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07:00 - 09:00
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Welcome and introduction to the symposium |
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09:30 - 11:00
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Unsupervised Machine Learning: Theory and Applications - Nistor Grozavu, Full Professor, CY Cergy Paris University |
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11:00 - 11:20
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Coffee break |
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11:20 - 12:30
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Manifold Learning: Unraveling Complex Data Structures - Nicoleta Rogovschi, Associate Professor HdR at LIPADE, Université de Paris |
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12:30 - 14:00
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Lunch break |
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14:00 - 15:00
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Frugal Multi-Modal Learning: Efficient Approaches for Resource- Constrained Environments - Issam Falih, Associate Professor at Université Clermont Auvergne |
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15:00 - 16:00
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Learning Mixtures-of-Experts from Heterogeneous and High-Dimensional Data - Faiciel Chamroucki, Full Professor at IRT SystemX |
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16:00 - 16:20
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Coffee break |
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16:20 - 17:15
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Recommendation Systems: Enhancing User Experience through Multi- Modal Approaches - Yasser Khalafaoui, PhD Student at ETIS, CY Cergy Paris University |
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17:15 - 18:35
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Contextualization Processes in Multi-Modal Learning - Georgeta Cislaru, Full Professor at Sorbonne Nouvelle University |
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