Corrado Loglisci

Orcid: 0000-0001-5790-8368

According to our database1, Corrado Loglisci authored at least 79 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning.
Quantum Mach. Intell., December, 2024

Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks.
J. Intell. Inf. Syst., October, 2024

A Social Robot as a Meal-Time Companion for Elderly People.
Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper).
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.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper).
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.
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

Coupling quantum classification and quantum distance estimation in continual learning.
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.
J. Intell. Inf. Syst., 2021

A Network Intrusion Detection System for Concept Drifting Network Traffic Data.
Proceedings of the Discovery Science - 24th International Conference, 2021

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.
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.
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.
Knowl. Based Syst., 2020

Condensed representations of changes in dynamic graphs through emerging subgraph mining.
Eng. Appl. Artif. Intell., 2020

Multi-Channel Deep Feature Learning for Intrusion Detection.
IEEE Access, 2020

Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing.
IEEE Access, 2019

Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper).
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Exploiting the Auto-Encoder Residual Error for Intrusion Detection.
Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

Periodicity Detection of Emotional Communities in Microblogging.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
Mining microscopic and macroscopic changes in network data streams.
Knowl. Based Syst., 2018

Active learning via collective inference in network regression problems.
Inf. Sci., 2018

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

User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

An Empirical Evaluation of Sequential Pattern Mining Algorithms.
Proceedings of the Advances in Internet, 2018

Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression.
Stat. Anal. Data Min., 2017

Temporal Pattern Mining from Evolving Networks.
CoRR, 2017

2016
Collective regression for handling autocorrelation of network data in a transductive setting.
J. Intell. Inf. Syst., 2016

Recent advances in mining patterns from complex data.
J. Intell. Inf. Syst., 2016

Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

2015
Relational mining for discovering changes in evolving networks.
Neurocomputing, 2015

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Discovering Variability Patterns for Change Detection in Complex Phenotype Data.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis.
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.
J. Intell. Inf. Syst., 2014

Network Regression in Collective Inference Setting.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Mining Dense Regions from Vehicular Mobility in Streaming Setting.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Collective Inference for Handling Autocorrelation in Network Regression.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach.
Proceedings of the Pushing the Boundaries of the Digital Libraries Field, 2014

Mining Trajectory Data for Discovering Communities of Moving Objects.
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.
Int. J. Data Anal. Tech. Strateg., 2013

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes.
BMC Bioinform., 2013

HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

2012
Discovering Evolution Chains in Dynamic Networks.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Document Image Understanding through Iterative Transductive Learning.
Proceedings of the Digital Libraries and Archives - 8th Italian Research Conference, 2012

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions.
Proceedings of the ECAI 2012, 2012

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents.
Proceedings of the Database and Expert Systems Applications, 2012

2011
Transductive Learning of Logical Structures from Document Images.
Proceedings of the Learning Structure and Schemas from Documents, 2011

Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models.
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

Discovering Temporal Bisociations for Linking Concepts over Time.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

MBlab: Molecular Biodiversity Laboratory.
Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

Project D.A.M.A.: Document Acquisition, Management and Archiving.
Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

A Temporal Data Mining Framework for Analyzing Longitudinal Data.
Proceedings of the Database and Expert Systems Applications, 2011

Discovering process models through relational disjunctive patterns mining.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Mining Spatial Association Rules for Composite Motif Discovery.
Proceedings of the Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 2011

2010
Discovering Temporal Patterns of Complex Events in Biosignal Data.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Complex objects ranking: a relational data mining approach.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Relational Learning of Disjunctive Patterns in Spatial Networks.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Mining Physiological Data for Discovering Temporal Patterns on Disease Stages.
Proceedings of the ECAI 2010, 2010

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature.
Proceedings of the Second International Conference on Advances in Databases, 2010

A Relational Approach for Discovering Frequent Patterns with Disjunctions.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

2009
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
BMC Bioinform., 2009

Mining Frequent Patterns of Biological Spaced Motifs.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

A Relational Approach to Novelty Detection in Data Streams.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Relational Frequent Patterns Mining for Novelty Detection from Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

Novelty Detection from Evolving Complex Data Streams with Time Windows.
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.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Discovering Explanations from Longitudinal Data.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Discovering Triggering Events from Longitudinal Data.
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.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

2006
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Segmentation of Evolving Complex Data and Generation of Models.
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.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005


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