“I am currently a Research Fellow in the Data Science department at EURECOM, in the Data2Knowledge group. I got a PhD in Computer Science in 2019, with a thesis on Knowledge-based music recommendation: Models, algorithms and exploratory search. In 2021, I obtained an ANR JCJC as project coordinator for the kFLOW project. My research fields involve Knowledge Graphs, Knowledge Engineering and Recommender Systems. Currently working on Odeuropa and kFLOW projects.”
Pasquale’s Publications
The MUSTI challenge@MediaEval 2023 - Multimodal Understanding of Smells in Texts and Images with Zero-shot Evaluation
Stories of love and violence: zero-shot interesting events' classification for unsupervised TV series summarization
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization
Material for the paper MIDI2vec: Learning MIDI Embeddings for Reliable Prediction of Symbolic Music Metadata (Version 1.0)
Representing Complex Knowledge for Exploration and Recommendation: The Case of Classical Music Information
Une nouvelle méthode ensembliste pour la reconnaissance et la désambiguïsation d'entités nommées en utilisant des réseaux de neurones
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion
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