E-LIB Suche - Ergebnisse für: Lango, Mateusz

1

Exploiting Phrase Interrelations in Span-level Neural Appro..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Naglik, Iwo ; Lango, Mateusz - p. 222-233 , 2023

Link: https://doi.org/10.1007/..

2

GMMSampling: a new model-based, data difficulty-driven resa..:

Naglik, Iwo ; Lango, Mateusz
Machine Learning. , 2023

Link: https://doi.org/10.1007/..

3

What makes multi-class imbalanced problems difficult? An ex..:

Lango, Mateusz ; Stefanowski, Jerzy
Expert Systems with Applications. 199 (2022) - p. 116962 , 2022

Link: https://doi.org/10.1016/..

4

multi-imbalance: Open Source Python Toolbox for Multi-class..:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track; Lecture Notes in Computer Science,

Grycza, Jacek ; Horna, Damian ; Klimczak, Hanna... - p. 546-549 , 2021

Link: https://doi.org/10.1007/..

5

Time Aspect in Making an Actionable Prediction of a Convers..:

, In: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; Lecture Notes in Computer Science,

Janiszewski, Piotr ; Lango, Mateusz ; Stefanowski, Jerzy - p. 351-364 , 2021

Link: https://doi.org/10.1007/..

6

Prototypical Convolutional Neural Network for a Phrase-Base..:

, In: Communications in Computer and Information Science; Machine Learning and Principles and Practice of Knowledge Discovery in Databases,

Pluciński, Kamil ; Lango, Mateusz ; Stefanowski, Jerzy - p. 457-472 , 2021

Link: https://doi.org/10.1007/..

7

Semi-automatic construction of word-formation networks:

Lango, Mateusz ; Žabokrtský, Zdeněk ; Ševčíková, Magda
Language Resources and Evaluation. 55 (2020) 1 - p. 3-32 , 2020

Link: https://doi.org/10.1007/..

8

Tackling the Problem of Class Imbalance in Multi-class Sent..:

Lango, Mateusz
Foundations of Computing and Decision Sciences. 44 (2019) 2 - p. 151-178 , 2019

Link: https://doi.org/10.2478/..

9

Using Information on Class Interrelations to Improve Classi..:

Janicka, Małgorzata ; Lango, Mateusz ; Stefanowski, Jerzy
International Journal of Applied Mathematics and Computer Science. 29 (2019) 4 - p. 769-781 , 2019

Link: https://doi.org/10.2478/..

10

Multi-class and feature selection extensions of Roughly Bal..:

Lango, Mateusz ; Stefanowski, Jerzy
Journal of Intelligent Information Systems. 50 (2017) 1 - p. 97-127 , 2017

Link: https://doi.org/10.1007/..

11

Critic-Driven Decoding for Mitigating Hallucinations in Dat..:

Lango, Mateusz ; Dušek, Ondřej
http://arxiv.org/abs/2310.16964. , 2023

Link: http://arxiv.org/abs/231..

12

With a Little Help from the Authors: Reproducing Human Eval..:

Plátek, Ondřej ; Lango, Mateusz ; Dušek, Ondřej
http://arxiv.org/abs/2308.06527. , 2023

Link: http://arxiv.org/abs/230..

13

Three Ways of Using Large Language Models to Evaluate Chat:

Plátek, Ondřej ; Hudeček, Vojtěch ; Schmidtová, Patricia..
http://arxiv.org/abs/2308.06502. , 2023

Link: http://arxiv.org/abs/230..

14

The Problem of Coherence in Natural Language Explanations o..:

Raczyński, Jakub ; Lango, Mateusz ; Stefanowski, Jerzy
http://arxiv.org/abs/2312.11356. , 2023

Link: http://arxiv.org/abs/231..

15

Using Information on Class Interrelations to Improve Classi..:

Janicka Małgorzata ; Lango Mateusz ; Stefanowski Jerzy
https://doi.org/10.2478/amcs-2019-0057. , 2019

Link: https://doi.org/10.2478/..