Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Kovacs, György"'
Autor:
Timár, Gábor, Kovács, György
Decision tree and random forest classification and regression are some of the most widely used in machine learning approaches. Binary decision tree implementations commonly use conditioning in the form 'feature $\leq$ (or $<$) threshold', with the th
Externí odkaz:
http://arxiv.org/abs/2312.10708
Autor:
Pirinen, Aleksis, Abid, Nosheen, Paszkowsky, Nuria Agues, Timoudas, Thomas Ohlson, Scheirer, Ronald, Ceccobello, Chiara, Kovács, György, Persson, Anders
Cloud formations often obscure optical satellite-based monitoring of the Earth's surface, thus limiting Earth observation (EO) activities such as land cover mapping, ocean color analysis, and cropland monitoring. The integration of machine learning (
Externí odkaz:
http://arxiv.org/abs/2311.14024
Autor:
Kovács, György, Fazekas, Attila
Addressing the reproducibility crisis in artificial intelligence through the validation of reported experimental results is a challenging task. It necessitates either the reimplementation of techniques or a meticulous assessment of papers for deviati
Externí odkaz:
http://arxiv.org/abs/2311.07541
Autor:
Fazekas, Attila, Kovács, György
Binary classification is a fundamental task in machine learning, with applications spanning various scientific domains. Whether scientists are conducting fundamental research or refining practical applications, they typically assess and rank classifi
Externí odkaz:
http://arxiv.org/abs/2310.12527
In this paper, we propose a methodology for task 10 of SemEval23, focusing on detecting and classifying online sexism in social media posts. The task is tackling a serious issue, as detecting harmful content on social media platforms is crucial for m
Externí odkaz:
http://arxiv.org/abs/2304.12847
Autor:
Abid, Nosheen, Noman, Md Kislu, Kovács, György, Islam, Syed Mohammed Shamsul, Adewumi, Tosin, Lavery, Paul, Shafait, Faisal, Liwicki, Marcus
Publikováno v:
In Ecological Informatics November 2024 83
Autor:
Sabry, Sana Sabah, Adewumi, Tosin, Abid, Nosheen, Kovacs, György, Liwicki, Foteini, Liwicki, Marcus
We investigate the performance of a state-of-the art (SoTA) architecture T5 (available on the SuperGLUE) and compare with it 3 other previous SoTA architectures across 5 different tasks from 2 relatively diverse datasets. The datasets are diverse in
Externí odkaz:
http://arxiv.org/abs/2202.05690
Autor:
Csóka, Ádám, Kovács, György, Ács, Virág, Matics, Zsolt, Gerencsér, Zsolt, Szendrő, Zsolt, Nagy, István, Petneházy, Örs, Repa, Imre, Moizs, Mariann, Donkó, Tamás
Various applications of farm animal imaging are based on the estimation of weights of certain body parts and cuts from the CT images of animals. In many cases, the complexity of the problem is increased by the enormous variability of postures in CT i
Externí odkaz:
http://arxiv.org/abs/2112.15095
Autor:
Kovács, György, Fazekas, Attila
In the last 15 years, the segmentation of vessels in retinal images has become an intensively researched problem in medical imaging, with hundreds of algorithms published. One of the de facto benchmarking data sets of vessel segmentation techniques i
Externí odkaz:
http://arxiv.org/abs/2111.03853