Composite Events in Chimera. - Rosa Meo; Giuseppe Psaila; Stefano Ceri (EDBT, 1996)

A New SQL-like Operator for Mining Association Rules. - Rosa Meo; Giuseppe Psaila; Stefano Ceri (VLDB, 1996)

Amore: An Integrated Environment for Database Mining. - Elena Baralis; Stefano Ceri; Rosa Meo; Giuseppe Psaila; Marco Richeldi (SEBD, 1997)

A Tightly-Coupled Architecture for Data Mining. - Rosa Meo; Giuseppe Psaila; Stefano Ceri (ICDE, 1998)

An Extension to SQL for Mining Association Rules. - Rosa Meo; Giuseppe Psaila; Stefano Ceri (Data Min. Knowl. Discov., 1998)

A New Approach for the Discovery of Frequent Itemsets. - Rosa Meo (DaWaK, 1999)

Data Mining in Data Warehouses. - Elena Baralis; Rosa Meo; Giuseppe Psaila (SEBD, 1999)

A Configurable System for the Construction of Adaptive Virtual Stores. - Liliana Ardissono; Anna Goy; Rosa Meo; Giovanna Petrone; Luca Console; Leonardo Lesmo; Carla Simone; Pietro Torasso (World Wide Web, 1999)

Theory of dependence values. - Rosa Meo (ACM Trans. Database Syst., 2000)

A Comparison between Query Languages for the Extraction of Association Rules. - Marco Botta; Jean-François Boulicaut; Cyrille Masson; Rosa Meo (DaWaK, 2002)

Toward XML-Based Knowledge Discovery Systems. - Rosa Meo; Giuseppe Psaila (ICDM, 2002)

Maximum independence and mutual information. - Rosa Meo (IEEE Trans. Inf. Theory, 2002)

Optimization of a Language for Data Mining. - Rosa Meo (SAC, 2003)

Query Languages Supporting Descriptive Rule Mining: A Comparative Study. - Marco Botta; Jean-François Boulicaut; Cyrille Masson; Rosa Meo (Database Support for Data Mining Applications, 2004)

A Novel Incremental Approach to Association Rules Mining in Inductive Databases. - Rosa Meo; Marco Botta; Roberto Esposito; Arianna Gallo (Constraint-Based Mining and Inductive Databases, 2004)

Employing Inductive Databases in Concrete Applications. - Rosa Meo; Pier Luca Lanzi; Maristella Matera; Danilo Careggio; Roberto Esposito (Constraint-Based Mining and Inductive Databases, 2004)

Data Mining: The Next Generation. - Raghu Ramakrishnan 001; Rakesh Agrawal 001; Johann-Christoph Freytag; Toni Bollinger; Christopher W. Clifton; Saso Dzeroski; Jochen Hipp; Daniel A. Keim; Stefan Kramer 001; Hans-Peter Kriegel; Ulf Leser; Bing Liu 001; et al. (Perspectives Workshop: Data Mining: The Next Generation, 2004)

Query Rewriting in Itemset Mining. - Rosa Meo; Marco Botta; Roberto Esposito (FQAS, 2004)

Integrating Web Conceptual Modeling and Web Usage Mining. - Rosa Meo; Pier Luca Lanzi; Maristella Matera; Roberto Esposito (WebKDD, 2004)

Editorial message: special track on data mining. - Hasan M. Jamil; Rosa Meo (SAC, 2004)

Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. - Arianna Gallo; Roberto Esposito; Rosa Meo; Marco Botta (AI*IA, 2005)

Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery. - Rosa Meo (DEXA Workshops, 2005)

An XML-Based Database for Knowledge Discovery. - Rosa Meo; Giuseppe Psaila (EDBT Workshops, 2006)

Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets. - Arianna Gallo; Rosa Meo (KDID, 2006)

Answering constraint-based mining queries on itemsets using previous materialized results. - Roberto Esposito; Rosa Meo; Marco Botta (J. Intell. Inf. Syst., 2006)

Incremental Extraction of Association Rules in Applicative Domains. - Arianna Gallo; Roberto Esposito; Rosa Meo; Marco Botta (Appl. Artif. Intell., 2007)

Towards the Automatic Construction of Conceptual Taxonomies. - Dino Ienco; Rosa Meo (DaWaK, 2008)

Classification of chestnuts with feature selection by noise resilient classifiers. - Elena Roglia; Rossella Cancelliere; Rosa Meo (ESANN, 2008)

