Enrico Blanzieri

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 27

Top Topics

Nearest Neighbor

Distance Estimation

Causal Relations

Secondary Structure

Top Venues

Quantum Inf. Comput.

Quantum Mach. Intell.

Quantum Inf. Process.

Publications

Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello
Local Binary and Multiclass SVMs Trained on a Quantum Annealer. CoRR (2024)
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
Ensembles of quantum classifiers. Quantum Inf. Comput. 24 (3&4) (2024)
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. Quantum Mach. Intell. 6 (1) (2024)
Diana Dolgaleva, Camilla Pelagalli, Stefania Pilati, Enrico Blanzieri, Valter Cavecchia, Sergey Astafiev, Alexander S. Rumyantsev
Pair of Genes: Technical Validation of Distributed Causal Role Attribution to Gene Network Expansion. PaCT (2023)
Chiara Bassetti, Enrico Blanzieri, Stefano Borgo, Sofia Marangon
Towards socially-competent and culturally-adaptive artificial agents Expressive order, interactional disruptions and recovery strategies. CoRR (2023)
Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander S. Rumyantsev, Mariia Maltseva
Evaluating the convergence of tabu enhanced hybrid quantum optimization. Quantum Inf. Process. 22 (5) (2023)
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. CoRR (2023)
Emiliano Tolotti, Enrico Zardini, Enrico Blanzieri, Davide Pastorello
Ensembles of Quantum Classifiers. CoRR (2023)
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello
Reconstructing Bayesian Networks on a Quantum Annealer. CoRR (2022)
Enrico Zardini, Enrico Blanzieri, Davide Pastorello
Implementation and Empirical Evaluation of a Quantum Machine Learning Pipeline for Local Classification. CoRR (2022)
Enrico Zardini, Massimo Rizzoli, Sebastiano Dissegna, Enrico Blanzieri, Davide Pastorello
annealer. Quantum Inf. Comput. 22 (15&16) (2022)
Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello
Quantum Annealing Learning Search Implementations. CoRR (2022)
Enrico Blanzieri, Davide Pastorello, Valter Cavecchia, Alexander Rumyantsev, Maria Maltseva
Evaluating the Convergence of Tabu Enhanced Hybrid Quantum Optimization. CoRR (2022)
Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello
Quantum annealing learning search implementations. Quantum Inf. Comput. 22 (3&4) (2022)
Davide Pastorello, Enrico Blanzieri
A Quantum Binary Classifier based on Cosine Similarity. QCE (2021)
Davide Pastorello, Enrico Blanzieri, Valter Cavecchia
Learning adiabatic quantum algorithms over optimization problems. Quantum Mach. Intell. 3 (1) (2021)
Enrico Blanzieri, Toma Tebaldi, Valter Cavecchia, Francesco Asnicar, Luca Masera, Gabriele Tomé, Eleonora Nigro, Enrica Colasurdo, Matteo Ciciani, Chiara Mazzoni, Stefania Pilati
A Computing System for Discovering Causal Relationships Among Human Genes to Improve Drug Repositioning. IEEE Trans. Emerg. Top. Comput. 9 (4) (2021)
Davide Pastorello, Enrico Blanzieri
Quantum annealing learning search for solving QUBO problems. Quantum Inf. Process. 18 (10) (2019)
Stefano Borgo, Enrico Blanzieri
Trait-Based Module for Culturally-Competent Robots. Int. J. Humanoid Robotics 16 (6) (2019)
Luca Masera, Enrico Blanzieri
Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality. ESANN (2019)
Francesco Asnicar, Luca Masera, Davide Pistore, Samuel Valentini, Valter Cavecchia, Enrico Blanzieri
OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC. PDP (2019)
Luca Masera, Enrico Blanzieri
AWX: An Integrated Approach to Hierarchical-Multilabel Classification. ECML/PKDD (1) (2018)
Francesco Asnicar, Luca Masera, Emanuela Coller, Caterina Gallo, Nadir Sella, Thomas Tolio, Paolo Morettin, Luca Erculiani, Francesca Galante, Stanislau Semeniuta, Giulia Malacarne, Kristof Engelen, Andrea Argentini, Valter Cavecchia, Claudio Moser, Enrico Blanzieri
