RNN-based Model for Self-adaptive Systems - The Emergence of Epilepsy in the Human Brain. - Emanuela Merelli; Marco Piangerelli (IJCCI (NCTA), 2014)

CyberBrain - A Preliminary Experience on Non Human Primate. - Marco Piangerelli; Antonino Paris; Pantaleo Romanelli (NEUROTECHNIX, 2014)

Survey of TOPDRIM Applications of Topological Data Analysis. - Emanuela Merelli; Matteo Rucco; Luca Tesei; Marco Piangerelli; Adane Letta Mamuye; Michela Quadrini (KDWeb, 2016)

Topological classifier for detecting the emergence of epileptic seizures. - Marco Piangerelli; Matteo Rucco; Emanuela Merelli (CoRR, 2016)

A topological approach for multivariate time series characterization: the epileptic brain. - Emanuela Merelli; Marco Piangerelli; Matteo Rucco; Daniele Toller (EAI Endorsed Trans. Self Adapt. Syst., 2016)

Big Data: Business, Technology, Education, and Science: Big Data (Ubiquity symposium). - Jeffrey H. Johnson; Luca Tesei; Marco Piangerelli; Emanuela Merelli; Riccardo Paci; Nenad Stojanovic; Paulo Leitão; José Barbosa; Marco Amador (Ubiquity, 2018)

A Persistent Entropy Automaton for the Dow Jones Stock Market. - Marco Piangerelli; Luca Tesei; Emanuela Merelli (FSEN, 2019)

Stationary Wavelet Transform for Automatic Epileptic Seizure Detection. - Gebremichael Shiferaw; Adane Letta Mamuye; Marco Piangerelli (ICT4DA, 2019)

BinarySDG: binary sensor data generation with R. - Marco Piangerelli; Giacomo Rocchetti; Alessandro Liscio; Renato De Leone (CoRR, 2019)

Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS". - Alessio Mancini; Leonardo Vito; Elisa Marcelli; Marco Piangerelli; Renato De Leone; Sandra Pucciarelli; Emanuela Merelli (BMC Bioinform., 2020)

TLV-dissγ : A Dissimilarity Measure for Public Administration Process Logs. - Flavio Corradini; Caterina Luciani; Andrea Morichetta 001; Marco Piangerelli; Andrea Polini (EGOV, 2021)

Label-independent feature engineering-based clustering in Public Administration Event Logs (short paper). - Flavio Corradini; Caterina Luciani; Andrea Morichetta 001; Marco Piangerelli; Andrea Polini (EGOV-CeDEM-ePart-*, 2022)

REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework. - Flavio Corradini; Michele Loreti; Marco Piangerelli; Giacomo Rocchetti (CoRR, 2022)

Sensorless Predictive Maintenance: An Example on a 'Not 4.0' Coffee Machine Production Process. - Diletta Cacciagrano; Flavio Corradini; Marco Piangerelli (AINA (3), 2023)

Managing Variability of Large Public Administration Event Log Collections: Dealing with Concept Drift. - Flavio Corradini; Caterina Luciani; Andrea Morichetta 001; Marco Piangerelli (BIR, 2023)

SPECTRE: a deep learning network for posture recognition in manufacturing. - Marianna Ciccarelli; Flavio Corradini; Michele Germani; Giacomo Menchi; Leonardo Mostarda; Alessandra Papetti; Marco Piangerelli (J. Intell. Manuf., 2023)

Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). - Marco Piangerelli; Bardh Prenkaj; Ylenia Rotalinti; Ananya Joshi 001; Giovanni Stilo (KDD, 2024)

A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification. - Flavio Corradini; Marco Gori; Carlo Lucheroni; Marco Piangerelli; Martina Zannotti (CoRR, 2024)

BRYT: Automated keyword extraction for open datasets. - Umair Ahmed; Charalampos Alexopoulos; Marco Piangerelli; Andrea Polini (Intell. Syst. Appl., 2024)

Online clustering with interpretable drift adaptation to mixed features. - Flavio Corradini; Vincenzo Nucci; Marco Piangerelli; Barbara Re 001 (Intell. Syst. Appl., 2025)