Exploration and Reduction of the Feature Space by Hierarchical Clustering. - Dino Ienco; Rosa Meo (SDM, 2008)

Clustering the Feature Space. - Dino Ienco; Rosa Meo (SEBD, 2008)

Using PageRank in Feature Selection. - Dino Ienco; Rosa Meo; Marco Botta (SEBD, 2008)

An XML-Based Database for Knowledge Discovery. - Rosa Meo; Giuseppe Psaila (Selected Readings on Database Technologies and Applications, 2009)

An XML-Based Database for Knowledge Discovery. - Rosa Meo; Giuseppe Psaila (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Context-Based Distance Learning for Categorical Data Clustering. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (IDA, 2009)

Parameter-Free Hierarchical Co-clustering by n-Ary Splits. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (ECML/PKDD (1), 2009)

A novel distance-based classifier built on pattern ranking. - Dipankar Bachar; Rosa Meo (SAC, 2009)

Distance based Clustering for Categorical Data. - Dino Ienco; Rosa Meo (SEBD, 2009)

Finding High Order Dependencies in Data. - Rosa Meo; Leonardo D'Ambrosi (ISCIS, 2011)

MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata. - Rosa Meo; Elena Roglia; Enrico Ponassi (ECML/PKDD (3), 2011)

A Modular Database Architecture Enabled to Comparative Sequence Analysis. - Paola Bonfante; Francesca Cordero; Stefano Ghignone; Dino Ienco; Luisa Lanfranco; Giorgio Leonardi; Rosa Meo; Stefania Montani; Luca Roversi; Alessia Visconti (Trans. Large Scale Data Knowl. Centered Syst., 2011)

LODE: A distance-based classifier built on ensembles of positive and negative observations. - Rosa Meo; Dipankar Bachar; Dino Ienco (Pattern Recognit., 2012)

The Exploitation of Data from Remote and Human Sensors for Environment Monitoring in the SMAT Project. - Rosa Meo; Elena Roglia; Andrea Bottino (Sensors, 2012)

From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (ACM Trans. Knowl. Discov. Data, 2012)

Parameter-less co-clustering for star-structured heterogeneous data. - Dino Ienco; Céline Robardet; Ruggero G. Pensa; Rosa Meo (Data Min. Knowl. Discov., 2013)

Geographic Summaries from Crowdsourced Data. - Giuseppe Rizzo 002; Giacomo Falcone; Rosa Meo; Ruggero G. Pensa; Raphaël Troncy; Vuk Milicic (ESWC (Satellite Events), 2014)

Hierarchical co-clustering: off-line and incremental approaches. - Ruggero G. Pensa; Dino Ienco; Rosa Meo (Data Min. Knowl. Discov., 2014)

A SOA-Based Module for the Production of Geo-Summaries. - Elena Roglia; Rosa Meo (Int. J. Organ. Collect. Intell., 2014)

Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. - Toon Calders; Floriana Esposito; Eyke Hüllermeier; Rosa Meo (Mach. Learn., 2014)

Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. - Rosa Meo; Roberto Esposito; Marco Botta; Sergio Viola; Chee Ming Choor; Valter Mellano; Franco Ciaramaglia (RTSI, 2015)

EIC Editorial. - Jian Pei 001; Leman Akoglu; Hongrae Lee; Justin J. Levandoski; Xuelong Li 001; Rosa Meo; Carlos Ordonez 001; Jeff M. Phillips; Barbara Poblete; K. Selçuk Candan; Meng Wang 001; Ji-Rong Wen; et al. (IEEE Trans. Knowl. Data Eng., 2016)

Shaping City Neighborhoods Leveraging Crowd Sensors. - Giuseppe Rizzo 002; Rosa Meo; Ruggero G. Pensa; Giacomo Falcone; Raphaël Troncy (Inf. Syst., 2017)

A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data. - Dino Ienco; Ruggero G. Pensa; Rosa Meo (IEEE Trans. Neural Networks Learn. Syst., 2017)

Processing Affect in Social Media: A Comparison of Methods to Distinguish Emotions in Tweets. - Rosa Meo; Emilio Sulis (ACM Trans. Internet Techn., 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)

Evaluating the MuMe Dialogue System with the IDIAL protocol. - Aureliano Porporato; Alessandro Mazzei; Daniele Paolo Radicioni; Rosa Meo (CLiC-it, 2019)

