Isabel Praça

Orcid: 0000-0002-2519-9859

According to our database1, Isabel Praça authored at least 123 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Anomaly detection analysis based on correlation of features in graph neural network.
Multim. Tools Appl., March, 2024

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection.
CoRR, 2024

P2DS: A Holistic Approach to Psychiatric Disease Detection in Community Pharmacies.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
SoK: Realistic adversarial attacks and defenses for intelligent network intrusion detection.
Comput. Secur., November, 2023

Towards adversarial realism and robust learning for IoT intrusion detection and classification.
Ann. des Télécommunications, August, 2023

Constrained Adversarial Learning and its applicability to Automated Software Testing: a systematic review.
CoRR, 2023

Privacy-Preserving NN for IDS: A Study on the Impact of TFHE Restrictions.
Proceedings of the Security and Trust Management - 19th International Workshop, 2023

On the Implementation of a Secure and Energetically Efficient NOC for Mobile Networks.
Proceedings of the International Conference on Smart Applications, 2023

Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

TestLab: An Intelligent Automated Software Testing Framework.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Machine learning for rectal cancer prediction based on metabolic changes on amino acids.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
Machine Reading at Scale: A Search Engine for Scientific and Academic Research.
Syst., 2022

Holistic Security and Safety for Factories of the Future.
Sensors, 2022

SMS-I: Intelligent Security for Cyber-Physical Systems.
Inf., 2022

Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection.
Future Internet, 2022

A Low-Cost Multi-Agent System for Physical Security in Smart Buildings.
CoRR, 2022

Intelligent Cyberattack Detection on SAFECARE Virtual Hospital.
Proceedings of the Information Systems and Technologies, 2022

Multiple Domain Security Awareness for Factories of the Future.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

Herb-Drug Interactions: A Holistic Decision Support System in Healthcare.
Proceedings of the IEEE International Conference on E-health Networking, 2022

A Multi-policy Framework for Deep Learning-based Fake News Detection.
Proceedings of the Distributed Computing and Artificial Intelligence, 2022

Deep Learning for Short-Term Instant Energy Consumption Forecasting in the Manufacturing Sector.
Proceedings of the Distributed Computing and Artificial Intelligence, 2022

Digital Twins for Enhanced Resilience: Aerospace Manufacturing Scenario.
Proceedings of the Advanced Information Systems Engineering Workshops, 2022

2021
Influence of Features on Accuracy of Anomaly Detection for an Energy Trading System.
Sensors, 2021

Ensemble learning for electricity consumption forecasting in office buildings.
Neurocomputing, 2021

A Multi-Agent System for Autonomous Mobile Robot Coordination.
CoRR, 2021

Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities.
Artif. Intell. Rev., 2021

On the Usage of Pre-Trained Speech Recognition Deep Layers to Detect Emotions.
IEEE Access, 2021

A Tool to Support the Investigation and Visualization of Cyber and/or Physical Incidents.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space.
Proceedings of the 14th International Conference on Security of Information and Networks, 2021

Intelligence as a Service: A Tool for Energy Forecasting and Security Awareness.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

A Scalable, Real-Time Packet Capturing Solution.
Proceedings of the Optimization, Learning Algorithms and Applications, 2021

A Hybrid Approach for an Interpretable and Explainable Intrusion Detection System.
Proceedings of the Intelligent Systems Design and Applications, 2021

A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection.
Proceedings of the Foundations and Practice of Security - 14th International Symposium, 2021

A Search Engine for Scientific Publications: A Cybersecurity Case Study.
Proceedings of the Distributed Computing and Artificial Intelligence, 2021

Machine Learning for Network-Based Intrusion Detection Systems: An Analysis of the CIDDS-001 Dataset.
Proceedings of the Distributed Computing and Artificial Intelligence, 2021

2020
Performance evaluation of unsupervised techniques in cyber-attack anomaly detection.
J. Ambient Intell. Humaniz. Comput., 2020

Trust Model for a Multi-agent Based Simulation of Local Energy Markets.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

A Two Tier Architecture for Local Energy Market Simulation and Control.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

FullExpression Using Transfer Learning in the Classification of Human Emotions.
Proceedings of the Ambient Intelligence - Software and Applications, 2020

Cyber Threat Monitoring Systems - Comparing Attack Detection Performance of Ensemble Algorithms.
Proceedings of the Cyber-Physical Security for Critical Infrastructures Protection, 2020

Impact Propagation in Airport Systems.
Proceedings of the Cyber-Physical Security for Critical Infrastructures Protection, 2020

2019
Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry.
Int. J. Inf. Manag., 2019

Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies.
Proceedings of the Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, 2019

Selection and Performance Analysis of CICIDS2017 Features Importance.
Proceedings of the Foundations and Practice of Security - 12th International Symposium, 2019

Energy Consumption Forecasting Using Ensemble Learning Algorithms.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019

2018
A context-based building security alarm through power and sensors analysis.
Energy Inform., 2018

Iberian electricity market ontology to enable smart grid market simulation.
Energy Inform., 2018

