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2020 – today
- 2024
[j5]Umair Ahmed
, Charalampos Alexopoulos, Marco Piangerelli, Andrea Polini:
BRYT: Automated keyword extraction for open datasets. Intell. Syst. Appl. 23: 200421 (2024)- [c11]Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo:
Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). KDD 2024: 6731-6732 - 2023
- [j4]Marianna Ciccarelli, Flavio Corradini, Michele Germani, Giacomo Menchi, Leonardo Mostarda, Alessandra Papetti, Marco Piangerelli:
SPECTRE: a deep learning network for posture recognition in manufacturing. J. Intell. Manuf. 34(8): 3469-3481 (2023) - [c10]Diletta Cacciagrano, Flavio Corradini, Marco Piangerelli:
Sensorless Predictive Maintenance: An Example on a 'Not 4.0' Coffee Machine Production Process. AINA (3) 2023: 311-320 - [c9]Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli:
Managing Variability of Large Public Administration Event Log Collections: Dealing with Concept Drift. BIR 2023: 31-44 - 2022
- [c8]Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli, Andrea Polini:
Label-independent feature engineering-based clustering in Public Administration Event Logs (short paper). EGOV-CeDEM-ePart-* 2022 - [i3]Flavio Corradini, Michele Loreti, Marco Piangerelli, Giacomo Rocchetti:
REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework. CoRR abs/2203.14686 (2022) - 2021
- [c7]Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli, Andrea Polini:
TLV-dissγ : A Dissimilarity Measure for Public Administration Process Logs. EGOV 2021: 301-314 - 2020
- [j3]Alessio Mancini, Leonardo Vito, Elisa Marcelli, Marco Piangerelli, Renato De Leone, Sandra Pucciarelli, Emanuela Merelli:
Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS". BMC Bioinform. 21-S(10): 347 (2020)
2010 – 2019
- 2019
- [c6]Marco Piangerelli, Luca Tesei, Emanuela Merelli:
A Persistent Entropy Automaton for the Dow Jones Stock Market. FSEN 2019: 37-42 - [c5]Gebremichael Shiferaw, Adane Letta Mamuye, Marco Piangerelli:
Stationary Wavelet Transform for Automatic Epileptic Seizure Detection. ICT4DA 2019: 38-45 - [i2]Marco Piangerelli, Giacomo Rocchetti, Alessandro Liscio, Renato De Leone:
BinarySDG: binary sensor data generation with R. CoRR abs/1909.10308 (2019) - 2018
- [j2]Jeffrey H. Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, Marco Amador:
Big Data: Business, Technology, Education, and Science: Big Data (Ubiquity symposium). Ubiquity 2018(July): 2:1-2:13 (2018) - 2016
- [j1]Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller:
A topological approach for multivariate time series characterization: the epileptic brain. EAI Endorsed Trans. Self Adapt. Syst. 2(7): e5 (2016) - [c4]Emanuela Merelli, Matteo Rucco, Luca Tesei, Marco Piangerelli, Adane Letta Mamuye, Michela Quadrini:
Survey of TOPDRIM Applications of Topological Data Analysis. KDWeb 2016 - [i1]Marco Piangerelli, Matteo Rucco, Emanuela Merelli:
Topological classifier for detecting the emergence of epileptic seizures. CoRR abs/1611.04872 (2016) - 2015
- [c3]Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller:
A topological approach for multivariate time series characterization: the epileptic brain. BICT 2015: 201-204 - 2014
- [c2]Emanuela Merelli, Marco Piangerelli:
RNN-based Model for Self-adaptive Systems - The Emergence of Epilepsy in the Human Brain. IJCCI (NCTA) 2014: 356-361 - [c1]Marco Piangerelli, Antonino Paris, Pantaleo Romanelli:
CyberBrain - A Preliminary Experience on Non Human Primate. NEUROTECHNIX 2014: 94-98
Coauthor Index
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last updated on 2024-10-09 20:27 CEST by the dblp team
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