Corrado Loglisci

97 papers A 2B 4C 11Misc 1Journal 22Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging cloud-native infrastructure for dynamic and flexible quantum-classical MLOps. Quantum Mach. Intell. Angelo Impedovo, Vito Nicola Losavio, Corrado Loglisci
2026	—	`ed.`	Proceedings of the 3rd International Workshop on AI for Quantum and Quantum for AI (AIQxQIA 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025. AIQxQIA@ECAI Marco Baioletti, Miguel Ángel González, Corrado Loglisci, Angelo Oddi, Riccardo Rasconi, Ramiro Varela
2026	J	`jnl`	QURIOSO: Quantum gate parameter predictIon through quantum-enhanced long-short term memory. Quantum Mach. Intell. Corrado Loglisci, Vito Nicola Losavio, Saverio Pascazio, Donato Malerba
2025	J	`jnl`	Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns. J. Intell. Inf. Syst. Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci
2025	—	`conf`	Quantum-Enhanced Social Robotics: The QUADRI Project. UMAP (Adjunct Publication) Berardina Nadja De Carolis, Corrado Loglisci, Maria Grazia Miccoli, Giuseppe Palestra, Sergio Violante
2025	—	`conf`	XFERa: Xplainable Emotion Recognition for improving transparency and trust (short paper). IUI Workshops Nicola Macchiarulo, Berardina De Carolis, Corrado Loglisci, Vito Nicola Losavio, Maria Grazia Miccoli, Giuseppe Palestra
2024	—	`conf`	A Social Robot as a Meal-Time Companion for Elderly People. KaRS@RecSys Berardina De Carolis, Davide Di Pierro, Stefano Ferilli, Davide Lofrese, Corrado Loglisci, Giuseppe Palestra
2024	—	`conf`	Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper). IUI Workshops Natale Amato, Berardina De Carolis, Francesco de Gioia, Mario Nicola Venezia, Giuseppe Palestra, Corrado Loglisci
2024	J	`jnl`	Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci
2024	—	`conf`	Parameter Prediction for Variational Quantum Algorithms through Sequence Modeling (Short Paper). AIQxQIA@AI*IA Corrado Loglisci, Vito Losavio, Berardina De Carolis, Marjana Prifti Skenduli, Donato Malerba
2024	J	`jnl`	Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. Quantum Mach. Intell. Corrado Loglisci, Donato Malerba, Saverio Pascazio
2023	—	`conf`	A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD Corrado Loglisci, Ivan Diliso, Donato Malerba
2023	—	`conf`	Analyzing Stress Responses Related to Usability of User Interfaces. CHItaly Berardina De Carolis, Corrado Loglisci, Monitillo Giuseppe, Katya Trufanova
2023	—	`conf`	Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA Corrado Loglisci, Donato Malerba
2023	—	`conf`	Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper). EVALITA Gianluca Calo', Francesco Massafra, Berardina De Carolis, Corrado Loglisci
2023	—	`conf`	Engaging Older Adults at Meal-Time Through AI-Empowered Socially Assistive Robots. PKDD/ECML Workshops (4) Berardina De Carolis, Corrado Loglisci, Nicola Macchiarulo, Giuseppe Palestra
2023	—	`conf`	Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. SEBD Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci
2021	B	`conf`	A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
2021	—	`conf`	INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021	J	`jnl`	Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	—	`book`	Complex Pattern Mining - New Challenges, Methods and Applications Complex Pattern Mining Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2020	J	`jnl`	Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	—	`ed.`	ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020	—	`ch.`	Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	C	`conf`	Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba
2020	J	`jnl`	Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
2020	—	`ed.`	New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, - Würzburg, Germany, September 16, 2019, Revised Selected Papers NFMCP@PKDD/ECML Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2020	B	`conf`	Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci
2020	—	`conf`	jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	J	`jnl`	jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2019	—	`conf`	Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
2019	—	`conf`	Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba
2019	—	`conf`	Periodicity Detection of Emotional Communities in Microblogging. AI*IA Corrado Loglisci, Donato Malerba
2019	J	`jnl`	Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba
2018	J	`jnl`	Active learning via collective inference in network regression problems. Inf. Sci. Annalisa Appice, Corrado Loglisci, Donato Malerba
2018	—	`conf`	An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba
2018	—	`conf`	Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba
2018	J	`jnl`	Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
2018	—	`ed.`	New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers NFMCP@PKDD/ECML Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2018	C	`conf`	User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2018	J	`jnl`	Using interactions and dynamics for mining groups of moving objects from trajectory data. Int. J. Geogr. Inf. Sci. Corrado Loglisci
2017	J	`jnl`	Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. Corrado Loglisci, Donato Malerba
2017	—	`ed.`	New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers NFMCP@ECML/PKDD Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras
