Luigi Di Biasi

According to our database, Luigi Di Biasi authored at least 23 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., December, 2023

Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach.

Fabiola De Marco, Luigi Di Biasi, Alessia Auriemma Citarella, Genoveffa Tortora

Proceedings of the Artificial Life and Evolutionary Computation, 2023

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

Proceedings of the Italia Intelligenza Artificiale, 2023

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

SNARER: new molecular descriptors for SNARE proteins classification.

Alessia Auriemma Citarella, Luigi Di Biasi, Michele Risi, Genoveffa Tortora

BMC Bioinform., 2022

ENTAIL: yEt aNoTher amyloid fIbrils cLassifier.

Alessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, Genoveffa Tortora

BMC Bioinform., 2022

YAMACS: a graphical interface for GROMACS.

Arkadeep Sarkar, Jacopo Santoro, Luigi Di Biasi, Francesco Marrafino, Stefano Piotto

Bioinform., 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

Proceedings of the 26th International Conference Information Visualisation, 2022

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

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

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

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

Artificial Chemical Neural Network for Drug Discovery Applications.

Stefano Piotto, Lucia Sessa, Jacopo Santoro, Luigi Di Biasi

Proceedings of the Artificial Life and Evolutionary Computation - 15th Italian Workshop, 2021

ARISE: Artificial Intelligence Semantic Search Engine.

Luigi Di Biasi, Jacopo Santoro, Stefano Piotto

Proceedings of the Artificial Life and Evolutionary Computation - 15th Italian Workshop, 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

Proceedings of the Artificial Life and Evolutionary Computation - 15th Italian Workshop, 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

Proceedings of the 25th International Conference Information Visualisation, 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

Proceedings of the 27th International DMS Conference on Visualization and Visual Languages, 2021

SENECA: An Attention Support Tool for Context-related Content Learning.

Alessia Auriemma Citarella, Luigi Di Biasi, Stefano Piotto, Michele Risi, Genoveffa Tortora

Proceedings of the 27th International DMS Conference on Visualization and Visual Languages, 2021

2017

Fragment Based Molecular Dynamics for Drug Design.

Lucia Sessa, Luigi Di Biasi, Simona Concilio, Stefano Piotto

Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

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

MapReduce in Computational Biology - A Synopsis.

Giuseppe Cattaneo, Raffaele Giancarlo, Stefano Piotto, Umberto Ferraro Petrillo, Gianluca Roscigno, Luigi Di Biasi

Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016

2015

A New Flexible Protocol for Docking Studies.

Lucia Sessa, Luigi Di Biasi, Simona Concilio, Giuseppe Cattaneo, Alfredo De Santis, Pio Iannelli, Stefano Piotto

Proceedings of the Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, 2015

Models for the Prediction of Antimicrobial Peptides Activity.

Rosaura Parisi, Ida Moccia, Lucia Sessa, Luigi Di Biasi, Simona Concilio, Stefano Piotto

Proceedings of the Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, 2015

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

Proceedings of the Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, 2015