Frequent Itemset Mining in a Relational DBMS. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Alice Lottini; Lorena Pansa (SEBD, 2004)

Index Support for Frequent Itemset Mining in a Relational DBMS. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano (ICDE, 2005)

Index Support for Mining Data Streams in a Relational DBMS. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Diego Mostile (SEBD, 2005)

Selecting Representatives in a Sensor Network. - Elena Baralis; Tania Cerquitelli (SEBD, 2006)

SAPhyRA: Stream Analysis for Physiological Risk Assessment. - Daniele Apiletti; Elena Baralis; Giulia Bruno; Tania Cerquitelli (CBMS, 2007)

Modeling a Sensor Network by means of Clustering. - Elena Baralis; Tania Cerquitelli; Vincenzo D'Elia (DEXA Workshops, 2007)

Generalized association rules to support Network Digest analysis. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Vincenzo D'Elia (SEBD, 2008)

Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation. - Daniele Apiletti; Elena Baralis; Giulia Bruno; Tania Cerquitelli (Intelligent Techniques and Tools for Novel System Architectures, 2008)

Indexing Evolving Databases for Itemset Mining. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano (Intelligent Techniques and Tools for Novel System Architectures, 2008)

NetCluster: A Clustering-Based Framework for Internet Tomography. - Elena Baralis; Andrea Bianco; Tania Cerquitelli; Luca Chiaraviglio; Marco Mellia (ICC, 2009)

Context-Aware User and Service Profiling by Means of Generalized Association Rules. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Marco Marchetti (KES (2), 2009)

Generalized Association Rules to Support Context-aware User and Service Profiling. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Marco Marchetti (SEBD, 2009)

Characterizing network traffic by means of the NetMine framework. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Vincenzo D'Elia (Comput. Networks, 2009)

Real-Time Analysis of Physiological Data to Support Medical Applications. - Daniele Apiletti; Elena Baralis; Giulia Bruno; Tania Cerquitelli (IEEE Trans. Inf. Technol. Biomed., 2009)

IMine: Index Support for Item Set Mining. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano (IEEE Trans. Knowl. Data Eng., 2009)

Predicting the highest workload in cardiopulmonary test. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Vincenzo D'Elia; Riccardo Molinari; Davide Susta (CBMS, 2010)

Support driven opportunistic aggregation for generalized itemset extraction. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Vincenzo D'Elia; Paolo Garza (IEEE Conf. of Intelligent Systems, 2010)

Array-Tree: A persistent data structure to compactly store frequent itemsets. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Alberto Grand (IEEE Conf. of Intelligent Systems, 2010)

A persistent HY-Tree to efficiently support itemset mining on large datasets. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano (SAC, 2010)

Compactly Storing Frequent Itemsets (Extended Abstract). - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Alberto Grand (SEBD, 2010)

Constrained itemset mining on a sequence of incoming data blocks. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano (Int. J. Intell. Syst., 2010)

Community-Contributed Media Collections: Knowledge at Our Fingertips. - Tania Cerquitelli; Alessandro Fiori; Alberto Grand (Community-Built Databases, 2011)

An Efficient Itemset Mining Approach for Data Streams. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Alberto Grand; Luigi Grimaudo (KES (2), 2011)

Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules. - Luca Cagliero; Tania Cerquitelli; Paolo Garza (Int. J. Semantic Web Inf. Syst., 2011)

Energy-saving models for wireless sensor networks. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli (Knowl. Inf. Syst., 2011)

CAS-Mine: providing personalized services in context-aware applications by means of generalized rules. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Marco Marchetti (Knowl. Inf. Syst., 2011)

Generalized association rule mining with constraints. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza (Inf. Sci., 2012)

New Trends in Databases and Information Systems: Contributions from ADBIS 2013. - Yamine Aït Ameur; Witold Andrzejewski; Ladjel Bellatreche; Barbara Catania; Tania Cerquitelli; Silvia Chiusano; Matteo Golfarelli; Giovanna Guerrini; Krzysztof Kaczmarski; Mirko Kämpf; Alfons Kemper; Tobias Lauer; et al. (ADBIS (2), 2013)

Frequent weighted itemset mining from gene expression data. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza (BIBE, 2013)

P-Mine: Parallel itemset mining on large datasets. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Alberto Grand (ICDE Workshops, 2013)

