Mario Mezzanzanica

Orcid: 0000-0003-0399-2810

According to our database1, Mario Mezzanzanica authored at least 75 papers between 2003 and 2024.

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Bibliography

2024
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings.
Cogn. Comput., May, 2024

Model-contrastive explanations through symbolic reasoning.
Decis. Support Syst., January, 2024

Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs.
CoRR, 2024

Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark.
CoRR, 2024

Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer.
Cogn. Comput., March, 2023

A survey on XAI and natural language explanations.
Inf. Process. Manag., 2023

Leveraging Group Contrastive Explanations for Handling Fairness.
Proceedings of the Explainable Artificial Intelligence, 2023

KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Preserving Utility in Fair Top-k Ranking with Intersectional Bias.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper).
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023

2022
GraphLMI: A data driven system for exploring labor market information through graph databases.
Multim. Tools Appl., 2022

FFTree: A flexible tree to handle multiple fairness criteria.
Inf. Process. Manag., 2022

ContrXT: Generating contrastive explanations from any text classifier.
Inf. Fusion, 2022

Embeddings Evaluation Using a Novel Measure of Semantic Similarity.
Cogn. Comput., 2022

WETA: Automatic taxonomy alignment via word embeddings.
Comput. Ind., 2022

A Survey on XAI for Cyber Physical Systems in Medicine.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DICO: A Graph-DB Framework for Community Detection on Big Scholarly Data.
IEEE Trans. Emerg. Top. Comput., 2021

MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market.
Comput. Ind., 2021

Skills2Job: A recommender system that encodes job offer embeddings on graph databases.
Appl. Soft Comput., 2021

TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Towards Fairness Through Time.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards an Explainer-agnostic Conversational XAI.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

NEO: A System for Identifying New Emerging Occupation from Job Ads.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fast and effective Big Data exploration by clustering.
Future Gener. Comput. Syst., 2020

NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations.
Proceedings of the Semantic Web - ISWC 2020, 2020

MEET: A Method for Embeddings Evaluation for Taxonomic Data.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019
Big Data Enables Labor Market Intelligence.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

A tool for exploring networks of computer scientists as a graph.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A Tool for Researchers: Querying Big Scholarly Data Through Graph Databases.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Towards Labour Market Intelligence through Topic Modelling.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Skills in demand for ICT and statistical occupations: Evidence from web-based job vacancies.
Stat. Anal. Data Min., 2018

GraphDBLP: a system for analysing networks of computer scientists through graph databases - GraphDBLP.
Multim. Tools Appl., 2018

WoLMIS: a labor market intelligence system for classifying web job vacancies.
J. Intell. Inf. Syst., 2018

A Social Media Recommender System.
Int. J. Multim. Data Eng. Manag., 2018

Classifying online Job Advertisements through Machine Learning.
Future Gener. Comput. Syst., 2018

Multimedia story creation on social networks.
Future Gener. Comput. Syst., 2018

GraphDBLP Released: Querying the Computer Scientists Network as a Graph.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

2017
A language modelling approach for discovering novel labour market occupations from the web.
Proceedings of the International Conference on Web Intelligence, 2017

Labour Market Intelligence for Supporting Decision Making.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

An AI Planning System for Data Cleaning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Using Machine Learning for Labour Market Intelligence.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Un'Analisi del Mondo del Lavoro e un Modello Predittivo per Potenziali Nuove Occupazioni (An Analysis of the Job Market and a Predictive Model for Potential New Jobs).
Proceedings of the 8th Italian Information Retrieval Workshop, 2017

A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results.
Proceedings of the 6th International Conference on Data Science, 2017

2015
A Model-Based Approach for Developing Data Cleansing Solutions.
ACM J. Data Inf. Qual., 2015

A model-based evaluation of data quality activities in KDD.
Inf. Process. Manag., 2015

Challenge: Processing web texts for classifying job offers.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Classification of Web Job Advertisements: A Case Study.
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Applying the AHP to Smart Mobility Services: A Case Study.
Proceedings of the DATA 2015, 2015

2014
A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data.
Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014

Longitudinal data consistency verification using formal methods.
Int. J. Inf. Qual., 2014

Towards data cleansing via planning.
Intelligenza Artificiale, 2014

Data Quality on KDD: a Real-life Scenario.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Improving Data Cleansing Accuracy - A Model-based Approach.
Proceedings of the DATA 2014, 2014

Accurate Data Cleansing through Model Checking and Machine Learning Techniques.
Proceedings of the Data Management Technologies and Applications, 2014

Are the Methodologies for Producing Linked Open Data Feasible for Public Administrations?.
Proceedings of the DATA 2014, 2014

Planning meets Data Cleansing.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013
A Continuous Time Mover-Stayer Model for Labor Market in a Northern Italian Area.
Proceedings of the Classification and Data Mining, 2013

Inconsistency Knowledge Discovery for Longitudinal Data Management: A Model-Based Approach.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

Automatic Synthesis of Data Cleansing Activities.
Proceedings of the DATA 2013 - Proceedings of the 2nd International Conference on Data Technologies and Applications, Reykjavík, Iceland, 29, 2013

2012
Towards the Use of Model Checking for Performing Data Consistency Evaluation and Cleansing.
Proceedings of the 17th International Conference on Information Quality, 2012

Data Quality Sensitivity Analysis on Aggregate Indicators.
Proceedings of the DATA 2012, 2012

2011
Data Quality through Model Checking Techniques.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2008
Why is <i>True</i> eGovernment still difficult to be achieved?
Proceedings of the E-Government, ICT Professionalism and Competences Service Science, 2008

2007
Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems.
J. Cases Inf. Technol., 2007

Organizational issues on coopetitive federated information systems.
Proceedings of the ICEIS 2007, 2007

2006
Policy Making for Coopetitive Information Systems.
Proceedings of the 11th International Conference on Information Quality, 2006

2003
Development of a security methodology for cooperative information systems: the cooPSIS project.
Proceedings of the 11th European Conference on Information Systems, 2003


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