Aerial Ball Perception Based on the Use of a Single Perspective Camera. - João M. Silva; Mário Antunes 001; Nuno Lau; António J. R. Neves; Luís Seabra Lopes (EPIA, 2013)

Contour-Based Object Extraction and Clutter Removal for Semantic Vision. - Mário Antunes 001; Luís Seabra Lopes (ICIAR, 2013)

Unsupervised Internet-Based Category Learning for Object Recognition. - Mário Antunes 001; Luís Seabra Lopes (ICIAR, 2013)

Social Awareness in Pervasive Communities for Collaborative Work. - Christopher Lima; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Intelligent Environments (Workshops), 2013)

Semantic-Based Publish/Subscribe for M2M. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (CyberC, 2014)

Scalable Semantic Aware Context Storage. - Mário Luis Pinto Antunes; Diogo Nuno Pereira Gomes; Rui Luis Andrade Aguiar (FiCloud, 2014)

Context storage for M2M scenarios. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (ICC, 2014)

Unified Platform for M2M Telco Providers. - Mário Antunes 001; João Paulo Barraca; Diogo Gomes 001; Paulo Oliveira; Rui L. Aguiar (UCAmI, 2014)

A Context-Aware Framework for Collaborative Activities in Pervasive Communities. - Christopher Lima; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar; Telma Mota (Int. J. Distributed Syst. Technol., 2014)

Semantic Features for Context Organization. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2015)

Learning Semantic Features from Web Services. - Mário Antunes 001; Diogo Nuno Pereira Gomes; Rui L. Aguiar (FiCloud, 2016)

On the application of contextual IoT service discovery in Information Centric Networks. - José Quevedo; Mário Antunes 001; Daniel Corujo; Diogo Gomes 001; Rui L. Aguiar (Comput. Commun., 2016)

Improve IoT/M2M Data Organization Based on Stream Patterns. - Mário Antunes 001; Ricardo Jesus; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2017)

Extracting Knowledge from Stream Behavioural Patterns. - Ricardo Jesus; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (IoTBDS, 2017)

Knee/Elbow Estimation Based on First Derivative Threshold. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (BigDataService, 2018)

Knee/Elbow Point Estimation through Thresholding. - Mário Antunes 001; Joana Ribeiro; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2018)

The Impact of Clustering for Learning Semantic Categories. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (IoTBDS, 2018)

Towards IoT data classification through semantic features. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Future Gener. Comput. Syst., 2018)

Modelling Patterns in Continuous Streams of Data. - Ricardo Jesus; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Open J. Big Data, 2018)

Knowledge extraction from semi-structured sources - Mário Luis Pinto Antunes (2018)

Predictive Maintenance System for Efficiency Improvement of Heating Equipment. - Ana Rita Santiago; Mário Antunes 001; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (BigDataService, 2019)

AL and S Methods: Two Extensions for L-Method. - Mário Antunes 001; Henrique Aguiar; Diogo Gomes 001 (FiCloud, 2019)

SCoTv2: Large Scale Data Acquisition, Processing, and Visualization Platform. - Ana Rita Santiago; Mário Antunes 001; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2019)

Stream Generation: Markov Chains vs GANs. - Ricardo Jesus; Mário Antunes 001; Petia Georgieva; Diogo Gomes 001; Rui L. Aguiar (IoTBDS, 2019)

CLASSY: A Conversational Aware Suggestion System. - Diogo Ferreira; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (UCAmI, 2019)

Applying Reinforcement Learning in Context Limited Environments. - Diogo Ferreira; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (ICHMS, 2020)

Assessing sheep behavior through low-power microcontrollers in smart agriculture scenarios. - Luís Nóbrega; Pedro Gonçalves; Mário Antunes 001; Daniel Corujo (Comput. Electron. Agric., 2020)

Effect of the initial configuration of weights on the training and function of artificial neural networks. - Ricardo J. Jesus; Mário Luis Pinto Antunes; Rui Américo Ferreira da Costa; Sergey N. Dorogovtsev; José Fernando Ferreira Mendes; Rui L. Aguiar (CoRR, 2020)

Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance. - Sofia Fernandes 001; Mário Antunes 001; Ana Rita Santiago; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (Inf., 2020)

Misalignment problem in matrix decomposition with missing values. - Sofia Fernandes 001; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (DSAA, 2021)

Semantic similarity on constraints datasets: A latent approach. - Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2021)

Root Cause Analysis in 5G/6G Networks. - Dinis Canastro; Ricardo Rocha; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2021)

Using ML to increase the efficiency of solar energy usage in HVAC. - Emre Kilinç; Sofia Fernandes 001; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (SA, 2021)

Building an IoT Platform Based on Service Containerisation. - Mário Antunes 001; Ana Rita Santiago; Sérgio Manso; Diogo Domingues Regateiro; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (Sensors, 2021)

Design and Evaluation of a Low-Latency CPC Environment for Virtual IEDs. - Ricardo Carvalho; Mário Antunes 001; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (CloudNet, 2022)

Improve Contextual IoT service discovery with semantic models. - Mário Antunes 001; José Quevedo; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2022)

Exploring the Intricacies of Neural Network Optimization. - Rafael Teixeira; Mário Antunes 001; Rúben Sobral; João Martins; Diogo Gomes 001; Rui L. Aguiar (DS, 2023)

The learning costs of Federated Learning in constrained scenarios. - Rafael Teixeira; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2023)