Analysis of Twitter Data Using a Multiple-level Clustering Strategy. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Luigi Grimaudo; Xin Xiao 002 (MEDI, 2013)

Association Rule Mining as a Cloud-Based Service. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Luigi Grimaudo (SEBD, 2013)

SeaRum: A Cloud-Based Service for Association Rule Mining. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Luigi Grimaudo (TrustCom/ISPA/IUCC, 2013)

NetCluster: A clustering-based framework to analyze internet passive measurements data. - Elena Baralis; Andrea Bianco; Tania Cerquitelli; Luca Chiaraviglio; Marco Mellia (Comput. Networks, 2013)

Analysis of diabetic patients through their examination history. - Dario Antonelli; Elena Baralis; Giulia Bruno; Tania Cerquitelli; Silvia Chiusano; Naeem Ahmed Mahoto (Expert Syst. Appl., 2013)

Early prediction of the highest workload in incremental cardiopulmonary tests. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Vincenzo D'Elia; Riccardo Molinari; Davide Susta (ACM Trans. Intell. Syst. Technol., 2013)

A Clustering-Based Approach to Analyse Examinations for Diabetic Patients. - Giulia Bruno; Tania Cerquitelli; Silvia Chiusano; Xin Xiao 002 (ICHI, 2014)

Misleading Generalized Itemset Mining in the Cloud. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Luigi Grimaudo; Fabio Pulvirenti (ISPA, 2014)

MGI-Cloud: discovery of misleading generalized itemsets. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Luigi Grimaudo; Fabio Pulvirenti; Paolo Garza (SEBD, 2014)

NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Luigi Grimaudo; Fabio Pulvirenti (UCC, 2014)

Misleading Generalized Itemset discovery. - Luca Cagliero; Tania Cerquitelli; Paolo Garza; Luigi Grimaudo (Expert Syst. Appl., 2014)

Expressive generalized itemsets. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Vincenzo D'Elia; Paolo Garza (Inf. Sci., 2014)

Twitter data analysis by means of Strong Flipping Generalized Itemsets. - Luca Cagliero; Tania Cerquitelli; Paolo Garza; Luigi Grimaudo (J. Syst. Softw., 2014)

Energy Signature Analysis: Knowledge at Your Fingertips. - Andrea Acquaviva; Daniele Apiletti; Antonio Attanasio; Elena Baralis; Lorenzo Bottaccioli; Federico Boni Castagnetti; Tania Cerquitelli; Silvia Chiusano; Enrico Macii; Dario Martellacci; Edoardo Patti (BigData Congress, 2015)

Predicting Cardiopulmonary Response to Incremental Exercise Test. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Andrea Giordano; Alessandro Mezzani; Davide Susta; Xin Xiao 002 (CBMS, 2015)

Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption. - Andrea Acquaviva; Daniele Apiletti; Antonio Attanasio; Elena Baralis; Federico Boni Castagnetti; Tania Cerquitelli; Silvia Chiusano; Enrico Macii; Dario Martellacci; Edoardo Patti (EDBT/ICDT Workshops, 2015)

Monitoring the citizens' perception on urban security in Smart City environments. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Pierangelo Garino; Marco Nardone; Barbara Pralio; Luca Venturini (ICDE Workshops, 2015)

PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Pietro Michiardi; Fabio Pulvirenti (ICDM Workshops, 2015)

Reducing the search space in ontology alignment using clustering techniques and topic identification. - Agnese Chiatti; Zlatan Dragisic; Tania Cerquitelli; Patrick Lambrix (K-CAP, 2015)

Digging deep into weighted patient data through multiple-level patterns. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza (Inf. Sci., 2015)

Scalable out-of-core itemset mining. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Alberto Grand (Inf. Sci., 2015)

MeTA: Characterization of Medical Treatments at Different Abstraction Levels. - Dario Antonelli; Elena Baralis; Giulia Bruno; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Naeem Ahmed Mahoto (ACM Trans. Intell. Syst. Technol., 2015)

Supporting stock trading in multiple foreign markets: a multilingual news summarization approach. - Elena Baralis; Luca Cagliero; Tania Cerquitelli (DSMM@SIGMOD, 2016)

