Diego R. Faria

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 49

Top Topics

Mobile Robotics

Random Number Generators

Scene Classification

Transfer Learning

Top Venues

IEEE Conf. on Intelligent Systems

Publications

Jordan J. Bird, Anikó Ekárt, Diego R. Faria
Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification. J. Ambient Intell. Humaniz. Comput. 14 (4) (2023)
Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar, Pablo Bustos, Diego R. Faria, Luis J. Manso
A graph neural network to model disruption in human-aware robot navigation. Multim. Tools Appl. 81 (3) (2022)
Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno M. M. da S. Gonçalves
Reducing Overconfidence Predictions in Autonomous Driving Perception. IEEE Access 10 (2022)
Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno M. M. da S. Gonçalves
Reducing Overconfidence Predictions for Autonomous Driving Perception. CoRR (2022)
Renato Barros Arantes, George Vogiatzis, Diego R. Faria
Learning an augmentation strategy for sparse datasets. Image Vis. Comput. 117 (2022)
Jordan J. Bird, Chloe M. Barnes, Luis J. Manso, Anikó Ekárt, Diego R. Faria
Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation. CoRR (2021)
Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar, Pablo Bustos, Diego R. Faria, Luis J. Manso
A Graph Neural Network to Model User Comfort in Robot Navigation. CoRR (2021)
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, Markus Vincze, Aude Billard
Hand-Object Interaction: From Human Demonstrations to Robot Manipulation. Frontiers Robotics AI 8 (2021)
Jordan J. Bird, Michael Pritchard, Antonio Fratini, Anikó Ekárt, Diego R. Faria
Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Jhonatan Kobylarz, Jordan J. Bird, Diego R. Faria, Eduardo Parente Ribeiro, Anikó Ekárt
Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning. J. Ambient Intell. Humaniz. Comput. 11 (12) (2020)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification. CoRR (2020)
Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. IROS (2020)
Renato Barros Arantes, George Vogiatzis, Diego R. Faria
CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation. ISVC (1) (2020)
Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, George Vogiatzis
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. CoRR (2020)
Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Cristiano Premebida, Pedro P. S. Ayrosa
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. CoRR (2020)
Jordan J. Bird, Diego R. Faria, Cristiano Premebida, Anikó Ekárt, Pedro P. S. Ayrosa
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. ICARSC (2020)
Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria
Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms. Expert Syst. Appl. 153 (2020)
Luis J. Manso, Pedro Núñez, Luis V. Calderita, Diego R. Faria, Pilar Bachiller
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions. Data 5 (1) (2020)
Renato Barros Arantes, George Vogiatzis, Diego R. Faria
rcGAN: Learning a Generative Model for Arbitrary Size Image Generation. ISVC (1) (2020)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Sensors 20 (18) (2020)
Jordan J. Bird, Jhonatan Kobylarz, Diego R. Faria, Anikó Ekárt, Eduardo Parente Ribeiro
Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG. IEEE Access 8 (2020)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
On the effects of pseudorandom and quantum-random number generators in soft computing. Soft Comput. 24 (12) (2020)
Yingyi Kuang, Abraham Itzhak Weinberg, George Vogiatzis, Diego R. Faria
Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning. RO-MAN (2020)
Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno M. M. da S. Gonçalves
Probabilistic Object Classification using CNN ML-MAP layers. CoRR (2020)
Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Pedro P. S. Ayrosa
From Simulation to Reality: CNN Transfer Learning for Scene Classification. IEEE Conf. on Intelligent Systems (2020)
Claudio Coppola, Serhan Cosar, Diego R. Faria, Nicola Bellotto
Social Activity Recognition on Continuous RGB-D Video Sequences. Int. J. Soc. Robotics 12 (1) (2020)
Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria, Pablo Bustos, Pilar Bachiller
Graph Neural Networks for Human-Aware Social Navigation. WAF (2020)
Renato Barros Arantes, George Vogiatzis, Diego R. Faria
QuiltGAN: An Adversarially Trained, Procedural Algorithm for Texture Generation. ICVS (2019)
Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria, Pablo Bustos, Pilar Bachiller
Graph Neural Networks for Human-aware Social Navigation. CoRR (2019)
Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria
Accent classification in human speech biometrics for native and non-native english speakers. PETRA (2019)
Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. Complex. 2019 (2019)
Luis J. Manso, Pedro Núñez, Luis V. Calderita, Diego R. Faria, Pilar Bachiller
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions. CoRR (2019)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. CoRR (2019)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. UKCI (2019)
Jodie Ashford, Jordan J. Bird, Felipe Campelo, Diego R. Faria
Classification of EEG Signals Based on Image Representation of Statistical Features. UKCI (2019)
Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction. CoRR (2019)
Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria
Phoneme aware speech recognition through evolutionary optimisation. GECCO (Companion) (2019)
Mahbub Hussain, Jordan J. Bird, Diego R. Faria
A Study on CNN Transfer Learning for Image Classification. UKCI (2018)
Jordan J. Bird, Luis J. Manso, Eduardo Parente Ribeiro, Anikó Ekárt, Diego R. Faria
A Study on Mental State Classification using EEG-based Brain-Machine Interface. IEEE Conf. on Intelligent Systems (2018)
Gledson Melotti, Cristiano Premebida, Nuno M. M. da S. Gonçalves, Urbano Jose C. Nunes, Diego R. Faria
Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. ITSC (2018)
Hamid Golzadeh, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham
Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks. IEEE Conf. on Intelligent Systems (2018)
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. UKCI (2018)
Karen Tatarian, Micael S. Couceiro, Eduardo Parente Ribeiro, Diego R. Faria
Stepping-stones to Transhumanism: An EMG-controlled Low-cost Prosthetic Hand for Academia. IEEE Conf. on Intelligent Systems (2018)
Diego R. Faria, Mario Vieira, Fernanda C. C. Faria, Cristiano Premebida
Affective facial expressions recognition for human-robot interaction. RO-MAN (2017)
Jessica P. M. Vital, Diego R. Faria, Gonçalo Dias, Micael S. Couceiro, Fernanda Coutinho, Nuno M. F. Ferreira
Combining discriminative spatiotemporal features for daily life activity recognition using wearable motion sensing suit. Pattern Anal. Appl. 20 (4) (2017)
Urbano Nunes, Diego R. Faria, Paulo Peixoto
A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier. Pattern Recognit. Lett. 99 (2017)
Cristiano Premebida, Diego R. Faria, Urbano Nunes
Dynamic Bayesian network for semantic place classification in mobile robotics. Auton. Robots 41 (5) (2017)
Claudio Coppola, Serhan Cosar, Diego R. Faria, Nicola Bellotto
Automatic detection of human interactions from RGB-D data for social activity classification. RO-MAN (2017)
Claudio Coppola, Diego R. Faria, Urbano Nunes, Nicola Bellotto
Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data. IROS (2016)
Mario Vieira, Diego R. Faria, Urbano Nunes
Real-time Application for Monitoring Human Daily Activity and Risk Situations in Robot-Assisted Living. ROBOT (2) (2015)
Diego R. Faria, Mario Vieira, Cristiano Premebida, Urbano Nunes
Probabilistic human daily activity recognition towards robot-assisted living. RO-MAN (2015)
Cristiano Premebida, Diego R. Faria, Francisco A. Souza, Urbano Nunes
Applying probabilistic Mixture Models to semantic place classification in mobile robotics. IROS (2015)
Diego R. Faria, Pedro Trindade, Jorge Lobo, Jorge Dias
Knowledge-based reasoning from human grasp demonstrations for robot grasp synthesis. Robotics Auton. Syst. 62 (6) (2014)
Diego R. Faria, Cristiano Premebida, Urbano Nunes
A probabilistic approach for human everyday activities recognition using body motion from RGB-D images. RO-MAN (2014)
S. Jafar Hosseini, Diego R. Faria, Jorge Lobo, Jorge Dias
Probabilistic Classification of Grasping Behaviours Using Visuo-Haptic Perception. DoCEIS (2012)
Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias
A Probabilistic Framework to Detect Suitable Grasping Regions on Objects. SyRoCo (2012)
Diego R. Faria, Jorge Lobo, Jorge Dias
Identifying objects from hand configurations during in-hand exploration. MFI (2012)
Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias
Extracting data from human manipulation of objects towards improving autonomous robotic grasping. Robotics Auton. Syst. 60 (3) (2012)
Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias
Manipulative Tasks Identification by Learning and Generalizing Hand Motions. DoCEIS (2011)
Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias
Probabilistic representation of 3D object shape by in-hand exploration. IROS (2010)
Diego R. Faria, Ricardo Martins, Jorge Dias
Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map. DoCEIS (2010)
Diego R. Faria, Jorge Dias
3D hand trajectory segmentation by curvatures and hand orientation for classification through a probabilistic approach. IROS (2009)
Diego R. Faria, José Augusto Prado, Paulo Drews Jr., Jorge Dias
Object Shape Retrieval through Grasp Exploration. ECMR (2009)
Diego R. Faria, Hadi Aliakbarpour, Jorge Dias
Grasping movements recognition in 3D space using a Bayesian approach. ICAR (2009)