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Alfonso Monaco

Showing results (51-60 of 69) with videos related to

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Computational and Structural Biotechnology Journal|August 25, 2021
A primer on machine learning techniques for genomic applicationsAlfonso Monaco, Ester Pantaleo, Nicola Amoroso, et al.
Scientific Reports|March 5, 2024
Machine learning and XAI approaches highlight the strong connection between <math></math> and <math></math> pollutants and Alzheimer's diseaseAlessandro Fania, Alfonso Monaco, Nicola Amoroso, et al.
International Journal of Molecular Sciences|October 28, 2023
Artificial Intelligence and Complex Network Approaches Reveal Potential Gene Biomarkers for Hepatocellular CarcinomaAntonio Lacalamita, Grazia Serino, Ester Pantaleo, et al.
Scientific Reports|September 29, 2022
Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern EuropeRoberto Cilli, Mario Elia, Marina D'Este, et al.
Scientific Reports|December 10, 2025
Increased integration and synergy in EEG- and fNIRS-based data in migraine patients after a three-month treatment with galcanezumab: relations with long-term clinical outcomeMarianna La Rocca, Antonio Lacalamita, Livio Clemente, et al.
Environmental Pollution (Barking, Essex : 1987)|January 9, 2025
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligenceAlfonso Monaco, Mario Caruso, Loredana Bellantuono, et al.
Plos One|October 10, 2025
Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impactNiloofar Kheirkhahan, Loredana Bellantuono, Nicola Amoroso, et al.
Biology|March 27, 2026
Explainable AI-Based Hyperspectral Classification Reveals Differences in Spectral Response over Phenological StagesRameez Ahsen, Pierpaolo Di Bitonto, Pierfrancesco Novielli, et al.
Journal of Chemical Information and Modeling|December 15, 2022
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental ToxicityMaria Vittoria Togo, Fabrizio Mastrolorito, Fulvio Ciriaco, et al.
Genes|May 28, 2022
A Machine Learning Approach to Parkinson's Disease Blood TranscriptomicsEster Pantaleo, Alfonso Monaco, Nicola Amoroso, et al.
Pageof 7

Showing results (51-60 of 69) with videos related to

Sort By:
Pageof 7
Computational and Structural Biotechnology Journal|August 25, 2021
A primer on machine learning techniques for genomic applicationsAlfonso Monaco, Ester Pantaleo, Nicola Amoroso, et al.
Scientific Reports|March 5, 2024
Machine learning and XAI approaches highlight the strong connection between <math></math> and <math></math> pollutants and Alzheimer's diseaseAlessandro Fania, Alfonso Monaco, Nicola Amoroso, et al.
International Journal of Molecular Sciences|October 28, 2023
Artificial Intelligence and Complex Network Approaches Reveal Potential Gene Biomarkers for Hepatocellular CarcinomaAntonio Lacalamita, Grazia Serino, Ester Pantaleo, et al.
Scientific Reports|September 29, 2022
Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern EuropeRoberto Cilli, Mario Elia, Marina D'Este, et al.
Scientific Reports|December 10, 2025
Increased integration and synergy in EEG- and fNIRS-based data in migraine patients after a three-month treatment with galcanezumab: relations with long-term clinical outcomeMarianna La Rocca, Antonio Lacalamita, Livio Clemente, et al.
Environmental Pollution (Barking, Essex : 1987)|January 9, 2025
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligenceAlfonso Monaco, Mario Caruso, Loredana Bellantuono, et al.
Plos One|October 10, 2025
Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impactNiloofar Kheirkhahan, Loredana Bellantuono, Nicola Amoroso, et al.
Biology|March 27, 2026
Explainable AI-Based Hyperspectral Classification Reveals Differences in Spectral Response over Phenological StagesRameez Ahsen, Pierpaolo Di Bitonto, Pierfrancesco Novielli, et al.
Journal of Chemical Information and Modeling|December 15, 2022
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental ToxicityMaria Vittoria Togo, Fabrizio Mastrolorito, Fulvio Ciriaco, et al.
Genes|May 28, 2022
A Machine Learning Approach to Parkinson's Disease Blood TranscriptomicsEster Pantaleo, Alfonso Monaco, Nicola Amoroso, et al.
Pageof 7