Characterizing Thermal Energy Consumption through Exploratory Data Mining Algorithms. - Tania Cerquitelli; Evelina Di Corso (EDBT/ICDT Workshops, 2016)

Discovering air quality patterns in urban environments. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Giuseppe Ricupero (UbiComp Adjunct, 2016)

Data mining for better healthcare: A path towards automated data analysis? - Tania Cerquitelli; Elena Baralis; Lia Morra; Silvia Chiusano (ICDE Workshops, 2016)

Supporting the analysis of urban data through NoSQL technologies. - Antonio Attanasio; Tania Cerquitelli; Silvia Chiusano (IISA, 2016)

Analyzing air pollution on the urban environment. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Mohammad Reza Kavoosifar (MIPRO, 2016)

SaFe-NeC: A scalable and flexible system for network data characterization. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Luca Venturini (NOMS, 2016)

Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Giuseppe Ricupero; Xin Xiao 002 (SMARTCOMP, 2016)

Exploiting clustering algorithms in a multiple-level fashion: A comparative study in the medical care scenario. - Tania Cerquitelli; Silvia Chiusano; Xin Xiao 002 (Expert Syst. Appl., 2016)

Discovering users with similar internet access performance through cluster analysis. - Tania Cerquitelli; Antonio Servetti; Enrico Masala (Expert Syst. Appl., 2016)

SeLINA: A Self-Learning Insightful Network Analyzer. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Danilo Giordano; Marco Mellia; Luca Venturini (IEEE Trans. Netw. Serv. Manag., 2016)

New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops. - Andreas Behrend; Diego Calvanese; Tania Cerquitelli; Silvia Chiusano; Christiane Engels; Stéphane Jean; Natalija Kozmina; Béatrice Markhoff; Oscar Romero 001; Sahar Vahdati (ADBIS (Short Papers and Workshops), 2017)

All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection. - Evelina Di Corso; Francesco Ventura; Tania Cerquitelli (IEEE BigData, 2017)

Exploring Energy Certificates of Buildings through Unsupervised Data Mining Techniques. - Evelina Di Corso; Tania Cerquitelli; Marco Savino Piscitelli; Alfonso Capozzoli (iThings/GreenCom/CPSCom/SmartData, 2017)

Self-tuning techniques for large scale cluster analysis on textual data collections. - Evelina Di Corso; Tania Cerquitelli; Francesco Ventura (SAC, 2017)

Prompting the data transformation activities for cluster analysis on collections of documents. - Tania Cerquitelli; Evelina Di Corso; Francesco Ventura; Silvia Chiusano (SEBD, 2017)

Data miners' little helper: data transformation activity cues for cluster analysis on document collections. - Tania Cerquitelli; Evelina Di Corso; Francesco Ventura; Silvia Chiusano (WIMS, 2017)

A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Fabio Pulvirenti; Pietro Michiardi (Big Data Res., 2017)

Frequent Itemsets Mining for Big Data: A Comparative Analysis. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Fabio Pulvirenti; Luca Venturini (Big Data Res., 2017)

Predicting critical conditions in bicycle sharing systems. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Xin Xiao 002 (Computing, 2017)

Twitter data laid almost bare: An insightful exploratory analyser. - Xin Xiao 002; Antonio Attanasio; Silvia Chiusano; Tania Cerquitelli (Expert Syst. Appl., 2017)

Discovering profitable stocks for intraday trading. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Fabio Pulvirenti (Inf. Sci., 2017)

Data Mining in Databases: Languages and Indices. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Rosa Meo (A Comprehensive Guide Through the Italian Database Research, 2018)

Characterizing Air-Quality Data Through Unsupervised Analytics Methods. - Elena Daraio; Evelina Di Corso; Tania Cerquitelli; Silvia Chiusano (ADBIS (Short Papers and Workshops), 2018)

Black-Box Model Explained Through an Assessment of Its Interpretable Features. - Francesco Ventura; Tania Cerquitelli; Francesco Giacalone (ADBIS (Short Papers and Workshops), 2018)

Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation. - Stefano Proto; Evelina Di Corso; Francesco Ventura; Tania Cerquitelli (BigData Congress, 2018)

