Antonella Guzzo

Orcid: 0000-0003-3159-0536

Affiliations:
  • University of Calabria, Italy


According to our database1, Antonella Guzzo authored at least 84 papers between 2002 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Model aggregation techniques in federated learning: A comprehensive survey.
Future Gener. Comput. Syst., January, 2024

2023
Data and model aggregation for radiomics applications: Emerging trend and open challenges.
Inf. Fusion, December, 2023

Causal knowledge fusion for 3D cross-modality cardiac image segmentation.
Inf. Fusion, November, 2023

Transfer learning-based quantized deep learning models for nail melanoma classification.
Neural Comput. Appl., October, 2023

Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring With Smartwatch Sensors.
IEEE Internet Things J., October, 2023

DKSM: A Decentralized Kerberos Secure Service-Management Protocol for Internet of Things.
Internet Things, October, 2023

Survival prediction of heart failure patients using motion-based analysis method.
Comput. Methods Programs Biomed., June, 2023

A Novel Homomorphic Encryption and Consortium Blockchain-Based Hybrid Deep Learning Model for Industrial Internet of Medical Things.
IEEE Trans. Netw. Sci. Eng., 2023

Identification and prediction of attacks to industrial control systems using temporal point processes.
J. Ambient Intell. Humaniz. Comput., 2023

SigIL: A Signature-Based Approach of Malware Detection on Intermediate Language.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Energy Aware Federated Learning with Application of Activity Recognition.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Exploiting Bytecode Analysis for Reentrancy Vulnerability Detection in Ethereum Smart Contracts.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Federated Learning for Medical Images Analysis: A Meta Survey.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Automatic Medical Report Generation via Latent Space Conditioning and Transformers.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Explaining Binary Obfuscation.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022
Process mining applications in the healthcare domain: A comprehensive review.
WIREs Data Mining Knowl. Discov., 2022

Enabling Faster Security Assessment of Re-hosted Firmware.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Neural Network based Temporal Point Processes for Attack Detection in Industrial Control Systems.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2022

2021
A multi-perspective approach for the analysis of complex business processes behavior.
Expert Syst. Appl., 2021

Predicting activities of daily living via temporal point processes: Approaches and experimental results.
Comput. Electr. Eng., 2021

Special Issue on Process Mining and Emerging Applications.
Algorithms, 2021

Activity Daily Living prediction with Marked Temporal Point Processes (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

t-SNE and PCA in Ensemble Learning based Human Activity Recognition with Smartwatch<sup>*</sup>.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

2020
Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools.
IEEE Trans. Knowl. Data Eng., 2020

Modeling and efficiently detecting security-critical sequences of actions.
Future Gener. Comput. Syst., 2020

A Simulation-based and Data-driven Framework for Enabling the Analysis and Design of Business Processes based on Blockchain and Smart Contracts Solutions.
Proceedings of the 3rd Distributed Ledger Technology Workshop Co-located with ITASEC 2020, 2020

A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Exploiting Marked Temporal Point Processes for Predicting Activities of Daily Living.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

FD-VAE: A Feature Driven VAE Architecture for Flexible Synthetic Data Generation.
Proceedings of the Database and Expert Systems Applications, 2020

2019
Data Storage and Representation.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

2018
Coalition formation in social environments with logic-based agents.
AI Commun., 2018

Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Malevolent Activity Detection with Hypergraph-Based Models.
IEEE Trans. Knowl. Data Eng., 2017

Constrained coalition formation on valuation structures: Formal framework, applications, and islands of tractability.
Artif. Intell., 2017

2016
Coalition Formation with Logic-Based Agents.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2016

2015
Process Discovery under Precedence Constraints.
ACM Trans. Knowl. Discov. Data, 2015

2014
Big Data in Critical Infrastructures Security Monitoring: Challenges and Opportunities.
CoRR, 2014

Hypergraph-Based Attack Models for Network Intrusion Detection.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

2013
Methods and techniques for discovering taxonomies of behavioral process models.
WIREs Data Mining Knowl. Discov., 2013

Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs.
ACM Trans. Knowl. Discov. Data, 2013

