Sergio Decherchi

Orcid: 0000-0001-8371-2270

According to our database1, Sergio Decherchi authored at least 49 papers between 2006 and 2024.

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Bibliography

2024
AMCG: a graph dual atomic-molecular conditional molecular generator.
Mach. Learn. Sci. Technol., 2024

A hybrid federated kernel regularized least squares algorithm.
Knowl. Based Syst., 2024

Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning.
CoRR, 2024

Faster ISNet for Background Bias Mitigation on Deep Neural Networks.
IEEE Access, 2024

Designing RISC-V Instruction Set Extensions for Artificial Neural Networks: An LLVM Compiler-Driven Perspective.
IEEE Access, 2024

2023
Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome.
J. Chem. Inf. Model., August, 2023

Assessing the Effectiveness of Non-Turing Computing Paradigms.
IEEE Access, 2023


2022
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks.
Cogn. Comput., 2021

On the Stability of Feature Selection in Multiomics Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

An Ab Initio Local Principal Path Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Fast and Memory-Efficient Import Vector Domain Description.
Neural Process. Lett., 2020

Spathial: an R package for the evolutionary analysis of biological data.
Bioinform., 2020

2019
Finding Principal Paths in Data Space.
IEEE Trans. Neural Networks Learn. Syst., 2019

Cognitive Insights into Sentic Spaces Using Principal Paths.
Cogn. Comput., 2019

NanoShaper-VMD interface: computing and visualizing surfaces, pockets and channels in molecular systems.
Bioinform., 2019

2018
Addendum to BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery.
J. Chem. Inf. Model., 2018

BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery.
J. Chem. Inf. Model., 2018

Simple Learning with a Teacher via Biased Regularized Least Squares.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2017
Import Vector Domain Description: A Kernel Logistic One-Class Learning Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2017

Distributed Kernel K-Means for Large Scale Clustering.
CoRR, 2017

2016
SIM-ELM: Connecting the ELM model with similarity-function learning.
Neural Networks, 2016

Inductive bias for semi-supervised extreme learning machine.
Neurocomputing, 2016

2015
A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins.
J. Chem. Inf. Model., 2015

2014
CUDA accelerated molecular surface generation.
Concurr. Comput. Pract. Exp., 2014

Semi-supervised machine learning approach for unknown malicious software detection.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

2013
Circular-ELM for the reduced-reference assessment of perceived image quality.
Neurocomputing, 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

Solving the Linearized Poisson-Boltzmann Equation on GPUs Using CUDA.
Proceedings of the 21st Euromicro International Conference on Parallel, 2013

2012
Efficient Digital Implementation of Extreme Learning Machines for Classification.
IEEE Trans. Circuits Syst. II Express Briefs, 2012

Learning the mean: A neural network approach.
Neurocomputing, 2012

2011
Tactile-Data Classification of Contact Materials Using Computational Intelligence.
IEEE Trans. Robotics, 2011

Efficient approximate Regularized Least Squares by Toeplitz matrix.
Pattern Recognit. Lett., 2011

Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications.
Intell. Data Anal., 2011

CUDA Accelerated Blobby Molecular Surface Generation.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

Semantic Oriented Clustering of Documents.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Computational intelligence methods for underwater magnetic-based protection systems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Using unsupervised analysis to constrain generalization bounds for support vector classifiers.
IEEE Trans. Neural Networks, 2010

SeaLab Advanced Information Retrieval.
Proceedings of the 4th IEEE International Conference on Semantic Computing (ICSC 2010), 2010

A neural model approach for regularization in the mean estimation case.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Maximal-discrepancy bounds for regularized classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2009

Circuit implementation of SVM training.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection.
Proceedings of the Computational Intelligence in Security for Information Systems, 2009

Text Clustering for Digital Forensics Analysis.
Proceedings of the Computational Intelligence in Security for Information Systems, 2009

2008
Non-stationary Data Mining: The Network Security Issue.
Proceedings of the Artificial Neural Networks, 2008

Hypermetric k-Means Clustering for Content-Based Document Management.
Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems, 2008

2007
Efficient Implementation of SVM Training on Embedded Electronic Systems.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

2006
Embedded Electronics Systems for Training Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2006


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