RA. Int. J. High Perform. Comput. Appl. 32 (3) (2018)
Stefano Borgo, Enrico Blanzieri
Trait-based Culture and its Organization: Developing a Culture Enabler for Artificial Agents. IROS (2018)
Luca Masera, Enrico Blanzieri
Very Simple Classifier: a Concept Binary Classifier toInvestigate Features Based on Subsampling and Localility. CoRR (2016)
Moumita Roy, Farid Melgani, Ashish Ghosh, Enrico Blanzieri, Susmita Ghosh
Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns. IEEE Geosci. Remote. Sens. Lett. 12 (6) (2015)
Francesco Asnicar, Luca Erculiani, Francesca Galante, Caterina Gallo, Luca Masera, Paolo Morettin, Nadir Sella, Stanislau Semeniuta, Thomas Tolio, Giulia Malacarne, Kristof Engelen, Andrea Argentini, Valter Cavecchia, Claudio Moser, Enrico Blanzieri
Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing. TrustCom/BigDataSE/ISPA (3) (2015)
Carmen Maria Livi, Enrico Blanzieri
Protein-specific prediction of mRNA binding using RNA sequences, binding motifs and predicted secondary structures. BMC Bioinform. 15 (2014)
Yuexu Jiang, Yan Wang, Wei Pang, Liang Chen, Huiyan Sun, Yanchun Liang, Enrico Blanzieri
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. BIBM (2014)
Wei Du, Zhongbo Cao, Yan Wang, Enrico Blanzieri, Chen Zhang, Yanchun Liang
Operon prediction by Markov clustering. Int. J. Data Min. Bioinform. 9 (4) (2014)
Andrea Argentini, Enrico Blanzieri
Ranking Aggregation Based on Belief Function. IPMU (3) (2012)
Carmen Maria Livi, Luc Paillard, Enrico Blanzieri, Yann Audic
Identification of Regulatory Binding Sites on mRNA Using in Vivo Derived Informations and SVMs. PACBB (2012)
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgini
Implicit: a multi-agent recommendation system for web search. Auton. Agents Multi Agent Syst. 24 (1) (2012)
Nicola Segata, Enrico Blanzieri
Operators for transforming kernels into quasi-local kernels that improve SVM accuracy. J. Intell. Inf. Syst. 37 (2) (2011)
Nicola Segata, Enrico Blanzieri, Sarah Jane Delany, Padraig Cunningham
Noise reduction for instance-based learning with a local maximal margin approach. J. Intell. Inf. Syst. 35 (2) (2010)
Mikalai Krapivin, Aliaksandr Autayeu, Maurizio Marchese, Enrico Blanzieri, Nicola Segata
Keyphrases Extraction from Scientific Documents: Improving Machine Learning Approaches with Natural Language Processing. ICADL (2010)
Nicola Segata, Enrico Blanzieri
Fast and Scalable Local Kernel Machines. J. Mach. Learn. Res. 11 (2010)
Luca Pasolli, Farid Melgani, Enrico Blanzieri
Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 7 (3) (2010)
Andrea Argentini, Enrico Blanzieri
About Neighborhood Counting Measure Metric and Minimum Risk Metric. IEEE Trans. Pattern Anal. Mach. Intell. 32 (4) (2010)
Chen Zhang, Chunguo Wu, Enrico Blanzieri, You Zhou, Yan Wang, Wei Du, Yanchun Liang
Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model. Bioinform. 25 (20) (2009)
Nicola Segata, Enrico Blanzieri, Padraig Cunningham
A Scalable Noise Reduction Technique for Large Case-Based Systems. ICCBR (2009)
Nicola Segata, Enrico Blanzieri
Fast Local Support Vector Machines for Large Datasets. MLDM (2009)
Nicola Segata, Enrico Blanzieri
-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae. Trans. Comp. Sys. Biology 10 (2008)
Enrico Blanzieri, Anton Bryl
A survey of learning-based techniques of email spam filtering. Artif. Intell. Rev. 29 (1) (2008)
Xiaoyue Feng, Enrico Blanzieri, Yanchun Liang
Improved Quantum-Inspired Evolutionary Algorithm and Its Application to 3-SAT Problems. CSSE (1) (2008)
Luca Pasolli, Farid Melgani, Enrico Blanzieri
Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes. IGARSS (2) (2008)
Nicola Segata, Enrico Blanzieri, Corrado Priami
Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data. J. Integr. Bioinform. 5 (1) (2008)
