UPMurphi: A Tool for Universal Planning on PDDL+ Problems. - Giuseppe Della Penna; Daniele Magazzeni; Fabio Mercorio; Benedetto Intrigila (ICAPS, 2009)

A PDDL+ Benchmark Problem: The Batch Chemical Plant. - Giuseppe Della Penna; Benedetto Intrigila; Daniele Magazzeni; Fabio Mercorio (ICAPS, 2010)

Planning for Autonomous Planetary Vehicles. - Giuseppe Della Penna; Benedetto Intrigila; Daniele Magazzeni; Fabio Mercorio (ICAS, 2010)

Resource-Optimal Planning For An Autonomous Planetary Vehicle - Giuseppe Della Penna; Benedetto Intrigila; Daniele Magazzeni; Fabio Mercorio (CoRR, 2010)

Cost-optimal Strong Planning in Non-deterministic Domains. - Giuseppe Della Penna; Fabio Mercorio; Benedetto Intrigila; Daniele Magazzeni; Enrico Tronci (ICINCO (1), 2011)

Data Quality through Model Checking Techniques. - Mario Mezzanzanica; Roberto Boselli; Mirko Cesarini; Fabio Mercorio (IDA, 2011)

Data Quality Sensitivity Analysis on Aggregate Indicators. - Mario Mezzanzanica; Roberto Boselli; Mirko Cesarini; Fabio Mercorio (DATA, 2012)

Towards the Use of Model Checking for Performing Data Consistency Evaluation and Cleansing. - Mario Mezzanzanica; Mirko Cesarini; Fabio Mercorio; Roberto Boselli (ICIQ, 2012)

A universal planning system for hybrid domains. - Giuseppe Della Penna; Daniele Magazzeni; Fabio Mercorio (Appl. Intell., 2012)

Model checking for the analysis and control of complex and non-deterministic systems. - Fabio Mercorio (2012)

Automatic Synthesis of Data Cleansing Activities. - Mario Mezzanzanica; Roberto Boselli; Mirko Cesarini; Fabio Mercorio (DATA, 2013)

Inconsistency Knowledge Discovery for Longitudinal Data Management: A Model-Based Approach. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (CHI-KDD, 2013)

Model checking for universal planning in deterministic and non-deterministic domains. - Fabio Mercorio (AI Commun., 2013)

Planning meets Data Cleansing. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (ICAPS, 2014)

Are the Methodologies for Producing Linked Open Data Feasible for Public Administrations?. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (DATA, 2014)

Accurate Data Cleansing through Model Checking and Machine Learning Techniques. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (DATA (Revised Selected Papers), 2014)

Improving Data Cleansing Accuracy - A Model-based Approach. - Mario Mezzanzanica; Roberto Boselli; Mirko Cesarini; Fabio Mercorio (DATA, 2014)

Data Quality on KDD: a Real-life Scenario. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (SEBD, 2014)

Towards data cleansing via planning. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (Intelligenza Artificiale, 2014)

Longitudinal data consistency verification using formal methods. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (Int. J. Inf. Qual., 2014)

A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014)

Applying the AHP to Smart Mobility Services: A Case Study. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (DATA, 2015)

Classification of Web Job Advertisements: A Case Study. - Flora Amato; Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Fabio Persia; Antonio Picariello (SEBD, 2015)

Challenge: Processing web texts for classifying job offers. - Flora Amato; Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Fabio Persia; Antonio Picariello (ICSC, 2015)

Synthesis of Cost-Optimal Strong Plans in Non-Deterministic Domains. - Giuseppe Della Penna; Benedetto Intrigila; Daniele Magazzeni; Fabio Mercorio (Int. J. Artif. Intell. Tools, 2015)

A model-based evaluation of data quality activities in KDD. - Mario Mezzanzanica; Roberto Boselli; Mirko Cesarini; Fabio Mercorio (Inf. Process. Manag., 2015)

A Model-Based Approach for Developing Data Cleansing Solutions. - Mario Mezzanzanica; Roberto Boselli; Mirko Cesarini; Fabio Mercorio (ACM J. Data Inf. Qual., 2015)

Heuristic Planning for Hybrid Systems. - Wiktor Mateusz Piotrowski; Maria Fox 001; Derek Long; Daniele Magazzeni; Fabio Mercorio (AAAI, 2016)

Heuristic Planning for PDDL+ Domains. - Wiktor Mateusz Piotrowski; Maria Fox 001; Derek Long; Daniele Magazzeni; Fabio Mercorio (AAAI Workshop: Planning for Hybrid Systems, 2016)

