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ORCIDRosa Meo
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- affiliation: University of Turin, Italy
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2020 – today
- 2024
[c41]Roberto Nai
, Emilio Sulis, Ishrat Fatima, Rosa Meo:
Large Language Models and Recommendation Systems: A Proof-of-Concept Study on Public Procurements. NLDB (2) 2024: 280-290- [c40]Faisal Imran, Rosa Meo:
Collection and Analysis of Sensitive Data with Privacy Protection by a Distributed Randomized Response Protocol. SAC 2024: 1415-1424 - [i4]Gabriele Sartor, Matteo Salis, Stefano Pinardi, Ozgur Saracik, Rosa Meo:
Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery. CoRR abs/2409.11186 (2024) - [i3]Gabriele Sartor, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Rosa Meo:
Synthesizing Evolving Symbolic Representations for Autonomous Systems. CoRR abs/2409.11756 (2024) - [i2]Matteo Salis, Abdourrahmane M. Atto, Stefano Ferraris, Rosa Meo:
Time Distributed Deep Learning models for Purely Exogenous Forecasting. Application to Water Table Depth Prediction using Weather Image Time Series. CoRR abs/2409.13284 (2024) - 2023
- [j24]Roberto Nai, Rosa Meo, Gabriele Morina, Paolo Pasteris:
Public tenders, complaints, machine learning and recommender systems: a case study in public administration. Comput. Law Secur. Rev. 51: 105887 (2023) - [j23]Stefano Ferraris, Rosa Meo, Stefano Pinardi, Matteo Salis, Gabriele Sartor:
Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D'Ivoire. Sensors 23(17): 7632 (2023) - [c39]Roberto Nai, Ishrat Fatima, Gabriele Morina, Emilio Sulis, Laura Genga, Rosa Meo, Paolo Pasteris:
AI Applied to the Analysis of the Contracts of the Italian Public Administrations. Ital-IA 2023: 255-260 - [c38]Chalachew Muluken Liyew, Rosa Meo, Elvira Di Nardo, Stefano Ferraris:
Multivariate Time Series Evapotranspiration Forecasting using Machine Learning Techniques. SAC 2023: 377-380 - 2022
- [j22]Federico Delussu, Davide Manzione, Rosa Meo, Gabriele Ottino, Mark Asare:
Experiments and Comparison of Digital Twinning of Photovoltaic Panels by Machine Learning Models and a Cyber-Physical Model in Modelica. IEEE Trans. Ind. Informatics 18(6): 4018-4028 (2022) - [c37]Rosa Meo, Roberto Nai, Emilio Sulis:
Explainable, Interpretable, Trustworthy, Responsible, Ethical, Fair, Verifiable AI... What's Next? ADBIS 2022: 25-34 - [c36]Roberto Nai, Emilio Sulis, Rosa Meo:
Public Procurement Fraud Detection and Artificial Intelligence Techniques: a Literature Review. EKAW (Companion) 2022 - [c35]Roberto Nai, Emilio Sulis, Paolo Pasteris, Mirko Giunta, Rosa Meo:
Exploitation and Merge of Information Sources for Public Procurement Improvement. PKDD/ECML Workshops (1) 2022: 89-102 - 2021
- [j21]Giovanni Battista Gardino, Rosa Meo, Giuseppe Craparotta:
Multi-view Latent Learning Applied to Fashion Industry. Inf. Syst. Frontiers 23(1): 53-69 (2021) - [j20]Federico Delussu, Faisal Imran, Christian Mattia, Rosa Meo:
Fuel Prediction and Reduction in Public Transportation by Sensor Monitoring and Bayesian Networks. Sensors 21(14): 4733 (2021) - 2020
- [c34]Federico Benedetto, Davide Brunetti, Cristina Gena, Mirko Lai, Rosa Meo, Fabiana Vernero:
Intelligent monitoring applications for Industry 4.0. IUI Companion 2020: 67-68 - [c33]Irene Trifirò, Agnese Augello, Umberto Maniscalco, Giovanni Pilato, Filippo Vella, Rosa Meo:
How are you? How a Robot can Learn to Express its own Roboceptions. KES 2020: 480-489
2010 – 2019
- 2019
- [c32]Aureliano Porporato, Alessandro Mazzei, Daniele Paolo Radicioni, Rosa Meo:
Evaluating the MuMe Dialogue System with the IDIAL protocol. CLiC-it 2019 - 2018
- [p4]Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Rosa Meo:
Data Mining in Databases: Languages and Indices. A Comprehensive Guide Through the Italian Database Research 2018: 341-351 - 2017
- [j19]Giuseppe Rizzo, Rosa Meo, Ruggero G. Pensa, Giacomo Falcone, Raphaël Troncy:
Shaping City Neighborhoods Leveraging Crowd Sensors. Inf. Syst. 64: 368-378 (2017) - [j18]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1017-1029 (2017) - [j17]Rosa Meo, Emilio Sulis:
