowych danych niezbalansowanych oraz ich wykorzystanie do poprawy metod klasyfikacji
M Lango
Poznan University of Technology, 2022
2022
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