Intelligent monitoring applications for Industry 4.0. - Federico Benedetto; Davide Brunetti; Cristina Gena; Mirko Lai; Rosa Meo; Fabiana Vernero (IUI Companion, 2020)

How are you? How a Robot can Learn to Express its own Roboceptions. - Irene Trifirò; Agnese Augello; Umberto Maniscalco; Giovanni Pilato; Filippo Vella; Rosa Meo (KES, 2020)

Multi-view Latent Learning Applied to Fashion Industry. - Giovanni Battista Gardino; Rosa Meo; Giuseppe Craparotta (Inf. Syst. Frontiers, 2021)

Fuel Prediction and Reduction in Public Transportation by Sensor Monitoring and Bayesian Networks. - Federico Delussu; Faisal Imran; Christian Mattia; Rosa Meo (Sensors, 2021)

Explainable, Interpretable, Trustworthy, Responsible, Ethical, Fair, Verifiable AI... What's Next? - Rosa Meo; Roberto Nai; Emilio Sulis (ADBIS, 2022)

Public Procurement Fraud Detection and Artificial Intelligence Techniques: a Literature Review. - Roberto Nai; Emilio Sulis; Rosa Meo (EKAW (Companion), 2022)

Exploitation and Merge of Information Sources for Public Procurement Improvement. - Roberto Nai; Emilio Sulis; Paolo Pasteris; Mirko Giunta; Rosa Meo (PKDD/ECML Workshops (1), 2022)

Experiments and Comparison of Digital Twinning of Photovoltaic Panels by Machine Learning Models and a Cyber-Physical Model in Modelica. - Federico Delussu; Davide Manzione; Rosa Meo; Gabriele Ottino; Mark Asare (IEEE Trans. Ind. Informatics, 2022)

AI Applied to the Analysis of the Contracts of the Italian Public Administrations. - Roberto Nai; Ishrat Fatima; Gabriele Morina; Emilio Sulis; Laura Genga; Rosa Meo; Paolo Pasteris (Ital-IA, 2023)

Process Mining on a Public Procurement Dataset: A Case Study. - Roberto Nai; Emilio Sulis; Rosa Meo; Francesco Gorgerino; Gabriella Margherita Racca; Laura Genga (PKDD/ECML Workshops (1), 2023)

Multivariate Time Series Evapotranspiration Forecasting using Machine Learning Techniques. - Chalachew Muluken Liyew; Rosa Meo; Elvira Di Nardo; Stefano Ferraris (SAC, 2023)

Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D'Ivoire. - Stefano Ferraris; Rosa Meo; Stefano Pinardi; Matteo Salis; Gabriele Sartor (Sensors, 2023)

Public tenders, complaints, machine learning and recommender systems: a case study in public administration. - Roberto Nai; Rosa Meo; Gabriele Morina; Paolo Pasteris (Comput. Law Secur. Rev., 2023)

Large Language Models and Recommendation Systems: A Proof-of-Concept Study on Public Procurements. - Roberto Nai; Emilio Sulis; Ishrat Fatima; Rosa Meo (NLDB (2), 2024)

What's Behind This Water Table Depth Forecasting? RISE Application for Spatial, Temporal, and Spatio-Temporal Explanations. - Matteo Salis; Gabriele Sartor; Marco Pellegrino; Stefano Ferraris; Abdourrahmane M. Atto; Rosa Meo (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 2024)

Collection and Analysis of Sensitive Data with Privacy Protection by a Distributed Randomized Response Protocol. - Faisal Imran; Rosa Meo (SAC, 2024)

Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery. - Gabriele Sartor; Matteo Salis; Stefano Pinardi; Ozgur Saracik; Rosa Meo (CoRR, 2024)

Synthesizing Evolving Symbolic Representations for Autonomous Systems. - Gabriele Sartor; Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci; Rosa Meo (CoRR, 2024)

Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series. - Matteo Salis; Abdourrahmane M. Atto; Stefano Ferraris; Rosa Meo (CoRR, 2024)

Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series. - Matteo Salis; Abdourrahmane M. Atto; Stefano Ferraris; Rosa Meo (Environ. Model. Softw., 2025)

A review of feature selection methods for actual evapotranspiration prediction. - Chalachew Muluken Liyew; Stefano Ferraris; Elvira Di Nardo; Rosa Meo (Artif. Intell. Rev., 2025)