Novel Algorithm for Efficient Distribution of Molecular Docking Calculations. - Luigi Di Biasi; Roberto Fino; Rosaura Parisi; Lucia Sessa; Giuseppe Cattaneo; Alfredo De Santis; Pio Iannelli; Stefano Piotto (WIVACE, 2015)

Models for the Prediction of Antimicrobial Peptides Activity. - Rosaura Parisi; Ida Moccia; Lucia Sessa; Luigi Di Biasi; Simona Concilio; Stefano Piotto (WIVACE, 2015)

A New Flexible Protocol for Docking Studies. - Lucia Sessa; Luigi Di Biasi; Simona Concilio; Giuseppe Cattaneo; Alfredo De Santis; Pio Iannelli; Stefano Piotto (WIVACE, 2015)

MapReduce in Computational Biology - A Synopsis. - Giuseppe Cattaneo; Raffaele Giancarlo; Stefano Piotto; Umberto Ferraro Petrillo; Gianluca Roscigno; Luigi Di Biasi (WIVACE, 2016)

Yada: a novel tool for molecular docking calculations. - Stefano Piotto; Luigi Di Biasi; Riccardo Fino; Raffaele Parisi; Lucia Sessa; Simona Concilio (J. Comput. Aided Mol. Des., 2016)

Fragment Based Molecular Dynamics for Drug Design. - Lucia Sessa; Luigi Di Biasi; Simona Concilio; Stefano Piotto (WIVACE, 2017)

SENECA: An Attention Support Tool for Context-related Content Learning. - Alessia Auriemma Citarella; Luigi Di Biasi; Stefano Piotto; Michele Risi; Genoveffa Tortora (DMSVIVA, 2021)

Gene Ontology Terms Visualization with Dynamic Distance-Graph and Similarity Measures (S). - Alessia Auriemma Citarella; Fabiola De Marco; Luigi Di Biasi; Michele Risi; Genoveffa Tortora (DMSVIVA, 2021)

Reconstruction and Visualization of Protein Structures by exploiting Bidirectional Neural Networks and Discrete Classes. - Alessia Auriemma Citarella; Lorenzo Porcelli; Luigi Di Biasi; Michele Risi; Genoveffa Tortora (IV, 2021)

Exploration of Genetic Algorithms and CNN for Melanoma Classification. - Luigi Di Biasi; Alessia Auriemma Citarella; Fabiola De Marco; Michele Risi; Genoveffa Tortora; Stefano Piotto (WIVACE, 2021)

ARISE: Artificial Intelligence Semantic Search Engine. - Luigi Di Biasi; Jacopo Santoro; Stefano Piotto (WIVACE, 2021)

Artificial Chemical Neural Network for Drug Discovery Applications. - Stefano Piotto; Lucia Sessa; Jacopo Santoro; Luigi Di Biasi (WIVACE, 2021)

SENECA: A Pedagogical Tool supporting Remote Teaching and Learning. - Alessia Auriemma Citarella; Luigi Di Biasi; Stefano Piotto; Michele Risi; Genoveffa Tortora (J. Vis. Lang. Comput., 2021)

PADD: Dynamic Distance-Graph based on Similarity Measures for GO Terms Visualization of Alzheimer and Parkinson diseases. - Alessia Auriemma Citarella; Fabiola De Marco; Luigi Di Biasi; Michele Risi; Genoveffa Tortora (J. Vis. Lang. Comput., 2021)

Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification. - Luigi Di Biasi; Fabiola De Marco; Alessia Auriemma Citarella; Paola Barra; Stefano Piotto; Genoveffa Tortora (ICPR Workshops (1), 2022)

Identification of Morphological Patterns for the Detection of Premature Ventricular Contractions. - Fabiola De Marco; Luigi Di Biasi; Alessia Auriemma Citarella; Maurizio Tucci; Genoveffa Tortora (IV, 2022)

YAMACS: a graphical interface for GROMACS. - Arkadeep Sarkar; Jacopo Santoro; Luigi Di Biasi; Francesco Marrafino; Stefano Piotto (Bioinform., 2022)

