publications

Peer-reviewed journal and conference papers in reverse chronological order. The complete record is on Google Scholar and ORCID.

My primary research field is unsupervised learning and data science, particularly for the dynamics of complex systems. I work on clustering, anomaly detection and drift adaptation for time series, using topological methods (topological data analysis) alongside deep learning, with applications in medicine, biology and manufacturing.

The full list of publications is also available on Google Scholar, ORCID and ResearchGate.

2026

  1. ISWA
    Evaluating univariate time series anomaly detection: Results and practical guidelines from the UCR Anomaly Archive
    Diletta Cacciagrano, Flavio Corradini, Avdil Mehmeti, Marco Piangerelli, and Martina Zannotti
    Intelligent Systems with Applications, 2026
  2. Front. Bioinform.
    Entropy-driven machine learning for deciphering mRNA rearrangement by splicing in complex microorganisms
    Alessio Mancini, Emanuela Merelli, Marco Piangerelli, Sandra Pucciarelli, and Leonardo Vito
    Frontiers in Bioinformatics, 2026
  3. Sensors
    Controlled Evaluation of Hybrid Multi-Face Recognition Pipelines for Real-Time Occluded-Face Recognition on Edge Devices
    Shkëmb Abdullahu, Arbana Kadriu, and Marco Piangerelli
    Sensors, 2026
  4. TMLR
    COunterfactual Reasoning for Temporal EXplanations: Plausible and Robust Explanations for EEG-Based Seizure Detection
    M. Zannotti, B. Prenkaj, M. Piangerelli, F. Corradini, and G. Kasneci
    Transactions on Machine Learning Research, 2026
  5. ICIIE
    Comparative Evaluation of Real-Time Multi-Face Recognition Pipelines on a Custom Dataset for IoT Deployment
    Shkëmb Abdullahu, Arbana Kadriu, and Marco Piangerelli
    In International Conference on Industrial and Intelligent Engineering (ICIIE), 2026
  6. ACDSA
    Real-Time Performance of Hybrid Multi-Face Recognition Systems for IoT Devices Using Different CNN Architectures
    Shkëmb Abdullahu, Arbana Kadriu, and Marco Piangerelli
    In International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026
  7. AINA
    AI for Movement Evaluation in Rehabilitation: Review, Challenges, and Future Directions
    Erëza Abdullahu, Diletta Romana Cacciagrano, Leonardo Mostarda, and Marco Piangerelli
    In International Conference on Advanced Information Networking and Applications (AINA 2026), Lecture Notes on Data Engineering and Communications Technologies, 2026

2025

  1. Appl. Intell.
    Multimodal contextual transformer augmented fusion for emotion recognition
    Wesagn Dawit Chemma, Adane Letta Mamuye, and Marco Piangerelli
    Applied Intelligence, 2025
  2. MLWA
    Condition monitoring for pattern recognition in manufacturing
    Marco Piangerelli, Vincenzo Nucci, Flavio Corradini, Luca Giulioni, and Barbara Re
    Machine Learning with Applications, 2025
  3. Neural Netw.
    A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification
    Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni, Marco Piangerelli, and Martina Zannotti
    Neural Networks, 2025
  4. Sensors
    Secure and Decentralized Hybrid Multi-Face Recognition for IoT Applications
    Erëza Abdullahu, Holger Wache, and Marco Piangerelli
    Sensors, 2025
  5. Sensors
    Lightweight Vision Transformer for Frame-Level Ergonomic Posture Classification in Industrial Workflows
    Luca Cruciata, Salvatore Contino, Marianna Ciccarelli, Roberto Pirrone, Leonardo Mostarda, Alessandra Papetti, and Marco Piangerelli
    Sensors, 2025
  6. BDCC
    State of the Art and Future Directions of Small Language Models: A Systematic Review
    Flavio Corradini, Matteo Leonesi, and Marco Piangerelli
    Big Data and Cognitive Computing, 2025
  7. Algorithms
    Explainability and Interpretability in Concept and Data Drift: A Systematic Literature Review
    Daniele Pelosi, Diletta Cacciagrano, and Marco Piangerelli
    Algorithms, 2025
  8. BDCC
    A Framework for Rapidly Prototyping Data Mining Pipelines
    Flavio Corradini, Luca Mozzoni, Marco Piangerelli, Barbara Re, and Lorenzo Rossi
    Big Data and Cognitive Computing, 2025
  9. ISWA
    Online clustering with interpretable drift adaptation to mixed features
    Flavio Corradini, Vincenzo Nucci, Marco Piangerelli, and Barbara Re
    Intelligent Systems with Applications, 2025
  10. BDCC
    COVID-19 Severity Classification Using Hybrid Feature Extraction: Integrating Persistent Homology, Convolutional Neural Networks and Vision Transformers
    Redet Assefa, Adane Mamuye, and Marco Piangerelli
    Big Data and Cognitive Computing, 2025
  11. BIR
    ReACMe: Repetition Aware Clustering Methodology for Business Process Log Collections
    Caterina Luciani, Luigi Bucchicchio, Andrea Morichetta, Marco Piangerelli, and Andrea Polini
    In Perspectives in Business Informatics Research (BIR), 2025
  12. LNCS
    Discovering Drift Phenomena in Evolving Landscapes
    Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Anuj Joshi, and Giovanni Stilo
    2025
    Post-proceedings of the DELTA 2024 workshop at KDD 2024

