Mapping Symbolic Knowledge into Locally Receptive Field Networks. - Enrico Blanzieri; Attilio Giordana (AI*IA, 1995)

High-order behaviour in learning gate networks with lateral inhibition. - Enrico Blanzieri; Fabio Grandi 001; Dario Maio (Biol. Cybern., 1995)

Learning Radial Basis Function Networks On-line. - Enrico Blanzieri; Patrick Katenkamp (ICML, 1996)

Advanced Metrics for Class-Driven Similarity Search. - Paolo Avesani; Enrico Blanzieri; Francesco Ricci 001 (DEXA Workshop, 1999)

Adaptation-Dependent Retrieval Problem: A Formal Definition. - Paolo Avesani; Enrico Blanzieri (ICCBR Workshops, 1999)

Probability Based Metrics for Nearest Neighbor Classification and Case-Based Reasoning. - Enrico Blanzieri; Francesco Ricci 001 (ICCBR, 1999)

A Minimum Risk Metric for Nearest Neighbor Classification. - Enrico Blanzieri; Francesco Ricci 001 (ICML, 1999)

Exploiting Classifier Combination for Early Melanoma Diagnosis Support. - Enrico Blanzieri; Claudio Eccher; Stefano Forti 001; Andrea Sboner (ECML, 2000)

Supporting Tourism Culture via CBR. - Enrico Blanzieri; Alessandro Ebranati (EWCBR, 2000)

Information Access in Implicit Culture Framework. - Enrico Blanzieri; Paolo Giorgini; Paolo Massa; Sabrina Recla (CIKM, 2001)

Implicit Culture for Multi-agent Interaction Support. - Enrico Blanzieri; Paolo Giorgini; Paolo Massa; Sabrina Recla (CoopIS, 2001)

A Cognitive Framework for Personalization of the CBR Cycle. - Enrico Blanzieri (ECCBR Workshops, 2002)

Implicit Culture for Information Agents. - Enrico Blanzieri; Paolo Giorgini (AgentLink, 2003)

Implicit Culture-Based Personal Agents for Knowledge Management. - Enrico Blanzieri; Paolo Giorgini; Fausto Giunchiglia; Claudio Zanoni (AMKM, 2003)

A Multi-agent System for Knowledge Management based on the Implicit Culture Framework. - Enrico Blanzieri; Paolo Giorgini; Claudio Zanoni; Fausto Giunchiglia (Wissensmanagement, 2003)

A multiple classifier system for early melanoma diagnosis. - Andrea Sboner; Claudio Eccher; Enrico Blanzieri; Paolo Bauer; Mario Cristofolini; Giuseppe Zumiani; Stefano Forti 001 (Artif. Intell. Medicine, 2003)

From actions to affordances: supporting the work of biologists through laboratory notebooks. - Marcello Sarini; Enrico Blanzieri; Paolo Giorgini; Claudio Moser (COOP, 2004)

Implicit: an agent-based recommendation system for web search. - Aliaksandr Birukou; Enrico Blanzieri; Paolo Giorgini (AAMAS, 2005)

CBR Naïve Interaction in a Web-Based System for Tourism. - Claudia Berruquier; Enrico Blanzieri; Alessandro Ebranati (ENTER, 2005)

A multi-agent system that facilitates scientific publications search. - Aliaksandr Birukou; Enrico Blanzieri; Paolo Giorgini (AAMAS, 2006)

Detecting potential labeling errors in microarrays by data perturbation. - Andrea Malossini; Enrico Blanzieri; Raymond T. Ng (Bioinform., 2006)

Evaluation of the Highest Probability SVM Nearest Neighbor Classifier with Variable Relative Error Cost. - Enrico Blanzieri; Anton Bryl (CEAS, 2007)

Instance-Based Spam Filtering Using SVM Nearest Neighbor Classifier. - Enrico Blanzieri; Anton Bryl (FLAIRS, 2007)

IC-service: a service-oriented approach to the development of recommendation systems. - Aliaksandr Birukou; Enrico Blanzieri; Vincenzo D'Andrea; Paolo Giorgini; Natallia Kokash; Alessio Modena (SAC, 2007)

Improving Web Service Discovery with Usage Data. - Aliaksandr Birukou; Enrico Blanzieri; Vincenzo D'Andrea; Paolo Giorgini; Natallia Kokash (IEEE Softw., 2007)

Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems. - Xiaoyue Feng; Enrico Blanzieri; Yanchun Liang 001 (CSSE (1), 2008)

Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes. - Luca Pasolli; Farid Melgani; Enrico Blanzieri (IGARSS (2), 2008)

A survey of learning-based techniques of email spam filtering. - Enrico Blanzieri; Anton Bryl (Artif. Intell. Rev., 2008)

Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data. - Nicola Segata; Enrico Blanzieri; Corrado Priami (J. Integr. Bioinform., 2008)

Stochastic pi-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae. - Nicola Segata; Enrico Blanzieri (Trans. Comp. Sys. Biology, 2008)

Quantum Genetic Optimization. - Andrea Malossini; Enrico Blanzieri; Tommaso Calarco (IEEE Trans. Evol. Comput., 2008)

Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle. - Enrico Blanzieri; Farid Melgani (IEEE Trans. Geosci. Remote. Sens., 2008)

A Scalable Noise Reduction Technique for Large Case-Based Systems. - Nicola Segata; Enrico Blanzieri; Padraig Cunningham (ICCBR, 2009)

Fast Local Support Vector Machines for Large Datasets. - Nicola Segata; Enrico Blanzieri (MLDM, 2009)

Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model. - Chen Zhang; Chunguo Wu; Enrico Blanzieri; You Zhou 008; Yan Wang 028; Wei Du 002; Yanchun Liang 001 (Bioinform., 2009)

Keyphrases Extraction from Scientific Documents: Improving Machine Learning Approaches with Natural Language Processing. - Mikalai Krapivin; Aliaksandr Autayeu; Maurizio Marchese; Enrico Blanzieri; Nicola Segata (ICADL, 2010)

Noise reduction for instance-based learning with a local maximal margin approach. - Nicola Segata; Enrico Blanzieri; Sarah Jane Delany; Padraig Cunningham (J. Intell. Inf. Syst., 2010)

Fast and Scalable Local Kernel Machines. - Nicola Segata; Enrico Blanzieri (J. Mach. Learn. Res., 2010)

Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data. - Luca Pasolli; Farid Melgani; Enrico Blanzieri (IEEE Geosci. Remote. Sens. Lett., 2010)

About Neighborhood Counting Measure Metric and Minimum Risk Metric. - Andrea Argentini; Enrico Blanzieri (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Operators for transforming kernels into quasi-local kernels that improve SVM accuracy. - Nicola Segata; Enrico Blanzieri (J. Intell. Inf. Syst., 2011)

Ranking Aggregation Based on Belief Function. - Andrea Argentini; Enrico Blanzieri (IPMU (3), 2012)

Identification of Regulatory Binding Sites on mRNA Using in Vivo Derived Informations and SVMs. - Carmen Maria Livi; Luc Paillard; Enrico Blanzieri; Yann Audic (PACBB, 2012)

Implicit: a multi-agent recommendation system for web search. - Aliaksandr Birukou; Enrico Blanzieri; Paolo Giorgini (Auton. Agents Multi Agent Syst., 2012)

Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. - Yuexu Jiang; Yan Wang 028; Wei Pang 001; Liang Chen 021; Huiyan Sun; Yanchun Liang 001; Enrico Blanzieri (BIBM, 2014)

Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. - Carmen Maria Livi; Enrico Blanzieri (BMC Bioinform., 2014)

Operon prediction by Markov clustering. - Wei Du 002; Zhongbo Cao; Yan Wang 028; Enrico Blanzieri; Chen Zhang; Yanchun Liang 001 (Int. J. Data Min. Bioinform., 2014)

Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing. - Francesco Asnicar; Luca Erculiani; Francesca Galante; Caterina Gallo; Luca Masera; Paolo Morettin; Nadir Sella; Stanislau Semeniuta; Thomas Tolio; Giulia Malacarne; Kristof Engelen; Andrea Argentini; et al. (TrustCom/BigDataSE/ISPA (3), 2015)

Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns. - Moumita Roy; Farid Melgani; Ashish Ghosh; Enrico Blanzieri; Susmita Ghosh (IEEE Geosci. Remote. Sens. Lett., 2015)

Very Simple Classifier: a Concept Binary Classifier toInvestigate Features Based on Subsampling and Localility. - Luca Masera; Enrico Blanzieri (CoRR, 2016)

Trait-based Culture and its Organization: Developing a Culture Enabler for Artificial Agents. - Stefano Borgo; Enrico Blanzieri (IROS, 2018)