PDDL+ Planning with Temporal Pattern Databases. - Wiktor Mateusz Piotrowski; Maria Fox 001; Derek Long; Daniele Magazzeni; Fabio Mercorio (AAAI Workshops, 2017)

A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica; Alessandro Vaccarino (DATA, 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). - Gabriella Pasi; Mirko Cesarini; Stefania Marrara; Fabio Mercorio; Marco Viviani 001; Mario Mezzanzanica; Marco Pappagallo (IIR, 2017)

Using Machine Learning for Labour Market Intelligence. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (ECML/PKDD (3), 2017)

An AI Planning System for Data Cleaning. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (ECML/PKDD (3), 2017)

Labour Market Intelligence for Supporting Decision Making. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (SEBD, 2017)

A language modelling approach for discovering novel labour market occupations from the web. - Stefania Marrara; Gabriella Pasi; Marco Viviani 001; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica; Marco Pappagallo (WI, 2017)

GraphDBLP Released: Querying the Computer Scientists Network as a Graph. - Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Antonio Picariello (SEBD, 2018)

Multimedia story creation on social networks. - Flora Amato; Aniello Castiglione; Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Antonio Picariello; Giancarlo Sperlì (Future Gener. Comput. Syst., 2018)

Classifying online Job Advertisements through Machine Learning. - Roberto Boselli; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (Future Gener. Comput. Syst., 2018)

A Social Media Recommender System. - Giancarlo Sperlì; Flora Amato; Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Antonio Picariello (Int. J. Multim. Data Eng. Manag., 2018)

WoLMIS: a labor market intelligence system for classifying web job vacancies. - Roberto Boselli; Mirko Cesarini; Stefania Marrara; Fabio Mercorio; Mario Mezzanzanica; Gabriella Pasi; Marco Viviani 001 (J. Intell. Inf. Syst., 2018)

GraphDBLP: a system for analysing networks of computer scientists through graph databases - GraphDBLP. - Mario Mezzanzanica; Fabio Mercorio; Mirko Cesarini; Vincenzo Moscato; Antonio Picariello (Multim. Tools Appl., 2018)

Skills in demand for ICT and statistical occupations: Evidence from web-based job vacancies. - Pietro Giorgio Lovaglio; Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica (Stat. Anal. Data Min., 2018)

Towards Labour Market Intelligence through Topic Modelling. - Francesco Colace; Massimo De Santo; Marco Lombardi 001; Fabio Mercorio; Mario Mezzanzanica; Francesco Pascale (HICSS, 2019)

A Tool for Researchers: Querying Big Scholarly Data Through Graph Databases. - Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Antonio Picariello; Giancarlo Sperlì (ECML/PKDD (3), 2019)

A tool for exploring networks of computer scientists as a graph. - Mirko Cesarini; Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Antonio Picariello (SAC, 2019)

Big Data Enables Labor Market Intelligence. - Mario Mezzanzanica; Fabio Mercorio (Encyclopedia of Big Data Technologies, 2019)

eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters. - Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (CD-MAKE, 2020)

MEET: A Method for Embeddings Evaluation for Taxonomic Data. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (ICDM (Workshops), 2020)

NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (ISWC (2), 2020)

NEO: A System for Identifying New Emerging Occupation from Job Ads. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (AAAI, 2021)

A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). - Navid Nobani; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2021)

Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). - Andrea Seveso; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2021)

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (IJCAI, 2021)

Towards an Explainer-agnostic Conversational XAI. - Navid Nobani; Fabio Mercorio; Mario Mezzanzanica (IJCAI, 2021)

A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. - Andrea Seveso; Fabio Mercorio; Mario Mezzanzanica (IJCAI, 2021)

Towards Fairness Through Time. - Alessandro Castelnovo; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Cosentini (PKDD/ECML Workshops (1), 2021)

TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (ECML/PKDD (3), 2021)

Skills2Job: A recommender system that encodes job offer embeddings on graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Appl. Soft Comput., 2021)

MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Comput. Ind., 2021)

DICO: A Graph-DB Framework for Community Detection on Big Scholarly Data. - Fabio Mercorio; Mario Mezzanzanica; Vincenzo Moscato; Antonio Picariello; Giancarlo Sperlí (IEEE Trans. Emerg. Top. Comput., 2021)

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2022)

The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani; Andrea Seveso (IJCAI, 2022)

A Survey on XAI for Cyber Physical Systems in Medicine. - Nicola Alimonda; Luca Guidotto; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Giovanni Tosi (MetroXRAINE, 2022)

