Enza Messina

Orcid: 0000-0002-4062-0824

Affiliations:
  • University of Milano Bicocca, Italy


According to our database1, Enza Messina authored at least 95 papers between 1993 and 2024.

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Bibliography

2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Problem-Driven Scenario Generation for Stochastic Programming Problems: A Survey.
Algorithms, 2023

A Three Level Prediction of Multidimensional Poverty in Elderly.
Proceedings of the Italia Intelligenza Artificiale, 2023

Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation.
Proceedings of the IEEE International Conference on Big Data, 2023

An artificial intelligence approach to predict mutidimensional poverty of older people from unlabelled data.
Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

SigMaNet: One Laplacian to Rule Them All.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep Attributed Graph Embeddings.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2022

A novel framework based on network embedding for the simulation and analysis of disease progression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Artificial Intelligence facing Multidimensional Poverty in Elderly.
Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2022 co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine (UD), Italy, November 28th, 2022

2021
LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems.
Inf. Process. Manag., 2021

Word Embedding-Based Topic Similarity Measures.
Proceedings of the Natural Language Processing and Information Systems, 2021

A Natural Language Processing Tool to Support the Electronic Invoicing Process in Italy.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

A Decision Support System in the Context of an Applied Game for Telerehabilitation.
Proceedings of the IEEE International Conference on Digital Health, 2021

Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss?
Proceedings of the Eighth Italian Conference on Computational Linguistics, 2021

2020
Constrained Relational Topic Models.
Inf. Sci., 2020

CAGE: Constrained deep Attributed Graph Embedding.
Inf. Sci., 2020

AI, Machine Learning and sentiment analysis applied to financial markets and consumer markets.
Comput. Manag. Sci., 2020

Optimal Scenario-Tree Selection for Multistage Stochastic Programming.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Using Machine Learning to Automate Mammogram Images Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models.
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019
Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting.
Sensors, 2019

Efficient Kernel-based Subsequence Search for User Identification from Walking Activity.
CoRR, 2019

Computers & operations research.
Comput. Oper. Res., 2019

Word Embeddings for Unsupervised Named Entity Linking.
Proceedings of the Knowledge Science, Engineering and Management, 2019

The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Adapting Named Entity Types to New Ontologies in a Microblogging Environment.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Approval network: a novel approach for sentiment analysis in social networks.
World Wide Web, 2017

Earthquake management: a decision support system based on natural language processing.
J. Ambient Intell. Humaniz. Comput., 2017

Towards adaptation of named entity classification.
Proceedings of the Symposium on Applied Computing, 2017

TWINE: A real-time system for TWeet analysis via INformation Extraction.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Multi-View Sentiment Corpus.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Expressive signals in social media languages to improve polarity detection.
Inf. Process. Manag., 2016

UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence.
Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016), 2016

Deep Learning and Ensemble Methods for Domain Adaptation.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets.
Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), 2016

2015
Legal retrieval as support to eMediation: matching disputant's case and court decisions.
Artif. Intell. Law, 2015

Overlapping Kernel-based Community Detection with Node Attributes.
Proceedings of the KDIR 2015, 2015

Word Sense Discrimination on Tweets: A Graph-based Approach.
Proceedings of the KDIR 2015, 2015

An Interactive Method for Inferring Demographic Attributes in Twitter.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
The Mathematics of Filtering and Its Applications.
J. Math. Model. Algorithms Oper. Res., 2014

A Particle Filtering Approach for Tracking an Unknown Number of Objects with Dynamic Relations.
J. Math. Model. Algorithms Oper. Res., 2014

Soft-constrained inference for Named Entity Recognition.
Inf. Process. Manag., 2014

Sentiment analysis: Bayesian Ensemble Learning.
Decis. Support Syst., 2014

A p-Median approach for predicting drug response in tumour cells.
BMC Bioinform., 2014

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks.
Proceedings of the Software Engineering and Formal Methods, 2014

eMediation - Towards Smart Online Dispute Resolution.
Proceedings of the KMIS 2014, 2014

2013
Web Page Classification through Probabilistic Relational Models.
Int. J. Pattern Recognit. Artif. Intell., 2013

Bayesian Model Averaging and Model Selection for Polarity Classification.
Proceedings of the Natural Language Processing and Information Systems, 2013

Subject-Dependent Physical Activity Recognition Model Framework with a Semi-supervised Clustering Approach.
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 2013

Named Entities in Judicial Transcriptions: Extended Conditional Random Fields.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

Enhance User-Level Sentiment Analysis on Microblogs with Approval Relations.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

Enhance Polarity Classification on Social Media through Sentiment-based Feature Expansion.
Proceedings of the 14th Workshop "From Objects to Agents" co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012
Emotional states in judicial courtrooms: An experimental investigation.
Speech Commun., 2012

A new clustering approach for learning transcriptional modules.
Int. J. Data Min. Bioinform., 2012

A machine learning approach for generating temporal logic classifications of complex model behaviours.
Proceedings of the Winter Simulation Conference, 2012

Discovering Gene-Drug Relationships for the Pharmacology of Cancer.
Proceedings of the Advances on Computational Intelligence, 2012

Multiple Object Tracking with Relations.
Proceedings of the ICPRAM 2012, 2012

2010
A Mathematical Model for Optimal Functional Disruption of Biochemical Networks.
J. Math. Model. Algorithms, 2010

Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach.
J. Math. Model. Algorithms, 2010

A probabilistic relational approach for web document clustering.
Inf. Process. Manag., 2010

IKNOS: inference and knowledge in networks of sensors.
Int. J. Sens. Networks, 2010

Guest editorial.
Comput. Oper. Res., 2010

Web Page Classification: A Probabilistic Model with Relational Uncertainty.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems.
Proceedings of the KMIS 2010, 2010

Semantics and Machine Learning: A New Generation of Court Management Systems.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2010

2009
An integrated communications framework for context aware continuous monitoring with body sensor networks.
IEEE J. Sel. Areas Commun., 2009

Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Multimedia Summarization in Law Courts: An Environment for Browsing and Consulting.
Proceedings of the 2<sup>nd</sup> International Conference on ICT Solutions for Justice, 2009

Relations to improve multi-target tracking in an activity recognition system.
Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention, 2009

Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

Relational Dynamic Bayesian Networks to Improve Multi-target Tracking.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

2008
Enhancing web page classification through image-block importance analysis.
Inf. Process. Manag., 2008

Graph models and mathematical programming in biochemical network analysis and metabolic engineering design.
Comput. Math. Appl., 2008

Granular modeling of web documents: impact on information retrieval systems.
Proceedings of the 10th ACM International Workshop on Web Information and Data Management (WIDM 2008), 2008

Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain.
Proceedings of the 1<sup>st</sup> International Conference on ICT Solutions for Justice, 2008

2007
Genetic programming for computational pharmacokinetics in drug discovery and development.
Genet. Program. Evolvable Mach., 2007

Towards metabolic networks phylogeny using Petri Net-based expansional analysis.
BMC Syst. Biol., 2007

Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD<sub>50</sub>) and Plasma Protein Binding Levels (%PPB) of Drugs.
Proceedings of the Evolutionary Computation, 2007

2006
Integrating stochastic programming and decision tree techniques in land conversion problems.
Ann. Oper. Res., 2006

UP-DRES User Profiling for a Dynamic REcommendation System.
Proceedings of the Advances in Data Mining, 2006

Genetic programming for human oral bioavailability of drugs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means.
Proceedings of the Flexible Query Answering Systems, 7th International Conference, 2006

Classifying and Counting Vehicles in Traffic Control Applications.
Proceedings of the Applications of Evolutionary Computing, 2006

Foreground-to-Ghost Discrimination in Single-Difference Pre-processing.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

2003
Uncertainty and Option Value in Land Allocation Problems.
Ann. Oper. Res., 2003

2000
Computational solution of capacity planning models under uncertainty.
Parallel Comput., 2000

1995
A stochastic optimization approach for robot scheduling.
Ann. Oper. Res., 1995

A statistical generalized programming algorithm for stochastic optimization problems.
Ann. Oper. Res., 1995

1993
Stochastic optimization algorithms for regenerative deds.
Proceedings of the System Modelling and Optimization: Proceedings of the 16th IFIP-TC7 Conference, 1993


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