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Publications
[j16] J. J. Bird, C. M. Barnes, C. Premebida, A. Ekárt,, Diego R. Faria, "Country-level Pandemic Risk and Preparedness Classification based on COVID-19 data: A Machine Learning Approach" , PLOS One, 2020
[j15] Ahmad Lotfi, Amir Pourabdollah, Diego R. Faria, "Special issue on human behaviour monitoring, interpretation and understanding" , Journal of Ambient Intelligence and Humanized Computing, 2020
[j14] J. J . Bird, A. Ekárt, D. R. Faria, "British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language" , Sensors, 2020.
[j13] J. J. Bird, J. Kobylarz, D. R. Faria, A. Ekárt, E. P. Ribeiro " Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG" , IEEE ACCESS, 2020.
[j12] J. J. Bird, E. F. Wanner , A. Ekárt, D. R. Faria, " Optimisation of Phonetic Aware Speech Recognition through Multi-objective Evolutionary Algorithms" , Expert Systems with Applications, Elsevier, 2020.
[j11] D. R. Faria, J. J. Bird, C. Daquana, J. Kobylarz, P. P. S. Ayrosa " Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit" , International Journal of Information and Education Technology, 2020 (to appear).
[j10] J. Kobylarz, J. J. Bird, D. R. Faria, E. P. Ribeiro, A. Ekárt, " 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, springer, 2020.
[j9] L. J. Manso, P. Nuñez, L. V. Calderita, D. R. Faria, P. Bachiller, " SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions" , Data MDPI 5(1) 7, 2020, pp 1-10.
[j8] J. J. Bird, A. Ekart, D. R. Faria, " On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing" , Soft Computing, Springer, 2019.
[j7] J. J. Bird, D. R. Faria, L. J. Manso, A. Ekart, C. D. Buckingham. " A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction" , Complexity, 2019. https://doi.org/10.1155/2019/4316548
[j6] C. Coppola, S. Cosar, D. R. Faria, N. Bellotto. " Social Activity Recognition from Continuous RGB-D Video Sequences" , Journal of Social Robotics, 2019.
[j5] U. M. Nunes, D. R. Faria, P. Peixoto. " A human activity recognition framework using max-min features and key poses with differential evolution
random
forests classifier
" Pattern Recognition Letters,
2017.
[ j4
]
C. Premebida,
D. R.
Faria,
U. Nunes. "
Dynamic Bayesian
Network for Semantic Place Classification in Mobile
Robotics
", AURO Springer: Autonomous Robotics,
2017.
[j3] J. Vital, D. R. Faria, G. Dias, M. Couceiro, F. Coutinho, N. Ferreira. " Combining Discriminative Spatio-Temporal Features for Daily Life
Activity
Recognition using Wearable Motion Sensing Suit
". PAA
Springer: Pattern Analysis and Applications, 2016.
[j2]
Diego R. Faria
,
Pedro Trindade, Jorge Lobo, Jorge Dias - "
Knowledge-based
Reasoning from Human Grasp Demonstrations for Robot
Grasp Synthesis". RAS Journal, Elsevier -
Robotics and Autonomous Systems, 2014.
[j1]
Diego
R. Faria
, Ricardo
Martins, Jorge Lobo, Jorge Dias. "
Extracting Data from
Human Manipulation of Objects Towards Improving
Autonomous Robotic Grasping". Robotics and
Autonomous Systems, Elsevier, Volume 60, Issue 3, Pages 396-410,
March 2012.
Book Chapters:
[
b2
]
D. R. Faria
, C. Premebida, Luis J. Manso, Eduardo P. Ribeiro, Pedro Nunez, "
Multimodal Bayesian Network
for Artificial Perception
",
Book Title: Bayesian Networks, ISBN -,
InTech, 2018, pp .
[
b1
]
C. Premebida, F. A. Souza,
D.
R. Faria
. "
Dynamic Bayesian Network
for Time Dependent Classification Problems in Robotics
",
Book Title: Bayesian Inference, ISBN 978-953-51-5472-3,
InTech, Ed. J. P. Tejedor, 2017, pp 299-310.
