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Article

Bird, Jordan J., Barnes, Chloe M., Manso, Luis J., Ekárt, Anikó and Faria, Diego R. (2022). Fruit quality and defect image classification with conditional GAN data augmentation. Scientia Horticulturae, 293 ,

Carfì, Alessandro, Patten, Timothy, Kuang, Yingyi, Hammoud, Ali, Alameh, Mohamad, Maiettini, Elisa, Weinberg, Abraham Itzhak, Faria, Diego, Mastrogiovanni, Fulvio, Alenyà, Guillem, Natale, Lorenzo, Perdereau, Véronique, Vincze, Markus and Billard, Aude (2021). Hand-Object Interaction: From Human Demonstrations to Robot Manipulation. Frontiers in Robotics and AI, 8 ,

Bird, Jordan J., Ekárt, Anikó and Faria, Diego R. (2021). Chatbot Interaction with Artificial Intelligence:human data augmentation with T5 and language transformer ensemble for text classification. Journal of Ambient Intelligence and Humanized Computing ,

Bachiller, Pilar, Rodriguez-Criado, Daniel, Jorvekar, Ronit R., Bustos, Pablo, Faria, Diego and Manso, Luis J. (2021). A Graph Neural Network to Model Disruption in Human-aware Robot Navigation. Multimedia Tools and Applications ,

Bird, Jordan J., Pritchard, Michael, Fratini, Antonio, Ekart, Aniko and Faria, Diego (2021). Synthetic Biological Signals Machine-generated by GPT-2 improve the Classification of EEG and EMG through Data Augmentation. IEEE Robotics and Automation Letters, 6 (2), pp. 3498-3504.

Bird, Jordan J, Faria, Diego R, Manso, Luis J, Ayrosa, Pedro Paulo Da Silva and Ekart, Aniko (2021). A study on CNN image classification of EEG Signals represented in 2D and 3D. Journal of Neural Engineering, 18 (2),

Pritchard, Michael, Weinberg, Abraham Itzhak, Williams, John A R, Campelo, Felipe, Goldingay, Harry and Faria, Diego R (2021). Dynamic Fusion of Electromyographic and Electroencephalographic Data towards Use in Robotic Prosthesis Control. Journal of Physics: Conference Series, 1828 (1),

Bird, Jordan J., Kobylarz, Jhonatan, Faria, Diego R., Ekart, Aniko and Ribeiro, Eduardo P. (2021). Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE Access, 8 , pp. 54789-54801.

Kobylarz, Jhonatan, Bird, Jordan J., Faria, Diego R., Ribeiro, Eduardo Parente and Ekárt, Anikó (2020). Thumbs up, thumbs down:non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. Journal of Ambient Intelligence and Humanized Computing, 11 (12), pp. 6021-6031.

Bird, Jordan J., Barnes, Chloe M., Premebida, Cristiano, Ekárt, Anikó and Faria, Diego R. (2020). Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach. PLoS ONE, 15 (10),

Bird, Jordan J., Ekárt, Anikó and Faria, Diego R. (2020). British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Sensors, 20 (18),

Bird, Jordan J., Wanner, Elizabeth, Ekárt, Anikó and Faria, Diego R. (2020). Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Systems with Applications, 153 ,

Faria, Diego R., Bird, Jordan J., Daquana, Cintia, Kobylarz, Jhonatan and Ayrosa, Pedro P.S. (2020). Towards ai-based interactive game intervention to monitor concentration levels in children with attention deficit. International Journal of Information and Education Technology, 10 (9), pp. 641-648.

Bird, Jordan, Ekárt, Anikó and Faria, Diego (2020). On the effects of pseudorandom and quantum-random number generators in soft computing. Soft computing, 24 , 9243–9256.

Manso, Luis J., Nunez, Pedro, Calderita, Luis V., Faria, Diego and Bachiller, Pilar (2020). SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions. Data, 5 (1),

Coppola, Claudio, Cosar, Serhan, Faria, Diego R. and Bellotto, Nicola (2020). Social Activity Recognition on Continuous RGB-D Video Sequences. International Journal of Social Robotics, 12 , 201–215.

Bird, Jordan, Faria, Diego, Manso, Luis J., Ekárt, Anikó and Buckingham, Christopher D (2019). A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complexity, 2019 ,

Nunes, Urbano Miguel, Faria, Diego R. and Peixoto, Paulo (2017). A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier. Pattern Recognition Letters, 99 , pp. 21-31.

