Object Shape Retrieval through Grasp Exploration. - Diego R. Faria; José Augusto Prado; Paulo Drews Jr.; Jorge Dias 001 (ECMR, 2009)

Grasping movements recognition in 3D space using a Bayesian approach. - Diego R. Faria; Hadi Aliakbarpour; Jorge Dias 001 (ICAR, 2009)

3D hand trajectory segmentation by curvatures and hand orientation for classification through a probabilistic approach. - Diego R. Faria; Jorge Dias 001 (IROS, 2009)

Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map. - Diego R. Faria; Ricardo Martins 002; Jorge Dias 001 (DoCEIS, 2010)

Probabilistic representation of 3D object shape by in-hand exploration. - Diego R. Faria; Ricardo Martins 002; Jorge Lobo 002; Jorge Dias 001 (IROS, 2010)

Manipulative Tasks Identification by Learning and Generalizing Hand Motions. - Diego R. Faria; Ricardo Martins 002; Jorge Lobo 002; Jorge Dias 001 (DoCEIS, 2011)

Probabilistic Classification of Grasping Behaviours Using Visuo-Haptic Perception. - S. Jafar Hosseini; Diego R. Faria; Jorge Lobo 002; Jorge Dias 001 (DoCEIS, 2012)

Identifying objects from hand configurations during in-hand exploration. - Diego R. Faria; Jorge Lobo 002; Jorge Dias 001 (MFI, 2012)

A Probabilistic Framework to Detect Suitable Grasping Regions on Objects. - Diego R. Faria; Ricardo Martins 002; Jorge Lobo 002; Jorge Dias 001 (SyRoCo, 2012)

Extracting data from human manipulation of objects towards improving autonomous robotic grasping. - Diego R. Faria; Ricardo Martins 002; Jorge Lobo 002; Jorge Dias 001 (Robotics Auton. Syst., 2012)

A probabilistic approach for human everyday activities recognition using body motion from RGB-D images. - Diego R. Faria; Cristiano Premebida; Urbano Nunes 001 (RO-MAN, 2014)

Knowledge-based reasoning from human grasp demonstrations for robot grasp synthesis. - Diego R. Faria; Pedro Trindade; Jorge Lobo 002; Jorge Dias 001 (Robotics Auton. Syst., 2014)

Applying probabilistic Mixture Models to semantic place classification in mobile robotics. - Cristiano Premebida; Diego R. Faria; Francisco Alexandre A. Souza; Urbano Nunes 001 (IROS, 2015)

Probabilistic human daily activity recognition towards robot-assisted living. - Diego R. Faria; Mario Vieira; Cristiano Premebida; Urbano Nunes 001 (RO-MAN, 2015)

Real-time Application for Monitoring Human Daily Activity and Risk Situations in Robot-Assisted Living. - Mario Vieira; Diego R. Faria; Urbano Nunes 001 (ROBOT (2), 2015)

Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data. - Claudio Coppola; Diego R. Faria; Urbano Nunes 001; Nicola Bellotto (IROS, 2016)

Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction. - Diego Resende Faria; Mario Vieira; Fernanda C. C. Faria (PETRA, 2017)

Automatic detection of human interactions from RGB-D data for social activity classification. - Claudio Coppola; Serhan Cosar; Diego R. Faria; Nicola Bellotto (RO-MAN, 2017)

Affective facial expressions recognition for human-robot interaction. - Diego R. Faria; Mario Vieira; Fernanda C. C. Faria; Cristiano Premebida (RO-MAN, 2017)

Dynamic Bayesian network for semantic place classification in mobile robotics. - Cristiano Premebida; Diego R. Faria; Urbano Nunes 001 (Auton. Robots, 2017)

Combining discriminative spatiotemporal features for daily life activity recognition using wearable motion sensing suit. - Jessica P. M. Vital; Diego R. Faria; Gonçalo Dias; Micael S. Couceiro; Fernanda Coutinho; Nuno M. F. Ferreira (Pattern Anal. Appl., 2017)

A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier. - Urbano Nunes 001; Diego R. Faria; Paulo Peixoto (Pattern Recognit. Lett., 2017)

A Study on Mental State Classification using EEG-based Brain-Machine Interface. - Jordan J. Bird; Luis J. Manso; Eduardo Parente Ribeiro; Anikó Ekárt; Diego R. Faria (IEEE Conf. on Intelligent Systems, 2018)

Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks. - Hamid Golzadeh; Diego R. Faria; Luis J. Manso; Anikó Ekárt; Christopher D. Buckingham (IEEE Conf. on Intelligent Systems, 2018)

Stepping-stones to Transhumanism: An EMG-controlled Low-cost Prosthetic Hand for Academia. - Karen Tatarian; Micael S. Couceiro; Eduardo Parente Ribeiro; Diego R. Faria (IEEE Conf. on Intelligent Systems, 2018)

Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. - Gledson Melotti; Cristiano Premebida; Nuno Gonçalves 001; Urbano José C. Nunes; Diego R. Faria (ITSC, 2018)

Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (UKCI, 2018)

