Embedded Electronics Systems for Training Support Vector Machines. - Sergio Decherchi; Giovanni Parodi; Paolo Gastaldo; Rodolfo Zunino (IJCNN, 2006)

Efficient Implementation of SVM Training on Embedded Electronic Systems. - Paolo Gastaldo; Giovanni Parodi; Sergio Decherchi; Rodolfo Zunino (WILF, 2007)

Hypermetric k-Means Clustering for Content-Based Document Management. - Sergio Decherchi; Paolo Gastaldo; Judith Redi; Rodolfo Zunino (CISIS, 2008)

Non-stationary Data Mining: The Network Security Issue. - Sergio Decherchi; Paolo Gastaldo; Judith Redi; Rodolfo Zunino (ICANN (2), 2008)

Text Clustering for Digital Forensics Analysis. - Sergio Decherchi; Simone Tacconi; Judith Redi; Alessio Leoncini; Fabio Sangiacomo; Rodolfo Zunino (CISIS, 2009)

A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection. - Davide Leoncini; Sergio Decherchi; Osvaldo Faggioni; Paolo Gastaldo; Maurizio Soldani; Rodolfo Zunino (CISIS, 2009)

Circuit implementation of SVM training. - Sergio Decherchi; Paolo Gastaldo; Mauro Parodi; Rodolfo Zunino (IJCNN, 2009)

Maximal-discrepancy bounds for regularized classifiers. - Sergio Decherchi; Paolo Gastaldo; Judith Redi; Rodolfo Zunino (IJCNN, 2009)

A neural model approach for regularization in the mean estimation case. - Sergio Decherchi; Mauro Parodi; Sandro Ridella (IJCNN, 2010)

SeaLab Advanced Information Retrieval. - Fabio Sangiacomo; Alessio Leoncini; Sergio Decherchi; Paolo Gastaldo; Rodolfo Zunino (ICSC, 2010)

Using unsupervised analysis to constrain generalization bounds for support vector classifiers. - Sergio Decherchi; Sandro Ridella; Rodolfo Zunino; Paolo Gastaldo; Davide Anguita (IEEE Trans. Neural Networks, 2010)

Computational intelligence methods for underwater magnetic-based protection systems. - Sergio Decherchi; Davide Leoncini; Paolo Gastaldo; Rodolfo Zunino; Osvaldo Faggioni; Maurizio Soldani (IJCNN, 2011)

Semantic Oriented Clustering of Documents. - Alessio Leoncini; Fabio Sangiacomo; Sergio Decherchi; Paolo Gastaldo; Rodolfo Zunino (ISNN (3), 2011)

CUDA Accelerated Blobby Molecular Surface Generation. - Daniele D'Agostino; Sergio Decherchi; Antonella Galizia; José Colmenares; Alfonso Quarati; Walter Rocchia; Andrea Clematis (PPAM (1), 2011)

Operative assessment of predicted generalization errors on non-stationary distributions in data-intensive applications. - Sergio Decherchi; Paolo Gastaldo; Fabio Sangiacomo; Alessio Leoncini; Rodolfo Zunino (Intell. Data Anal., 2011)

Efficient approximate Regularized Least Squares by Toeplitz matrix. - Sergio Decherchi; Paolo Gastaldo; Rodolfo Zunino (Pattern Recognit. Lett., 2011)

Tactile-Data Classification of Contact Materials Using Computational Intelligence. - Sergio Decherchi; Paolo Gastaldo; Ravinder S. Dahiya; Maurizio Valle; Rodolfo Zunino (IEEE Trans. Robotics, 2011)

Learning the mean: A neural network approach. - Sergio Decherchi; Mauro Parodi; Sandro Ridella (Neurocomputing, 2012)

Efficient Digital Implementation of Extreme Learning Machines for Classification. - Sergio Decherchi; Paolo Gastaldo; Alessio Leoncini; Rodolfo Zunino (IEEE Trans. Circuits Syst. II Express Briefs, 2012)