Towards Improved Indoor Location with Unmodified RFID Systems. - Rui Santos; Ricardo Alexandre; Pedro Marques; Mário Antunes 001; João Paulo Barraca; João Silva; Nuno Ferreira (ICPRAM, 2023)

Real-World Indoor Location Assessment with Unmodified RFID Antennas. - Pedro Sobral; Rui Santos; Ricardo Alexandre; Pedro Marques; Mário Antunes 001; João Paulo Barraca; João Silva; Nuno Ferreira (ICPRAM (Revised Selected Papers), 2023)

Intelligent Assistant for Smart Factory Power Management. - José Cação; Mário Antunes 001; José Santos; Diogo Gomes 001 (ISM, 2023)

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection. - Tyler Estro; Mário Antunes 001; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (MASCOTS, 2023)

Eco-Friendly Intrusion Detection: Evaluating Energy Costs of Learning. - Julio Corona; Mário Antunes 001; Rui L. Aguiar (WF-IoT, 2023)

Industrial Internet of Things over 5G: A Practical Implementation. - José Meira; Gonçalo Matos; André Perdigão; José Cação; Carlos Resende; Waldir Moreira; Mário Antunes 001; José Quevedo; Ruben Moutinho; João Oliveira 003; Pedro Rendeiro; Pedro Oliveira; et al. (Sensors, 2023)

Home Comfort Dataset: Acquired from SGH. - Mariana Santos; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Data, 2023)

Rethinking Security: The Resilience of Shallow ML Models (Extended Abstract). - Rafael Teixeira; Mário Antunes 001; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (DSAA, 2024)

Improving Automotive Aftermarket Forecasting with MLOps. - Pedro Sobral; Rafael Teixeira; Ricardo Marques; Nuno Figueiredo; Mário Antunes 001; Diogo Gomes 001 (FiCloud, 2024)

Shallow vs. Deep Learning: Prioritizing Efficiency in Next Generation Networks. - Rafael Teixeira; Leonardo Almeida; Pedro Rodrigues; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2024)

From Black Box to Transparency: Consistency and Cost within XAI. - Julio Corona; Pedro Rodrigues; Leonardo Almeida; Rafael Teixeira; Mário Antunes 001; Rui L. Aguiar (GLOBECOM (Workshops), 2024)

Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches. - José Cação; Mário Antunes 001; José Santos; Miguel Monteiro (IoTBDS, 2024)

Machine learning-driven fault identification and classification: a two-step approach for industrial applications. - José Cação; José Santos; Mário Antunes 001; António Completo (ISM, 2024)

Accelerating multi-tier storage cache simulations using knee detection. - Tyler Estro; Mário Antunes 001; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (Perform. Evaluation, 2024)

Comparison of Semantic Similarity Models on Constrained Scenarios. - Rafael Teixeira; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Inf. Syst. Frontiers, 2024)

Exploring Recommendations Attacks Through Blind Optimization. - Julio Corona; Rafael Teixeira; Mário Antunes 001; Rui L. Aguiar (DS, 2025)

Understanding the Influence of Data Characteristics on Explainable AI. - Julio Corona; Rafael Teixeira; Mário Antunes 001; Rui L. Aguiar (EuCNC/6G Summit, 2025)

Towards Cost Estimation of DRL for Task Scheduling and Placement. - Julio Corona; Rafael Teixeira; Mário Antunes 001; Rui L. Aguiar (EUROCON, 2025)

Intelligent Task Placement: Assessing the Cost of Deep Reinforcement Learning. - Julio Corona; Rafael Teixeira; Mário Antunes 001; Rui L. Aguiar (FiCloud, 2025)

Learning How Federated Learning Learns: A Predictive Modeling Approach. - Rafael Teixeira; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2025)

Impact of Resource Heterogeneity on MLOps Stages: A Computational Efficiency Study. - Julio Corona; Pedro Rodrigues; Mário Antunes 001; Rui L. Aguiar (ICSOFT, 2025)

A Review of the Current Usage of AI/ML for Radio Access Network (RAN). - Alaa AlZailaa; Julio Corona; Rafael Teixeira; Hao Ran Chi; Mário Antunes 001; Ayman Radwan; Rui L. Aguiar (IEEE Access, 2025)

Efficient training: Federated learning cost analysis. - Rafael Teixeira; Leonardo Almeida; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Big Data Res., 2025)

Beyond performance comparing the costs of applying Deep and Shallow Learning. - Rafael Teixeira; Leonardo Almeida; Pedro Rodrigues; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Comput. Commun., 2025)

Leveraging decentralized communication for privacy-preserving federated learning in 6G Networks. - Rafael Teixeira; Gabriele Baldoni; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Comput. Commun., 2025)

Explainable AI for industrial fault diagnosis: A systematic review. - José Cação; José Santos; Mário Antunes 001 (J. Ind. Inf. Integr., 2025)

Kneeliverse: A universal knee-detection library for performance curves. - Mário Antunes 001; Tyler Estro; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (SoftwareX, 2025)

Smart Starts: Accelerating Convergence through Uncommon Region Exploration. - Xinyu Zhang; Mário Antunes 001; Tyler Estro; Erez Zadok; Klaus Mueller 001 (CoRR, 2025)

Rethinking security: the resilience of shallow ML models. - Rafael Teixeira; Mário Antunes 001; João Paulo Barraca; Diogo Gomes 001; Rui L. Aguiar (Int. J. Data Sci. Anal., 2025)