Processing Affect in Social Media: A Comparison of Methods to Distinguish Emotions in Tweets. ACM Trans. Internet Techn. 17(1): 7:1-7:25 (2017) - 2016
- [j16]Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28(10): 2535-2537 (2016) - 2015
- [c31]Rosa Meo, Roberto Esposito, Marco Botta, Sergio Viola, Chee Ming Choor, Valter Mellano, Franco Ciaramaglia:
Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. RTSI 2015: 334-340 - 2014
- [j15]Ruggero G. Pensa, Dino Ienco, Rosa Meo:
Hierarchical co-clustering: off-line and incremental approaches. Data Min. Knowl. Discov. 28(1): 31-64 (2014) - [j14]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track. Data Min. Knowl. Discov. 28(5-6): 1129-1133 (2014) - [j13]Elena Roglia, Rosa Meo:
A SOA-Based Module for the Production of Geo-Summaries. Int. J. Organ. Collect. Intell. 4(1): 64-76 (2014) - [j12]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. Mach. Learn. 97(1-2): 1-3 (2014) - [c30]Giuseppe Rizzo, Giacomo Falcone, Rosa Meo, Ruggero G. Pensa, Raphaël Troncy, Vuk Milicic:
Geographic Summaries from Crowdsourced Data. ESWC (Satellite Events) 2014: 477-482 - [e5]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8724, Springer 2014, ISBN 978-3-662-44847-2 [contents] - [e4]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8725, Springer 2014, ISBN 978-3-662-44850-2 [contents] - [e3]Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. Lecture Notes in Computer Science 8726, Springer 2014, ISBN 978-3-662-44844-1 [contents] - 2013
- [j11]Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo:
Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. 26(2): 217-254 (2013) - 2012
- [j10]Rosa Meo, Dipankar Bachar, Dino Ienco:
LODE: A distance-based classifier built on ensembles of positive and negative observations. Pattern Recognit. 45(4): 1409-1425 (2012) - [j9]Rosa Meo, Elena Roglia, Andrea Bottino:
The Exploitation of Data from Remote and Human Sensors for Environment Monitoring in the SMAT Project. Sensors 12(12): 17504-17535 (2012) - [j8]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
From Context to Distance: Learning Dissimilarity for Categorical Data Clustering. ACM Trans. Knowl. Discov. Data 6(1): 1:1-1:25 (2012) - 2011
- [j7]Paola Bonfante, Francesca Cordero, Stefano Ghignone, Dino Ienco, Luisa Lanfranco, Giorgio Leonardi, Rosa Meo, Stefania Montani, Luca Roversi, Alessia Visconti:
A Modular Database Architecture Enabled to Comparative Sequence Analysis. Trans. Large Scale Data Knowl. Centered Syst. 4: 124-147 (2011) - [c29]Rosa Meo, Leonardo D'Ambrosi:
Finding High Order Dependencies in Data. ISCIS 2011: 35-41 - [c28]Rosa Meo, Elena Roglia, Enrico Ponassi:
MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata. ECML/PKDD (3) 2011: 642-645
2000 – 2009
- 2009
- [c27]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
Context-Based Distance Learning for Categorical Data Clustering. IDA 2009: 83-94 - [c26]Dino Ienco, Ruggero G. Pensa, Rosa Meo:
Parameter-Free Hierarchical Co-clustering by n-Ary Splits. ECML/PKDD (1) 2009: 580-595 - [c25]Dipankar Bachar, Rosa Meo:
A novel distance-based classifier built on pattern ranking. SAC 2009: 1427-1432 - [c24]Dino Ienco, Rosa Meo:
Distance based Clustering for Categorical Data. SEBD 2009: 281-288 - [p3]Rosa Meo, Giuseppe Psaila:
An XML-Based Database for Knowledge Discovery. Selected Readings on Database Technologies and Applications 2009: 352-368 - [p2]Rosa Meo, Giuseppe Psaila:
An XML-Based Database for Knowledge Discovery. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 1320-1343 - 2008
- [c23]Dino Ienco, Rosa Meo:
Towards the Automatic Construction of Conceptual Taxonomies. DaWaK 2008: 327-336 - [c22]Elena Roglia, Rossella Cancelliere, Rosa Meo:
Classification of chestnuts with feature selection by noise resilient classifiers. ESANN 2008: 271-276 - [c21]Dino Ienco, Rosa Meo:
Exploration and Reduction of the Feature Space by Hierarchical Clustering. SDM 2008: 577-587 - [c20]Dino Ienco, Rosa Meo, Marco Botta:
Using PageRank in Feature Selection. SEBD 2008: 93-100 - [c19]Dino Ienco, Rosa Meo:
