Areas: Data Mining and Knowledge Discovery – Machine and Deep Learning – Network Science – Information Retrieval – Knowledge Management – Artificial Intelligence
Main Topics (past and present, in any order): Learning and Mining from Text data, Learning and Mining from Social Networks and Information Networks, Learning and Mining from Image and Audio data, Clustering of Unstructured and Semistructured Text Data, Uncertain Data Mining, Subspace Clustering and Clustering Ensembles, Web Personalization and Recommender Systems, Semantic Relatedness Detection in XML Data, Similarity Detection in Time Series Databases, Web Wrapping and Print-oriented Document Wrapping
A few titles from very recently completed theses:
- Estensione dei modelli di Graph Neural Networks per Grafi Multilayer mediante il supporto di Deep Graph Library
- Estrazione di feature non supervisionata e modelli Transformer per la predizione di anomalie e malattie respiratorie
- Modularity-driven Ensemble-based Multilayer Community Detection with Node Embeddings
- Metodi di Generative Adversarial Networks per Grafi
- Community Evolution Discovery: Methods for Attributed Networks
- Diversity-aware Budgeted Competitive Profit Maximization: effetti della diversificazione del seed set in influence maximization competitivo e non submodulare
- Decentralizzazione di social network in federazione di istanze: modelli esplorativi e generativi di profilazione in Mastodon
- Confronto ed Analisi di Modelli di Deep Natural Language Understanding per task di Classification e Summarization
- Segment-Based Document Clustering con Word Embeddings e Topic Modeling
- Online data processing con Apache Kafka e Spark Structured Stream: casi di studio inerenti la ricerca di informazioni su app Immuni
- BERT based Deep Learning architecture for NLP Tasks
- Natural Language Generation: from Recurrent Neural Networks to Transformers
- Un approccio di deep learning per il riconoscimento delle emozioni dalle immagini