Feature-driven Time Series Clustering. - Donato Tiano; Angela Bonifati; Raymond T. Ng (EDBT, 2021)

Human-Centered Clustering for Time Series Data. - Donato Tiano; Angela Bonifati; Raymond T. Ng (DaSH@KDD, 2021)

FeatTS: Feature-based Time Series Clustering. - Donato Tiano; Angela Bonifati; Raymond T. Ng (SIGMOD Conference, 2021)

Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering. - Angela Bonifati; Francesco Del Buono; Francesco Guerra 001; Donato Tiano (Proc. VLDB Endow., 2022)

Learning models on healthcare data with quality indicators. (Modèles d'apprentissage sur les données de santé avec indicateurs de qualité). - Donato Tiano (2022)

Interpretable Clustering of Multivariate Time Series with Time2Feat. - Angela Bonifati; Francesco Del Buono; Francesco Guerra 001; Miki Lombardi; Donato Tiano (Proc. VLDB Endow., 2023)

Explaining Entity Matching with Clusters of Words. - Riccardo Benassi; Francesco Guerra 001; Matteo Paganelli; Donato Tiano (ICDE, 2024)

How Transformers Are Revolutionizing Entity Matching. - Matteo Paganelli; Donato Tiano; Francesco Del Buono; Andrea Baraldi 002; Riccardo Benassi; Giacomo Guiduzzi; Francesco Guerra 001 (SEBD, 2024)

A multi-facet analysis of BERT-based entity matching models. - Matteo Paganelli; Donato Tiano; Francesco Guerra 001 (VLDB J., 2024)

Graphint: Graph-Based Time Series Clustering Visualisation Tool. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (ICDE, 2025)

Interpretable clustering of PS-InSAR time series for ground deformation detection. - Claudia Masciulli; Giacomo Guiduzzi; Donato Tiano; Marta Zocchi; Francesco Guerra 001; Paolo Mazzanti; Gabriele Scarascia Mugnozza (Comput. Geosci., 2025)

k-Graph: A Graph Embedding for Interpretable Time Series Clustering. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (CoRR, 2025)

-Graph: A Graph Embedding for Interpretable Time Series Clustering. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2025)