[DKE] Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach
Semantic-Based Approaches for Automating Feature Engineering and Enhancing Machine Learning Interpretability
« Un jeune chercheur en IA peut se voir offrir par les Gafam jusqu’à 130 000 euros par an » : dans les écoles d’ingénieurs, les profs, attirés par le privé, manquent à l’appel
An Optimization Approach for Denormalized Data Models in Distributed Environments Based on a Multidimensional Cost Model [Directed PhD thesis]
[DKE] Automated mapping between SDG indicators and open data: An LLM-augmented knowledge graph approach
Semantic-Based Approaches for Automating Feature Engineering and Enhancing Machine Learning Interpretability
« Un jeune chercheur en IA peut se voir offrir par les Gafam jusqu’à 130 000 euros par an » : dans les écoles d’ingénieurs, les profs, attirés par le privé, manquent à l’appel
An Optimization Approach for Denormalized Data Models in Distributed Environments Based on a Multidimensional Cost Model [Directed PhD thesis]
FACT-DM : A Framework for Automated Cost-Based Data Model Transformation [EDBT’24 & BDA’24] NoSQL Recherche FACT-DM : A Framework for Automated Cost-Based Data Model Transformation [EDBT’24 & BDA’24]
Graph DB Recherche admin Deep Learning, Graph DB, Knowledge Graphs, Neo4j, Scene Graph Generation NeoSGG: A Scene Graph Generation Framework for Video-Surveillance Tasks [EDBT’24 & BDA’24]
Graph DB Recherche admin Graph DB, Knowledge Graphs, Neo4j, ODD, OpenData Modélisation des données ouvertes au service des ODD : application aux événements sportifs en ville [EGC’24 & BDA’23]
IR PhD Recherche admin BERT, Deep Learning, Document Expansion, Elasticsearch, IR, PhD Unsupervised Semantic Expansion of Specialized Long Documents for Information Retrieval [Directed PhD thesis]
Graph DB Recherche Nicolas Travers Graph DB, GraphStream, Knowledge Graphs, MAP Inference, Neo4j, Temporal Markov Logic Networks NeoMaPy: a Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks (IJCAI’23 & CIKM’23)
PhD Recherche Nicolas Travers Big Data, drought forecasting, Earth observation, Graph Neural Network, Multivariate Time series forecasting, Natural disasters On the building of a spatio-temporal heterogeneous graph-based architecture using big data: Application for drought forecasting
PhD Recherche Nicolas Travers bidding strategy, click prediction, rare event prediction, real-time auctions, reinforcement learning, state representation learning Apprendre à enchérir : prédiction d’évènement rare et choix de stratégie.
Graph DB Projects Recherche Nicolas Travers Graph DB, Neo4j, NoSQL, Tourism Propagation Measure on Circulation Graphs for Tourism Behavior Analysis
Vous devez être connecté pour poster un commentaire.