A Study on CNN Transfer Learning for Image Classification. - Mahbub Hussain; Jordan J. Bird; Diego R. Faria (UKCI, 2018)

Phoneme aware speech recognition through evolutionary optimisation. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (GECCO (Companion), 2019)

QuiltGAN: An Adversarially Trained, Procedural Algorithm for Texture Generation. - Renato Barros Arantes; George Vogiatzis; Diego R. Faria (ICVS, 2019)

Accent classification in human speech biometrics for native and non-native english speakers. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (PETRA, 2019)

Classification of EEG Signals Based on Image Representation of Statistical Features. - Jodie Ashford; Jordan J. Bird; Felipe Campelo; Diego R. Faria (UKCI, 2019)

Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (UKCI, 2019)

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

On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (CoRR, 2019)

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; Pedro P. S. Ayrosa (ICARSC, 2020)

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; George Vogiatzis (IROS, 2020)

From Simulation to Reality: CNN Transfer Learning for Scene Classification. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Pedro P. S. Ayrosa (IEEE Conf. on Intelligent Systems, 2020)

rcGAN: Learning a Generative Model for Arbitrary Size Image Generation. - Renato Barros Arantes; George Vogiatzis; Diego R. Faria (ISVC (1), 2020)

CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation. - Renato Barros Arantes; George Vogiatzis; Diego R. Faria (ISVC (1), 2020)

Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning. - Yingyi Kuang; Abraham Itzhak Weinberg; George Vogiatzis; Diego R. Faria (RO-MAN, 2020)

Graph Neural Networks for Human-Aware Social Navigation. - Luis J. Manso; Ronit R. Jorvekar; Diego R. Faria; Pablo Bustos; Pilar Bachiller (WAF, 2020)

Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. - Jordan J. Bird; Jhonatan Kobylarz; Diego R. Faria; Anikó Ekárt; Eduardo Parente Ribeiro (IEEE Access, 2020)

Probabilistic Object Classification using CNN ML-MAP layers. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (CoRR, 2020)

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Cristiano Premebida; Pedro P. S. Ayrosa (CoRR, 2020)

SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions. - Luis J. Manso; Pedro Núñez; Luis V. Calderita; Diego R. Faria; Pilar Bachiller (Data, 2020)

Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. - Jordan J. Bird; Elizabeth F. Wanner; Anikó Ekárt; Diego R. Faria (Expert Syst. Appl., 2020)

Social Activity Recognition on Continuous RGB-D Video Sequences. - Claudio Coppola; Serhan Cosar; Diego R. Faria; Nicola Bellotto (Int. J. Soc. Robotics, 2020)

Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. - Jhonatan Kobylarz; Jordan J. Bird; Diego R. Faria; Eduardo Parente Ribeiro; Anikó Ekárt (J. Ambient Intell. Humaniz. Comput., 2020)

Special issue on human behaviour monitoring, interpretation and understanding. - Ahmad Lotfi; Amir Pourabdollah; Diego Resende Faria (J. Ambient Intell. Humaniz. Comput., 2020)

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

On the effects of pseudorandom and quantum-random number generators in soft computing. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (Soft Comput., 2020)

A Graph Neural Network to Model User Comfort in Robot Navigation. - Pilar Bachiller; Daniel Rodriguez-Criado; Ronit R. Jorvekar; Pablo Bustos; Diego R. Faria; Luis J. Manso (CoRR, 2021)

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. - Jordan J. Bird; Chloe M. Barnes; Luis J. Manso; Anikó Ekárt; Diego R. Faria (CoRR, 2021)

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

Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. - Jordan J. Bird; Michael Pritchard; Antonio Fratini; Anikó Ekárt; Diego R. Faria (IEEE Robotics Autom. Lett., 2021)

Reducing Overconfidence Predictions in Autonomous Driving Perception. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (IEEE Access, 2022)

Learning an augmentation strategy for sparse datasets. - Renato Barros Arantes; George Vogiatzis; Diego R. Faria (Image Vis. Comput., 2022)

A graph neural network to model disruption in human-aware robot navigation. - Pilar Bachiller; Daniel Rodriguez-Criado; Ronit R. Jorvekar; Pablo Bustos; Diego R. Faria; Luis J. Manso (Multim. Tools Appl., 2022)

Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. - Jordan J. Bird; Anikó Ekárt; Diego R. Faria (J. Ambient Intell. Humaniz. Comput., 2023)

Generating Synthetic EEG Data Using Generative AI for Mental States Prediction in Human-Machine Interaction. - Archana Venugopal; Diego Resende Faria (ICSR + AI (3), 2024)

Causality from Bottom to Top: A Survey. - Abraham Itzhak Weinberg; Cristiano Premebida; Diego Resende Faria (CoRR, 2024)

Employing WGAN-GP for Synthesizing Biophysical Data: Generating Synthetic EEG for Concentration and Relaxation Level Prediction. - Archana Venugopal; Diego Resende Faria (FICC (2), 2025)

Real-Time Gaze Estimation Using Webcam-Based CNN Models for Human-Computer Interactions. - Visal Vidhya; Diego Resende Faria (Comput., 2025)