Corrado Loglisci

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Topics

Change Detection

Intrusion Detection

Collective Inference

Top Venues

J. Intell. Inf. Syst.

Publications

Natale Amato, Berardina De Carolis, Francesco de Gioia, Mario Nicola Venezia, Giuseppe Palestra, Corrado Loglisci
Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper). IUI Workshops (2024)
Corrado Loglisci, Donato Malerba
Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA (2023)
Berardina De Carolis, Corrado Loglisci, Monitillo Giuseppe, Katya Trufanova
Analyzing Stress Responses Related to Usability of User Interfaces. CHItaly (2023)
Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci
Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. SEBD (2023)
Gianluca Calo', Francesco Massafra, Berardina De Carolis, Corrado Loglisci
Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper). EVALITA (2023)
Corrado Loglisci, Ivan Diliso, Donato Malerba
A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD (2023)
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS (2021)
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57 (2) (2021)
Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS (2021)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD (2020)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94 (2020)
Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS (2020)
Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS (2020)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192 (2020)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8 (2020)
Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access 7 (2019)
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops (2019)
Corrado Loglisci, Donato Malerba
Periodicity Detection of Emotional Communities in Microblogging. AI*IA (2019)
Annalisa Appice, Corrado Loglisci, Donato Malerba
Active learning via collective inference in network regression problems. Inf. Sci. (2018)
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA (2018)
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS (2018)
Corrado Loglisci
Using interactions and dynamics for mining groups of moving objects from trajectory data. Int. J. Geogr. Inf. Sci. 32 (7) (2018)
Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT (2018)
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161 (2018)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
Corrado Loglisci, Donato Malerba
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. 10 (1) (2017)
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML (2016)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47 (1) (2016)
Corrado Loglisci, Annalisa Appice, Donato Malerba
Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. 46 (3) (2016)
Corrado Loglisci, Donato Malerba
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP (2015)
Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba
Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA (2015)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Relational mining for discovering changes in evolving networks. Neurocomputing 150 (2015)
Corrado Loglisci, Bachir Balech, Donato Malerba
Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS (2015)
Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops (2014)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco
Mining complex patterns. J. Intell. Inf. Syst. 42 (2) (2014)
Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL (2014)
Corrado Loglisci, Donato Malerba
Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS (2014)
Corrado Loglisci, Annalisa Appice, Donato Malerba
Collective Inference for Handling Autocorrelation in Network Regression. ISMIS (2014)
Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba
Network Regression in Collective Inference Setting. SEBD (2014)
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD (2013)
Corrado Loglisci
Time-based discovery in biomedical literature: mining temporal links. Int. J. Data Anal. Tech. Strateg. 5 (2) (2013)
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. 14 (S-7) (2013)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Discovering Evolution Chains in Dynamic Networks. NFMCP (2012)
Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI (2012)
Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2) (2012)
Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops (2012)
Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia
Document Image Understanding through Iterative Transductive Learning. IRCDL (2012)
Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
Discovering process models through relational disjunctive patterns mining. CIDM (2011)
Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito
MBlab: Molecular Biodiversity Laboratory. IRCDL (2011)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) (2011)
Corrado Loglisci, Michelangelo Ceci
Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2) (2011)
Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD (2011)
Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL (2011)
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba
Complex objects ranking: a relational data mining approach. SAC (2010)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK (2010)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA (2010)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD (2010)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI (2010)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak (2010)
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM (2009)
Corrado Loglisci, Donato Malerba
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME (2009)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS (2009)
Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia
Mining Frequent Patterns of Biological Spaced Motifs. SEBD (2009)
Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinform. 10 (S-6) (2009)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba
A Relational Approach to Novelty Detection in Data Streams. SEBD (2009)
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS (2009)
Corrado Loglisci, Donato Malerba
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM (2009)
Corrado Loglisci, Donato Malerba
Discovering Triggering Events from Longitudinal Data. ICDM Workshops (2008)
Corrado Loglisci, Donato Malerba
Discovering Explanations from Longitudinal Data. ISMIS (2008)
Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo
Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. SEBD (2007)
Corrado Loglisci, Margherita Berardi
Segmentation of Evolving Complex Data and Generation of Models. ICDM Workshops (2006)
Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS (2006)
Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci
Mining Generalized Association Rules on Biomedical Literature. IEA/AIE (2005)