[51]
Christos Dolopikos, Michael Pritchard, Jordan J. Bird, Diego R. Faria , "
Electromyography Signal-based Gesture Recognition for Human-Machine Interaction in Real-Time through Model Calibration
", Future of Information and Communications Conference (FICC), 2021
[50]
Renato Arantes, George Vogiatzis, Diego R. Faria , "
CSC-GAN: Cycle and semantic consistency for dataset augmentation
", ISVC'20: International Symposium on Visual Computing, 2020.
[49]
Renato Arantes, George Vogiatzis, Diego R. Faria , "
rcGAN: Learning a generative model for arbitrary size image generation
", ISVC'20: International Symposium on Visual Computing, 2020.
[48]
Jordan J. Bird, Diego R. Faria , Cristiano Premebida, Aniko Ekart, George Vogiatzis, "
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines
", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'20), 2020.
[47]
Yingyi Kuang, Abraham Weinberg, George Vogiatzis, Diego R. Faria , "
Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning
", The 29th IEEE International Conference on Robot and Human Interactive Communication (ROMAN'20), 2020.
[46]
L. J. Manso, R. R. Jorvekar, Diego R. Faria , P. Bustos, P. Bachiller,"
Graph Neural Networks for Human-aware Social Navigation
", WAF2020: 21st International Workshop of Physical Agents, 2020
[45]
Yingyi Kuang, George Vogiatzis, Diego R. Faria , "
Improving exploration efficiency of single-goal in-hand manipulation reinforcement learning by Progressive Goal Generation
", IEEE RO-MAN HOBI Workshop (Hand-Object Interaction: From Human Demonstrations to Robot Manipulation), 2020.
[44]
G. Melotti, C. Premebida, J.J. Bird, D. R. Faria , N. Gonçalves, "
Probabilistic Object Classification using CNN ML-MAP layers
", ECCV 2020 Workshop on Perception for Autonomous Driving, 2020.
[43]
Jordan J. Bird, Diego R. Faria , Cristiano Premebida, Aniko Ekart, Pedro P. S. Ayrosa, "
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN
", 20th IEEE International Conference on Autonomous Robot Systems and Competitions (IEEE ICARSC'20).
[42]
Jordan J. Bird, Diego R. Faria , Aniko Ekart, Pedro P. S. Ayrosa. "
From Simulation to Reality: CNN Transfer Learning for Scene Classification
", 10th IEEE International Conference on Intelligent Systems IS’20, 2020.
[41]
Renato B. Arantes, George Vogiatzis, Diego R. Faria "
QuiltGAN: an adversarially trained, procedural algorithm for texture generation
", ICVS'19: 12th International Conference on Computer Vision Systems.
[40]
Jodie Ashford, Jordan J. Bird, Felipe P Campelo, Diego R. Faria . "
Classification of EEG Signals Based on Image Representation of Statistical Features
", UKCI'19: 19th Annual UK Workshop on Computational Intelligence, 2019.
[39]
Jordan J. Bird, Diego R. Faria , Aniko Ekart. "
Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network
", UKCI'19: 19th Annual UK Workshop on Computational Intelligence, 2019.
[38]
Jordan J. Bird, Elizabeth Wanner, Aniko Ekart, Diego R. Faria , "
Accent Classification in Human Speech Biometrics for Native and Non-native English Speaker
", ACM PETRA’19: PErvasive Technologies Related to Assistive Environments.
[37]
Jordan J. Bird, Elizabeth Wanner, Aniko Ekart, Diego R. Faria , "
Phoneme Aware Speech Recognition through Evolutionary Optimisation
", GECCO’19: The Genetic and Evolutionary Computation Conference, 2019.
[36]
Jordan J. Bird, Aniko Ekart, Christopher D. Buckingham, Diego R. Faria , "
High Resolution Sentiment Analysis by Ensemble Classification
", Computing Conference, London, 2019.
[35]
Jordan J. Bird, Aniko Ekart, Christopher D. Buckingham, Diego R. Faria , "
Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology
", Computing Conference, London, 2019.