Enrico Blanzieri, Farid Melgani
Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle. IEEE Trans. Geosci. Remote. Sens. 46 (6) (2008)
Andrea Malossini, Enrico Blanzieri, T. Calarco
Quantum Genetic Optimization. IEEE Trans. Evol. Comput. 12 (2) (2008)
Aliaksandr Birukou, Enrico Blanzieri, Vincenzo D'Andrea, Paolo Giorgini, Natallia Kokash, Alessio Modena
IC-service: a service-oriented approach to the development of recommendation systems. SAC (2007)
Enrico Blanzieri, Anton Bryl
Evaluation of the Highest Probability SVM Nearest Neighbor Classifier with Variable Relative Error Cost. CEAS (2007)
Enrico Blanzieri, Anton Bryl
Instance-Based Spam Filtering Using SVM Nearest Neighbor Classifier. FLAIRS Conference (2007)
Aliaksandr Birukou, Enrico Blanzieri, Vincenzo D'Andrea, Paolo Giorgini, Natallia Kokash
Improving Web Service Discovery with Usage Data. IEEE Softw. 24 (6) (2007)
Andrea Malossini, Enrico Blanzieri, Raymond T. Ng
Detecting potential labeling errors in microarrays by data perturbation. Bioinform. 22 (17) (2006)
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgini
A multi-agent system that facilitates scientific publications search. AAMAS (2006)
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgini
: an agent-based recommendation system for web search. AAMAS (2005)
Claudia Berruquier, Enrico Blanzieri, Alessandro Ebranati
CBR Naïve Interaction in a Web-Based System for Tourism. ENTER (2005)
Marcello Sarini, Enrico Blanzieri, Paolo Giorgini, Claudio Moser
From actions to affordances: supporting the work of biologists through laboratory notebooks. COOP (2004)
Andrea Sboner, Claudio Eccher, Enrico Blanzieri, Paolo Bauer, Mario Cristofolini, Giuseppe Zumiani, Stefano Forti
A multiple classifier system for early melanoma diagnosis. Artif. Intell. Medicine 27 (1) (2003)
Enrico Blanzieri, Paolo Giorgini, Fausto Giunchiglia, Claudio Zanoni
Implicit Culture-Based Personal Agents for Knowledge Management. AMKM (2003)
Enrico Blanzieri, Paolo Giorgini, Claudio Zanoni, Fausto Giunchiglia
A Multi-agent System for Knowledge Management based on the Implicit Culture Framework. Wissensmanagement (2003)
Enrico Blanzieri, Paolo Giorgini
Implicit Culture for Information Agents. AgentLink (2003)
Enrico Blanzieri
A Cognitive Framework for Personalization of the CBR Cycle. ECCBR Workshops (2002)
Enrico Blanzieri, Paolo Giorgini, Fausto Giunchiglia, Claudio Zanoni
A Multi-agent System for Knowledge Management based on the Implicit Culture Framework. WOA (2002)
Enrico Blanzieri, Paolo Giorgini, Paolo Massa, Sabrina Recla
Implicit Culture for Multi-agent Interaction Support. CoopIS (2001)
Enrico Blanzieri, Paolo Giorgini, Paolo Massa, Sabrina Recla
Information Access in Implicit Culture Framework. CIKM (2001)
Enrico Blanzieri, Alessandro Ebranati
Supporting Tourism Culture via CBR. EWCBR (2000)
Enrico Blanzieri, Claudio Eccher, Stefano Forti, Andrea Sboner
Exploiting Classifier Combination for Early Melanoma Diagnosis Support. ECML (2000)
Enrico Blanzieri, Francesco Ricci
Probability Based Metrics for Nearest Neighbor Classification and Case-Based Reasoning. ICCBR (1999)
Paolo Avesani, Enrico Blanzieri
Adaptation-Dependent Retrieval Problem: A Formal Definition. ICCBR Workshops (1999)
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
Advanced Metrics for Class-Driven Similarity Search. DEXA Workshop (1999)
Enrico Blanzieri, Francesco Ricci
A Minimum Risk Metric for Nearest Neighbor Classification. ICML (1999)
Enrico Blanzieri, Patrick Katenkamp
Learning Radial Basis Function Networks On-line. ICML (1996)
Enrico Blanzieri, Attilio Giordana
Mapping Symbolic Knowledge into Locally Receptive Field Networks. AI*IA (1995)
Enrico Blanzieri, Fabio Grandi, Dario Maio
High-order behaviour in learning gate networks with lateral inhibition. Biol. Cybern. 74 (1) (1995)