Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Apprentissage semi-supervisé"'
Autor:
Dadoun, Hind
Publikováno v:
Artificial Intelligence [cs.AI]. Université Côte d'Azur, 2022. English. ⟨NNT : 2022COAZ4071⟩
The focus of our study is to analyze how machine learning tools can be used for the automatic interpretation of abdominal ultrasound images, with a major setback : the absence of curated, annotated and openly available abdominal US databases. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::2c837d3e1cddac94a7cf58b02f653557
https://inria.hal.science/tel-03984539
https://inria.hal.science/tel-03984539
Autor:
Kamalov, Mikhail
Publikováno v:
Artificial Intelligence [cs.AI]. Université Côte d'Azur, 2022. English. ⟨NNT : 2022COAZ4079⟩
Nowadays, graph-based semi-supervised learning (GB-SSL) is a fast-growing area of classifying nodes in a graph with an extremely low number of labelled nodes. However, the GB-SSL algorithms have two general limitations: the first is the memory/time c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::e2fbc41a90b66fe7361b48636605f659
https://theses.hal.science/tel-04042245/document
https://theses.hal.science/tel-04042245/document
Autor:
Gonzalez, Jordan
Publikováno v:
Traitement du signal et de l'image [eess.SP]. HESAM Université, 2022. Français. ⟨NNT : 2022HESAE052⟩
The field of affective computing, which has been growing rapidly over the last few decades, aims to create new interactive systems that are able to perceive the emotional state of their human interlocutors and adapt to them automatically.It is quite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10147::10be839d06bc93ad4e4a23449e42291c
https://pastel.hal.science/tel-04060780
https://pastel.hal.science/tel-04060780
Autor:
Vargas Vieyra, Mariana
Publikováno v:
Artificial Intelligence [cs.AI]. Université de Lille, 2021. English. ⟨NNT : 2021LILUB013⟩
Computer Science [cs]. Inria Lille Nord Europe-Laboratoire CRIStAL-Université de Lille, 2021. English. ⟨NNT : ⟩
Computer Science [cs]. Inria Lille Nord Europe-Laboratoire CRIStAL-Université de Lille, 2021. English. ⟨NNT : ⟩
In the last few years Machine Learning methods have been incorporated in various Natural Language Processing systems.As a result, these methods have shown impressive results in a variety of tasks across multiple domains, in particular, through superv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::76820660b85abbb14d1b5bd7e4d41c38
https://theses.hal.science/tel-03539532/file/These_VARGAS_VIEYRA_Mariana.pdf
https://theses.hal.science/tel-03539532/file/These_VARGAS_VIEYRA_Mariana.pdf
Autor:
Dreveton, Maximilien
Publikováno v:
Artificial Intelligence [cs.AI]. Université Côte d'Azur, 2022. English. ⟨NNT : 2022COAZ4011⟩
The massive explosion of data collection led to a multi-disciplinary interest in the statistical inference of complex systems. In these systems, agents interact by pairs. Since similar agents tend to interact similarly, an important unsupervised lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::460199b36391dad6c27c10a2e961094b
https://theses.hal.science/tel-03667090
https://theses.hal.science/tel-03667090
Autor:
Castillo-Navarro, Javiera
Publikováno v:
Computer Vision and Pattern Recognition [cs.CV]. Université de Bretagne Sud, 2022. English. ⟨NNT : 2022LORIS622⟩
Earth observation (EO) plays a major role in the way we understand our planet and its dynamics. While plenty of data are available, they cannot be processed by humans only, so artificial intelligence has emerged as a solution to achieve automatic ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b616d5a23bd162004f39661293aa154d
https://theses.hal.science/tel-03909116/file/2022theseCastillo-NavarroJ.pdf
https://theses.hal.science/tel-03909116/file/2022theseCastillo-NavarroJ.pdf
Autor:
Pauletto, Loïc
Deep learning applications are rapidly expanding and show no signs of slowing down. Neural network topologies are becoming larger and more complex for challenging real-life problems.This increased complexity necessitates more time and expertise from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::b796a2a699e98dae30c7bd7ba9617f4d
https://theses.hal.science/tel-03921641
https://theses.hal.science/tel-03921641
Autor:
Yu, Tong
Publikováno v:
Bioinformatics [q-bio.QM]. Université de Strasbourg, 2021. English. ⟨NNT : 2021STRAD051⟩
Endoscopic video streams, as rich sources of information on the operating field, show great potential for exploitation by deep learning-based computer vision algorithms. Such algorithms can indeed serve as the foundation for context-aware surgery sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1398::67180cb64b15a8fa00270fbd99b32a72
https://theses.hal.science/tel-03884631/file/yu_tong_2021_269.pdf
https://theses.hal.science/tel-03884631/file/yu_tong_2021_269.pdf
Autor:
Yu, Tong
Publikováno v:
Bioinformatics [q-bio.QM]. Université de Strasbourg, 2021. English. ⟨NNT : 2021STRAD051⟩
Endoscopic video streams, as rich sources of information on the operating field, show great potential for exploitation by deep learning-based computer vision algorithms. Such algorithms can indeed serve as the foundation for context-aware surgery sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::67180cb64b15a8fa00270fbd99b32a72
https://theses.hal.science/tel-03884631/file/yu_tong_2021_269.pdf
https://theses.hal.science/tel-03884631/file/yu_tong_2021_269.pdf
Publikováno v:
BMVC 2021 : The British Machine Vision Conference
BMVC 2021 : The British Machine Vision Conference, Nov 2021, virtuel, United Kingdom
BMVC 2021 : The British Machine Vision Conference, Nov 2021, virtuel, United Kingdom
International audience; Class Incremental Learning (CIL) consists in training a model iteratively with limited amount of data from few classes that will never be seen again, resulting in catastrophic forgetting and lack of diversity. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::69e2ed25cb54e1d832a981b4dcb14499
https://hal.archives-ouvertes.fr/hal-03464466
https://hal.archives-ouvertes.fr/hal-03464466