Stochastic optimization algorithms for regenerative deds. - Alexei A. Gaivoronski; Enza Messina (System Modelling and Optimization, 1993)

A statistical generalized programming algorithm for stochastic optimization problems. - Alexei A. Gaivoronski; Enza Messina; Anna Sciomachen (Ann. Oper. Res., 1995)

A stochastic optimization approach for robot scheduling. - Alexei A. Gaivoronski; Enza Messina; Anna Sciomachen (Ann. Oper. Res., 1995)

Computational solution of capacity planning models under uncertainty. - S. A. MirHassani; Cormac Lucas; Gautam Mitra; Enza Messina; Chandra A. Poojari (Parallel Comput., 2000)

Uncertainty and Option Value in Land Allocation Problems. - Vincenzina Messina; Valentina Bosetti (Ann. Oper. Res., 2003)

Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. - Francesco Archetti; Cristina E. Manfredotti; Vincenzina Messina; Domenico G. Sorrenti (ACIVS, 2006)

Classifying and Counting Vehicles in Traffic Control Applications. - Francesco Archetti; Enza Messina; Daniele Toscani; Leonardo Vanneschi (EvoWorkshops, 2006)

A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means. - Francesco Archetti; P. Campanelli; Elisabetta Fersini; Enza Messina (FQAS, 2006)

Genetic programming for human oral bioavailability of drugs. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (GECCO, 2006)

UP-DRES User Profiling for a Dynamic REcommendation System. - Enza Messina; Daniele Toscani; Francesco Archetti (ICDM, 2006)

Integrating stochastic programming and decision tree techniques in land conversion problems. - Vincenzina Messina; Valentina Bosetti (Ann. Oper. Res., 2006)

Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (EvoBIO, 2007)

Towards metabolic networks phylogeny using Petri Net-based expansional analysis. - Stefano Lanzeni; Enza Messina; Francesco Archetti (BMC Syst. Biol., 2007)

Genetic programming for computational pharmacokinetics in drug discovery and development. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2007)

Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain. - Francesco Archetti; Gaia Arosio; Elisabetta Fersini; Enza Messina (ICT4Justice, 2008)

Granular modeling of web documents: impact on information retrieval systems. - Elisabetta Fersini; Enza Messina; Francesco Archetti (WIDM, 2008)

Graph models and mathematical programming in biochemical network analysis and metabolic engineering design. - Stefano Lanzeni; Enza Messina; Francesco Archetti (Comput. Math. Appl., 2008)

Enhancing web page classification through image-block importance analysis. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Inf. Process. Manag., 2008)

Relational Dynamic Bayesian Networks to Improve Multi-target Tracking. - Cristina E. Manfredotti; Enza Messina (ACIVS, 2009)

Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Web Intelligence/IAT Workshops, 2009)

Relations to improve multi-target tracking in an activity recognition system. - Cristina E. Manfredotti; David J. Fleet; Enza Messina (ICDP, 2009)

Multimedia Summarization in Law Courts: An Environment for Browsing and Consulting. - Elisabetta Fersini; Gaia Arosio; Enza Messina; Francesco Archetti; Daniele Toscani (ICT4Justice, 2009)

Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach. - Elisabetta Fersini; Enza Messina; Gaia Arosio; Francesco Archetti (MLDM, 2009)

An integrated communications framework for context aware continuous monitoring with body sensor networks. - Francesco Chiti; Romano Fantacci; Francesco Archetti; Enza Messina; Daniele Toscani (IEEE J. Sel. Areas Commun., 2009)

Semantics and Machine Learning: A New Generation of Court Management Systems. - Elisabetta Fersini; Enza Messina; Francesco Archetti; Mauro Cislaghi (IC3K, 2010)

Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems. - Elisabetta Fersini; Enza Messina; Daniele Toscani; Francesco Archetti; Mauro Cislaghi (KMIS, 2010)

Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders. - Elisabetta Fersini; Enza Messina; Francesco Archetti (ICDM, 2010)

Web Page Classification: A Probabilistic Model with Relational Uncertainty. - Elisabetta Fersini; Enza Messina; Francesco Archetti (IPMU, 2010)

Guest editorial. - Enza Messina; Marcello Sanguineti (Comput. Oper. Res., 2010)

IKNOS: inference and knowledge in networks of sensors. - Daniele Toscani; Francesco Archetti; Marco Frigerio; Enza Messina (Int. J. Sens. Networks, 2010)

A probabilistic relational approach for web document clustering. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Inf. Process. Manag., 2010)

Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach. - Elisabetta Fersini; Enza Messina; Francesco Archetti; Cristina E. Manfredotti (J. Math. Model. Algorithms, 2010)

A Mathematical Model for Optimal Functional Disruption of Biochemical Networks. - Guglielmo Lulli 001; Enza Messina; Francesco Archetti; Stefano Lanzeni (J. Math. Model. Algorithms, 2010)

Multiple Object Tracking with Relations. - Luca Cattelani; Cristina E. Manfredotti; Enza Messina (ICPRAM (1), 2012)

Discovering Gene-Drug Relationships for the Pharmacology of Cancer. - Elisabetta Fersini; Enza Messina; Alberto Leporati (IPMU (2), 2012)

A machine learning approach for generating temporal logic classifications of complex model behaviours. - Daniele Maccagnola; Enza Messina; Qian Gao 001; David R. Gilbert (WSC, 2012)

A new clustering approach for learning transcriptional modules. - Francesco Archetti; Ilaria Giordani; Giancarlo Mauri; Enza Messina (Int. J. Data Min. Bioinform., 2012)

Emotional states in judicial courtrooms: An experimental investigation. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Speech Commun., 2012)

Enhance Polarity Classification on Social Media through Sentiment-based Feature Expansion. - Federico Alberto Pozzi; Elisabetta Fersini; Enza Messina; Daniele Blanc (WOA@AI*IA, 2013)

Enhance User-Level Sentiment Analysis on Microblogs with Approval Relations. - Federico Alberto Pozzi; Daniele Maccagnola; Elisabetta Fersini; Enza Messina (AI*IA, 2013)

Named Entities in Judicial Transcriptions: Extended Conditional Random Fields. - Elisabetta Fersini; Enza Messina (CICLing (1), 2013)

Subject-Dependent Physical Activity Recognition Model Framework with a Semi-supervised Clustering Approach. - Hashim Ali 002; Enza Messina; Roberto Bisiani (EMS, 2013)

Bayesian Model Averaging and Model Selection for Polarity Classification. - Federico Alberto Pozzi; Elisabetta Fersini; Enza Messina (NLDB, 2013)

Web Page Classification through Probabilistic Relational Models. - Elisabetta Fersini; Enza Messina (Int. J. Pattern Recognit. Artif. Intell., 2013)

eMediation - Towards Smart Online Dispute Resolution. - Elisabetta Fersini; Enza Messina; L. Manenti; Giuliana Bagnara; Soufiane El Jelali; Gaia Arosio (KMIS, 2014)

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. - Debora Nozza; Daniele Maccagnola; Vincent Guigue; Enza Messina; Patrick Gallinari (SEFM Workshops, 2014)

A p-Median approach for predicting drug response in tumour cells. - Elisabetta Fersini; Enza Messina; Francesco Archetti (BMC Bioinform., 2014)

Sentiment analysis: Bayesian Ensemble Learning. - Elisabetta Fersini; Enza Messina; Federico Alberto Pozzi (Decis. Support Syst., 2014)

Soft-constrained inference for Named Entity Recognition. - Elisabetta Fersini; Enza Messina; Giovanni Felici; Dan Roth 001 (Inf. Process. Manag., 2014)

A Particle Filtering Approach for Tracking an Unknown Number of Objects with Dynamic Relations. - Luca Cattelani; Cristina E. Manfredotti; Enza Messina (J. Math. Model. Algorithms Oper. Res., 2014)

The Mathematics of Filtering and Its Applications. - Enza Messina; Paresh Date (J. Math. Model. Algorithms Oper. Res., 2014)

Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers. - Elisabetta Fersini; Federico Alberto Pozzi; Enza Messina (DSAA, 2015)

An Interactive Method for Inferring Demographic Attributes in Twitter. - Valentina Beretta; Daniele Maccagnola; Timothy Cribbin; Enza Messina (HT, 2015)

Word Sense Discrimination on Tweets: A Graph-based Approach. - Flavio Massimiliano Cecchini; Elisabetta Fersini; Enza Messina (KDIR, 2015)

Overlapping Kernel-based Community Detection with Node Attributes. - Daniele Maccagnola; Elisabetta Fersini; Rabah Djennadi; Enza Messina (KDIR, 2015)

Legal retrieval as support to eMediation: matching disputant's case and court decisions. - Soufiane El Jelali; Elisabetta Fersini; Enza Messina (Artif. Intell. Law, 2015)

UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets. - Flavio Massimiliano Cecchini; Elisabetta Fersini; Pikakshi Manchanda; Enza Messina; Debora Nozza; Matteo Palmonari; Cezar Sas (CLiC-it/EVALITA, 2016)

Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings. - Debora Nozza; Elisabetta Fersini; Enza Messina (KDIR, 2016)

Deep Learning and Ensemble Methods for Domain Adaptation. - Debora Nozza; Elisabetta Fersini; Enza Messina (ICTAI, 2016)

UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence. - Davide Caliano; Elisabetta Fersini; Pikakshi Manchanda; Matteo Palmonari; Enza Messina (#Microposts, 2016)

Expressive signals in social media languages to improve polarity detection. - Elisabetta Fersini; Enza Messina; Federico Alberto Pozzi (Inf. Process. Manag., 2016)

A Multi-View Sentiment Corpus. - Debora Nozza; Elisabetta Fersini; Enza Messina (EACL (1), 2017)

TWINE: A real-time system for TWeet analysis via INformation Extraction. - Debora Nozza; Fausto Ristagno; Matteo Palmonari; Elisabetta Fersini; Pikakshi Manchanda; Enza Messina (EACL (Software Demonstrations), 2017)

Towards adaptation of named entity classification. - Pikakshi Manchanda; Elisabetta Fersini; Matteo Palmonari; Debora Nozza; Enza Messina (SAC, 2017)

Earthquake management: a decision support system based on natural language processing. - Elisabetta Fersini; Enza Messina; Federico Alberto Pozzi (J. Ambient Intell. Humaniz. Comput., 2017)

Approval network: a novel approach for sentiment analysis in social networks. - Elisabetta Fersini; Federico Alberto Pozzi; Enza Messina (World Wide Web, 2017)

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. - Antonio Candelieri; Wenbin Zhang 002; Enza Messina; Francesco Archetti (IEEE BigData, 2018)

Adapting Named Entity Types to New Ontologies in a Microblogging Environment. - Elisabetta Fersini; Pikakshi Manchanda; Enza Messina; Debora Nozza; Matteo Palmonari (IEA/AIE, 2018)

The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain. - Xuejiao Tang; Jiong Qiu; Wenbin Zhang 002; Ibrahim Toure; Mingli Zhang; Enza Messina; Xueping Xie; Xuebing Wang; Sheng Yu (IEEE BigData, 2019)

Word Embeddings for Unsupervised Named Entity Linking. - Debora Nozza; Cezar Sas; Elisabetta Fersini; Enza Messina (KSEM (2), 2019)

Computers & operations research. - Enza Messina; Elisabetta Fersini; Daniele Vigo; Francesca Guerriero (Comput. Oper. Res., 2019)

Efficient Kernel-based Subsequence Search for User Identification from Walking Activity. - Antonio Candelieri; Stanislav Fedorov; Vincenzina Messina (CoRR, 2019)

Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting. - Antonio Candelieri; Stanislav Fedorov; Enza Messina (Sensors, 2019)

Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models. - Silvia Terragni; Debora Nozza; Elisabetta Fersini; Enza Messina (Insights, 2020)

Using Machine Learning to Automate Mammogram Images Analysis. - Xuejiao Tang; Liuhua Zhang; Wenbin Zhang 002; Xin Huang 005; Vasileios Iosifidis; Zhen Liu 017; Mingli Zhang; Enza Messina; Ji Zhang 001 (BIBM, 2020)

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. - Wenbin Zhang 002; Mingli Zhang; Ji Zhang 001; Zhen Liu 017; Zhiyuan Chen 003; Jianwu Wang 001; Edward Raff; Enza Messina (ICTAI, 2020)

Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks. - Mauro Maria Baldi; Elisabetta Fersini; Enza Messina (LOD (1), 2020)

Optimal Scenario-Tree Selection for Multistage Stochastic Programming. - Bruno G. Galuzzi; Enza Messina; Antonio Candelieri; Francesco Archetti (LOD (1), 2020)

AI, Machine Learning and sentiment analysis applied to financial markets and consumer markets. - Enza Messina; Christina Erlwein-Sayer; Gautam Mitra (Comput. Manag. Sci., 2020)

CAGE: Constrained deep Attributed Graph Embedding. - Debora Nozza; Elisabetta Fersini; Enza Messina (Inf. Sci., 2020)

Constrained Relational Topic Models. - Silvia Terragni; Elisabetta Fersini; Enza Messina (Inf. Sci., 2020)

Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss? - Elisabetta Fersini; Luca Rosato; Antonio Candelieri; Francesco Archetti; Enza Messina (CLiC-it, 2021)

