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Mario Mezzanzanica
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2020 – today
- 2024
- [j24]Roberto Ascari, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. Cogn. Comput. 16(3): 949-963 (2024) - [j23]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Model-contrastive explanations through symbolic reasoning. Decis. Support Syst. 176: 114040 (2024) - [i2]Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso:
Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark. CoRR abs/2406.17535 (2024) - [i1]Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica, Antonio Serino:
Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs. CoRR abs/2407.19204 (2024) - 2023
- [j22]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. Cogn. Comput. 15(2): 613-644 (2023) - [j21]Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
A survey on XAI and natural language explanations. Inf. Process. Manag. 60(1): 103111 (2023) - [c46]Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli:
Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper). AIABI@AI*IA 2023 - [c45]Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica:
Preserving Utility in Fair Top-k Ranking with Intersectional Bias. BIAS 2023: 59-73 - [c44]Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction. KDIR 2023: 289-297 - [c43]Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Leveraging Group Contrastive Explanations for Handling Fairness. xAI (3) 2023: 332-345 - 2022
- [j20]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
WETA: Automatic taxonomy alignment via word embeddings. Comput. Ind. 138: 103626 (2022) - [j19]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
Embeddings Evaluation Using a Novel Measure of Semantic Similarity. Cogn. Comput. 14(2): 749-763 (2022) - [j18]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
ContrXT: Generating contrastive explanations from any text classifier. Inf. Fusion 81: 103-115 (2022) - [j17]Alessandro Castelnovo, Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
FFTree: A flexible tree to handle multiple fairness criteria. Inf. Process. Manag. 59(6): 103099 (2022) - [j16]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
GraphLMI: A data driven system for exploring labor market information through graph databases. Multim. Tools Appl. 81(3): 3061-3090 (2022) - [c42]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). AAAI 2022: 12955-12956 - [c41]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. IJCAI 2022: 5936-5939 - [c40]Nicola Alimonda, Luca Guidotto, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Giovanni Tosi:
A Survey on XAI for Cyber Physical Systems in Medicine. MetroXRAINE 2022: 265-270 - 2021
- [j15]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Skills2Job: A recommender system that encodes job offer embeddings on graph databases. Appl. Soft Comput. 101: 107049 (2021) - [j14]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market. Comput. Ind. 124: 103341 (2021) - [j13]Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlí:
DICO: A Graph-DB Framework for Community Detection on Big Scholarly Data. IEEE Trans. Emerg. Top. Comput. 9(4): 1987-2003 (2021) - [c39]Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). AAAI 2021: 15859-15860 - [c38]Andrea Seveso, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). AAAI 2021: 15885-15886 - [c37]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A System for Identifying New Emerging Occupation from Job Ads. AAAI 2021: 16035-16037 - [c36]Navid Nobani, Fabio Mercorio, Mario Mezzanzanica:
Towards an Explainer-agnostic Conversational XAI. IJCAI 2021: 4909-4910 - [c35]Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica:
A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. IJCAI 2021: 4917-4918 - [c34]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. IJCAI 2021: 4984-4987 - [c33]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement. ECML/PKDD (3) 2021: 612-627 - [c32]Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini:
Towards Fairness Through Time. PKDD/ECML Workshops (1) 2021: 647-663 - 2020
- [j12]Michele Ianni, Elio Masciari, Giuseppe M. Mazzeo, Mario Mezzanzanica, Carlo Zaniolo:
Fast and effective Big Data exploration by clustering. Future Gener. Comput. Syst. 102: 84-94 (2020) - [c31]Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters. CD-MAKE 2020: 159-172 - [c30]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
MEET: A Method for Embeddings Evaluation for Taxonomic Data. ICDM (Workshops) 2020: 31-38 - [c29]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. ISWC (2) 2020: 568-584
2010 – 2019
- 2019
- [c28]Francesco Colace, Massimo De Santo, Marco Lombardi, Fabio Mercorio, Mario Mezzanzanica, Francesco Pascale:
Towards Labour Market Intelligence through Topic Modelling. HICSS 2019: 1-10 - [c27]Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
A Tool for Researchers: Querying Big Scholarly Data Through Graph Databases. ECML/PKDD (3) 2019: 760-763 - [c26]Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello:
A tool for exploring networks of computer scientists as a graph. SAC 2019: 2240-2242 - [r1]Mario Mezzanzanica, Fabio Mercorio:
Big Data Enables Labor Market Intelligence. Encyclopedia of Big Data Technologies 2019 - 2018
- [j11]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Classifying online Job Advertisements through Machine Learning. Future Gener. Comput. Syst. 86: 319-328 (2018) - [j10]Flora Amato, Aniello Castiglione, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
Multimedia story creation on social networks. Future Gener. Comput. Syst. 86: 412-420 (2018) - [j9]Giancarlo Sperlì, Flora Amato, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello:
A Social Media Recommender System. Int. J. Multim. Data Eng. Manag. 9(1): 36-50 (2018) - [j8]Roberto Boselli, Mirko Cesarini, Stefania Marrara, Fabio Mercorio, Mario Mezzanzanica, Gabriella Pasi, Marco Viviani:
