Pubblicazioni

A Future direction of machine learning for building energy management. Interpretable models

2024 - ENERGIES

Gugliermetti, Luca; Cumo, Fabrizio; Agostinelli, Sofia

A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data

2024 - REMOTE SENSING

Abdali, Esmaeil; Javad Valadan Zoej, Mohammad; Taheri Dehkordi, Alireza; Ghaderpour, Ebrahim

Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer. a multi-istitutional study

2024 - RADIOTHERAPY AND ONCOLOGY

Cilla, Savino; Campitelli, Maura; Antonietta Gambacorta, Maria; Michela Rinaldi, Raffaella; Deodato, Francesco; Pezzulla, Donato; Romano, Carmmela; Fodor, Andrei; Laliscia, Concetta; Trippa, Fabio; DE SANCTIS, Vitaliana; Ippolito, Edy; Ferioli, Martina; Titone, Francesca; Russo, Donatella; Balcet, Vittoria; Vicenzi, Lisa; Di Cataldo, Vanessa; Raguso, Arcangela; Giuseppe Morganti, Alessio; Ferrandina, Gabriella; Macchia, Gabriella

Unlocking the potential of synthetic patients for accelerating clinical trials: Results of the first GIMEMA experience on acute myeloid leukemia patients

2024 - EJHAEM

Piciocchi, Alfonso; Cipriani, Marta; Messina, Monica; Marconi, Giovanni; Arena, Valentina; Soddu, Stefano; Crea, Enrico; Feraco, Maria Valeria; Ferrante, Marco; La Sala, Edoardo; Fazi, Paola; Buccisano, Francesco; Voso, Maria Teresa; Martinelli, Giovanni; Venditti, Adriano; Vignetti, Marco

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

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

Phenotyping the histopathological subtypes of non-small-cell lung carcinoma: how beneficial is radiomics?

2023 - DIAGNOSTICS

Pasini, Giovanni; Stefano, Alessandro; Russo, Giorgio; Comelli, Albert; Marinozzi, Franco; Bini, Fabiano

Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

2023 - THE AMERICAN JOURNAL OF CARDIOLOGY

Mohammadi, T.; D'Ascenzo, F.; Pepe, M.; Bonsignore Zanghi, S.; Bernardi, M.; Spadafora, L.; Frati, G.; Peruzzi, M.; De Ferrari, G. M.; Biondi-Zoccai, G.

Thermography and machine learning combination for comprehensive analysis of transient response of a photovoltaic module to water cooling

2023 - RENEWABLE ENERGY

Sohani, A.; Cornaro, C.; Shahverdian, M. H.; Hoseinzadeh, S.; Moser, D.; Nastasi, B.; Sayyaadi, H.; Astiaso Garcia, D.

Development and validation of artificial-intelligence-based radiomics model using computed tomography features for preoperative risk stratification of gastrointestinal stromal tumors

2023 - JOURNAL OF PERSONALIZED MEDICINE

Rengo, Marco; Onori, Alessandro; Caruso, Damiano; Bellini, Davide; Carbonetti, Francesco; De Santis, Domenico; Vicini, Simone; Zerunian, Marta; Iannicelli, Elsa; Carbone, Iacopo; Laghi, Andrea

Multi-source statistics on employment status in Italy, a machine learning approach

2023 - METRON

Varriale, R.; Alfo', M.

A Visual Analytics Conceptual Framework for Explorable and Steerable Partial Dependence Analysis

2023 - IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Angelini, Marco; Blasilli, Graziano; Lenti, Simone; Santucci, Giuseppe

Are Neural Network Potentials Trained on Liquid States Transferable to Crystal Nucleation? A Test on Ice Nucleation in the mW Water Model

2023 - JOURNAL OF PHYSICAL CHEMISTRY. B, CONDENSED MATTER, MATERIALS, SURFACES, INTERFACES & BIOPHYSICAL

GUIDARELLI MATTIOLI, Francesco; Sciortino, Francesco; Russo, John

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Ricerc@Sapienza

Pubblicazioni

A Future direction of machine learning for building energy management. Interpretable models

A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data

Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer. a multi-istitutional study

Unlocking the potential of synthetic patients for accelerating clinical trials: Results of the first GIMEMA experience on acute myeloid leukemia patients

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

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

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

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

Optimization-based approaches for learning Optimal Classification Trees

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

Phenotyping the histopathological subtypes of non-small-cell lung carcinoma: how beneficial is radiomics?

Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

Thermography and machine learning combination for comprehensive analysis of transient response of a photovoltaic module to water cooling

Firms' profitability and ESG score: A machine learning approach

Predicting partner fitness based on spatial structuring in a light-driven microbial community

Landscape context importance for predicting forest transition success in central Panama

Development and validation of artificial-intelligence-based radiomics model using computed tomography features for preoperative risk stratification of gastrointestinal stromal tumors

Multi-source statistics on employment status in Italy, a machine learning approach

A Visual Analytics Conceptual Framework for Explorable and Steerable Partial Dependence Analysis

Are Neural Network Potentials Trained on Liquid States Transferable to Crystal Nucleation? A Test on Ice Nucleation in the mW Water Model

Land Consumption Classification Using Sentinel 1 Data. A Systematic Review

Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory Input

Seabed Classification From Multispectral Multibeam Data

Precipitation Time Series Analysis and Forecasting for Italian Regions

Risk based tunnel design by vehicle involved in road crashes. Models and tunnel length