Luca Parisi

21 papers Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel integrative multimodal classifier to enhance the diagnosis of Parkinson's disease.
Briefings Bioinform.
Xiaoyan Zhou, Luca Parisi, Wentao Huang, Yihan Zhang, Xiaoqun Huang, Mansour Youseffi, Farideh Javid, Renfei Ma
2025 J jnl
Optimal Machine Learning- and Deep Learning-driven algorithms for predicting the future value of investments: A systematic review and meta-analysis.
Eng. Appl. Artif. Intell.
Luca Parisi, Marianne Lyne Manaog
2024 — conf
A Novel Artificial Intelligence-Driven Technique for Enhancing Medical Imaging Techniques to Detect Non-Small Cell Lung Cancer.
EUVIP
Amir Zaernia, Mansour Youseffi, Luca Parisi, Raed Abd-Alhameed, Renfei Ma
2024 — conf
A Transfer Learning-Based Approach to Unveil Kinase-Specific Phosphorylation Sites of Understudied Kinases.
IWBBIO (2)
Wentao Huang, Xiaoyan Zhou, Luca Parisi, Mansour Youseffi, Renfei Ma
2024 J jnl
Optimal evolutionary framework-based activation function for image classification.
Knowl. Based Syst.
Luca Parisi, Ciprian Daniel Neagu, Narrendar RaviChandran, Renfei Ma, Felician Campean
2023 — conf
A Physiologically Informed Three-Dimensional Convolutional Neural Network to Aid Diagnosis of Non-Small Cell Lung Cancer.
ICECET
Amir Zaernia, Mansour Youseffi, Luca Parisi
2023 J jnl
Holistic similarity-based prediction of phosphorylation sites for understudied kinases.
Briefings Bioinform.
Renfei Ma, Shangfu Li, Luca Parisi, Wenshuo Li, Hsien-Da Huang, Tzong-Yi Lee
2023 J jnl
Innovative feature-driven machine learning and deep learning for finance, education, and healthcare.
Neural Comput. Appl.
Luca Parisi, Marianne Lyne Manaog
2022 J jnl
Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children.
Appl. Intell.
Matteo Lanzillotta, Renfei Ma, Marcella Accardi, Narrendar RaviChandran, Amir Zaernia, Mansour Youseffi, Luca Parisi
2022 J jnl
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19.
Expert Syst. Appl.
Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean
2022 J jnl
Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis.
Neural Process. Lett.
Luca Parisi, Narrendar RaviChandran
2021 J jnl
M-ar-K-Fast Independent Component Analysis.
CoRR
Luca Parisi
2020 J jnl
A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis.
Neural Comput. Appl.
Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog
2020 J jnl
Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders.
Neural Process. Lett.
Luca Parisi, Narrendar RaviChandran
2020 J jnl
Evolutionary feature transformation to improve prognostic prediction of hepatitis.
Knowl. Based Syst.
Luca Parisi, Narrendar RaviChandran
2020 J jnl
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics.
CoRR
Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean
2020 J jnl
hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras.
CoRR
Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta
2020 J jnl
m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn.
CoRR
Luca Parisi
2018 J jnl
Decision support system to improve postoperative discharge: A novel multi-class classification approach.
Knowl. Based Syst.
Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog
2018 J jnl
Feature-driven machine learning to improve early diagnosis of Parkinson's disease.
Expert Syst. Appl.
Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog
2016 — conf
Towards a Software Product Line for Machine Learning Workflows: Focus on Supporting Evolution.
ME@MoDELS
Cécile Camillieri, Luca Parisi, Mireille Blay-Fornarino, Frédéric Precioso, Michel Riveill, Joël Cancela Vaz