Mining Sensor Data for Predictive Maintenance in the Automotive Industry. - Flavio Giobergia; Elena Baralis; Maria Camuglia; Tania Cerquitelli; Marco Mellia; Alessandra Neri; Davide Tricarico; Alessia Tuninetti (DSAA, 2018)

iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. - Daniele Apiletti; Claudia Barberis; Tania Cerquitelli; Alberto Macii; Enrico Macii; Massimo Poncino; Francesco Ventura (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Optimization of computer aided detection systems: An evolutionary approach. - Lia Morra; Nunzia Coccia; Tania Cerquitelli (Expert Syst. Appl., 2018)

Characterizing unpredictable patterns in Wireless Sensor Network data. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Antonio Attanasio (Inf. Sci., 2018)

Towards Automated Visualisation of Scientific Literature. - Evelina Di Corso; Stefano Proto; Tania Cerquitelli; Silvia Chiusano (ADBIS (Short Papers and Workshops), 2019)

Robot fault detection and remaining life estimation for predictive maintenance. - Riccardo Pinto; Tania Cerquitelli (ANT/EDI40, 2019)

PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. - Stefano Proto; Francesco Ventura; Daniele Apiletti; Tania Cerquitelli; Elena Baralis; Enrico Macii; Alberto Macii (BigData Congress, 2019)

A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. - Francesco Ventura; Stefano Proto; Daniele Apiletti; Tania Cerquitelli; Simone Panicucci; Elena Baralis; Enrico Macii; Alberto Macii (BigData Congress, 2019)

Towards a real-time unsupervised estimation of predictive model degradation. - Tania Cerquitelli; Stefano Proto; Francesco Ventura; Daniele Apiletti; Elena Baralis (BIRTE, 2019)

A Fog Computing Approach for Predictive Maintenance. - Tania Cerquitelli; David Bowden; Angelo Marguglio; Lucrezia Morabito; Chiara Napione; Simone Panicucci; Nikolaos Nikolakis; Sotiris Makris; Guido Coppo; Salvatore Andolina; Alberto Macii; Enrico Macii; et al. (CAiSE Workshops, 2019)

Exploring energy performance certificates through visualization. - Tania Cerquitelli; Evelina Di Corso; Stefano Proto; Alfonso Capozzoli; Fabio Bellotti; Maria Giovanna Cassese; Elena Baralis; Marco Mellia; Silvia Casagrande; Martina Tamburini (EDBT/ICDT Workshops, 2019)

Modeling Urban Traffic Data Through Graph-Based Neural Networks. - Viviana Pinto; Alan Perotti; Tania Cerquitelli (INNSBDDL, 2019)

Automating concept-drift detection by self-evaluating predictive model degradation. - Tania Cerquitelli; Stefano Proto; Francesco Ventura; Daniele Apiletti; Elena Baralis (CoRR, 2019)

What's in the box? Explaining the black-box model through an evaluation of its interpretable features. - Francesco Ventura; Tania Cerquitelli (CoRR, 2019)

DSLE: A Smart Platform for Designing Data Science Competitions. - Giuseppe Attanasio; Flavio Giobergia; Andrea Pasini; Francesco Ventura; Elena Baralis; Luca Cagliero; Paolo Garza; Daniele Apiletti; Tania Cerquitelli; Silvia Chiusano (COMPSAC, 2020)

Cinematographic Shot Classification through Deep Learning. - Bartolomeo Vacchetti; Tania Cerquitelli; Riccardo Antonino (COMPSAC, 2020)

Proactive user engagement via friendly survey and data-driven methodologies. - Paolo Bethaz; Riccardo Callà; Tania Cerquitelli; Arianna Montorsi; Claudia De Giorgi (ICDE Workshops, 2020)

Data-Driven Estimation of Heavy-Truck Residual Value at the Buy-Back. - Tania Cerquitelli; Andrea Regalia; Emanuele Manfredi; Fabrizio Conicella; Paolo Bethaz; Elena Liore (IEEE Access, 2020)

REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. - Stefano Proto; Evelina Di Corso; Daniele Apiletti; Luca Cagliero; Tania Cerquitelli; Giovanni Malnati; Davide Mazzucchi (IEEE Access, 2020)

Editorial special issue on data analytics for engineering, science and society. - Tania Cerquitelli; Silvia Chiusano; Genoveva Vargas-Solar (Computing, 2020)