AWX: An Integrated Approach to Hierarchical-Multilabel Classification. - Luca Masera; Enrico Blanzieri (ECML/PKDD (1), 2018)

NES2RA. - Francesco Asnicar; Luca Masera; Emanuela Coller; Caterina Gallo; Nadir Sella; Thomas Tolio; Paolo Morettin; Luca Erculiani; Francesca Galante; Stanislau Semeniuta; Giulia Malacarne; Kristof Engelen; et al. (Int. J. High Perform. Comput. Appl., 2018)

Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality. - Luca Masera; Enrico Blanzieri (ESANN, 2019)

OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC. - Francesco Asnicar; Luca Masera; Davide Pistore; Samuel Valentini; Valter Cavecchia; Enrico Blanzieri (PDP, 2019)

Trait-Based Module for Culturally-Competent Robots. - Stefano Borgo; Enrico Blanzieri (Int. J. Humanoid Robotics, 2019)

Quantum annealing learning search for solving QUBO problems. - Davide Pastorello; Enrico Blanzieri (Quantum Inf. Process., 2019)

A Quantum Binary Classifier based on Cosine Similarity. - Davide Pastorello; Enrico Blanzieri (QCE, 2021)

Learning adiabatic quantum algorithms over optimization problems. - Davide Pastorello; Enrico Blanzieri; Valter Cavecchia (Quantum Mach. Intell., 2021)

A Computing System for Discovering Causal Relationships Among Human Genes to Improve Drug Repositioning. - Enrico Blanzieri; Toma Tebaldi; Valter Cavecchia; Francesco Asnicar; Luca Masera; Gabriele Tomé; Eleonora Nigro; Enrica Colasurdo; Matteo Ciciani; Chiara Mazzoni; Stefania Pilati (IEEE Trans. Emerg. Top. Comput., 2021)

Reconstructing Bayesian Networks on a Quantum Annealer. - Enrico Zardini; Massimo Rizzoli; Sebastiano Dissegna; Enrico Blanzieri; Davide Pastorello (CoRR, 2022)

Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification. - Enrico Zardini; Enrico Blanzieri; Davide Pastorello (CoRR, 2022)

Quantum annealing learning search implementations. - Andrea Bonomi; Thomas De Min; Enrico Zardini; Enrico Blanzieri; Valter Cavecchia; Davide Pastorello (Quantum Inf. Comput., 2022)

annealer. - Enrico Zardini; Massimo Rizzoli; Sebastiano Dissegna; Enrico Blanzieri; Davide Pastorello (Quantum Inf. Comput., 2022)

Pair of Genes: Technical Validation of Distributed Causal Role Attribution to Gene Network Expansion. - Diana Dolgaleva; Camilla Pelagalli; Stefania Pilati; Enrico Blanzieri; Valter Cavecchia; Sergey Astafiev; Alexander S. Rumyantsev (PaCT, 2023)

Towards socially-competent and culturally-adaptive artificial agents Expressive order, interactional disruptions and recovery strategies. - Chiara Bassetti; Enrico Blanzieri; Stefano Borgo; Sofia Marangon (CoRR, 2023)

Evaluating the convergence of tabu enhanced hybrid quantum optimization. - Enrico Blanzieri; Davide Pastorello; Valter Cavecchia; Alexander S. Rumyantsev; Maria Maltseva (Quantum Inf. Process., 2023)

Rule enforcement in LLMs: a parameter efficient fine-tuning approach with self-generated training dataset. - Daniele Franch; Pierluigi Roberti; Enrico Blanzieri (AIxHMI@AI*IA, 2024)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer. - Enrico Zardini; Amer Delilbasic; Enrico Blanzieri; Gabriele Cavallaro; Davide Pastorello (CoRR, 2024)

Ensembles of quantum classifiers. - Emiliano Tolotti; Enrico Zardini; Enrico Blanzieri; Davide Pastorello (Quantum Inf. Comput., 2024)

A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. - Enrico Zardini; Enrico Blanzieri; Davide Pastorello (Quantum Mach. Intell., 2024)

Consensus ranking by quantum annealing. - Daniele Franch; Enrico Zardini; Enrico Blanzieri; Davide Pastorello (CoRR, 2025)

A weighted quantum ensemble of homogeneous quantum classifiers. - Emiliano Tolotti; Enrico Blanzieri; Davide Pastorello (CoRR, 2025)

Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test. - Sebastian Nagies; Emiliano Tolotti; Davide Pastorello; Enrico Blanzieri (CoRR, 2025)