IC | ECCO - 2021

Workshop on Machine Learning and Applications

22 OCTOBER 2021, CHISINAU

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WHAT IS THE AIM OF THE WORKSHOP?

Where The ICT Scientists and Engineers Meet

This International Workshop will cover original and pioneering contributions, theory as well as applications on Machine Leanring, and aim at an inspiring discussion on the recent progress and the future development.

Machine learning, which is one of the fields of study of Artificial Intelligence, is a scientific discipline that uses statistical approaches to give computers the ability to “learn” from data, i. e. to improve their performance in solving tasks without being explicitly programmed for each. Machine Learning is concerned with the development, analysis and implementation of automated methods that allow a machine or application to evolve through a learning process, and thus to perform tasks that are difficult or impossible to perform by more conventional algorithms.
Learning is an ill-posed problem and with finite data each algorithm converges to a different solution and fails under variant circumstances. Learners based on different paradigms can be combined for improved accuracy. Each learning method assumes a certain model that comes with a set of assumptions which may lead to error if the assumptions do not hold.
In this workshop, the reasons for combining learning models and the main methods for creating and combining will be presented. Also, the effectiveness of these methods will be discussed considering the concepts of diversity and selection of these approaches.

Who's Speaking?

Shahriar Hassan
Shahriar Hassan
Université Clermont Auvergne, Clermont-Ferrand, France
...
Marc Chevallier
Marc Chevallier
Sorbonne Paris Nord University, France
...
Nistor Grozavu
Nistor Grozavu
Associate Professor | Paris 13 University, France
Received his Master of Computer Science degree from Marseille II University in 2006 in Fundamental Informatics....
Nicoleta Rogovschi
Nicoleta Rogovschi
Associate Professor | LIPADE, Paris Descartes University, France
She received her Master of Computer Science degree from Paris 13 University in 2006 in Machine Learning....
Issam Falih
Issam Falih
Associate Professor | Clermont-Auvergne University, France
Member of the DSI (Data, Services, Intelligence) of the LIMOS laboratory. ...

Workshop schedule

Friday, 22 October 2021

#SessionSpeaker(s)TimeAffiliation
1Unsupervised Collaborative Learning for Text MiningNistor Grozavu 13:30 AMCY Cergy Paris University, France
2Automatic multimodal emotion recognitionIssam Falih 14:00 AMUniversité Clermont Auvergne, France
3Co-clustering for Data AnonymizationNicoleta Rogovschi 14:30 AMParis Descartes University, Paris, France
4Management of fuzzy-duplicate for data integration with machine learningMarc Chevallier 15:30 AMorbonne Paris Nord University, France
5Machine Learning algorithms for neurotoxicity biomarkers identificationShahriar Hassan 16:00 PMUniversité Clermont Auvergne, Clermont-Ferrand, France