[34]
Jordan J. Bird, Aniko Ekart, Christopher D. Buckingham, Diego R. Faria , "
Mental Emotional Sentiment Classification with an EEG-based Brain-Machine Interface
", International Conference on Digital Image & Signal Processing (DISP’19), Oxford, UK 2019.
[33]
Jordan J. Bird, Diego R. Faria , Luis J. Manso, Aniko Ekart,
"A Bioinspired Approach for Mental Emotional State Perception towards Social Awareness in Robotics
", UK-RAS Network Conference, Loughborough University, 2019.
[32]
Jordan J. Bird, Luis J. Manso, Eduardo P. Ribeiro, Aniko Ekart, Diego R. Faria , "
A Study on Mental State Classification using EEG-based Brain-Machine Interface
", 9th IEEE Interntional Conference on Intelligent Systems, 2018.
[31]
Hamid Golzadeh, Diego R. Faria , Aniko Ekart, Christopher B. Buckingham, "
Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks
", 9th IEEE Interntional Conference on Intelligent Systems, 2018.
[30]
Karen Tatarian, Micael S. Couceiro, Eduardo P. Ribeiro,
Diego
R. Faria
, "
Stepping-stones to Transhumanism: An EMG-controlled Low-cost Prosthetic Hand for Academia
", 9th IEEE Interntional Conference on
Intelligent Systems, 2018.
[29]
Gledson Melotti, Cristiano Premebida, Nuno Goncalves,
Urbano Nunes,
Diego
R. Faria
, "
Multimodal
CNN Pedestrian Recognition: A Study on Combining
LIDAR and Camera Data
", IEEE International Confonference on
Intelligent Transportation Systems, 2018.
[28]
Jordan J. Bird, Aniko Ekart,
Diego
R. Faria
. "
Learning
from Interation: An Intelligent Networked based
Human-bot and Bot-bot Chatbot System
",
UKCI'18: The 18th UK
Workshop on Comput. Intelligence, 2018.
[27]
Mahbub Hussain, Jordan J. Bird, Diego R. Faria
.
"
A Study on CNN Transfer Learning for Image
Classification
", UKCI'18: The 18th UK
Workshop on Comp. Intelligence, 2018.
[26]
Diego R. Faria, Fernanda C. C. Faria,
Cristiano
Premebida,
"
Towards Multimodal Affective
Expressions: Merging Facial Expressions and Body Motion into
Emotion
", IEEE RO-MAN'17: Workshop on Artificial
Perception, Machine Learning and Datasets for Human-Robot
Interaction (ARMADA 2017), Lisbon, Portugal, pp.16-20.
[25]
Diego R. Faria, Mario Vieira, Fernanda C. C.
Faria, Cristiano Premebida, "
Affective
Facial Expressions Recognition for Human-Robot Interaction
",
IEEE RO-MAN'17: IEEE International Symposium on Robot and
Human Interactive Communication, Lisbon, Portugal, 2017, pp.
805-810.
[24]
Claudio
Coppola, Serhan Cosar,
Diego R. Faria,
Nicola
Bellotto, "
Automatic Detection of Human Interactions from
RGB-D Data for Social Activity Classification
",
IEEE RO-MAN'17: IEEE International Symposium on Robot and
Human Interactive Communication, Lisbon, Portugal, 2017.
[23]
Diego R. Faria, Mario Vieira, Fernanda C. C.
Faria. "
Towards the Development of Affective Facial
Expression Recognition for Human-Robot Interaction
".
ACM PETRA'17: 10th International Conference on PErvasive
Technologies Related to Assistive Environments (NOTION: Human
Behaviour Monitoring, Interpretation and Understanding),
pp. 300-304
.
[22] 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
",
IEEE/RSJ
International Conference on Intelligent Robots and Systems,
IROS'16.
[21] U. M. Nunes,
D. R.
Faria
, P. Peixoto, "
Human Activity Recognition
using Max-Min Skeleton-based Features and Key Poses
",
IEEE RO-MAN'16: Workshop on Behavior Adaptation, Interaction and
Learning for Assistive Robotics (BAILAR), NY, USA, 2016.
