Zobrazeno 21 - 30
of 32 956
pro vyhledávání: '"Gori, A."'
This paper presents the first Arabic crossword puzzle generator driven by advanced AI technology. Leveraging cutting-edge large language models including GPT4, GPT3-Davinci, GPT3-Curie, GPT3-Babbage, GPT3-Ada, and BERT, the system generates distincti
Externí odkaz:
http://arxiv.org/abs/2312.01339
Autor:
Angelini, Giovanni, Ernandes, Marco, laquinta, Tommaso, Stehlé, Caroline, Simões, Fanny, Zeinalipour, Kamyar, Zugarini, Andrea, Gori, Marco
Crossword puzzles are one of the most popular word games, played in different languages all across the world, where riddle style can vary significantly from one country to another. Automated crossword resolution is challenging, and typical solvers re
Externí odkaz:
http://arxiv.org/abs/2311.15626
Publikováno v:
Proceedings of The 20th International Conference on Inductive Logic Programming (ILP 2010)
In this paper we propose a general framework to integrate supervised and unsupervised examples with background knowledge expressed by a collection of first-order logic clauses into kernel machines. In particular, we consider a multi-task learning sch
Externí odkaz:
http://arxiv.org/abs/2311.03340
Autor:
Zeinalipour, Kamyar, Gori, Marco
The electrocardiogram (ECG) is a dependable instrument for assessing the function of the cardiovascular system. There has recently been much emphasis on precisely classifying ECGs. While ECG situations have numerous similarities, little attention has
Externí odkaz:
http://arxiv.org/abs/2311.04228
Sound over-approximation methods have been proved effective for guaranteeing the absence of errors, but inevitably they produce false alarms that can hamper the programmers. Conversely, under-approximation methods are aimed at bug finding and are fre
Externí odkaz:
http://arxiv.org/abs/2310.18156
Autor:
Gori, Marco, Melacci, Stefano
By and large, the professional handling of huge data collections is regarded as a fundamental ingredient of the progress of machine learning and of its spectacular results in related disciplines, with a growing agreement on risks connected to the cen
Externí odkaz:
http://arxiv.org/abs/2309.06938
Autor:
Vétil, Rebeca, Abi-Nader, Clément, Bône, Alexandre, Vullierme, Marie-Pierre, Rohé, Marc-Michel, Gori, Pietro, Bloch, Isabelle
We address the problem of learning Deep Learning Radiomics (DLR) that are not redundant with Hand-Crafted Radiomics (HCR). To do so, we extract DLR features using a VAE while enforcing their independence with HCR features by minimizing their mutual i
Externí odkaz:
http://arxiv.org/abs/2308.11389
Early diagnosis of prostate cancer is crucial for efficient treatment. Multi-parametric Magnetic Resonance Images (mp-MRI) are widely used for lesion detection. The Prostate Imaging Reporting and Data System (PI-RADS) has standardized interpretation
Externí odkaz:
http://arxiv.org/abs/2308.09542
Understanding the character of electronic excitations is important in computational and reaction mechanistic studies, but their classification from simulations remains an open problem. Distances based on optimal transport have proven very useful in a
Externí odkaz:
http://arxiv.org/abs/2308.09118
Autor:
Cassidy, Dara, Borgne, Yann-Aël Le, Bellas, Francisco, Vuorikari, Riina, Rondin, Elise, Sharma, Madhumalti, Niewint-Gori, Jessica, Gröpler, Johanna, Gilleran, Anne, Kralj, Lidija
This report presents a set of use scenarios based on existing resources that teachers can use as inspiration to create their own, with the aim of introducing artificial intelligence (AI) at different pre-university levels, and with different goals. T
Externí odkaz:
http://arxiv.org/abs/2309.12320