Solving the Linearized Poisson-Boltzmann Equation on GPUs Using CUDA. - José Colmenares; Jesús Ortiz 001; Sergio Decherchi; Amir Fijany; Walter Rocchia (PDP, 2013)

Extreme Learning Machines. - Erik Cambria; Guang-Bin Huang; Liyanaarachchi Lekamalage Chamara Kasun; Hongming Zhou; Chi-Man Vong; Jiarun Lin; Jianping Yin; Zhiping Cai; Qiang Liu 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

Circular-ELM for the reduced-reference assessment of perceived image quality. - Sergio Decherchi; Paolo Gastaldo; Rodolfo Zunino; Erik Cambria; Judith Redi (Neurocomputing, 2013)

Semi-supervised machine learning approach for unknown malicious software detection. - Federica Bisio; Paolo Gastaldo; Rodolfo Zunino; Sergio Decherchi (INISTA, 2014)

CUDA accelerated molecular surface generation. - Daniele D'Agostino; Andrea Clematis; Sergio Decherchi; Walter Rocchia; Luciano Milanesi; Ivan Merelli (Concurr. Comput. Pract. Exp., 2014)

A Pipeline To Enhance Ligand Virtual Screening: Integrating Molecular Dynamics and Fingerprints for Ligand and Proteins. - Francesca Spyrakis; Paolo Benedetti; Sergio Decherchi; Walter Rocchia; Andrea Cavalli; Stefano Alcaro; Francesco Ortuso; Massimo Baroni; Gabriele Cruciani (J. Chem. Inf. Model., 2015)

Inductive bias for semi-supervised extreme learning machine. - Federica Bisio; Sergio Decherchi; Paolo Gastaldo; Rodolfo Zunino (Neurocomputing, 2016)

SIM-ELM: Connecting the ELM model with similarity-function learning. - Paolo Gastaldo; Federica Bisio; Sergio Decherchi; Rodolfo Zunino (Neural Networks, 2016)

Distributed Kernel K-Means for Large Scale Clustering. - Marco Jacopo Ferrarotti; Sergio Decherchi; Walter Rocchia (CoRR, 2017)

Import Vector Domain Description: A Kernel Logistic One-Class Learning Algorithm. - Sergio Decherchi; Walter Rocchia (IEEE Trans. Neural Networks Learn. Syst., 2017)

Simple Learning with a Teacher via Biased Regularized Least Squares. - Sergio Decherchi; Andrea Cavalli (LOD, 2018)

BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery. - Sergio Decherchi; Giovanni Bottegoni; Andrea Spitaleri; Walter Rocchia; Andrea Cavalli (J. Chem. Inf. Model., 2018)

Addendum to BiKi Life Sciences: A New Suite for Molecular Dynamics and Related Methods in Drug Discovery. - Sergio Decherchi; Giovanni Bottegoni; Andrea Spitaleri; Walter Rocchia; Andrea Cavalli (J. Chem. Inf. Model., 2018)

NanoShaper-VMD interface: computing and visualizing surfaces, pockets and channels in molecular systems. - Sergio Decherchi; Andrea Spitaleri; John E. Stone; Walter Rocchia (Bioinform., 2019)

Cognitive Insights into Sentic Spaces Using Principal Paths. - Edoardo Ragusa; Paolo Gastaldo; Rodolfo Zunino; Marco Jacopo Ferrarotti; Walter Rocchia; Sergio Decherchi (Cogn. Comput., 2019)

Finding Principal Paths in Data Space. - Marco Jacopo Ferrarotti; Walter Rocchia; Sergio Decherchi (IEEE Trans. Neural Networks Learn. Syst., 2019)

Spathial: an R package for the evolutionary analysis of biological data. - Erika Gardini; Federico M. Giorgi; Sergio Decherchi; Andrea Cavalli (Bioinform., 2020)

