Mateusz Lango

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Class Imbalance

Automatic Construction

Imbalanced Data

Top Venues

Publications

Sourabrata Mukherjee, Mateusz Lango, Zdenek Kasner, Ondrej Dusek
A Survey of Text Style Transfer: Applications and Ethical Implications. CoRR (2024)
Adam Wojciechowski, Mateusz Lango, Ondrej Dusek
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach. CoRR (2024)
Marta Lango, Borys Naglik, Mateusz Lango, Iwo Naglik
Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish. LREC/COLING (2024)
Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. CoRR (2024)
Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski
Multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers. CoRR (2024)
Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. EACL (1) (2024)
Ignacy Stepka, Mateusz Lango, Jerzy Stefanowski
A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers. Int. J. Appl. Math. Comput. Sci. 34 (1) (2024)
Iwo Naglik, Mateusz Lango
GMMSampling: a new model-based, data difficulty-driven resampling method for multi-class imbalanced data. Mach. Learn. 113 (8) (2024)
Mateusz Wozny, Mateusz Lango
Generating clickbait spoilers with an ensemble of large language models. CoRR (2024)
Damian Horna, Mateusz Lango, Jerzy Stefanowski
Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance. CoRR (2023)
Mateusz Wozny, Mateusz Lango
Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait. SemEval@ACL (2023)
Mateusz Wozny, Mateusz Lango
Generating clickbait spoilers with an ensemble of large language models. INLG (2023)
Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski
The Problem of Coherence in Natural Language Explanations of Recommendations. CoRR (2023)
Mateusz Lango, Ondrej Dusek
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. EMNLP (2023)
Damian Horna, Mateusz Lango, Jerzy Stefanowski
Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance. LIDTA (2023)
Ondrej Plátek, Mateusz Lango, Ondrej Dusek
With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector. CoRR (2023)
Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski
The Problem of Coherence in Natural Language Explanations of Recommendations. ECAI (2023)
Iwo Naglik, Mateusz Lango
Exploiting Phrase Interrelations in Span-level Neural Approaches for Aspect Sentiment Triplet Extraction. PAKDD (4) (2023)
Ondrej Plátek, Vojtech Hudecek, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek
Three Ways of Using Large Language Models to Evaluate Chat. CoRR (2023)
Mateusz Lango, Ondrej Dusek
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. CoRR (2023)
Mateusz Lango, Jerzy Stefanowski
What makes multi-class imbalanced problems difficult? An experimental study. Expert Syst. Appl. 199 (2022)
Adam Wojciechowski, Mateusz Lango
Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks. LIDTA (2022)
Mateusz Lango, Zdenek Zabokrtský, Magda Sevcíková
Semi-automatic construction of word-formation networks. Lang. Resour. Evaluation 55 (1) (2021)
Piotr Janiszewski, Mateusz Lango, Jerzy Stefanowski
Time Aspect in Making an Actionable Prediction of a Conversation Breakdown. ECML/PKDD (5) (2021)
Kamil Plucinski, Mateusz Lango, Jerzy Stefanowski
Prototypical Convolutional Neural Network for a Phrase-Based Explanation of Sentiment Classification. PKDD/ECML Workshops (1) (2021)
Jacek Grycza, Damian Horna, Hanna Klimczak, Mateusz Lango, Kamil Plucinski, Jerzy Stefanowski
multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification. ECML/PKDD (5) (2020)
Kamil Plucinski, Mateusz Lango, Michal Zimniewicz
A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping. LREC (2020)
Malgorzata Janicka, Mateusz Lango, Jerzy Stefanowski
Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm. Int. J. Appl. Math. Comput. Sci. 29 (4) (2019)
Mateusz Lango, Magda Sevcíková, Zdenek Zabokrtský
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish). LREC (2018)
Mateusz Lango, Jerzy Stefanowski
Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data. J. Intell. Inf. Syst. 50 (1) (2018)
Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information. LIDTA@ECML/PKDD (2018)
Mateusz Lango, Krystyna Napierala, Jerzy Stefanowski
Evaluating Difficulty of Multi-class Imbalanced Data. ISMIS (2017)
Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski
Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data. DS (2017)
Jerzy Blaszczynski, Mateusz Lango
Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles. ICAISC (1) (2016)
Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis. SemEval@NAACL-HLT (2016)
Mateusz Lango, Jerzy Stefanowski
The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data. NFMCP (2015)