2024

  1. ISWA
    BRYT: Automated keyword extraction for open datasets
    Umair Ahmed, Charalampos Alexopoulos, Marco Piangerelli, and Andrea Polini
    Intelligent Systems with Applications, 2024

2023

  1. BIR
    Managing Variability of Large Public Administration Event Log Collections: Dealing with Concept Drift
    Flavio Corradini, Caterina Luciani, Andrea Morichetta, and Marco Piangerelli
    In Perspectives in Business Informatics Research (BIR), 2023
  2. AINA
    Sensorless predictive maintenance: an example on a ‘not 4.0’ coffee machine production process
    Diletta Cacciagrano, Flavio Corradini, and Marco Piangerelli
    In International Conference on Advanced Information Networking and Applications (AINA), 2023

2022

  1. JIM
    SPECTRE: a deep learning network for posture recognition in manufacturing
    Marianna Ciccarelli, Flavio Corradini, Michele Germani, Giacomo Menchi, Leonardo Mostarda, Alessandra Papetti, and Marco Piangerelli
    Journal of Intelligent Manufacturing, 2022
  2. EGOV
    Label-independent feature engineering-based clustering in Public Administration Event Logs
    F. Corradini, C. Luciani, A. Morichetta, M. Piangerelli, and A. Polini
    In Electronic Government (EGOV 2022), 2022
  3. arXiv
    REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework
    F. Corradini, M. Loreti, M. Piangerelli, and G. Rocchetti
    2022

2021

  1. EGOV
    TLV-dissγ: A Dissimilarity Measure for Public Administration Process Logs
    Flavio Corradini, Caterina Luciani, Andrea Morichetta, Marco Piangerelli, and Andrea Polini
    In Electronic Government (EGOV 2021), Lecture Notes in Computer Science, vol 12850, 2021

2020

  1. CSF
    A Bayesian approach for monitoring epidemics in presence of undetected cases
    Andrea De Simone and Marco Piangerelli
    Chaos, Solitons & Fractals, 2020
  2. Biomedicines
    Gender-Related Differences in Trimethylamine and Oxidative Blood Biomarkers in Cardiovascular Disease Patients
    Laura Bordoni, Donatella Fedeli, Marco Piangerelli, Iwona Pelikant-Malecka, Adrianna Radulska, Joanna J. Samulak, Angelika K. Sawicka, Lukasz Lewicki, and 3 more authors
    Biomedicines, 2020
  3. JMGM
    Visualising 2-simplex formation in metabolic reactions
    Marco Piangerelli, Stefano Maestri, and Emanuela Merelli
    Journal of Molecular Graphics and Modelling, 2020
  4. BMC Bioinform.
    Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”
    Alessio Mancini, Leonardo Vito, Elisa Marcelli, Marco Piangerelli, Renato De Leone, Sandra Pucciarelli, and Emanuela Merelli
    BMC Bioinformatics, 2020

