Luca Parisi

According to our database, Luca Parisi authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Optimal evolutionary framework-based activation function for image classification.

Luca Parisi, Ciprian-Daniel Neagu, Narrendar RaviChandran, Renfei Ma, Felician Campean

Knowl. Based Syst., 2024

A Transfer Learning-Based Approach to Unveil Kinase-Specific Phosphorylation Sites of Understudied Kinases.

Wentao Huang, Xiaoyan Zhou, Luca Parisi, Mansour Youseffi, Renfei Ma

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023

Innovative feature-driven machine learning and deep learning for finance, education, and healthcare.

Luca Parisi, Marianne Lyne Manaog

Neural Comput. Appl., June, 2023

Holistic similarity-based prediction of phosphorylation sites for understudied kinases.

Renfei Ma, Shangfu Li, Luca Parisi, Wenshuo Li, Hsien-Da Huang, Tzong-Yi Lee

Briefings Bioinform., March, 2023

2022

Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis.

Luca Parisi, Narrendar RaviChandran

Neural Process. Lett., 2022

Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19.

Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean

Expert Syst. Appl., 2022

Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children.

Matteo Lanzillotta, Renfei Ma, Marcella Accardi, Narrendar RaviChandran, Amir Zaernia, Mansour Youseffi, Luca Parisi

Appl. Intell., 2022

2021

M-ar-K-Fast Independent Component Analysis.

Luca Parisi

CoRR, 2021

2020

Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders.

Luca Parisi, Narrendar RaviChandran

Neural Process. Lett., 2020

A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis.

Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog

Neural Comput. Appl., 2020

Evolutionary feature transformation to improve prognostic prediction of hepatitis.

Luca Parisi, Narrendar RaviChandran

Knowl. Based Syst., 2020

hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras.

Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta

CoRR, 2020

QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics.

Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean

CoRR, 2020

m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn.

Luca Parisi

CoRR, 2020

2018

Decision support system to improve postoperative discharge: A novel multi-class classification approach.

Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog

Knowl. Based Syst., 2018

Feature-driven machine learning to improve early diagnosis of Parkinson's disease.

Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog

Expert Syst. Appl., 2018

2016

Towards a Software Product Line for Machine Learning Workflows: Focus on Supporting Evolution.

Cécile Camillieri, Luca Parisi, Mireille Blay-Fornarino, Frédéric Precioso, Michel Riveill, Joël Cancela Vaz

Proceedings of the 10th Workshop on Models and Evolution co-located with ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MODELS 2016), 2016