Mining Generalized Association Rules on Biomedical Literature. - Margherita Berardi; Michele Lapi; Pietro Leo; Corrado Loglisci (IEA/AIE, 2005)

Segmentation of Evolving Complex Data and Generation of Models. - Corrado Loglisci; Margherita Berardi (ICDM Workshops, 2006)

Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. - Margherita Berardi; Annalisa Appice; Corrado Loglisci; Pietro Leo (ISMIS, 2006)

Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. - Corrado Loglisci; Margherita Berardi; Saverio D'Alessandro; Pietro Leo (SEBD, 2007)

Discovering Triggering Events from Longitudinal Data. - Corrado Loglisci; Donato Malerba (ICDM Workshops, 2008)

Discovering Explanations from Longitudinal Data. - Corrado Loglisci; Donato Malerba (ISMIS, 2008)

A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. - Corrado Loglisci; Donato Malerba (AIME, 2009)

Novelty Detection from Evolving Complex Data Streams with Time Windows. - Michelangelo Ceci; Annalisa Appice; Corrado Loglisci; Costantina Caruso; Fabio Fumarola; Donato Malerba (ISMIS, 2009)

A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (ISMIS, 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 (MLDM, 2009)

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. - Corrado Loglisci; Donato Malerba (MLDM, 2009)

A Relational Approach to Novelty Detection in Data Streams. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Costantina Caruso; Fabio Fumarola; Michele Todaro; Donato Malerba (SEBD, 2009)

Mining Frequent Patterns of Biological Spaced Motifs. - Corrado Loglisci; Eliana Salvemini; Antonio Turi; Giorgio Grillo; Donato Malerba; Domenica D'Elia (SEBD, 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)

A Relational Approach for Discovering Frequent Patterns with Disjunctions. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (DaWak, 2010)

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci (DBKDA, 2010)

Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (ECAI, 2010)

Relational Learning of Disjunctive Patterns in Spatial Networks. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (NyNaK, 2010)

Complex objects ranking: a relational data mining approach. - Michelangelo Ceci; Annalisa Appice; Corrado Loglisci; Donato Malerba (SAC, 2010)

Discovering Temporal Patterns of Complex Events in Biosignal Data. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (SEBD, 2010)

Mining Spatial Association Rules for Composite Motif Discovery. - Michelangelo Ceci; Corrado Loglisci; Eliana Salvemini; Domenica D'Elia; Donato Malerba (Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 2011)

Discovering process models through relational disjunctive patterns mining. - Corrado Loglisci; Michelangelo Ceci; Annalisa Appice; Donato Malerba (CIDM, 2011)

A Temporal Data Mining Framework for Analyzing Longitudinal Data. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (DEXA (2), 2011)

Project D.A.M.A.: Document Acquisition, Management and Archiving. - Michelangelo Ceci; Corrado Loglisci; Stefano Ferilli; Donato Malerba (IRCDL, 2011)

MBlab: Molecular Biodiversity Laboratory. - Corrado Loglisci; Annalisa Appice; Michelangelo Ceci; Donato Malerba; Floriana Esposito (IRCDL, 2011)

Discovering Temporal Bisociations for Linking Concepts over Time. - Corrado Loglisci; Michelangelo Ceci (ECML/PKDD (2), 2011)

Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. - Corrado Loglisci; Michelangelo Ceci; Annalisa Appice; Donato Malerba (SEBD, 2011)

Transductive Learning of Logical Structures from Document Images. - Michelangelo Ceci; Corrado Loglisci; Donato Malerba (Learning Structure and Schemas from Documents, 2011)

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. - Corrado Loglisci; Dino Ienco; Mathieu Roche; Maguelonne Teisseire; Donato Malerba (DEXA (2), 2012)

Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. - Gianvito Pio; Michelangelo Ceci; Corrado Loglisci; Domenica D'Elia; Donato Malerba (ECAI, 2012)

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. - Corrado Loglisci; Dino Ienco; Mathieu Roche; Maguelonne Teisseire; Donato Malerba (ICDM Workshops, 2012)

Document Image Understanding through Iterative Transductive Learning. - Michelangelo Ceci; Corrado Loglisci; Lucrezia Macchia; Donato Malerba; Luciano Quercia (IRCDL, 2012)

Discovering Evolution Chains in Dynamic Networks. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (NFMCP, 2012)

HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Corrado Loglisci; Donato Malerba (SEBD, 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)

Time-based discovery in biomedical literature: mining temporal links. - Corrado Loglisci (Int. J. Data Anal. Tech. Strateg., 2013)

Mining Trajectory Data for Discovering Communities of Moving Objects. - Corrado Loglisci; Donato Malerba; Apostolos N. Papadopoulos (EDBT/ICDT Workshops, 2014)

Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. - Michelangelo Ceci; Corrado Loglisci; Lucrezia Macchia (IRCDL, 2014)

Collective Inference for Handling Autocorrelation in Network Regression. - Corrado Loglisci; Annalisa Appice; Donato Malerba (ISMIS, 2014)

Mining Dense Regions from Vehicular Mobility in Streaming Setting. - Corrado Loglisci; Donato Malerba (ISMIS, 2014)

Network Regression in Collective Inference Setting. - Corrado Loglisci; Annalisa Appice; Antonella Montinari; Donato Malerba (SEBD, 2014)

Mining complex patterns. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Elio Masciari; Giuseppe Manco 001 (J. Intell. Inf. Syst., 2014)

Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. - Michelangelo Ceci; Corrado Loglisci; Lynn Rudd; Donato Malerba (IT@LIA@AI*IA, 2015)

Discovering Variability Patterns for Change Detection in Complex Phenotype Data. - Corrado Loglisci; Bachir Balech; Donato Malerba (ISMIS, 2015)

