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Corrado Appice Annalisa Malerba Donato Loglisci

Observed names: C Loglisci, C. Loglisci, Corrado Loglisci, LOGLISCI C, LOGLISCI, CORRADO, Loglisci C., Loglisci Corrado, Loglisci, C, Loglisci, C., Loglisci, Corrado, Loglisci, Corrado (University Of Bari, Italy); Appice Annalisa (University Of Bari, Italy); Malerba Donato (University Of Bari, Italy)
ORCID: 0000-0001-5790-8368
Observed ORCID: 0000-0001-5790-8368
OpenAlex ID: A5073046271
Multi-Channel Deep Feature Learning for Intrusion Detection
2020 · Giuseppina Andresini, Annalisa Appice, et al. · IEEE Access · 136
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INSOMNIA
2021 · Giuseppina Andresini, Feargus Pendlebury, et al. · ACM Workshop on Artificial Intelligence and Security (AISec) · 118
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes
2013 · Gianvito Pio, Michelangelo Ceci, et al. · BMC Bioinformatics · 48
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Exploiting the Auto-Encoder Residual Error for Intrusion Detection
2019 · Giuseppina Andresini, Annalisa Appice, et al. · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · 46
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression
2017 · Corrado Loglisci, Donato Malerba · Statistical Analysis and Data Mining The ASA Data Science Journal · 29
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining
2009 · Antonio Turi, Corrado Loglisci, et al. · BMC Bioinformatics · 26
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A Network Intrusion Detection System for Concept Drifting Network Traffic Data
2021 · Giuseppina Andresini, Annalisa Appice, et al. · Lecture notes in computer science · 18
ECML PKDD 2020 Workshops
2020 · Zimmermann, Albrecht, Koprinska, Irena, et al. · Communications in computer and information science · 17
Collective regression for handling autocorrelation of network data in a transductive setting
2015 · Corrado Loglisci, Annalisa Appice, et al. · Journal of Intelligent Information Systems · 17
New Frontiers in Mining Complex Patterns
2014 · Annalisa Appice, Michelangelo Ceci, et al. · Lecture notes in computer science · 17
Relational mining for discovering changes in evolving networks
2014 · Corrado Loglisci, Michelangelo Ceci, et al. · Neurocomputing · 16
Mining Generalized Association Rules on Biomedical Literature
2005 · Margherita Berardi, Michele Lapi, et al. · Lecture notes in computer science · 16
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing
2019 · Marco Zappatore, Corrado Loglisci, et al. · IEEE Access · 15
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Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents
2012 · Corrado Loglisci, Dino Ienco, et al. · IEEE ... International Conference on Data Mining workshops · 14
Using interactions and dynamics for mining groups of moving objects from trajectory data
2017 · Corrado Loglisci · International Journal of Geographical Information Systems · 13
Discovering Evolution Chains in Dynamic Networks
2013 · Corrado Loglisci, Michelangelo Ceci, et al. · Lecture notes in computer science · 13
Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions
2012 · Pio Gianvito, Ceci Michelangelo, et al. · Frontiers in artificial intelligence and applications · 12
Discovering Temporal Bisociations for Linking Concepts over Time
2011 · Corrado Loglisci, Michelangelo Ceci · Lecture notes in computer science · 12
Mining microscopic and macroscopic changes in network data streams
2018 · Corrado Loglisci, Michelangelo Ceci, et al. · Knowledge-Based Systems · 11
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian
2018 · Marjana Prifti Skenduli, Marenglen Biba, et al. · Lecture notes in computer science · 11
New Frontiers in Mining Complex Patterns
2013 · Annalisa Appice, Michelangelo Ceci, et al. · Lecture notes in computer science · 11
Novelty Detection from Evolving Complex Data Streams with Time Windows
2009 · Michelangelo Ceci, Annalisa Appice, et al. · Lecture notes in computer science · 11
Condensed representations of changes in dynamic graphs through emerging subgraph mining
2020 · Angelo Impedovo, Corrado Loglisci, et al. · Engineering Applications of Artificial Intelligence · 10
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies
2009 · Corrado Loglisci, Donato Malerba · Lecture notes in computer science · 10
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors
2020 · Angelo Impedovo, Paolo Mignone, et al. · Lecture notes in computer science · 9
Works count: 313
Citation count: 811
H-index: 14
I10-index: 25
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