APPICE, ANNALISA
APPICE, ANNALISA
DIPARTIMENTO DI INFORMATICA
1st International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012
2013-01-01 Appice, Annalisa; Ceci, M; Loglisci, Corrado; Manco, G; Masciari, E; Ras, Zw
A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants
2014-01-01 Fumarola, F; Appice, Annalisa; Malerba, D.
A Co-training Strategy for Multiple View Clustering in Process Mining
2016-01-01 Appice, Annalisa; Malerba, Donato
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
2004-01-01 Malerba, Donato; Appice, Annalisa; Ceci, Michelangelo
A Grid-based Multi-Relational Approach to Process Mining
2008-01-01 Turi, A; Appice, Annalisa; Ceci, Michelangelo; Malerba, Donato
A Grid-Based Multi-relational Approach to Process Mining
2008-01-01 Turi, A; Appice, Annalisa; Ceci, Michelangelo; Malerba, Donato
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico
2020-01-01 Appice, A.; Gel, Y. R.; Iliev, I.; Lyubchich, V.; Malerba, D.
A multi-view deep learning approach for predictive business process monitoring
2021-01-01 Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato
A multi-view deep learning approach for predictive business processes monitoring
2022-01-01 Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D.
A Network Intrusion Detection System for Concept Drifting Network Traffic Data
2021-01-01 Andresini, Giuseppina; Appice, Annalisa; Loglisci, Corrado; Belvedere, Vincenzo; Redavid, Domenico; Malerba, Donato
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data
2017-01-01 Appice, Annalisa; Guccione, Pietro; Malerba, Donato
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
2011-01-01 Appice, Annalisa; Ceci, Michelangelo; Turi, A; Malerba, Donato
A Relational Approach to Novelty Detection in Data Streams
2009-01-01 Appice, Annalisa; Ceci, Michelangelo; Loglisci, Corrado; Caruso, Costantina; Fumarola, F; Todaro, M; Malerba, Donato
A relational approach to probabilistic classification in a transductive setting
2009-01-01 Malerba, Donato; Ceci, Michelangelo; Appice, Annalisa
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
2009-01-01 Fumarola, F; Ciampi, A; Appice, Annalisa; Malerba, Donato
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
2009-01-01 Fumarola, F; Ciampi, A; Appice, Annalisa; Malerba, Donato
A two-step network intrusion detection system for multi-class classification
2021-01-01 Andresini, G.; Appice, A.; Malerba, D.
Active learning via collective inference in network regression problems
2018-01-01 Appice, Annalisa; Loglisci, Corrado; Malerba, Donato
Activity Prediction of Business Process Instances with Inception CNN Models
2019-01-01 Di Mauro, N.; Appice, A.; Basile, T. M. A.
Advanced Programming of Intelligent Social Robots
2019-01-01 Malerba, Donato; Appice, Annalisa; Buono, Paolo; Castellano, Giovanna; DE CAROLIS, Berardina; de GEMMIS, Marco; Polignano, Marco; Rossano, Veronica; Rudd, Lynn Margaret
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
1st International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012 | 1-gen-2013 | Appice, Annalisa; Ceci, M; Loglisci, Corrado; Manco, G; Masciari, E; Ras, Zw | |
A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants | 1-gen-2014 | Fumarola, F; Appice, Annalisa; Malerba, D. | |
A Co-training Strategy for Multiple View Clustering in Process Mining | 1-gen-2016 | Appice, Annalisa; Malerba, Donato | |
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System | 1-gen-2004 | Malerba, Donato; Appice, Annalisa; Ceci, Michelangelo | |
A Grid-based Multi-Relational Approach to Process Mining | 1-gen-2008 | Turi, A; Appice, Annalisa; Ceci, Michelangelo; Malerba, Donato | |
A Grid-Based Multi-relational Approach to Process Mining | 1-gen-2008 | Turi, A; Appice, Annalisa; Ceci, Michelangelo; Malerba, Donato | |
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico | 1-gen-2020 | Appice, A.; Gel, Y. R.; Iliev, I.; Lyubchich, V.; Malerba, D. | |
A multi-view deep learning approach for predictive business process monitoring | 1-gen-2021 | Pasquadibisceglie, Vincenzo; Appice, Annalisa; Castellano, Giovanna; Malerba, Donato | |
A multi-view deep learning approach for predictive business processes monitoring | 1-gen-2022 | Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D. | |
A Network Intrusion Detection System for Concept Drifting Network Traffic Data | 1-gen-2021 | Andresini, Giuseppina; Appice, Annalisa; Loglisci, Corrado; Belvedere, Vincenzo; Redavid, Domenico; Malerba, Donato | |
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data | 1-gen-2017 | Appice, Annalisa; Guccione, Pietro; Malerba, Donato | |
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets | 1-gen-2011 | Appice, Annalisa; Ceci, Michelangelo; Turi, A; Malerba, Donato | |
A Relational Approach to Novelty Detection in Data Streams | 1-gen-2009 | Appice, Annalisa; Ceci, Michelangelo; Loglisci, Corrado; Caruso, Costantina; Fumarola, F; Todaro, M; Malerba, Donato | |
A relational approach to probabilistic classification in a transductive setting | 1-gen-2009 | Malerba, Donato; Ceci, Michelangelo; Appice, Annalisa | |
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams | 1-gen-2009 | Fumarola, F; Ciampi, A; Appice, Annalisa; Malerba, Donato | |
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams | 1-gen-2009 | Fumarola, F; Ciampi, A; Appice, Annalisa; Malerba, Donato | |
A two-step network intrusion detection system for multi-class classification | 1-gen-2021 | Andresini, G.; Appice, A.; Malerba, D. | |
Active learning via collective inference in network regression problems | 1-gen-2018 | Appice, Annalisa; Loglisci, Corrado; Malerba, Donato | |
Activity Prediction of Business Process Instances with Inception CNN Models | 1-gen-2019 | Di Mauro, N.; Appice, A.; Basile, T. M. A. | |
Advanced Programming of Intelligent Social Robots | 1-gen-2019 | Malerba, Donato; Appice, Annalisa; Buono, Paolo; Castellano, Giovanna; DE CAROLIS, Berardina; de GEMMIS, Marco; Polignano, Marco; Rossano, Veronica; Rudd, Lynn Margaret |