Leak, cheat, repeat: Data contamination and evaluation malpractices in closed-source LLMs S Balloccu, P Schmidtová, M Lango, O Dušek EACL 2024, 2024 | 157 | 2024 |
Multi-class and feature selection extensions of roughly balanced bagging for imbalanced data M Lango, J Stefanowski Journal of Intelligent Information Systems 50, 97-127, 2018 | 104 | 2018 |
What makes multi-class imbalanced problems difficult? An experimental study M Lango, J Stefanowski Expert Systems with Applications 199, 116962, 2022 | 75 | 2022 |
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 | 70 | 2020 |
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 | 58 | 2019 |
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 | 38 | 2019 |
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 | 19 | 2022 |
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 | 19 | 2016 |
Evaluating difficulty of multi-class imbalanced data M Lango, K Napierala, J Stefanowski Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017 …, 2017 | 14 | 2017 |
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation M Lango, O Dušek EMNLP 2023, 2023 | 13 | 2023 |
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 | 13 | 2018 |
Semi-automatic construction of word-formation networks M Lango, Z Žabokrtský, M Ševčíková Language Resources and Evaluation 55 (1), 3-32, 2021 | 12 | 2021 |
Time aspect in making an actionable prediction of a conversation breakdown P Janiszewski, M Lango, J Stefanowski Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 9 | 2021 |
multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification J Grycza, D Horna, H Klimczak, M Lango, K Pluciński, J Stefanowski Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 8 | 2021 |
Discovering minority sub-clusters and local difficulty factors from imbalanced data M Lango, D Brzezinski, S Firlik, J Stefanowski Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017 | 8 | 2017 |
Prototypical convolutional neural network for a phrase-based explanation of sentiment classification K Pluciński, M Lango, J Stefanowski Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 7 | 2021 |
SOUP-Bagging: a new approach for multi-class imbalanced data classification M Lango, J Stefanowski Proceedings of the 2nd Polish Conference on Artificial Intelligence PP-RAI'19, 2019 | 7 | 2019 |
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 | 7 | 2018 |
Diversity analysis on imbalanced data using neighbourhood and roughly balanced bagging ensembles J Błaszczyński, M Lango Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 7 | 2016 |
The usefulness of roughly balanced bagging for complex and high-dimensional imbalanced data M Lango, J Stefanowski New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP …, 2016 | 6 | 2016 |