Mário Antunes

Orcid: 0000-0002-6504-9441

Affiliations:
  • University of Aveiro, Portugal


According to our database1, Mário Antunes authored at least 62 papers between 2013 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Smart Starts: Accelerating Convergence through Uncommon Region Exploration.
CoRR, May, 2025

Kneeliverse: A universal knee-detection library for performance curves.
SoftwareX, 2025

Explainable AI for industrial fault diagnosis: A systematic review.
J. Ind. Inf. Integr., 2025

Leveraging decentralized communication for privacy-preserving federated learning in 6G Networks.
Comput. Commun., 2025

Efficient training: Federated learning cost analysis.
Big Data Res., 2025

A Review of the Current Usage of AI/ML for Radio Access Network (RAN).
IEEE Access, 2025

Impact of Resource Heterogeneity on MLOps Stages: A Computational Efficiency Study.
Proceedings of the 20th International Conference on Software Technologies, 2025

Towards Cost Estimation of DRL for Task Scheduling and Placement.
Proceedings of the 21st IEEE International Conference on Smart Technologies, 2025

Understanding the Influence of Data Characteristics on Explainable AI.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2025

2024
Comparison of Semantic Similarity Models on Constrained Scenarios.
Inf. Syst. Frontiers, August, 2024

Accelerating multi-tier storage cache simulations using knee detection.
Perform. Evaluation, 2024

Machine learning-driven fault identification and classification: a two-step approach for industrial applications.
Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches.
Proceedings of the 9th International Conference on Internet of Things, 2024

From Black Box to Transparency: Consistency and Cost within XAI.
Proceedings of the IEEE Globecom Workshops 2024, 2024

Shallow vs. Deep Learning: Prioritizing Efficiency in Next Generation Networks.
Proceedings of the 11th International Conference on Future Internet of Things and Cloud, 2024

Improving Automotive Aftermarket Forecasting with MLOps.
Proceedings of the 11th International Conference on Future Internet of Things and Cloud, 2024

Rethinking Security: The Resilience of Shallow ML Models (Extended Abstract).
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023
Home Comfort Dataset: Acquired from SGH.
Data, March, 2023

Industrial Internet of Things over 5G: A Practical Implementation.
Sensors, 2023

Eco-Friendly Intrusion Detection: Evaluating Energy Costs of Learning.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection.
Proceedings of the 31st International Symposium on Modeling, 2023

Intelligent Assistant for Smart Factory Power Management.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Real-World Indoor Location Assessment with Unmodified RFID Antennas.
Proceedings of the Pattern Recognition Applications and Methods, 2023

Towards Improved Indoor Location with Unmodified RFID Systems.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

The learning costs of Federated Learning in constrained scenarios.
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023

Exploring the Intricacies of Neural Network Optimization.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Improve Contextual IoT service discovery with semantic models.
Proceedings of the 9th International Conference on Future Internet of Things and Cloud, 2022

Design and Evaluation of a Low-Latency CPC Environment for Virtual IEDs.
Proceedings of the 11th IEEE International Conference on Cloud Networking, 2022

2021
Building an IoT Platform Based on Service Containerisation.
Sensors, 2021

Misalignment problem in matrix decomposition with missing values.
Mach. Learn., 2021

Using ML to increase the efficiency of solar energy usage in HVAC.
Proceedings of the 2nd International Conference on Societal Automation, 2021

Root Cause Analysis in 5G/6G Networks.
Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

Semantic similarity on constraints datasets: A latent approach.
Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

2020
Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance.
Inf., 2020

Effect of the initial configuration of weights on the training and function of artificial neural networks.
CoRR, 2020

Assessing sheep behavior through low-power microcontrollers in smart agriculture scenarios.
Comput. Electron. Agric., 2020

Applying Reinforcement Learning in Context Limited Environments.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

2019
CLASSY: A Conversational Aware Suggestion System.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Stream Generation: Markov Chains vs GANs.
Proceedings of the 4th International Conference on Internet of Things, 2019

SCoTv2: Large Scale Data Acquisition, Processing, and Visualization Platform.
Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

AL and S Methods: Two Extensions for L-Method.
Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

Predictive Maintenance System for Efficiency Improvement of Heating Equipment.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

2018
Knowledge extraction from semi-structured sources
PhD thesis, 2018

Modelling Patterns in Continuous Streams of Data.
Open J. Big Data, 2018

Towards IoT data classification through semantic features.
Future Gener. Comput. Syst., 2018

The Impact of Clustering for Learning Semantic Categories.
Proceedings of the 3rd International Conference on Internet of Things, 2018

Knee/Elbow Point Estimation through Thresholding.
Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 2018

Knee/Elbow Estimation Based on First Derivative Threshold.
Proceedings of the Fourth IEEE International Conference on Big Data Computing Service and Applications, 2018

2017
Extracting Knowledge from Stream Behavioural Patterns.
Proceedings of the 2nd International Conference on Internet of Things, 2017

Improve IoT/M2M Data Organization Based on Stream Patterns.
Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017

2016
Scalable semantic aware context storage.
Future Gener. Comput. Syst., 2016

On the application of contextual IoT service discovery in Information Centric Networks.
Comput. Commun., 2016

Learning Semantic Features from Web Services.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud, 2016

2015
Semantic Features for Context Organization.
Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

2014
A Context-Aware Framework for Collaborative Activities in Pervasive Communities.
Int. J. Distributed Syst. Technol., 2014

Unified Platform for M2M Telco Providers.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services, 2014

Context storage for M2M scenarios.
Proceedings of the IEEE International Conference on Communications, 2014

Semantic-Based Publish/Subscribe for M2M.
Proceedings of the 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2014

2013
Social Awareness in Pervasive Communities for Collaborative Work.
Proceedings of the Workshop Proceedings of the 9th International Conference on Intelligent Environments, 2013

Unsupervised Internet-Based Category Learning for Object Recognition.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Contour-Based Object Extraction and Clutter Removal for Semantic Vision.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Aerial Ball Perception Based on the Use of a Single Perspective Camera.
Proceedings of the Progress in Artificial Intelligence, 2013


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