Corrado Loglisci

According to our database, Corrado Loglisci authored at least 76 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper).

Natale Amato, Berardina De Carolis, Francesco de Gioia, Mario Nicola Venezia, Giuseppe Palestra, Corrado Loglisci

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

2023

Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns.

Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning.

Corrado Loglisci, Ivan Diliso, Donato Malerba

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper).

Gianluca Calo', Francesco Massafra, Berardina De Carolis, Corrado Loglisci

Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

Analyzing Stress Responses Related to Usability of User Interfaces.

Berardina De Carolis, Corrado Loglisci, Monitillo Giuseppe, Katya Trufanova

Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

Coupling quantum classification and quantum distance estimation in continual learning.

Corrado Loglisci, Donato Malerba

Proceedings of the International Workshop on AI for Quantum and Quantum for AI (AIQxQIA 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), November 6, 2023

2021

Mining emotion-aware sequential rules at user-level from micro-blogs.

Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba

J. Intell. Inf. Syst., 2021

A Network Intrusion Detection System for Concept Drifting Network Traffic Data.

Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba

Proceedings of the Discovery Science - 24th International Conference, 2021

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.

Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks.

Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

jKarma: A highly-modular framework for pattern-based change detection on evolving data.

Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Knowl. Based Syst., 2020

Condensed representations of changes in dynamic graphs through emerging subgraph mining.

Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Eng. Appl. Artif. Intell., 2020

Multi-Channel Deep Feature Learning for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

IEEE Access, 2020

Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data.

Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors.

Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing.

Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba

IEEE Access, 2019

Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper).

Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Exploiting the Auto-Encoder Residual Error for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

Periodicity Detection of Emotional Communities in Microblogging.

Corrado Loglisci, Donato Malerba

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018

Mining microscopic and macroscopic changes in network data streams.

Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba

Knowl. Based Syst., 2018

Active learning via collective inference in network regression problems.

Annalisa Appice, Corrado Loglisci, Donato Malerba

Inf. Sci., 2018

Using interactions and dynamics for mining groups of moving objects from trajectory data.

Corrado Loglisci

Int. J. Geogr. Inf. Sci., 2018

User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian.

Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

An Empirical Evaluation of Sequential Pattern Mining Algorithms.

Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba

Proceedings of the Advances in Internet, 2018

Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.

Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017

Leveraging temporal autocorrelation of historical data for improving accuracy in network regression.

Corrado Loglisci, Donato Malerba

Stat. Anal. Data Min., 2017

Temporal Pattern Mining from Evolving Networks.

Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci

CoRR, 2017

2016

Collective regression for handling autocorrelation of network data in a transductive setting.

Corrado Loglisci, Annalisa Appice, Donato Malerba

J. Intell. Inf. Syst., 2016

Recent advances in mining patterns from complex data.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari

J. Intell. Inf. Syst., 2016

Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data.

Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba

Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

2015

Relational mining for discovering changes in evolving networks.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Neurocomputing, 2015

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery.

Corrado Loglisci, Donato Malerba

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Discovering Variability Patterns for Change Detection in Complex Phenotype Data.

Corrado Loglisci, Bachir Balech, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis.

Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba

Proceedings of 1st AI*IA Workshop on Intelligent Techniques At LIbraries and Archives co-located with XIV Conference of the Italian Association for Artificial Intelligence, 2015

2014

Mining complex patterns.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco

J. Intell. Inf. Syst., 2014

Network Regression in Collective Inference Setting.

Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Mining Dense Regions from Vehicular Mobility in Streaming Setting.

Corrado Loglisci, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Collective Inference for Handling Autocorrelation in Network Regression.

Corrado Loglisci, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach.

Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia

Proceedings of the Pushing the Boundaries of the Digital Libraries Field, 2014

Mining Trajectory Data for Discovering Communities of Moving Objects.

Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

2013

Time-based discovery in biomedical literature: mining temporal links.

Corrado Loglisci

Int. J. Data Anal. Tech. Strateg., 2013

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes.

Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba

BMC Bioinform., 2013

HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules.

Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba

Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

2012

Discovering Evolution Chains in Dynamic Networks.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Document Image Understanding through Iterative Transductive Learning.

Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia

Proceedings of the Digital Libraries and Archives - 8th Italian Research Conference, 2012

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents.

Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions.

Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba

Proceedings of the ECAI 2012, 2012

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents.

Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba

Proceedings of the Database and Expert Systems Applications, 2012

2011

Transductive Learning of Logical Structures from Document Images.

Michelangelo Ceci, Corrado Loglisci, Donato Malerba

Proceedings of the Learning Structure and Schemas from Documents, 2011

Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models.

Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

Discovering Temporal Bisociations for Linking Concepts over Time.

Corrado Loglisci, Michelangelo Ceci

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

MBlab: Molecular Biodiversity Laboratory.

Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

Project D.A.M.A.: Document Acquisition, Management and Archiving.

Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

A Temporal Data Mining Framework for Analyzing Longitudinal Data.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the Database and Expert Systems Applications, 2011

Discovering process models through relational disjunctive patterns mining.

Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Mining Spatial Association Rules for Composite Motif Discovery.

Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba

Proceedings of the Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 2011

2010

Discovering Temporal Patterns of Complex Events in Biosignal Data.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Complex objects ranking: a relational data mining approach.

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Relational Learning of Disjunctive Patterns in Spatial Networks.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Mining Physiological Data for Discovering Temporal Patterns on Disease Stages.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the ECAI 2010, 2010

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci

Proceedings of the Second International Conference on Advances in Databases, 2010

A Relational Approach for Discovering Frequent Patterns with Disjunctions.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

2009

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.

Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia

BMC Bioinform., 2009

Mining Frequent Patterns of Biological Spaced Motifs.

Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

A Relational Approach to Novelty Detection in Data Streams.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies.

Corrado Loglisci, Donato Malerba

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Relational Frequent Patterns Mining for Novelty Detection from Data Streams.

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines.

Corrado Loglisci, Michelangelo Ceci, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

Novelty Detection from Evolving Complex Data Streams with Time Windows.

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology.

Corrado Loglisci, Donato Malerba

Proceedings of the Artificial Intelligence in Medicine, 2009

2008

Discovering Explanations from Longitudinal Data.

Corrado Loglisci, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Discovering Triggering Events from Longitudinal Data.

Corrado Loglisci, Donato Malerba

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules.

Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

2006

Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling.

Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Segmentation of Evolving Complex Data and Generation of Models.

Corrado Loglisci, Margherita Berardi

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Mining Generalized Association Rules on Biomedical Literature.

Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci

Proceedings of the Innovations in Applied Artificial Intelligence, 2005