WETA: Automatic taxonomy alignment via word embeddings. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Comput. Ind., 2022)

Embeddings Evaluation Using a Novel Measure of Semantic Similarity. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Cogn. Comput., 2022)

ContrXT: Generating contrastive explanations from any text classifier. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani; Andrea Seveso (Inf. Fusion, 2022)

FFTree: A flexible tree to handle multiple fairness criteria. - Alessandro Castelnovo; Andrea Cosentini; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Inf. Process. Manag., 2022)

XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification. - Noemi Gozzi; Lorenzo Malandri; Fabio Mercorio; Alessandra Pedrocchi (Knowl. Based Syst., 2022)

GraphLMI: A data driven system for exploring labor market information through graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Multim. Tools Appl., 2022)

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). - Alessandro Castelnovo; Riccardo Crupi; Fabio Mercorio; Mario Mezzanzanica; Daniele Potertì; Daniele Regoli (AIABI@AI*IA, 2023)

Preserving Utility in Fair Top-k Ranking with Intersectional Bias. - Nicola Alimonda; Alessandro Castelnovo; Riccardo Crupi; Fabio Mercorio; Mario Mezzanzanica (BIAS, 2023)

KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction. - Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (KDIR, 2023)

SEEDOT: Tool for Enhancing Sentiment Lexicon with Machine Learning. - Vittorio Haardt; Lorenzo Malandri; Fabio Mercorio; Luca Porcelli (PKDD/ECML Workshops (3), 2023)

Leveraging Group Contrastive Explanations for Handling Fairness. - Alessandro Castelnovo; Nicole Inverardi; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (xAI (3), 2023)

A survey on XAI and natural language explanations. - Erik Cambria; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Inf. Process. Manag., 2023)

ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Cogn. Comput., 2023)

Enriching Skill Taxonomies through Vector Space Models. - Simone D'Amico; Alessia De Santo; Fabio Mercorio; Mario Mezzanzanica (IEEE Big Data, 2024)

BEEP - BEst DrivEr's License Performer: A CALAMITA Challenge. - Fabio Mercorio; Daniele Potertì; Antonio Serino; Andrea Seveso (CLiC-it, 2024)

Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. - Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (DSAA, 2024)

An approach to Evaluative AI through Large Language Models. - Andrea Ermellino; Lorenzo Malandri; Fabio Mercorio; Navid Nobani; Antonio Serino (MAI-XAI@ECAI, 2024)

Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation. - Alessandro Castelnovo; Roberto Depalmas; Fabio Mercorio; Nicolò Mombelli; Daniele Potertì; Antonio Serino; Andrea Seveso; Salvatore Sorrentino; Laura Viola (xAI (1), 2024)

Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark. - Fabio Mercorio; Mario Mezzanzanica; Daniele Potertì; Antonio Serino; Andrea Seveso (CoRR, 2024)

XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models. - Erik Cambria; Lorenzo Malandri; Fabio Mercorio; Navid Nobani; Andrea Seveso (CoRR, 2024)

Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs. - Emilio Colombo; Fabio Mercorio; Mario Mezzanzanica; Antonio Serino (CoRR, 2024)

Model-contrastive explanations through symbolic reasoning. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Decis. Support Syst., 2024)

A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. - Roberto Ascari; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Cogn. Comput., 2024)

RE-FIN: Retrieval-based Enrichment for Financial data. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (COLING (Industry), 2025)

ITALIC: An Italian Culture-Aware Natural Language Benchmark. - Andrea Seveso; Daniele Potertì; Edoardo Federici; Mario Mezzanzanica; Fabio Mercorio (NAACL (Long Papers), 2025)

JobSet: Synthetic Job Advertisements Dataset for Labour Market Intelligence. - Samuele Colombo; Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Andrea Seveso (SAC, 2025)

Taxonomy Expansion through Collaborative LLM Mapping. - Simone D'Amico; Alessia De Santo; Mario Mezzanzanica; Fabio Mercorio (SAC, 2025)

SkiLLMo: Normalized ESCO Skill Extraction through Transformer Models. - Lorenzo Malandri; Fabio Mercorio; Antonio Serino (SAC, 2025)

Designing Role Vectors to Improve LLM Inference Behaviour. - Daniele Potertì; Andrea Seveso; Fabio Mercorio (CoRR, 2025)

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. - Samir Abdaljalil; Filippo Pallucchini; Andrea Seveso; Hasan Kurban; Fabio Mercorio; Erchin Serpedin (CoRR, 2025)

SeNSe: embedding alignment via semantic anchors selection. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (Int. J. Data Sci. Anal., 2025)