[20] Cristiano Premebida,
Diego
R. Faria
, Francisco A.de Souza, Urbano Nunes. "
Applying
Probabilistic Mixture Models to Semantic Place Classification in
Mobile Robotics
". Proceedings of IEEE IROS'15: IEEE
International Conference on Intelligent Robots and Systems. Hamburg,
Germany, 2015.
[19]
Diego R. Faria
, Mario Vieira,
Cristiano Premebida, Urbano Nunes, "
Probabilistic Human
Daily Activity Recognition towards Robot-assisted Living
".
Proceedings of IEEE RO-MAN'15: IEEE International Symposium on Robot
and Human Interactive Communication. Kobe, Japan, August, 2015.
[18]
Mario Vieira, Diego R. Faria, Urbano Nunes, "
Real-time
Application for Monitoring Human Daily Activities and Risk
Situations in Robot-assisted Living
". Proceedings of
Robot'15: 2nd Iberian Robotics Conference. Lisbon, Portugal
2015.
[17]
Diego R. Faria
, Cristiano Premebida, Urbano
Nunes, "
A Probabilistic Approach for Human Everyday
Activities Recognition using Body Motion from RGB-D Images
".
Proceedings of IEEE RO-MAN'14: IEEE International Symposium on
Robot and Human Interactive Communication. Edinburgh-Scotland,
UK, August 25-29th, 2014. *
Finalist for Kazuo Tanie
Award
(focusing on practical application or one that
can be applied to real products) .
[16] Diego R. Faria, Jorge
Lobo, Jorge Dias, "
Identifying Objects from Hand
Configurations during In-hand Exploration
". In
proceedings of the 2012 IEEE International Conference on
Multisensor Fusion and Information Integration (IEEE MFI 2012),
pp. 132-137, Hamburg, September, 2012.
[15] Diego R. Faria, Ricardo
Martins, Jorge Lobo, Jorge Dias, "
A probabilistic
framework to detect suitable grasping regions on objects
".
In 10th IFAC Symposium on robot Control (SYROCO'12), pp.
247-252, Dubrovinik, Croatia, Sept, 2012.
[14] Ricardo Martins, Diego R. Faria,
Jorge Dias, "
Representation framework of perceived
object softness characteristics for active robotic hand
exploration
". In Proceedings of 7th ACM/IEEE HRI'2012
- Workshop on Advances in Tactile Sensing and Touch based
Human-Robot Interaction, Boston, USA, March 5-8, 2012.
[13] S. Jafar Hosseini, Diego R. Faria,
Jorge Lobo, Jorge Dias, "
Probabilistic Classification of
Grasping Behaviours using Visuo-hapitc Perception
".
In Proceeding of DoCEIS'12 (book chapter springer):
Technological Innovation for Value Creation, IFIP Advances in
Information and Communication Technology Volume 372, pp.
241-248, 2012.
[12] Diego R. Faria, Ricardo
Martins, Jorge Lobo, Jorge Dias, "
Manipulative Tasks
Identification by Learning and Generalizing Hand Motions
".
Proceedings of DoCEIS'11 (book chapter springer):
Technological Innovation for Sustainability, IFIP Advances in
Information and Communication Technology Volume 349, pp 173-180,
2011.
[11]
Diego R. Faria
, Ricardo Martins, Jorge Lobo,
Jorge Dias, "
Probabilistic Representation of 3D Object
Shape by In-Hand Exploration
". Proceedings of The
2010 IEEE/RSJ International Conference on Intelligent Robots and
Systems, IROS'10 - Taipei, Taiwan, pp. 1560 - 1565, October
2010.
[10] Diego R. Faria, Ricardo Martins, Jorge
Dias, "
Learning Motion Patterns from Multiple
Observations along the Action Phases of Manipulative Tasks
".
Proceedings of Workshop on Grasping Planning and Task Learning
by Imitation: IEEE/RSJ IROS'2010, - Taipei, Taiwan - October
2010.
[9] Ricardo Martins, Diego R. Faria,
Jorge Dias, "S
ymbolic Level Generalization of In-hand
Manipulation Tasks from Human Demonstrations using Tactile
Data Information
". Workshop on Grasping Planning and
Task Learning by Imitation: IEEE/RSJ IROS'2010, - Taipei, Taiwan
- October 2010.