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. - Corrado Loglisci; Donato Malerba (NFMCP, 2015)

Relational mining for discovering changes in evolving networks. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (Neurocomputing, 2015)

Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. - Corrado Loglisci; Michelangelo Ceci; Angelo Impedovo; Donato Malerba (NFMCP@PKDD/ECML, 2016)

Recent advances in mining patterns from complex data. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco 001; Elio Masciari (J. Intell. Inf. Syst., 2016)

Collective regression for handling autocorrelation of network data in a transductive setting. - Corrado Loglisci; Annalisa Appice; Donato Malerba (J. Intell. Inf. Syst., 2016)

Temporal Pattern Mining from Evolving Networks. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci (CoRR, 2017)

Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. - Corrado Loglisci; Donato Malerba (Stat. Anal. Data Min., 2017)

Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. - Corrado Loglisci; Giuseppina Andresini; Angelo Impedovo; Donato Malerba (AI*IA, 2018)

An Empirical Evaluation of Sequential Pattern Mining Algorithms. - Marjana Prifti Skenduli; Corrado Loglisci; Michelangelo Ceci; Marenglen Biba; Donato Malerba (EIDWT, 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 (ISMIS, 2018)

Using interactions and dynamics for mining groups of moving objects from trajectory data. - Corrado Loglisci (Int. J. Geogr. Inf. Sci., 2018)

Active learning via collective inference in network regression problems. - Annalisa Appice; Corrado Loglisci; Donato Malerba (Inf. Sci., 2018)

Mining microscopic and macroscopic changes in network data streams. - Corrado Loglisci; Michelangelo Ceci; Angelo Impedovo; Donato Malerba (Knowl. Based Syst., 2018)

Periodicity Detection of Emotional Communities in Microblogging. - Corrado Loglisci; Donato Malerba (AI*IA, 2019)

Exploiting the Auto-Encoder Residual Error for Intrusion Detection. - Giuseppina Andresini; Annalisa Appice; Nicola Di Mauro; Corrado Loglisci; Donato Malerba (EuroS&P Workshops, 2019)

Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). - Corrado Loglisci; Angelo Impedovo; Michelangelo Ceci; Donato Malerba (SEBD, 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)

Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. - Angelo Impedovo; Paolo Mignone; Corrado Loglisci; Michelangelo Ceci (DS, 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 (ISMIS, 2020)

Multi-Channel Deep Feature Learning for Intrusion Detection. - Giuseppina Andresini; Annalisa Appice; Nicola Di Mauro; Corrado Loglisci; Donato Malerba (IEEE Access, 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)

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)

Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (Complex Pattern Mining, 2020)

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. - Giuseppina Andresini; Feargus Pendlebury; Fabio Pierazzi; Corrado Loglisci; Annalisa Appice; Lorenzo Cavallaro (AISec@CCS, 2021)

A Network Intrusion Detection System for Concept Drifting Network Traffic Data. - Giuseppina Andresini; Annalisa Appice; Corrado Loglisci; Vincenzo Belvedere; Domenico Redavid; Donato Malerba (DS, 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)

Coupling quantum classification and quantum distance estimation in continual learning. - Corrado Loglisci; Donato Malerba (AIQxQIA@AI*IA, 2023)

Analyzing Stress Responses Related to Usability of User Interfaces. - Berardina De Carolis; Corrado Loglisci; Monitillo Giuseppe; Katya Trufanova (CHItaly, 2023)

Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper). - Gianluca Calo'; Francesco Massafra; Berardina De Carolis; Corrado Loglisci (EVALITA, 2023)

Engaging Older Adults at Meal-Time Through AI-Empowered Socially Assistive Robots. - Berardina De Carolis; Corrado Loglisci; Nicola Macchiarulo; Giuseppe Palestra (PKDD/ECML Workshops (4), 2023)

A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. - Corrado Loglisci; Ivan Diliso; Donato Malerba (SEBD, 2023)

Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. - Rosa Porro; Thomas Ercole; Giuseppe Pipitò; Gennaro Vessio; Corrado Loglisci (SEBD, 2023)

Parameter Prediction for Variational Quantum Algorithms through Sequence Modeling (Short Paper). - Corrado Loglisci; Vito Losavio; Berardina De Carolis; Marjana Prifti Skenduli; Donato Malerba (AIQxQIA@AI*IA, 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 (IUI Workshops, 2024)

A Social Robot as a Meal-Time Companion for Elderly People. - Berardina De Carolis; Davide Di Pierro; Stefano Ferilli; Davide Lofrese; Corrado Loglisci; Giuseppe Palestra (KaRS@RecSys, 2024)

Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. - Corrado Loglisci; Angelo Impedovo; Toon Calders; Michelangelo Ceci (J. Intell. Inf. Syst., 2024)

Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. - Corrado Loglisci; Donato Malerba; Saverio Pascazio (Quantum Mach. Intell., 2024)

XFERa: Xplainable Emotion Recognition for improving transparency and trust (short paper). - Nicola Macchiarulo; Berardina De Carolis; Corrado Loglisci; Vito Nicola Losavio; Maria Grazia Miccoli; Giuseppe Palestra; Carlos Nombre (IUI Workshops, 2025)

Quantum-Enhanced Social Robotics: The QUADRI Project. - Berardina Nadja De Carolis; Corrado Loglisci; Maria Grazia Miccoli; Giuseppe Palestra; Sergio Violante (UMAP (Adjunct Publication), 2025)

Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns. - Rosa Porro; Thomas Ercole; Giuseppe Pipitò; Gennaro Vessio; Corrado Loglisci (J. Intell. Inf. Syst., 2025)