Pubblicazioni

Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control

2024 - MACHINE LEARNING AND KNOWLEDGE EXTRACTION

Nicoletta, M.; Zilich, R.; Masi, D.; Baccetti, F.; Nreu, B.; Giorda, C. B.; Guaita, G.; Morviducci, L.; Muselli, M.; Ozzello, A.; Pisani, F.; Ponzani, P.; Rossi, A.; Santin, P.; Verda, D.; Cianni, G. D.; Candido, R.

Altered brainstem-cortex activation and interaction in migraine patients. Somatosensory evoked EEG responses with machine learning

2024 - THE JOURNAL OF HEADACHE AND PAIN

Hsiao, Fu-Jung; Chen, Wei-Ta; Liu, Hung-Yu; Wu, Yu-Te; Wang, Yen-Feng; Pan, Li-Ling Hope; Lai, Kuan-Lin; Chen, Shih-Pin; Coppola, Gianluca; Wang, Shuu-Jiun

Raman Spectroscopy and AI Applications in Cancer Grading: An Overview

2024 - IEEE ACCESS

Conforti, Pietro Manganelli; Lazzini, Gianmarco; Russo, Paolo; D'Acunto, Mario

Towards an automated protocol for wildlife density estimation using cameraâtraps

2024 - METHODS IN ECOLOGY AND EVOLUTION

Zampetti, Andrea; Mirante, Davide; Palencia, Pablo; Santini, Luca

Correction of Batch Effect in Gut Microbiota Profiling of ASD Cohorts from Different Geographical Origins

2024 - BIOMEDICINES

Scanu, Matteo; Del Chierico, Federica; Marsiglia, Riccardo; Toto, Francesca; Guerrera, Silvia; Valeri, Giovanni; Vicari, Stefano; Putignani, Lorenza

Inflationary shocks, economic aggregates and householdsâ green transition. A causal machine learning analysis using mixed frequency data

2024 - Social Situation Monitor

Ciganovic, Milos; D'Amario, Federico; Tancioni, Massimiliano

Best features extraction for ML-based structural health monitoring

2024 - Proceedings of ISMA2024 International Conference on Noise and Vibration Engineering USD2024 International Conference on Uncertainty in Structural Dynamics

Severa, Luigi; Milana, Silvia; Roveri, Nicola; Culla, Antonio; Carcaterra, Antonio

Machine Learning Analysis in Diffusion Kurtosis Imaging for Discriminating Pediatric Posterior Fossa Tumors: A Repeatability and Accuracy Pilot Study

2024 - CANCERS

Paul Voicu, Ioan; Dotta, Francesco; Napolitano, Antonio; Caulo, Massimo; Piccirilli, Eleonora; D'Orazio, Claudia; Carai, Andrea; Miele, Evelina; Vinci, Maria; Rossi, Sabrina; Cacchione, Antonella; Vennarini, Sabina; DEL BALDO, Giada; Mastronuzzi, Angela; TomÃ , Paolo; Stefania Colafati, Giovanna

A Review of Data Mining Strategies by Data Type, with a Focus on Construction Processes and Health and Safety Management

2024 - INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

Pireddu, A.; Bedini, A.; Lombardi, M.; Ciribini, A. L. C.; Berardi, D.

Bioacoustic classification of a small dataset of mammalian vocalisations using deep learning

2024 - BIOACOUSTICS

Manriquez P, R.; Kotz, S. A.; Ravignani, A.; de Boer, B.

Predicting Postoperative Length of Stay in Patients Undergoing Laparoscopic Right Hemicolectomy for Colon Cancer: A Machine Learning Approach Using SICE (SocietÃ Italiana di Chirurgia Endoscopica) CoDIG Data

2024 - CANCERS

Anania, Gabriele; Chiozza, Matteo; Pedarzani, Emma; Resta, Giuseppe; Campagnaro, Alberto; Pedon, Sabrina; Valpiani, Giorgia; Silecchia, Gianfranco; Mascagni, Pietro; Cuccurullo, Diego; Reddavid, Rossella; Azzolina, Danila; On Behalf Of Sice CoDIG ColonDx Italian Group, Null

Advanced Fiber Beam Finite Element Model for Neural Network Training in Vibration-Based Bridge Monitoring

2024 - Procedia Structural Integrity

Fusco, D.; Rinaldi, C.; Addessi, D.; Gattulli, V.