Defining a Collaborative Platform to Report Machine State.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Predictive Maintenance in the Metallurgical Industry: Data Analysis and Feature Selection.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

CyberFactory#1 - Securing the industry 4.0 with cyber-ranges and digital twins.
Proceedings of the 14th IEEE International Workshop on Factory Communication Systems, 2018

Day-ahead forecasting approach for energy consumption of an office building using support vector machines.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A MAS Architecture for a Project Scheduling Problem with Operation Dependant Setup Times.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Clustering-based negotiation profiles definition for local energy transactions.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Comparative Results with Unsupervised Techniques in Cyber Attack Novelty Detection.
Proceedings of the Ambient Intelligence, 2018

Day ahead electricity consumption forecasting with MOGUL learning model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Big Data Platform for Industrial Enterprise Asset Value Enablers.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

Rule-Based Model for Smart Building Supervision and Management.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017
Bilateral contract prices estimation using a Q-leaming based approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Tools Control Center to Enable the Joint Simulation of Multi-agent Systems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Ambient Intelligence - Software and Applications, 2017

An Architecture for Proactive Maintenance in the Machinery Industry.
Proceedings of the Ambient Intelligence - Software and Applications, 2017

Ontology-based model for trusted critical site supervision in FUSE-IT.
Proceedings of the 20th Conference on Innovations in Clouds, Internet and Networks, 2017

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM.
Proceedings of the Progress in Artificial Intelligence, 2017

Smart Grids Data Management: A Case for Cassandra.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016
Adaptive Portfolio Optimization for Multiple Electricity Markets Participation.
IEEE Trans. Neural Networks Learn. Syst., 2016

Support Vector Machines for decision support in electricity markets' strategic bidding.
Neurocomputing, 2016

Shared Intelligence for smart grids management.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Electricity Markets Ontology to Support MASCEM's Simulations.
Proceedings of the Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 2016

Demonstration of ALBidS: Adaptive Learning Strategic Bidding System.
Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

Network Operator Agent: Endowing MASCEM Simulator with Technical Validation.
Proceedings of the Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 2016

FUSE-IT: Enhancing critical site supervision with cross-domain key performance indicators.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016

Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016

Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

2015
Coalition of distributed generation units to Virtual Power Players - a game theory approach.
Integr. Comput. Aided Eng., 2015

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets.
Decis. Support Syst., 2015

Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

Agent-Based Smart Grid Market Simulation with Connection to Real Infrastructures.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015

Pan-European Electricity Market Simulation Considering the European Power Network Capacities.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

Solar Intensity Characterization Using Data-Mining to Support Solar Forecasting.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2014
Adaptive learning in agents behaviour: A framework for electricity markets simulation.
Integr. Comput. Aided Eng., 2014

Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio.
Proceedings of the Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines.
Proceedings of the Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator.
Proceedings of the Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014

Realistic Multi-agent Simulation of Competitive Electricity Markets.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Multi-agent Simulation of Bilateral Contracting in Competitive Electricity Markets.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014

Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014

2013
Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis.
Integr. Comput. Aided Eng., 2013

Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets.
Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2013

Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013

Adapting meeting tools to agent decision.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Metalearner Based on Dynamic Neural Network for Strategic Bidding in Electricity Markets.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

Upper Ontology for Multi-Agent Energy Systems' Applications.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

2012
Multilevel Negotiation in Smart Grids for VPP Management of Distributed Resources.
IEEE Intell. Syst., 2012

Adaptive Learning in Multiagent Systems: A Forecasting Methodology Based on Error Analysis.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012

Metalearning in ALBidS: A Strategic Bidding System for Electricity Markets.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012

Multi-agent Simulation of Continental, Regional, and Micro Electricity Markets.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

Adaptive Tool for Automatic Data Collection of Real Electricity Markets.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

2011
MASCEM: Electricity Markets Simulation with Strategic Agents.
IEEE Intell. Syst., 2011

Bid Definition Method for Electricity Markets Based on an Adaptive Multiagent System.
Proceedings of the Advances on Practical Applications of Agents and Multiagent Systems, 2011

Multiagent system for adaptive strategy formulation in electricity markets.
Proceedings of the 2011 IEEE Symposium on Intelligent Agent, 2011

Strategic Bidding Methodology for Electricity Markets Using Adaptive Learning.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2008
Agent-based simulation of electronic marketplaces with decision support.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

A multi-agent system for the support of producer coalition formation in electricity markets.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007
Virtual Power Producers Integration Into Mascem.
Proceedings of the Establishing The Foundation of Collaborative Networks, 2007

Learning Business Strategies for Competitive Electronic Marketplaces.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006
Decision Making in an Agent-based Marketplace.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2003
Mascem: A Multiagent System That Simulates Competitive Electricity Markets.
IEEE Intell. Syst., 2003

A New Agent-based Framework for the Simulation of Electricity Markets.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

An Agent-Based Simulator for Electricity Markets: Seller, Buyer, and Trader Players.
Proceedings of the Holonic and Multi-Agent Systems for Manufacturing, 2003


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