E-MIMIC: Empowering Multilingual Inclusive Communication. - Giuseppe Attanasio; Salvatore Greco; Moreno La Quatra; Luca Cagliero; Michela Tonti; Tania Cerquitelli; Rachele Raus (IEEE BigData, 2021)

DS4ALL: All you need for democratizing data exploration and analysis. - Paolo Bethaz; Khalid Belhajjame; Genoveva Vargas-Solar; Tania Cerquitelli (IEEE BigData, 2021)

Estimating the job's pending time on a High-Performance Computing cluster through a hierarchical data-driven methodology. - Fabio Carfi; Enrica Capitelli; Vladi Massimo Nosenzo; Tania Cerquitelli (DOLAP, 2021)

Enhancing the friendliness of data analytics tasks: an automated methodology. - Paolo Bethaz; Tania Cerquitelli (EDBT/ICDT Workshops, 2021)

Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions. - Salvatore Greco; Tania Cerquitelli (ICDM (Workshops), 2021)

Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features. - Francesco Ventura; Salvatore Greco; Daniele Apiletti; Tania Cerquitelli (CoRR, 2021)

Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. - Tania Cerquitelli; Francesco Ventura; Daniele Apiletti; Elena Baralis; Enrico Macii; Massimo Poncino (Expert Syst. Appl., 2021)

Dissecting a data-driven prognostic pipeline: A powertrain use case. - Danilo Giordano; Eliana Pastor; Flavio Giobergia; Tania Cerquitelli; Elena Baralis; Marco Mellia; Alessandra Neri; Davide Tricarico (Expert Syst. Appl., 2021)

Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science. - Silvia Chiusano; Tania Cerquitelli; Robert Wrembel; Daniele Quercia (Inf. Syst. Frontiers, 2021)

Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. - Tania Cerquitelli; Daniele Jahier Pagliari; Andrea Calimera; Lorenzo Bottaccioli; Edoardo Patti; Andrea Acquaviva; Massimo Poncino (Proc. IEEE, 2021)

Physical and mental health of university staff during the Covid-19 pandemic. - Alessandra Colombelli; Greta Temporin; Francesco Serraino; Tania Cerquitelli (IEEE Big Data, 2022)

Promoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business. - Genoveva Vargas-Solar; Tania Cerquitelli; Arianna Montorsi; Stefania Salvai; Maria Teresa Sangineti; Jérôme Darmont; Cécile Favre (IEEE Big Data, 2022)

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. - Luca Colomba; Alessandro Farasin; Simone Monaco; Salvatore Greco; Paolo Garza; Daniele Apiletti; Elena Baralis; Tania Cerquitelli (CIKM, 2022)

Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences. - Bartolomeo Vacchetti; Tania Cerquitelli (ECCV Workshops (4), 2022)

Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology. - Paolo Bethaz; Bartolomeo Vacchetti; Enrica Capitelli; Vladi Massimo Nosenzo; Luca Chiosso; Tania Cerquitelli (EDBT/ICDT Workshops, 2022)

Exploring waste-collection fleet data: challenges in a real-world use case. - Simone Monaco; Paolo Bethaz; Daniele Apiletti; Fabrizio Pio Baldini; Carlo Caso; Tania Cerquitelli (EDBT/ICDT Workshops, 2022)

Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. - Danilo Giordano; Flavio Giobergia; Eliana Pastor; Antonio La Macchia; Tania Cerquitelli; Elena Baralis; Marco Mellia; Davide Tricarico (Comput. Ind., 2022)

Trusting deep learning natural-language models via local and global explanations. - Francesco Ventura; Salvatore Greco; Daniele Apiletti; Tania Cerquitelli (Knowl. Inf. Syst., 2022)

Diversity and Inclusion Activities in Database Conferences: A 2021 Report. - Sihem Amer-Yahia; Yael Amsterdamer; Sourav S. Bhowmick; Angela Bonifati; Philippe Bonnet; Renata Borovica-Gajic; Barbara Catania; Tania Cerquitelli; Silvia Chiusano; Panos K. Chrysanthis; Carlo Curino; Jérôme Darmont; et al. (SIGMOD Rec., 2022)

Satellite Burned Area Dataset. - Luca Colomba; Alessandro Farasin; Simone Monaco; Salvatore Greco; Paolo Garza; Daniele Apiletti; Elena Baralis; Tania Cerquitelli (Zenodo, 2022)