Fast and Memory-Efficient Import Vector Domain Description. - Sergio Decherchi; Andrea Cavalli (Neural Process. Lett., 2020)

An Ab Initio Local Principal Path Algorithm. - Erika Gardini; Andrea Cavalli; Sergio Decherchi (IJCNN, 2021)

On the Stability of Feature Selection in Multiomics Data. - Luca Pestarino; Giovanni Fiorito; Silvia Polidoro; Paolo Vineis; Andrea Cavalli; Sergio Decherchi (IJCNN, 2021)

Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks. - Erika Gardini; Marco Jacopo Ferrarotti; Andrea Cavalli; Sergio Decherchi (Cogn. Comput., 2021)

SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis. - Erik Cambria; Qian Liu 012; Sergio Decherchi; Frank Xing; Kenneth Kwok (LREC, 2022)

A Systematic Mapping Study of Italian Research on Workflows. - 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; et al. (SC Workshops, 2023)

Assessing the Effectiveness of Non-Turing Computing Paradigms. - Lorenzo Rocutto; Marco Maronese; Fabio Lorenzo Traversa; Sergio Decherchi; Andrea Cavalli (IEEE Access, 2023)

Molecular Dynamics and Machine Learning Give Insights on the Flexibility-Activity Relationships in Tyrosine Kinome. - Sarmistha Majumdar; Francesco Di Palma; Francesca Spyrakis; Sergio Decherchi; Andrea Cavalli (J. Chem. Inf. Model., 2023)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

Designing RISC-V Instruction Set Extensions for Artificial Neural Networks: An LLVM Compiler-Driven Perspective. - Karthikeyan Kalyanasundaram Balasubramanian; Mirco Di Salvo; Walter Rocchia; Sergio Decherchi; Marco Crepaldi (IEEE Access, 2024)

Faster ISNet for Background Bias Mitigation on Deep Neural Networks. - Pedro R. A. S. Bassi; Sergio Decherchi; Andrea Cavalli (IEEE Access, 2024)

Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning. - Pedro R. A. S. Bassi; Andrea Cavalli; Sergio Decherchi (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

A hybrid federated kernel regularized least squares algorithm. - Celeste Damiani; Yulia Rodina; Sergio Decherchi (Knowl. Based Syst., 2024)

AMCG: a graph dual atomic-molecular conditional molecular generator. - Carlo Abate; Sergio Decherchi; Andrea Cavalli (Mach. Learn. Sci. Technol., 2024)

Label Critic: Design Data Before Models. - Pedro R. A. S. Bassi; Qilong Wu; Wenxuan Li; Sergio Decherchi; Andrea Cavalli; Alan L. Yuille; Zongwei Zhou (ISBI, 2025)

NanoShaperWeb: Molecular Surface and Pocket Detection Made Visual. - Carlo Abate; Eleonora Serra; Walter Rocchia; Andrea Cavalli; Sergio Decherchi (J. Chem. Inf. Model., 2025)

Path-Based Nonequilibrium Binding Free Energy Estimation, from Protein-Ligand to RNA-Ligand Binding. - Eleonora Serra; Alessia Ghidini; Riccardo Aguti; Mattia Bernetti; Sergio Decherchi; Andrea Cavalli (J. Chem. Inf. Model., 2025)

RadGPT: Constructing 3D Image-Text Tumor Datasets. - Pedro R. A. S. Bassi; Mehmet Can Yavuz; Kang Wang 004; Xiaoxi Chen; Wenxuan Li; Sergio Decherchi; Andrea Cavalli; Yang Yang 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

Learning Segmentation from Radiology Reports. - Pedro R. A. S. Bassi; Wenxuan Li; Jieneng Chen; Zheren Zhu; Tianyu Lin; Sergio Decherchi; Andrea Cavalli; Kang Wang 004; Yang Yang 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)