ENTAIL: yEt aNoTher amyloid fIbrils cLassifier. - Alessia Auriemma Citarella; Luigi Di Biasi; Fabiola De Marco; Genoveffa Tortora (BMC Bioinform., 2022)

SNARER: new molecular descriptors for SNARE proteins classification. - Alessia Auriemma Citarella; Luigi Di Biasi; Michele Risi; Genoveffa Tortora (BMC Bioinform., 2022)

A Cloud Approach for Melanoma Detection Based on Deep Learning Networks. - Luigi Di Biasi; Alessia Auriemma Citarella; Michele Risi; Genoveffa Tortora (IEEE J. Biomed. Health Informatics, 2022)

AI-based solutions for the analysis of biomedical images and signals. - Fabiola De Marco; Alessia Auriemma Citarella; Luigi Di Biasi; Lorenzo D'Errico; Rita Francese; Giovanni Mettivier; Mariacarla Staffa; Genoveffa Tortora (Ital-IA, 2023)

Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach. - Fabiola De Marco; Luigi Di Biasi; Alessia Auriemma Citarella; Genoveffa Tortora (WIVACE, 2023)

Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem. - Luigi Di Biasi; Fabiola De Marco; Alessia Auriemma Citarella; Modesto Castrillón Santana; Paola Barra; Genoveffa Tortora (BMC Bioinform., 2023)

Challenges and Opportunities of Symbiotic AI in Rare Disease Diagnosis. - Serena Lembo; Paola Barra; Satya Ranjan Dash; Luigi Di Biasi (BIBM, 2024)

Can ChatGPT-4o enhance ECG interpretation accuracy compared to cardiologists? - Anna Maria De Roberto; Fabiola De Marco; Luigi Di Biasi; Domenico Rossi; Genoveffa Tortora (BIBM, 2024)

Comparative analysis of diabetes diagnosis: WE-LSTM networks and WizardLM-powered DiabeTalk chatbot. - Domenico Rossi; Alessia Auriemma Citarella; Fabiola De Marco; Luigi Di Biasi; Genoveffa Tortora (BIBM, 2024)

Comparative Analysis of Synthetic and Real Melanoma Images in AI-Driven Diagnosis. - Alessia Auriemma Citarella; Fabiola De Marco; Luigi Di Biasi; Genoveffa Tortora (ECCV Workshops (20), 2024)

CardioView: a framework for detection Premature Ventricular Contractions with eXplainable Artificial Intelligence. - Giuseppe Arienzo; Alessia Auriemma Citarella; Fabiola De Marco; Anna Maria De Roberto; Luigi Di Biasi; Rita Francese; Genoveffa Tortora (INI-DH@AVI, 2024)

AI-driven technologies in Digital Health & Well Being: early detection and intervention strategies. - Ilaria Amaro; Alessia Auriemma Citarella; Fabiola De Marco; Attilio Della Greca; Luigi Di Biasi; Rita Francese; Domenico Rossi; Genoveffa Tortora; Cesare Tucci (Ital-IA, 2024)

AI-driven models for Cold Spray deposition: transforming additive manufacturing for sustainability. - Alessia Auriemma Citarella; Luigi Carrino; Fabiola De Marco; Luigi Di Biasi; Alessia Serena Perna; Genoveffa Tortora; Antonio Viscusi (Ital-IA, 2024)

AI4RDD: Artificial Intelligence and Rare Disease Diagnosis: A proposal to improve the anamnesis process. - Serena Lembo; Paola Barra; Luigi Di Biasi; Thierry Bouwmans; Genoveffa Tortora (Image Vis. Comput., 2025)

Assessing the effectiveness of ROUGE as unbiased metric in Extractive vs. Abstractive summarization techniques. - Alessia Auriemma Citarella; Marcello Barbella; Madalina G. Ciobanu; Fabiola De Marco; Luigi Di Biasi; Genoveffa Tortora (J. Comput. Sci., 2025)

Analysis of 12-lead ECGs for SARS-CoV-2 detection using deep learning techniques. - Alessia Auriemma Citarella; Fabiola De Marco; Luigi Di Biasi; Luca Di Chiara; Genoveffa Tortora (Multim. Tools Appl., 2025)