Reasoning about Precedence Constraints for Process Mining Applications.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Intrusion Detection with Hypergraph-Based Attack Models.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2013

2012
Count Constraints for Inverse OLAP and Aggregate Data Exchange.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange.
Proceedings of the Foundations of Information and Knowledge Systems, 2012

Process Discovery via Precedence Constraints.
Proceedings of the ECAI 2012, 2012

2011
Simulations on workflow management systems: A framework based on event choice datalog.
Intelligenza Artificiale, 2011

Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction.
Data Knowl. Eng., 2011

A Decomposition Technique for the Inverse Frequent Itemset Mining Problem.
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011


2010
Coclustering Multiple Heterogeneous Domains: Linear Combinations and Agreements.
IEEE Trans. Knowl. Data Eng., 2010

Scalable parallel co-clustering over multiple heterogeneous data types.
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

2009
Discovering expressive process models from noised log data.
Proceedings of the International Database Engineering and Applications Symposium (IDEAS 2009), 2009

An Effective Approach to Inverse Frequent Set Mining.
Proceedings of the ICDM 2009, 2009

2008
Mining taxonomies of process models.
Data Knowl. Eng., 2008

Outlier Detection Techniques for Process Mining Applications.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes.
Proceedings of the Enterprise Information Systems, 10th International Conference, 2008

Discovering Multi-Perspective Process Models.
Proceedings of the ICEIS 2008, 2008

2007
An Information-Theoretic Framework for Process Structure and Data Mining.
Int. J. Data Warehous. Min., 2007

Mining unconnected patterns in workflows.
Inf. Syst., 2007

An Information-Theoretic Framework for High-Order Co-Clustering of Heterogeneous Objects.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Process Mining Based on Clustering: A Quest for Precision.
Proceedings of the Business Process Management Workshops, 2007

2006
Discovering Expressive Process Models by Clustering Log Traces.
IEEE Trans. Knowl. Data Eng., 2006

An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects.
Proceedings of the Machine Learning: ECML 2006, 2006

An Information-Theoretic Framework for Process Structure and Data Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005
Languages, algorithms and methods for modelling, reasoning on, and mining workflows.
PhD thesis, 2005

Mining and Reasoning on Workflows.
IEEE Trans. Knowl. Data Eng., 2005

Semi-Inflationary DATALOG: A declarative database language with procedural features.
AI Commun., 2005

Mining Correlations in Workflows Executions.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

A Data Mining-based Framework for GridWorkflow Management.
Proceedings of the Fifth International Conference on Quality Software (QSIC 2005), 2005

Mining Hierarchies of Models: From Abstract Views to Concrete Specifications.
Proceedings of the Business Process Management, 3rd International Conference, 2005

2004
Ontology-based Design of Bioinformatics Workflows on PROTEUS.
J. Digit. Inf. Manag., 2004

On the Mining of Complex Schemas.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

Modelling a Protein Structure Comparison Application on the Grid Using PROTEUS.
Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004

Event choice datalog: a logic programming language for reasoning in multiple dimensions.
Proceedings of the 6th International ACM SIGPLAN Conference on Principles and Practice of Declarative Programming, 2004

Mining Expressive Process Models by Clustering Workflow Traces.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Integrating Ontology and Workflow in PROTEUS, a Grid-Based Problem Solving Environment for Bioinformatics.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

An Ontology-Driven Process Modeling Framework.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

Mining Constrained Graphs: The Case of Workflow Systems.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Mining Frequent Instances on Workflows.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

A Logic-Based Formalism to Model and Analyze Workflow Executions.
Proceedings of the 15th Conference on Advanced Information Systems Engineering (CAiSE '03), 2003

A Logic Programming Approach for Planning Workflows Evolutions.
Proceedings of the 2003 Joint Conference on Declarative Programming, 2003

Reasoning on Workflow Executions.
Proceedings of the Advances in Databases and Information Systems, 2003

2002
Modelling the Future with Event Choice DATALOG.
Proceedings of the AGP 2002: Proceedings of the Joint Conference on Declarative Programming, 2002


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