Premebida, Cristiano, Faria, Diego R. and Nunes, Urbano (2017). Dynamic Bayesian network for semantic place classification in mobile robotics. Autonomous Robots, 41 (5), pp. 1161-1172.

Book Section

Dolopikos, Christos, Pritchard, Michael, Bird, Jordan J. and Faria, Diego R. (2021). Electromyography Signal-Based Gesture Recognition for Human-Machine Interaction in Real-Time Through Model Calibration. IN: Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. Arai, Kohei (ed.) Advances in Intelligent Systems and Computing . Virtual, Online: Springer.

Bird, Jordan J., Faria, Diego R., Premebida, Cristiano, Ekart, Aniko and Vogiatzis, George (2021). Look and listen:A multi-modality late fusion approach to scene classification for autonomous machines. IN: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. IEEE International Conference on Intelligent Robots and Systems . USA: IEEE.

Barros Arantes, Renato, Vogiatzis, George and Faria, Diego R. (2020). CSC-GAN:Cycle and Semantic Consistency for Dataset Augmentation. IN: Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings. Bebis, George; Yin, Zhaozheng; Kim, Edward; Bender, Jan; Subr, Kartic; Kwon, Bum Chul; Zhao, Jian; Kalkofen, Denis and Baciu, George (eds) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12509 . USA: Springer.

Manso, Luis J., Jorvekar, Ronit R., Faria, Diego, Bustos, Pablo and Bachiller, Pilar (2020). Graph Neural Networks for Human-aware Social Navigation. IN: Advances in Physical Agents II - Proceedings of the 21st International Workshop of Physical Agents WAF 2020. Bergasa, Luis M.; Ocaña, Manuel; Barea, Rafael; López-Guillén, Elena and Revenga, Pedro (eds) Advances in Intelligent Systems and Computing . ESP: Springer.

Faria, Diego, Premebida, Cristiano, Manso, Luis J., Ribeiro, Eduardo P. and Nunez, Pedro (2018). Multimodal Bayesian Network for Artificial Perception. IN: Bayesian Networks. InTech.

Coppola, Claudio, Cosar, Serhan, Faria, Diego R. and Bellotto, Nicola (2017). Automatic Detection of Human Interactions from RGB-D Data for Social Activity Classification. IN: IEEE RO-MAN'17: IEEE International Symposium on Robot and Human Interactive Communication, Lisbon, Portugal. 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) . IEEE.

Faria, Diego R., Faria, Fernanda C. C. and Premebida, Cristiano (2017). Towards multimodal affective expression:merging facial expressions and body motion into emotion. IN: IEEE RO-MAN'17: Workshop Proceedings on Artificial Perception, Machine Learning and Datasets for Human-Robot Interaction (ARMADA'17), pp.16-20. IEEE.

Faria, Diego R., Vieira, Mario, Faria, Fernanda C. C. and Premebida, Cristiano (2017). Affective facial expressions recognition for human-robot interaction. IN: IEEE RO-MAN'17: IEEE International Symposium on Robot and Human Interactive Communication, Lisbon, Portugal. IEEE.

Faria, Diego Resende, Vieira, Mario and Faria, Fernanda C.C. (2017). Towards the development of affective facial expression recognition for human-robot interaction. IN: ACM PETRA'17: 10th International Conference on PErvasive Technologies Related to Assistive Environments (NOTION: Human Behaviour Monitoring, Interpretation and Understanding). GRC: ACM.

Coppola, Claudio, Faria, Diego R., Nunes, Urbano and Bellotto, Nicola (2016). Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data. IN: IROS 2016 - 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE International Conference on Intelligent Robots and Systems. Proceedings . KOR: IEEE.

Faria, Diego R., Premebida, Cristiano and Nunes, Urbano (2014). A Probabilistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images. IN: IEEE RO-MAN'14: IEEE International Symposium on Robot and Human Interactive Communication. Edinburgh-Scotland. * Finalist for Kazuo Tanie Award. The 23rd IEEE International Symposium on Robot and Human Interactive Communication . GBR: IEEE.

Martins, Ricardo, Faria, Diego R. and Dias, Jorge (2012). Representation framework of perceived object softness characteristics for active robotic hand exploration. IN: ACM/IEEE HRI'2012: Workshop on Advances in Tactile Sensing and Touch based Human-Robot Interaction, Boston, USA. UNSPECIFIED.

Conference or Workshop Item

Nunes, U. M., Faria, D. R. and Peixoto, P. (2016). Human Activity Recognition using Max-Min Skeleton-based Features and Key Poses. IN: IEEE RO-MAN'16: Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR). 2016-08-26 - 2016-08-31.