Marco Piangerelli

According to our database, Marco Piangerelli authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BRYT: Automated keyword extraction for open datasets.

Umair Ahmed, Charalampos Alexopoulos, Marco Piangerelli, Andrea Polini

Intell. Syst. Appl., 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

Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA).

Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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., December, 2023

Managing Variability of Large Public Administration Event Log Collections: Dealing with Concept Drift.

Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli

Proceedings of the Perspectives in Business Informatics Research, 2023

Sensorless Predictive Maintenance: An Example on a 'Not 4.0' Coffee Machine Production Process.

Diletta Cacciagrano, Flavio Corradini, Marco Piangerelli

Proceedings of the Advanced Information Networking and Applications, 2023

2022

REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework.

Flavio Corradini, Michele Loreti, Marco Piangerelli, Giacomo Rocchetti

CoRR, 2022

Label-independent feature engineering-based clustering in Public Administration Event Logs (short paper).

Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli, Andrea Polini

Proceedings of Ongoing Research, 2022

2021

TLV-diss_γ: A Dissimilarity Measure for Public Administration Process Logs.

Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli, Andrea Polini

Proceedings of the Electronic Government - 20th IFIP WG 8.5 International Conference, 2021

2020

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

2019

BinarySDG: binary sensor data generation with R.

Marco Piangerelli, Giacomo Rocchetti, Alessandro Liscio, Renato De Leone

CoRR, 2019

Stationary Wavelet Transform for Automatic Epileptic Seizure Detection.

Gebremichael Shiferaw, Adane Letta Mamuye, Marco Piangerelli

Proceedings of the Information and Communication Technology for Development for Africa, 2019

A Persistent Entropy Automaton for the Dow Jones Stock Market.

Marco Piangerelli, Luca Tesei, Emanuela Merelli

Proceedings of the Fundamentals of Software Engineering - 8th International Conference, 2019

2018

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

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

Topological classifier for detecting the emergence of epileptic seizures.

Marco Piangerelli, Matteo Rucco, Emanuela Merelli

CoRR, 2016

Survey of TOPDRIM Applications of Topological Data Analysis.

Emanuela Merelli, Matteo Rucco, Luca Tesei, Marco Piangerelli, Adane Letta Mamuye, Michela Quadrini

Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016

2014

CyberBrain - A Preliminary Experience on Non Human Primate.

Marco Piangerelli, Antonino Paris, Pantaleo Romanelli

Proceedings of the 2nd International Congress on Neurotechnology, 2014

RNN-based Model for Self-adaptive Systems - The Emergence of Epilepsy in the Human Brain.

Emanuela Merelli, Marco Piangerelli

Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014