WoLMIS: a labor market intelligence system for classifying web job vacancies. J. Intell. Inf. Syst. 51(3): 477-502 (2018) - [j7]Mario Mezzanzanica, Fabio Mercorio, Mirko Cesarini, Vincenzo Moscato, Antonio Picariello:
GraphDBLP: a system for analysing networks of computer scientists through graph databases - GraphDBLP. Multim. Tools Appl. 77(14): 18657-18688 (2018) - [j6]Pietro Giorgio Lovaglio, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Skills in demand for ICT and statistical occupations: Evidence from web-based job vacancies. Stat. Anal. Data Min. 11(2): 78-91 (2018) - [c25]Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello:
GraphDBLP Released: Querying the Computer Scientists Network as a Graph. SEBD 2018 - 2017
- [c24]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Alessandro Vaccarino:
A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results. DATA 2017: 343-349 - [c23]Gabriella Pasi, Mirko Cesarini, Stefania Marrara, Fabio Mercorio, Marco Viviani, Mario Mezzanzanica, Marco Pappagallo:
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). IIR 2017: 116-120 - [c22]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Using Machine Learning for Labour Market Intelligence. ECML/PKDD (3) 2017: 330-342 - [c21]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
An AI Planning System for Data Cleaning. ECML/PKDD (3) 2017: 349-353 - [c20]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Labour Market Intelligence for Supporting Decision Making. SEBD 2017: 74 - [c19]Stefania Marrara, Gabriella Pasi, Marco Viviani, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Marco Pappagallo:
A language modelling approach for discovering novel labour market occupations from the web. WI 2017: 1026-1034 - 2015
- [j5]Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
A model-based evaluation of data quality activities in KDD. Inf. Process. Manag. 51(2): 144-166 (2015) - [j4]Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
A Model-Based Approach for Developing Data Cleansing Solutions. ACM J. Data Inf. Qual. 5(4): 13:1-13:28 (2015) - [c18]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Applying the AHP to Smart Mobility Services: A Case Study. DATA 2015: 354-361 - [c17]Flora Amato, Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Fabio Persia, Antonio Picariello:
Classification of Web Job Advertisements: A Case Study. SEBD 2015: 144-151 - [c16]Flora Amato, Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Fabio Persia, Antonio Picariello:
Challenge: Processing web texts for classifying job offers. ICSC 2015: 460-463 - 2014
- [j3]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Towards data cleansing via planning. Intelligenza Artificiale 8(1): 57-69 (2014) - [j2]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Longitudinal data consistency verification using formal methods. Int. J. Inf. Qual. 3(3): 185-206 (2014) - [c15]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Planning meets Data Cleansing. ICAPS 2014 - [c14]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Accurate Data Cleansing through Model Checking and Machine Learning Techniques. DATA (Revised Selected Papers) 2014: 62-80 - [c13]Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
Improving Data Cleansing Accuracy - A Model-based Approach. DATA 2014: 189-201 - [c12]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Are the Methodologies for Producing Linked Open Data Feasible for Public Administrations?. DATA 2014: 399-407 - [c11]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Data Quality on KDD: a Real-life Scenario. SEBD 2014: 378-385 - [p2]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics 2014: 141-168 - 2013
- [c10]Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
Automatic Synthesis of Data Cleansing Activities. DATA 2013: 138-149 - [c9]Roberto Boselli, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica:
Inconsistency Knowledge Discovery for Longitudinal Data Management: A Model-Based Approach. CHI-KDD 2013: 183-194 - [p1]Fabrizio Cipollini, Camilla Ferretti, Piero Ganugi, Mario Mezzanzanica:
A Continuous Time Mover-Stayer Model for Labor Market in a Northern Italian Area. Classification and Data Mining 2013: 181-188 - 2012
- [c8]Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
Data Quality Sensitivity Analysis on Aggregate Indicators. DATA 2012: 97-108 - [c7]Mario Mezzanzanica, Mirko Cesarini, Fabio Mercorio, Roberto Boselli:
Towards the Use of Model Checking for Performing Data Consistency Evaluation and Cleansing. ICIQ 2012: 163-177 - 2011
- [c6]Mario Mezzanzanica, Roberto Boselli, Mirko Cesarini, Fabio Mercorio:
Data Quality through Model Checking Techniques. IDA 2011: 270-281
2000 – 2009
- 2008
- [c5]Mariagrazia Fugini, Piercarlo Maggiolini, Krysnaia Nanini, Roberto Boselli, Mirko Cesarini, Mario Mezzanzanica:
Why is True eGovernment still difficult to be achieved? E-Government, ICT Professionalism and Competences Service Science 2008: 11-20 - 2007
- [j1]Mariagrazia Fugini, Mirko Cesarini, Mario Mezzanzanica:
Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems. J. Cases Inf. Technol. 9(4): 57-81 (2007) - [c4]Mirko Cesarini, Mario Mezzanzanica:
Organizational issues on coopetitive federated information systems. ICEIS (1) 2007: 524-529 - 2006
- [c3]Mirko Cesarini, Mariagrazia Fugini, Mario Mezzanzanica:
Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems. ICEIS (1) 2006: 293-296 - [c2]Mario Mezzanzanica, Mirko Cesarini:
Policy Making for Coopetitive Information Systems. ICIQ 2006: 196-206 - 2003
- [c1]Mariagrazia Fugini, Mario Mezzanzanica:
Development of a security methodology for cooperative information systems: the cooPSIS project. ECIS 2003: 687-693
Coauthor Index
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last updated on 2024-10-12 23:02 CEST by the dblp team
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