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ORCIDSergio Decherchi
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2020 – today
- 2024
[j25]Karthikeyan Kalyanasundaram Balasubramanian
, Mirco Di Salvo, Walter Rocchia, Sergio Decherchi, Marco Crepaldi:
Designing RISC-V Instruction Set Extensions for Artificial Neural Networks: An LLVM Compiler-Driven Perspective. IEEE Access 12: 55925-55944 (2024)- [j24]Pedro R. A. S. Bassi, Sergio Decherchi, Andrea Cavalli:
Faster ISNet for Background Bias Mitigation on Deep Neural Networks. IEEE Access 12: 155151-155167 (2024) - [i4]Pedro R. A. S. Bassi, Sergio Decherchi, Andrea Cavalli:
Faster ISNet for Background Bias Mitigation on Deep Neural Networks. CoRR abs/2401.08409 (2024) - [i3]Pedro R. A. S. Bassi, Andrea Cavalli, Sergio Decherchi:
Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning. CoRR abs/2407.09788 (2024) - [i2]Celeste Damiani, Yulia Rodina, Sergio Decherchi:
A Hybrid Federated Kernel Regularized Least Squares Algorithm. CoRR abs/2407.17228 (2024) - 2023
- [j23]Lorenzo Rocutto, Marco Maronese, Fabio Lorenzo Traversa, Sergio Decherchi, Andrea Cavalli:
Assessing the Effectiveness of Non-Turing Computing Paradigms. IEEE Access 11: 98751-98763 (2023) - [j22]Sarmistha Majumdar, Francesco Di Palma, Francesca Spyrakis, Sergio Decherchi, Andrea Cavalli:
Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome. J. Chem. Inf. Model. 63(15): 4814-4826 (2023) - [c20]Marco Aldinucci, Elena Maria Baralis, Valeria Cardellini, Iacopo Colonnelli, Marco Danelutto, Sergio Decherchi, Giuseppe Di Modica, Luca Ferrucci, Marco Gribaudo, Francesco Iannone, Marco Lapegna, Doriana Medic, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega:
A Systematic Mapping Study of Italian Research on Workflows. SC Workshops 2023: 2065-2076 - 2022
- [c19]Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok:
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis. LREC 2022: 3829-3839 - 2021
- [j21]Erika Gardini, Marco Jacopo Ferrarotti, Andrea Cavalli, Sergio Decherchi:
Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks. Cogn. Comput. 13(2): 570-582 (2021) - [c18]Erika Gardini, Andrea Cavalli, Sergio Decherchi:
An Ab Initio Local Principal Path Algorithm. IJCNN 2021: 1-8 - [c17]Luca Pestarino, Giovanni Fiorito, Silvia Polidoro, Paolo Vineis, Andrea Cavalli, Sergio Decherchi:
On the Stability of Feature Selection in Multiomics Data. IJCNN 2021: 1-7 - 2020
- [j20]Erika Gardini, Federico M. Giorgi, Sergio Decherchi, Andrea Cavalli:
Spathial: an R package for the evolutionary analysis of biological data. Bioinform. 36(17): 4664-4667 (2020) - [j19]Sergio Decherchi, Andrea Cavalli:
Fast and Memory-Efficient Import Vector Domain Description. Neural Process. Lett. 52(1): 511-524 (2020)
2010 – 2019
- 2019
- [j18]Sergio Decherchi, Andrea Spitaleri, John E. Stone, Walter Rocchia:
NanoShaper-VMD interface: computing and visualizing surfaces, pockets and channels in molecular systems. Bioinform. 35(7): 1241-1243 (2019) - [j17]Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi:
Cognitive Insights into Sentic Spaces Using Principal Paths. Cogn. Comput. 11(5): 656-675 (2019) - [j16]Marco Jacopo Ferrarotti, Walter Rocchia, Sergio Decherchi:
Finding Principal Paths in Data Space. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2449-2462 (2019) - 2018
- [j15]Sergio Decherchi, Giovanni Bottegoni, Andrea Spitaleri, Walter Rocchia, Andrea Cavalli:
BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery. J. Chem. Inf. Model. 58(2): 219-224 (2018) - [j14]Sergio Decherchi, Giovanni Bottegoni, Andrea Spitaleri, Walter Rocchia, Andrea Cavalli:
Addendum to BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery. J. Chem. Inf. Model. 58(8): 1721 (2018) - [c16]Sergio Decherchi, Andrea Cavalli:
Simple Learning with a Teacher via Biased Regularized Least Squares. LOD 2018: 14-25 - 2017
- [j13]Sergio Decherchi, Walter Rocchia:
Import Vector Domain Description: A Kernel Logistic One-Class Learning Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1722-1729 (2017) - [i1]Marco Jacopo Ferrarotti, Sergio Decherchi, Walter Rocchia:
Distributed Kernel K-Means for Large Scale Clustering. CoRR abs/1710.03013 (2017) - 2016
- [j12]Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Inductive bias for semi-supervised extreme learning machine. Neurocomputing 174: 154-167 (2016) - [j11]Paolo Gastaldo, Federica Bisio, Sergio Decherchi, Rodolfo Zunino:
SIM-ELM: Connecting the ELM model with similarity-function learning. Neural Networks 74: 22-34 (2016) - 2015
