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APPICE, ANNALISA

APPICE, ANNALISA  

DIPARTIMENTO DI INFORMATICA  

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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