Zobrazeno 1 - 10
of 5 759
pro vyhledávání: '"A Belaid"'
Assessing the importance of individual training samples is a key challenge in machine learning. Traditional approaches retrain models with and without specific samples, which is computationally expensive and ignores dependencies between data points.
Externí odkaz:
http://arxiv.org/abs/2412.04158
Autor:
Trinh, Van-Giang, Benhamou, Belaid
Answer Set Programming (ASP) is a declarative problem solving paradigm that can be used to encode a combinatorial problem as a logic program whose stable models correspond to the solutions of the considered problem. ASP has been widely applied to var
Externí odkaz:
http://arxiv.org/abs/2407.09015
Pairwise difference learning (PDL) has recently been introduced as a new meta-learning technique for regression. Instead of learning a mapping from instances to outcomes in the standard way, the key idea is to learn a function that takes two instance
Externí odkaz:
http://arxiv.org/abs/2406.20031
The tool mpbn offers a Python programming interface for an easy interactive editing of Boolean networks and the efficient computation of elementary properties of their dynamics, including fixed points, trap spaces, and reachability properties under t
Externí odkaz:
http://arxiv.org/abs/2403.06255
Autor:
Bouchal, Hakim, Belaid, Ahror
Segmentation of Arabic manuscripts into lines of text and words is an important step to make recognition systems more efficient and accurate. The problem of segmentation into text lines is solved since there are carefully annotated dataset dedicated
Externí odkaz:
http://arxiv.org/abs/2312.07573
Autor:
Belaid, Mohamed-Bachir, Sharma, Jivitesh, Jiao, Lei, Granmo, Ole-Christoffer, Andersen, Per-Arne, Yazidi, Anis
Tsetlin Machines (TMs) have garnered increasing interest for their ability to learn concepts via propositional formulas and their proven efficiency across various application domains. Despite this, the convergence proof for the TMs, particularly for
Externí odkaz:
http://arxiv.org/abs/2310.02005
Autor:
Amel Imene Hadj Bouzid, Sid-Ahmed Berrani, Saïd Yahiaoui, Ahror Belaid, Djamal Belazzougui, Mohand Djouad, Kawthar Bensalah, Hacene Belbachir, Qaïs Naïli, Mohamed El-Hafedh Abdi, Souhil Tliba
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract The Covid-19 pandemic has significantly spurred the development of deep learning (DL) models for the pathology automatic diagnosis based on CT scan images. However, the assumption about the generalization of the proposed models remains to be
Externí odkaz:
https://doaj.org/article/c6ae569fb0a941d6b5ed4aed3dc0be12
In theoretical models of galaxy evolution, black hole feedback is a necessary ingredient in order to explain the observed exponential decline in number density of massive galaxies. Most contemporary black hole feedback models in cosmological simulati
Externí odkaz:
http://arxiv.org/abs/2309.15898
Publikováno v:
In Medical Image Analysis (Vol. 88, p. 102868). Elsevier BV (2023)
Over the last decade, convolutional neural networks have emerged and advanced the state-of-the-art in various image analysis and computer vision applications. The performance of 2D image classification networks is constantly improving and being train
Externí odkaz:
http://arxiv.org/abs/2307.15872
Publikováno v:
Foods and Raw Materials, Vol 13, Iss 1, Pp 107-118 (2025)
Agriculture 4.0 is an opportunity for farmers to meet the current challenges in food production. It has become necessary to adopt a set of agricultural practices based on advanced technologies. Agriculture 4.0 enables farms to create added value by c
Externí odkaz:
https://doaj.org/article/d8d1353cf37f427fb8a5dd1dec3dc4e8