Clustering the Feature Space. SEBD 2008: 374-381 - 2007
- [j6]Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta:
Incremental Extraction of Association Rules in Applicative Domains. Appl. Artif. Intell. 21(4&5): 297-315 (2007) - 2006
- [j5]Roberto Esposito, Rosa Meo, Marco Botta:
Answering constraint-based mining queries on itemsets using previous materialized results. J. Intell. Inf. Syst. 26(1): 95-111 (2006) - [c18]Rosa Meo, Giuseppe Psaila:
An XML-Based Database for Knowledge Discovery. EDBT Workshops 2006: 814-828 - [c17]Arianna Gallo, Rosa Meo:
Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets. KDID 2006: 97-115 - 2005
- [c16]Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta:
Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA 2005: 258-269 - [c15]Rosa Meo:
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery. DEXA Workshops 2005: 1003-1007 - 2004
- [c14]Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo:
A Novel Incremental Approach to Association Rules Mining in Inductive Databases. Constraint-Based Mining and Inductive Databases 2004: 267-294 - [c13]Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito:
Employing Inductive Databases in Concrete Applications. Constraint-Based Mining and Inductive Databases 2004: 295-327 - [c12]Rosa Meo, Marco Botta, Roberto Esposito:
Query Rewriting in Itemset Mining. FQAS 2004: 111-124 - [c11]Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito:
Integrating Web Conceptual Modeling and Web Usage Mining. WebKDD 2004: 135-148 - [c10]Hasan M. Jamil, Rosa Meo:
Editorial message: special track on data mining. SAC 2004: 513-514 - [p1]Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo:
Query Languages Supporting Descriptive Rule Mining: A Comparative Study. Database Support for Data Mining Applications 2004: 24-51 - [e2]Rosa Meo, Pier Luca Lanzi, Mika Klemettinen:
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries. Lecture Notes in Computer Science 2682, Springer 2004, ISBN 3-540-22479-3 [contents] - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [c9]Rosa Meo:
Optimization of a Language for Data Mining. SAC 2003: 437-444 - 2002
- [j4]Rosa Meo:
Maximum independence and mutual information. IEEE Trans. Inf. Theory 48(1): 318-324 (2002) - [c8]Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo:
A Comparison between Query Languages for the Extraction of Association Rules. DaWaK 2002: 1-10 - [c7]Rosa Meo, Giuseppe Psaila:
Toward XML-Based Knowledge Discovery Systems. ICDM 2002: 665-668 - [e1]Mika Klemettinen, Rosa Meo:
Proceedings of the First International Workshop on Inductive Databases, 20 August 2002, Helsinki, Finland. Helsinki University Printing House, Helsinki 2002, ISBN 952-10-0638-2 [contents] - 2000
- [j3]Rosa Meo:
Theory of dependence values. ACM Trans. Database Syst. 25(3): 380-406 (2000)
1990 – 1999
- 1999
- [j2]Liliana Ardissono, Anna Goy, Rosa Meo, Giovanna Petrone, Luca Console, Leonardo Lesmo, Carla Simone, Pietro Torasso:
A Configurable System for the Construction of Adaptive Virtual Stores. World Wide Web 2(3): 143-159 (1999) - [c6]Rosa Meo:
A New Approach for the Discovery of Frequent Itemsets. DaWaK 1999: 193-202 - [c5]Elena Baralis, Rosa Meo, Giuseppe Psaila:
Data Mining in Data Warehouses. SEBD 1999: 51-65 - 1998
- [j1]Rosa Meo, Giuseppe Psaila, Stefano Ceri:
An Extension to SQL for Mining Association Rules. Data Min. Knowl. Discov. 2(2): 195-224 (1998) - [c4]Rosa Meo, Giuseppe Psaila, Stefano Ceri:
A Tightly-Coupled Architecture for Data Mining. ICDE 1998: 316-323 - 1997
- [c3]Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Psaila, Marco Richeldi:
Amore: An Integrated Environment for Database Mining. SEBD 1997: 285-302 - 1996
- [c2]Rosa Meo, Giuseppe Psaila, Stefano Ceri:
Composite Events in Chimera. EDBT 1996: 56-76 - [c1]Rosa Meo, Giuseppe Psaila, Stefano Ceri:
A New SQL-like Operator for Mining Association Rules. VLDB 1996: 122-133
Coauthor Index
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last updated on 2024-10-18 20:27 CEST by the dblp team
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