Study on the influence of diversity and quality in entropy based collaborative clustering
The aim of collaborative clustering is to enhance the performances of clustering algorithms
by enabling them to work together and exchange their information to tackle difficult data sets …
by enabling them to work together and exchange their information to tackle difficult data sets …
Grid-based approach to determining parameters of the DBSCAN algorithm
A Starczewski, A Cader - Artificial Intelligence and Soft Computing: 19th …, 2020 - Springer
Clustering is a very important technique used in many fields in order to deal with large
datasets. In clustering algorithms, one of the most popular approaches is based on an …
datasets. In clustering algorithms, one of the most popular approaches is based on an …
Contributions to modern unsupervised learning: Case studies of multi-view clustering and unsupervised Deep Learning
J Sublime - 2021 - hal.science
This document is the manuscript presented in order to obtain the" Habilitation à Diriger des
Recherches" of Sorbonne University (France), prepared at ISEP Engineering School where I …
Recherches" of Sorbonne University (France), prepared at ISEP Engineering School where I …
A novel explainable recommender for investment managers
T Rutkowski, R Nielek, D Rutkowska… - … Conference on Artificial …, 2020 - Springer
This paper presents a novel recommendation system for investment managers using real
data from asset management companies. The recommender can be viewed as a fuzzy …
data from asset management companies. The recommender can be viewed as a fuzzy …
Learning from Data and Learners
Y Foucade - 2022 - theses.hal.science
This thesis focuses on collaborative learning. This machine learning paradigm is one of the
many methods that have emerged in recent years in an attempt to efficiently mine the …
many methods that have emerged in recent years in an attempt to efficiently mine the …
[PDF][PDF] Ecole doctorale: CY CERGY PARIS UNIVERSITE
N Grozavu, F SURMA - 2022 - sciences-patrimoine.org
Les besoins identifiés par la commission EU sur la question de l'impact du changement
climatique sur le patrimoine se focalisent sur le développement de plan d'exploitation des …
climatique sur le patrimoine se focalisent sur le développement de plan d'exploitation des …
[PDF][PDF] Thesis subject Proposal
N Grozavu, LI Xiaoli - etis-lab.fr
In recent years, the in the Artificial Intelligence (AI) community, a lot of research and
applicative works have appeared dealing with the learning of neural networks architectures …
applicative works have appeared dealing with the learning of neural networks architectures …
[PDF][PDF] Projet ANR (2020-2024) Hérelles: un cadre collaboratif uni é pour l'analyse interactive de données temporelles
Face à la surabondance des données temporelles arrivant de façon quasi-continue, mais
aussi à leur complexité et à celle des phénomènes étudiés, définir les informations …
aussi à leur complexité et à celle des phénomènes étudiés, définir les informations …
Gas Turbine Fault Detection Using a Self-Organising Map
KH Hui, CS Ooi, MH Lim, MD Yusoff… - Vibration Engineering for …, 2021 - Springer
Turbomachinery condition monitoring and fault detection in the Malaysian oil and gas
industry is currently done by monitoring the parameters of the equipment, such as a gas …
industry is currently done by monitoring the parameters of the equipment, such as a gas …