GINN: Towards Gender InclusioNeural Network. - Matteo Berta; Bartolomeo Vacchetti; Tania Cerquitelli (IEEE Big Data, 2023)

Multi-View Latent Diffusion. - Giuseppe Di Giacomo; Giulio Franzese; Tania Cerquitelli; Carla-Fabiana Chiasserini; Pietro Michiardi (IEEE Big Data, 2023)

Forecasting Li-ion battery State of Charge using Long-Short-Term-Memory network. - Irene Capodicasa; Tania Cerquitelli (EDBT/ICDT Workshops, 2023)

Data-driven energy demand forecasting for electric vehicle charging infrastructure. - Silvia Meddi; Sara Cavaglion; Tania Cerquitelli; Emanuele Manfredi; Andrea Regalia; Raffaele Menolascino; Guido Zardo (EDBT/ICDT Workshops, 2023)

Inclusively: An AI-Based Assistant for Inclusive Writing. - Moreno La Quatra; Salvatore Greco; Luca Cagliero; Tania Cerquitelli (ECML/PKDD (7), 2023)

Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines. - Genoveva Vargas-Solar; Tania Cerquitelli; Javier A. Espinosa-Oviedo; François Cheval; Anthelme Buchaille; Luca Polgar (CoRR, 2023)

Concept-based Explainable Artificial Intelligence: A Survey. - Eleonora Poeta; Gabriele Ciravegna; Eliana Pastor; Tania Cerquitelli; Elena Baralis (CoRR, 2023)

Machine learning empowered computer networks. - Tania Cerquitelli; Michela Meo; Marília Curado; Lea Skorin-Kapov; Eirini-Eleni Tsiropoulou (Comput. Networks, 2023)

Decoding Narratives: Towards a Classification Analysis for Stereotypical Patterns in Italian News Headlines. - Matteo Berta; Salvatore Greco; Giuseppe Tipaldo; Tania Cerquitelli (IEEE Big Data, 2024)

DiMViDA: Diffusion-Based Multi-View Data Augmentation. - Giuseppe Di Giacomo; Giulio Franzese; Tania Cerquitelli; Carla-Fabiana Chiasserini; Pietro Michiardi (CAMAD, 2024)

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. - Daniele Rege Cambrin; Eleonora Poeta; Eliana Pastor; Tania Cerquitelli; Elena Baralis; Paolo Garza (ECCV Workshops (3), 2024)

Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection. - Gabriele Ciravegna; Alkis Koudounas; Marco Fantini; Tania Cerquitelli; Elena Baralis; Erika Crosetti; Giovanni Succo (EDBT/ICDT Workshops, 2024)

DriftLens: A Concept Drift Detection Tool. - Salvatore Greco; Bartolomeo Vacchetti; Daniele Apiletti; Tania Cerquitelli (EDBT, 2024)

DreamShot: Teaching Cinema Shots to Latent Diffusion Models. - Tommaso Massaglia; Bartolomeo Vacchetti; Tania Cerquitelli (EDBT/ICDT Workshops, 2024)

Building Foundations for Inclusiveness through Expert-Annotated Data. - Moreno La Quatra; Salvatore Greco; Luca Cagliero; Michela Tonti; Francesca Dragotto; Rachele Raus; Stefania Cavagnoli; Tania Cerquitelli (EDBT/ICDT Workshops, 2024)

JEM: An AI-based engine workflow to predict simulation's execution time on HPC cluster. - Bartolomeo Vacchetti; Tania Cerquitelli; Vladi Massimo Nosenzo; Enrica Capitelli; Luca Chiosso; Manilo Trocano (ICCAD, 2024)

Voice Disorder Analysis: a Transformer-based Approach. - Alkis Koudounas; Gabriele Ciravegna; Marco Fantini; Erika Crosetti; Giovanni Succo; Tania Cerquitelli; Elena Baralis (INTERSPEECH, 2024)

Equity, Diversity & Inclusion (EDI): Special Day at ACM KDD 2024. - Tania Cerquitelli; Amin Mantrach (KDD, 2024)

Workshop on Human-Interpretable AI. - Gabriele Ciravegna; Mateo Espinosa Zarlenga; Pietro Barbiero; Francesco Giannini; Zohreh Shams; Damien Garreau; Mateja Jamnik; Tania Cerquitelli (KDD, 2024)