- [j10]Francesca Spyrakis, Paolo Benedetti, Sergio Decherchi, Walter Rocchia, Andrea Cavalli, Stefano Alcaro, Francesco Ortuso, Massimo Baroni, Gabriele Cruciani:
A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins. J. Chem. Inf. Model. 55(10): 2256-2274 (2015) - 2014
- [j9]Daniele D'Agostino, Andrea Clematis, Sergio Decherchi, Walter Rocchia, Luciano Milanesi, Ivan Merelli:
CUDA accelerated molecular surface generation. Concurr. Comput. Pract. Exp. 26(10): 1819-1831 (2014) - [c15]Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi:
Semi-supervised machine learning approach for unknown malicious software detection. INISTA 2014: 52-59 - 2013
- [j8]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j7]Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Judith Redi:
Circular-ELM for the reduced-reference assessment of perceived image quality. Neurocomputing 102: 78-89 (2013) - [c14]José Colmenares, Jesús Ortiz, Sergio Decherchi, Amir Fijany, Walter Rocchia:
Solving the Linearized Poisson-Boltzmann Equation on GPUs Using CUDA. PDP 2013: 420-426 - 2012
- [j6]Sergio Decherchi, Mauro Parodi, Sandro Ridella:
Learning the mean: A neural network approach. Neurocomputing 77(1): 129-143 (2012) - [j5]Sergio Decherchi, Paolo Gastaldo, Alessio Leoncini, Rodolfo Zunino:
Efficient Digital Implementation of Extreme Learning Machines for Classification. IEEE Trans. Circuits Syst. II Express Briefs 59-II(8): 496-500 (2012) - 2011
- [j4]Sergio Decherchi, Paolo Gastaldo, Fabio Sangiacomo, Alessio Leoncini, Rodolfo Zunino:
Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications. Intell. Data Anal. 15(2): 193-214 (2011) - [j3]Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Efficient approximate Regularized Least Squares by Toeplitz matrix. Pattern Recognit. Lett. 32(3): 468-475 (2011) - [j2]Sergio Decherchi, Paolo Gastaldo, Ravinder S. Dahiya, Maurizio Valle, Rodolfo Zunino:
Tactile-Data Classification of Contact Materials Using Computational Intelligence. IEEE Trans. Robotics 27(3): 635-639 (2011) - [c13]Sergio Decherchi, Davide Leoncini, Paolo Gastaldo, Rodolfo Zunino, Osvaldo Faggioni, Maurizio Soldani:
Computational intelligence methods for underwater magnetic-based protection systems. IJCNN 2011: 238-245 - [c12]Alessio Leoncini, Fabio Sangiacomo, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Semantic Oriented Clustering of Documents. ISNN (3) 2011: 523-529 - [c11]Daniele D'Agostino, Sergio Decherchi, Antonella Galizia, José Colmenares, Alfonso Quarati, Walter Rocchia, Andrea Clematis:
CUDA Accelerated Blobby Molecular Surface Generation. PPAM (1) 2011: 347-356 - 2010
- [j1]Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita:
Using unsupervised analysis to constrain generalization bounds for support vector classifiers. IEEE Trans. Neural Networks 21(3): 424-438 (2010) - [c10]Sergio Decherchi, Mauro Parodi, Sandro Ridella:
A neural model approach for regularization in the mean estimation case. IJCNN 2010: 1-7 - [c9]Fabio Sangiacomo, Alessio Leoncini, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
SeaLab Advanced Information Retrieval. ICSC 2010: 444-445
2000 – 2009
- 2009
- [c8]Sergio Decherchi, Simone Tacconi, Judith Redi, Alessio Leoncini, Fabio Sangiacomo, Rodolfo Zunino:
Text Clustering for Digital Forensics Analysis. CISIS 2009: 29-36 - [c7]Davide Leoncini, Sergio Decherchi, Osvaldo Faggioni, Paolo Gastaldo, Maurizio Soldani, Rodolfo Zunino:
A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection. CISIS 2009: 37-44 - [c6]Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino:
Circuit implementation of SVM training. IJCNN 2009: 646-651 - [c5]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Maximal-discrepancy bounds for regularized classifiers. IJCNN 2009: 652-656 - 2008
- [c4]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Hypermetric k-Means Clustering for Content-Based Document Management. CISIS 2008: 61-68 - [c3]Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Non-stationary Data Mining: The Network Security Issue. ICANN (2) 2008: 32-41 - 2007
- [c2]Paolo Gastaldo, Giovanni Parodi, Sergio Decherchi, Rodolfo Zunino:
Efficient Implementation of SVM Training on Embedded Electronic Systems. WILF 2007: 269-276 - 2006
- [c1]Sergio Decherchi, Giovanni Parodi, Paolo Gastaldo, Rodolfo Zunino:
Embedded Electronics Systems for Training Support Vector Machines. IJCNN 2006: 2838-2844
Coauthor Index
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last updated on 2024-11-08 21:31 CET by the dblp team
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