A Decision Support System in the Context of an Applied Game for Telerehabilitation. - Mauro Maria Baldi; Petar Aleksandrov Mavrodiev; Bruno Giovanni Galuzzi; Fabrizia Mantovani; Olivia Realdon; Enza Messina (ICDH, 2021)

A Natural Language Processing Tool to Support the Electronic Invoicing Process in Italy. - Luigi Di Puglia Pugliese; Francesca Guerriero; Giusy Macrina; Enza Messina (IDAACS, 2021)

Word Embedding-Based Topic Similarity Measures. - Silvia Terragni; Elisabetta Fersini; Enza Messina (NLDB, 2021)

LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems. - Debora Nozza; Pikakshi Manchanda; Elisabetta Fersini; Matteo Palmonari; Enza Messina (Inf. Process. Manag., 2021)

Artificial Intelligence facing Multidimensional Poverty in Elderly. - Stefania Bandini; Valeria Marina Borodi; David Chieregato; Marco Cremaschi; Federica D'Antico; Vincenzina Messina; Marco Terraneo; Laura Terzera; Francesca Gasparini (AIxAS@AI*IA, 2022)

A novel framework based on network embedding for the simulation and analysis of disease progression. - Francesco Chiodo; Mario Torchia; Enza Messina; Elisabetta Fersini; Tommaso Mazza; Pietro Hiram Guzzi (BIBM, 2022)

Deep Attributed Graph Embeddings. - Elisabetta Fersini; Simone Paolo Mottadelli; Michele Carbonera; Enza Messina (MDAI, 2022)

SigMaNet: One Laplacian to Rule Them All. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina (AAAI, 2023)

An artificial intelligence approach to predict mutidimensional poverty of older people from unlabelled data. - Lorenzo Olearo; Fabio D'Adda; Vincenzina Messina; Marco Cremaschi; Stefania Bandini; Francesca Gasparini (AIxAS@AI*IA, 2023)

Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation. - Michele Carbonera; Michele Ciavotta; Enza Messina (IEEE Big Data, 2023)

A Three Level Prediction of Multidimensional Poverty in Elderly. - Fabio D'Adda; Marco Cremaschi; Enza Messina; Marco Terraneo; Stefania Bandini; Francesca Gasparini (Ital-IA, 2023)

Problem-Driven Scenario Generation for Stochastic Programming Problems: A Survey. - Xiaochen Chou; Enza Messina (Algorithms, 2023)

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina (AAAI, 2024)

Solving Two-Stage Stochastic Programming Problems via Machine Learning. - Xiaochen Chou; Enza Messina; Stein W. Wallace (LOD (1), 2024)

An integrated computational pipeline for machine learning-driven diagnosis based on Raman spectra of saliva samples. - Dario Bertazioli; Marco Piazza; Cristiano Carlomagno; Alice Gualerzi; Marzia Bedoni; Enza Messina (Comput. Biol. Medicine, 2024)

Facing multidimensional poverty in older adults: An artificial intelligence approach that reveals the variable relevance. - Lorenzo Olearo; Fabio D'Adda; Enza Messina; Marco Cremaschi; Stefania Bandini; Francesca Gasparini (Intelligenza Artificiale, 2024)

A SHAP Quotient Game for Explaining Raman Spectroscopy Classification Models. - Marco Piazza; Mauro Passacantando; Marzia Bedoni; Enza Messina (AIME (1), 2025)

Dynamic User Profiling for Personalized Tourism Recommendations Using Reinforcement Learning Models. - Tommaso Ferrario; Elisabetta Fersini; Enza Messina; Gabriele Sormani (AINA (7), 2025)

Leveraging Topic Models to Extract Tourist Preference from Points of Interest Descriptions. - Elisabetta Fersini; Enza Messina; Francesca Pulerà (AINA (7), 2025)

Cross-Domain Named Entity Recognition: A Resource-Efficient Transfer Learning Approach. - Gianmaria Balducci; Elisabetta Fersini; Enza Messina (NLDB (2), 2025)

Explainable Artificial Intelligence for identifying profitability predictors in Financial Statements. - Marco Piazza; Mauro Passacantando; Francesca Magli; Federica D'Antico; Andrea Amaduzzi; Enza Messina (CoRR, 2025)

A Robust Support Vector Machine Approach for Raman COVID-19 Data Classification. - Marco Piazza; Andrea Spinelli; Francesca Maggioni; Marzia Bedoni; Enza Messina (CoRR, 2025)

Classification methods based on κ-logistic models. - Mauro Maria Baldi; Bruno Giovanni Galuzzi; Enza Messina; Giorgio Kaniadakis (Math. Comput. Simul., 2026)