Edge-device collaborative computing for multi-view classification. - Marco Palena; Tania Cerquitelli; Carla-Fabiana Chiasserini (Comput. Networks, 2024)

Guest editorial: Papers selected from European conference on advances in databases and information systems. - Genoveva Vargas-Solar; Barbara Catania; Ester Zumpano; Kjetil Nørvåg; Silvia Chiusano; Tania Cerquitelli; Robert Wrembel (Comput. Sci. Inf. Syst., 2024)

Self-supervised Interpretable Concept-based Models for Text Classification. - Francesco De Santis; Philippe Bich; Gabriele Ciravegna; Pietro Barbiero; Danilo Giordano; Tania Cerquitelli (CoRR, 2024)

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data. - Eleonora Poeta; Flavio Giobergia; Eliana Pastor; Tania Cerquitelli; Elena Baralis (CoRR, 2024)

Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time. - Salvatore Greco; Bartolomeo Vacchetti; Daniele Apiletti; Tania Cerquitelli (CoRR, 2024)

NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers. - Salvatore Greco; Ke Zhou 003; Licia Capra; Tania Cerquitelli; Daniele Quercia (Proc. ACM Hum. Comput. Interact., 2024)

Toward Unbiased High-Quality Portraits through Latent-Space Evaluation. - Doaa Almhaithawi; Alessandro Bellini; Tania Cerquitelli (J. Imaging, 2024)

Explaining deep convolutional models by measuring the influence of interpretable features in image classification. - Francesco Ventura; Salvatore Greco; Daniele Apiletti; Tania Cerquitelli (Data Min. Knowl. Discov., 2024)

Diverse Minds, Collective Mission: Surveying the Development of a participative EDI Manifesto. - Matteo Berta; Amin Mantrach; Tania Cerquitelli (EDBT/ICDT Workshops, 2025)

Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses. - Qingqing Liu; Gabriele Ciravegna; Alkis Koudounas; Tania Cerquitelli; Elena Baralis (EDBT/ICDT Workshops, 2025)

Quantify production planning efficiency through predictive modeling in manufacturing systems. - Simone Monaco; Daniele Apiletti; Andrea Francica; Tania Cerquitelli (Comput. Ind. Eng., 2025)

Real-time latency prediction for cloud gaming applications. - Doriana Monaco; Alessio Sacco; Daniele Spina; Francesco Strada; Andrea Bottino; Tania Cerquitelli; Guido Marchetto (Comput. Networks, 2025)

Advances on data management systems. - Ladjel Bellatreche; Marlon Dumas; Panagiotis Karras; Raimundas Matulevicius; Silvia Chiusano; Tania Cerquitelli; Robert Wrembel (Inf. Syst., 2025)

Prime Convolutional Model: Breaking the Ground for Theoretical Explainability. - Francesco Panelli; Doaa Almhaithawi; Tania Cerquitelli; Alessandro Bellini (CoRR, 2025)

V-CEM: Bridging Performance and Intervenability in Concept-based Models. - Francesco De Santis; Gabriele Ciravegna; Philippe Bich; Danilo Giordano; Tania Cerquitelli (CoRR, 2025)

MVP: Multi-source Voice Pathology detection. - Alkis Koudounas; Moreno La Quatra; Gabriele Ciravegna; Marco Fantini; Erika Crosetti; Giovanni Succo; Tania Cerquitelli; Sabato Marco Siniscalchi; Elena Baralis (CoRR, 2025)

Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. - Francesco De Santis; Philippe Bich; Gabriele Ciravegna; Pietro Barbiero; Danilo Giordano; Tania Cerquitelli (CoRR, 2025)

HydroChronos: Forecasting Decades of Surface Water Change. - Daniele Rege Cambrin; Eleonora Poeta; Eliana Pastor; Isaac Corley; Tania Cerquitelli; Elena Baralis; Paolo Garza (CoRR, 2025)

A Concept-based approach to Voice Disorder Detection. - Davide Ghia; Gabriele Ciravegna; Alkis Koudounas; Marco Fantini; Erika Crosetti; Giovanni Succo; Tania Cerquitelli (CoRR, 2025)

Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications. - Salvatore Greco; Moreno La Quatra; Luca Cagliero; Tania Cerquitelli (ACM Trans. Intell. Syst. Technol., 2025)