Open tool for automated development of renewable energy communities: artificial intelligence and machine learning techniques for methodological approach

2024 - ENERGIES

Piras, G.; Muzi, F.; Ziran, Z.

Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study

2024 - IEEE ACCESS

Raisa, R. A.; Rodela, A. S.; Yousuf, M. A.; Azad, A.; Alyami, S. A.; Lio, P.; Islam, M. Z.; Pogrebna, G.; Moni, M. A.

Artificial intelligence and advanced technology in glaucoma: a review

2024 - JOURNAL OF PERSONALIZED MEDICINE

Tonti, Emanuele; Tonti, Sofia; Mancini, Flavia; Bonini, Chiara; Spadea, Leopoldo; D'Esposito, Fabiana; Gagliano, Caterina; Musa, Mutali; Zeppieri, Marco

Exploring the complexity of obstructive sleep apnea: findings from machine learning on diagnosis and predictive capacity of individual factors

2024 - SLEEP & BREATHING

Russo, Simone; Martini, Agnese; Luzzi, Valeria; Garbarino, Sergio; Pietrafesa, Emma; Polimeni, Antonella

Machine-learning-driven automatic application of the stochastic subspace identification method

2024 - PROCEDIA STRUCTURAL INTEGRITY

Rosso, Marco Martino; Aloisio, Angelo; Marano, Giuseppe Carlo; Quaranta, Giuseppe

Chapter 5 - Enabling technologies for planetary exploration

2023 - Planetary exploration horizon 2061 a long-term perspective for planetary exploration

Grande, Manuel; Guo, Linli; Blanc, Michel; Alves, Jorge; Makaya, Advenit; Asmar, Sami; Atkinson, David; Bourdon, Anne; Chabert, Pascal; Chien, Steve; Day, John; FairÃ©n, Alberto G.; Freeman, Anthony; Genova, Antonio; Herique, Alain; Kofman, Wlodek; Lazio, Joseph; Mousis, Olivier; Gabriele Ori, Gian; Parro, Victor; Preston, Robert; Rodriguez-Manfredi, Jose A.; Sterken, Veerlej.; Stephenson, Keith; Vander Hook, Joshua; Hunter, J.; Sonia Zine, Waite

A machine learning-based approach for mapping leachate contamination using geoelectrical methods

2023 - WASTE MANAGEMENT

Piegari, Ester; De Donno, Giorgio; Melegari, Davide; Paoletti, Valeria

NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification

2023 - BIOINFORMATICS

Stolfi, Paola; Mastropietro, Andrea; Pasculli, Giuseppe; Vergni, Davide; Tieri, Paolo

A machine-learning approach for monitoring water distribution networks (WDNs)

2023 - SUSTAINABILITY

Magini, Roberto; Moretti, Manuela; Boniforti, Maria Antonietta; Guercio, Roberto

Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree

2023 -

Di Teodoro, Giulia; Monaci, Marta; Palagi, Laura

A critical review on the state-of-the-art and future prospects of Machine Learning for Earth Observation Operations

2023 - ADVANCES IN SPACE RESEARCH

Miralles, Pablo; Thangavel, Kathiravan; Fulvio Scannapieco, Antonio; Jagadam, Nitya; Baranwal, Prerna; Faldu, Bhavin; Abhang, Ruchita; Bhatia, Sahil; Bonnart, Sebastien; Bhatnagar, Ishita; Batul, Beenish; Prasad, Pallavi; Ortega-GonzÃ¡lez, HÃ©ctor; Joseph, Harrish; More, Harshal; Morchedi, Sondes; Kumar Panda, Aman; Zaccaria Di Fraia, Marco; Wischert, Daniel; Stepanova, Daria

Optimization-based approaches for learning Optimal Classification Trees

2023 - IFORS News

D'Onofrio, Federico; Monaci, Marta; Palagi, Laura

Machine Learning and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure

2023 - REMOTE SENSING

Billi, Dario; Croce, Valeria; Giorgio Bevilacqua, Marco; Caroti, Gabriella; Pasqualetti, Agnese; Piemonte, Andrea; Russo, Michele