2017	J	`jnl`	Temporal Pattern Mining from Evolving Networks. CoRR Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci
2016	J	`jnl`	Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. Corrado Loglisci, Annalisa Appice, Donato Malerba
2016	—	`conf`	Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
2016	—	`ed.`	New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers NFMCP Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2016	J	`jnl`	Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari
2015	—	`conf`	Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba
2015	C	`conf`	Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS Corrado Loglisci, Bachir Balech, Donato Malerba
2015	—	`conf`	Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP Corrado Loglisci, Donato Malerba
2015	—	`ed.`	New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2015	J	`jnl`	Relational mining for discovering changes in evolving networks. Neurocomputing Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2014	C	`conf`	Collective Inference for Handling Autocorrelation in Network Regression. ISMIS Corrado Loglisci, Annalisa Appice, Donato Malerba
2014	C	`conf`	Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS Corrado Loglisci, Donato Malerba
2014	—	`conf`	Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos
2014	J	`jnl`	Mining complex patterns. J. Intell. Inf. Syst. Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco
2014	—	`conf`	Network Regression in Collective Inference Setting. SEBD Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba
2014	—	`ed.`	New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2014	—	`conf`	Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia
2013	J	`jnl`	A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
2013	—	`conf`	HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
2013	—	`ed.`	New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2013	J	`jnl`	Time-based discovery in biomedical literature: mining temporal links. Int. J. Data Anal. Tech. Strateg. Corrado Loglisci
2012	—	`conf`	An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2) Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba
2012	—	`conf`	Discovering Evolution Chains in Dynamic Networks. NFMCP Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Document Image Understanding through Iterative Transductive Learning. IRCDL Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia
2012	A	`conf`	Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba
2012	—	`conf`	Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba
2011	—	`conf`	A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2011	—	`conf`	Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2) Corrado Loglisci, Michelangelo Ceci
2011	C	`conf`	Discovering process models through relational disjunctive patterns mining. CIDM Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
2011	—	`conf`	MBlab: Molecular Biodiversity Laboratory. IRCDL Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito
2011	—	`ch.`	Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba
2011	—	`conf`	Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba
2011	—	`conf`	Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
2011	—	`ch.`	Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents Michelangelo Ceci, Corrado Loglisci, Donato Malerba
2010	B	`conf`	A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	Misc	`conf`	Complex objects ranking: a relational data mining approach. SAC Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba
2010	—	`conf`	Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA Annalisa Appice, Michelangelo Ceci, Corrado Loglisci
2010	—	`conf`	Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	A	`conf`	Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2009	C	`conf`	A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2009	—	`conf`	A Relational Approach to Novelty Detection in Data Streams. SEBD Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba
2009	B	`conf`	A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME Corrado Loglisci, Donato Malerba
2009	J	`jnl`	Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinform. Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia
2009	—	`conf`	Mining Frequent Patterns of Biological Spaced Motifs. SEBD Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia
2009	—	`conf`	Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM Corrado Loglisci, Donato Malerba
2009	C	`conf`	Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba
2009	—	`conf`	Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba
2008	C	`conf`	Discovering Explanations from Longitudinal Data. ISMIS Corrado Loglisci, Donato Malerba
2008	—	`conf`	Discovering Triggering Events from Longitudinal Data. ICDM Workshops Corrado Loglisci, Donato Malerba
2007	—	`conf`	Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. SEBD Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo
2006	—	`conf`	Segmentation of Evolving Complex Data and Generation of Models. ICDM Workshops Corrado Loglisci, Margherita Berardi
2006	C	`conf`	Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo
2005	C	`conf`	Mining Generalized Association Rules on Biomedical Literature. IEA/AIE Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci