Diego R. Faria

According to our database, Diego R. Faria authored at least 61 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Causality from Bottom to Top: A Survey.

Abraham Itzhak Weinberg, Cristiano Premebida, Diego Resende Faria

CoRR, 2024

2023

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

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

Learning an augmentation strategy for sparse datasets.

Renato Barros Arantes, George Vogiatzis, Diego R. Faria

Image Vis. Comput., 2022

Reducing Overconfidence Predictions in Autonomous Driving Perception.

Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves

IEEE Access, 2022

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

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, Markus Vincze, Aude Billard

Frontiers Robotics AI, 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

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

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

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

Special issue on human behaviour monitoring, interpretation and understanding.

Ahmad Lotfi, Amir Pourabdollah, Diego Resende Faria

J. Ambient Intell. Humaniz. Comput., 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

Social Activity Recognition on Continuous RGB-D Video Sequences.

Claudio Coppola, Serhan Cosar, Diego R. Faria, Nicola Bellotto

Int. J. Soc. Robotics, 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

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

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

Probabilistic Object Classification using CNN ML-MAP layers.

Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves

CoRR, 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

Graph Neural Networks for Human-Aware Social Navigation.

Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria, Pablo Bustos, Pilar Bachiller

Proceedings of the Advances in Physical Agents II, 2020

Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning.

Yingyi Kuang, Abraham Itzhak Weinberg, George Vogiatzis, Diego R. Faria

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation.

Renato Barros Arantes, George Vogiatzis, Diego R. Faria

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

rcGAN: Learning a Generative Model for Arbitrary Size Image Generation.

Renato Barros Arantes, George Vogiatzis, Diego R. Faria

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

From Simulation to Reality: CNN Transfer Learning for Scene Classification.

Jordan J. Bird, Diego R. Faria, Anikó Ekárt, Pedro P. S. Ayrosa

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019

On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing.

Jordan J. Bird, Anikó Ekárt, Diego R. Faria

CoRR, 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

Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network.

Jordan J. Bird, Anikó Ekárt, Diego R. Faria

Proceedings of the Advances in Computational Intelligence Systems, 2019

Classification of EEG Signals Based on Image Representation of Statistical Features.

Jodie Ashford, Jordan J. Bird, Felipe Campelo, Diego R. Faria

Proceedings of the Advances in Computational Intelligence Systems, 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

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

QuiltGAN: An Adversarially Trained, Procedural Algorithm for Texture Generation.

Renato Barros Arantes, George Vogiatzis, Diego R. Faria

Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Phoneme aware speech recognition through evolutionary optimisation.

Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

A Study on CNN Transfer Learning for Image Classification.

Mahbub Hussain, Jordan J. Bird, Diego R. Faria

Proceedings of the Advances in Computational Intelligence Systems, 2018

Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System.

Jordan J. Bird, Anikó Ekárt, Diego R. Faria

Proceedings of the Advances in Computational Intelligence Systems, 2018

Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data.

Gledson Melotti, Cristiano Premebida, Nuno Gonçalves, Urbano José C. Nunes, Diego R. Faria

Proceedings of the 21st International Conference on Intelligent Transportation 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

Proceedings of the 9th IEEE International Conference 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

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

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

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

2017

A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier.

Urbano Nunes, Diego R. Faria, Paulo Peixoto

Pattern Recognit. Lett., 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

Dynamic Bayesian network for semantic place classification in mobile robotics.

Cristiano Premebida, Diego R. Faria, Urbano Nunes

Auton. Robots, 2017

Affective facial expressions recognition for human-robot interaction.

Diego R. Faria, Mario Vieira, Fernanda C. C. Faria, Cristiano Premebida

Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Automatic detection of human interactions from RGB-D data for social activity classification.

Claudio Coppola, Serhan Cosar, Diego R. Faria, Nicola Bellotto

Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction.

Diego Resende Faria, Mario Vieira, Fernanda C. C. Faria

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

2016

Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data.

Claudio Coppola, Diego R. Faria, Urbano Nunes, Nicola Bellotto

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Real-time Application for Monitoring Human Daily Activity and Risk Situations in Robot-Assisted Living.

Mario Vieira, Diego R. Faria, Urbano Nunes

Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Probabilistic human daily activity recognition towards robot-assisted living.

Diego R. Faria, Mario Vieira, Cristiano Premebida, Urbano Nunes

Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Applying probabilistic Mixture Models to semantic place classification in mobile robotics.

Cristiano Premebida, Diego R. Faria, Francisco A. Souza, Urbano Nunes

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Knowledge-based reasoning from human grasp demonstrations for robot grasp synthesis.

Diego R. Faria, Pedro Trindade, Jorge Lobo, Jorge Dias

Robotics Auton. Syst., 2014

A probabilistic approach for human everyday activities recognition using body motion from RGB-D images.

Diego R. Faria, Cristiano Premebida, Urbano Nunes

Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

2012

Extracting data from human manipulation of objects towards improving autonomous robotic grasping.

Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias

Robotics Auton. Syst., 2012

A Probabilistic Framework to Detect Suitable Grasping Regions on Objects.

Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias

Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Identifying objects from hand configurations during in-hand exploration.

Diego R. Faria, Jorge Lobo, Jorge Dias

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

Probabilistic Classification of Grasping Behaviours Using Visuo-Haptic Perception.

S. Jafar Hosseini, Diego R. Faria, Jorge Lobo, Jorge Dias

Proceedings of the Technological Innovation for Value Creation, 2012

2011

Manipulative Tasks Identification by Learning and Generalizing Hand Motions.

Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias

Proceedings of the Technological Innovation for Sustainability, 2011

2010

Probabilistic representation of 3D object shape by in-hand exploration.

Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map.

Diego R. Faria, Ricardo Martins, Jorge Dias

Proceedings of the Emerging Trends in Technological Innovation, 2010

2009

3D hand trajectory segmentation by curvatures and hand orientation for classification through a probabilistic approach.

Diego R. Faria, Jorge Dias

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Grasping movements recognition in 3D space using a Bayesian approach.

Diego R. Faria, Hadi Aliakbarpour, Jorge Dias

Proceedings of the 14th International Conference on Advanced Robotics, 2009

Object Shape Retrieval through Grasp Exploration.

Diego R. Faria, José Augusto Prado, Paulo Drews Jr., Jorge Dias

Proceedings of the 4th European Conference on Mobile Robots, 2009