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Luca Parisi
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2020 – today
- 2024
- [j11]Luca Parisi
, Ciprian-Daniel Neagu
, Narrendar RaviChandran
, Renfei Ma
, Felician Campean
:
Optimal evolutionary framework-based activation function for image classification. Knowl. Based Syst. 299: 112025 (2024) - [c2]Wentao Huang, Xiaoyan Zhou, Luca Parisi, Mansour Youseffi, Renfei Ma:
A Transfer Learning-Based Approach to Unveil Kinase-Specific Phosphorylation Sites of Understudied Kinases. IWBBIO (2) 2024: 153-165 - 2023
- [j10]Renfei Ma, Shangfu Li, Luca Parisi, Wenshuo Li, Hsien-Da Huang, Tzong-Yi Lee
:
Holistic similarity-based prediction of phosphorylation sites for understudied kinases. Briefings Bioinform. 24(2) (2023) - [j9]Luca Parisi
, Marianne Lyne Manaog
:
Innovative feature-driven machine learning and deep learning for finance, education, and healthcare. Neural Comput. Appl. 35(16): 11477-11480 (2023) - 2022
- [j8]Matteo Lanzillotta
, Renfei Ma
, Marcella Accardi, Narrendar RaviChandran
, Amir Zaernia, Mansour Youseffi
, Luca Parisi
:
Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children. Appl. Intell. 52(9): 10757-10767 (2022) - [j7]Luca Parisi
, Daniel Neagu, Renfei Ma
, Felician Campean:
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19. Expert Syst. Appl. 187: 115892 (2022) - [j6]Luca Parisi
, Narrendar RaviChandran
:
Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis. Neural Process. Lett. 54(2): 1009-1033 (2022) - 2021
- [i4]Luca Parisi:
M-ar-K-Fast Independent Component Analysis. CoRR abs/2108.07908 (2021) - 2020
- [j5]Luca Parisi
, Narrendar RaviChandran
:
Evolutionary feature transformation to improve prognostic prediction of hepatitis. Knowl. Based Syst. 200: 106012 (2020) - [j4]Luca Parisi
, Narrendar RaviChandran
, Marianne Lyne Manaog
:
A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis. Neural Comput. Appl. 32(8): 3839-3852 (2020) - [j3]Luca Parisi
, Narrendar RaviChandran
:
Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders. Neural Process. Lett. 52(3): 2565-2581 (2020) - [i3]Luca Parisi
:
m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn. CoRR abs/2009.07530 (2020) - [i2]Luca Parisi
, Daniel Neagu, Renfei Ma, Felician Campean:
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics. CoRR abs/2010.08031 (2020) - [i1]Luca Parisi
, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta:
hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras. CoRR abs/2011.07661 (2020)
2010 – 2019
- 2018
- [j2]Luca Parisi
, Narrendar RaviChandran
, Marianne Lyne Manaog
:
Feature-driven machine learning to improve early diagnosis of Parkinson's disease. Expert Syst. Appl. 110: 182-190 (2018) - [j1]Luca Parisi
, Narrendar RaviChandran
, Marianne Lyne Manaog
:
Decision support system to improve postoperative discharge: A novel multi-class classification approach. Knowl. Based Syst. 152: 1-10 (2018) - 2016
- [c1]Cécile Camillieri, Luca Parisi, Mireille Blay-Fornarino, Frédéric Precioso, Michel Riveill, Joël Cancela Vaz:
Towards a Software Product Line for Machine Learning Workflows: Focus on Supporting Evolution. ME@MoDELS 2016: 65-70
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last updated on 2024-09-10 02:06 CEST by the dblp team
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