2019

  1. Antioxidants
    Anti-Inflammatory, Anti-Arthritic and Anti-Nociceptive Activities of Nigella sativa Oil in a Rat Model of Arthritis
    Cinzia Nasuti, Donatella Fedeli, Laura Bordoni, Marco Piangerelli, Maurizio Servili, Roberto Selvaggini, and Rosita Gabbianelli
    Antioxidants, 2019
  2. Lifestyle Genomics
    HTR2C gene variant and salivary cortisol levels after endurance physical activity: a pilot study
    Laura Bordoni, Donatella Fedeli, Marco Piangerelli, and Rosita Gabbianelli
    Lifestyle Genomics, 2019
  3. ICT4DA
    Stationary Wavelet Transform for Automatic Epileptic Seizure Detection
    Gebremichael Shiferaw, Adane Mamuye, and Marco Piangerelli
    In Information and Communication Technology for Development for Africa (ICT4DA 2019), Communications in Computer and Information Science, vol 1026, 2019
  4. FSEN
    A Persistent Entropy Automaton for the Dow Jones Stock Market
    Marco Piangerelli, Luca Tesei, and Emanuela Merelli
    In Fundamentals of Software Engineering (FSEN 2019), Lecture Notes in Computer Science, vol 11761, 2019
  5. arXiv
    BinarySDG: binary sensor data generation with R
    M. Piangerelli, G. Rocchetti, A. Liscio, and R. De Leone
    2019

2018

  1. BMC Res. Notes
    Topological classifier for detecting the emergence of epileptic seizures
    Marco Piangerelli, Matteo Rucco, Luca Tesei, and Emanuela Merelli
    BMC Research Notes, 2018
  2. J. Neurosurg.
    A novel neural prosthesis providing long-term electrocorticography recording and cortical stimulation for epilepsy and brain-computer interface
    Pantaleo Romanelli, Marco Piangerelli, David Ratel, Christophe Gaude, Thomas Costecalde, Cosimo Puttilli, Mauro Picciafuoco, Alim Benabid, and 1 more author
    Journal of Neurosurgery, 2018
  3. Ubiquity
    Big data: business, technology, education, and science
    Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, and 1 more author
    ACM Ubiquity, 2018

2017

  1. IUBMB Life
    Obesity-related genetic polymorphisms and adiposity indices in a young Italian population
    Laura Bordoni, Francesca Marchegiani, Marco Piangerelli, Valerio Napolioni, and Rosita Gabbianelli
    IUBMB Life, 2017

2016

  1. Toxics
    Hair Microelement Profile as a Prognostic Tool in Parkinson’s Disease
    Stefano Ferraro, Cinzia Nasuti, Marco Piangerelli, Marco Guidi, Rita Giovannetti, Augusto Ferri, and Rosita Gabbianelli
    Toxics, 2016
  2. IJERPH
    Pyrethroid Pesticide Metabolite in Urine and Microelements in Hair of Children Affected by Autism Spectrum Disorders: A Preliminary Investigation
    Valentina Domingues, Cinzia Nasuti, Marco Piangerelli, Luísa Correia-Sá, Alessandro Ghezzo, Marina Marini, Provvidenza Abruzzo, Paola Visconti, and 3 more authors
    International Journal of Environmental Research and Public Health, 2016
  3. Toxics
    Metal and Microelement Biomarkers of Neurodegeneration in Early Life Permethrin-Treated Rats
    Cinzia Nasuti, Stefano Ferraro, Rita Giovannetti, Marco Piangerelli, and Rosita Gabbianelli
    Toxics, 2016
  4. EAI SAS
    A topological approach for multivariate time series characterization: the epileptic brain
    Emanuela Merelli, Marco Piangerelli, Matteo Rucco, and Daniele Toller
    EAI Endorsed Transactions on Self-Adaptive Systems, 2016
  5. KDWeb
    Survey of TopDrim applications of Topological Data Analysis
    E. Merelli, M. Rucco, L. Tesei, M. Piangerelli, A. Mamuye, and M. Quadrini
    In Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB (KDWeb 2016), 2016

2014

  1. Front. Neurol.
    A fully integrated wireless system for intracranial direct cortical stimulation, real-time electrocorticography data transmission, and smart cage for wireless battery recharge
    Marco Piangerelli, Marco Ciavarro, Antonino Paris, Stefano Marchetti, Paolo Cristiani, Cosimo Puttilli, Napoleon Torres, Alim Louis Benabid, and 1 more author
    Frontiers in Neurology, 2014
  2. Neurotechnix
    Cyberbrain: a preliminary experience on non-human primate
    M. Piangerelli, A. Paris, and P. Romanelli
    In Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics (Neurotechnix 2014), 2014
  3. IJCCI
    RNN-based model for self-adaptive systems: the emergence of epilepsy in the human brain
    Emanuela Merelli and Marco Piangerelli
    In Proceedings of the 6th International Joint Conference on Computational Intelligence (IJCCI 2014), 2014