[8] Diego R. Faria, Ricardo
Martins, Jorge Dias, "
Grasp Exploration for 3D Object
Shape Representation using Probabilistic Map
".
Proceedings of DoCEIS'10, (book chapter springer):
Emerging Trends in Technological Innovation, IFIP Advances in
Information and Communication Technology Volume 314, pp 215-222,
2010. - ISBN: 978-3-642-11627-8.
[7]
Diego R. Faria
, Jorge Dias, "
3D Hand
Trajectory Segmentation by Curvatures and Hand Orientation for
Classification through a Probabilistic Approach
". In
Proceedings of The 2009 IEEE/RSJ International Conference on
Intelligent Robots and Systems, IROS'09, St. Louis, MO, USA, pp
1284-1289 October 2009.
[6] Diego R. Faria, Jose
Prado, Paulo Drews Jr., Jorge Dias, "
Object Shape
Retrieval through Grasping Exploration
". In the 4th
European Conference on Mobile Robots, ECMR'09, Mlini/Dubrovnik,
Croatia, pp.43-48, September 2009 .
[5] Diego R. Faria, Hadi
Aliakbarpour, Jorge Dias, "
Grasping Movements
Recognition in 3D Space Using a Bayesian Approach
",
in Proceedings of ICAR'2009 - The 14th International Conference
on Advanced Robotics - Munich, Germany, June 22-26, 2009. Print
ISBN: 978-1-4244-4855-5.
[4] Diego R. Faria, Ricardo
Martins, Jorge Dias, "
Human reach-to-grasp
generalization strategies: a Bayesian approach
" -
Robotics Science and Systems Workshop 2009 "Understanding the
Human Hand for Advancing Robotic Manipulation" - July 28, 2009 -
Dillon Eng Seattle, WA, USA.
[3] Diego R. Faria, Jorge
Dias, "
Bayesian Techniques for Hand Trajectory
Classification
", RECPAD 2008 - 14th Portuguese
Conference on Pattern Recognition, Coimbra-Portgal, 31st
October, 2008.
[2] Diego R. Faria, Jorge
Dias, "
Hand Trajectory Segmentation and Classification
Using Bayesian Techniques
", Workshop on "Grasp and
Task Learning by Imitation" 2008 IEEE/RSJ International
Conference on Intelligent Robots and Systems, Acropolis
Convention Center, Nice, France Sept, 22-26, 2008,
pp.44-49.
[1] Carlos Simplicio, Diego R. Faria,
Jorge Dias, "
3D Photo-realistic talking head for
human-robot interaction
" - VR@P 2007 - (book chapter)
Virtual and Rapid Manufacturing – Bártolo et. Al. (eds), 2008
Taylor & Francis Group, London, UK, ISBN 13:
978-0-415-41602-3.
[T2] Ph.D. Thesis : Diego R. Faria, " Probabilistic Learning of Human Manipulation of Objects towards Autonomous Robotic Grasping ". Ph.D. in
Electrical and Computer Engineering. Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Coimbra , Portugal.
The research was carried
out at the Institute of Systems and Robotics, DEEC, University
of Coimbra.
Advisor: Prof. Jorge Miranda Dias, co-advisor: Jorge Lobo.
[T1] M.Sc. Dissertation : Diego R. Faria, " Reconhecimento de Impressões Digitais de Baixo Custo Computacional para um Sistema de Controle de Acesso ". Master in Computer Science: Department of Computer Science - Federal University of Parana - UFPR, Dec.2005. Supervisor: Prof. Eduardo Parente Riveiro - Delt-UFPR.
[j16] J. J. Bird, C. M. Barnes, C. Premebida, A. Ekárt, Diego R. Faria, "Country-level Pandemic Risk and Preparedness Classification based on COVID-19 data: A Machine Learning Approach" , PLOS One, 2020
[j15] Ahmad Lotfi, Amir Pourabdollah, Diego R. Faria, "Special issue on human behaviour monitoring, interpretation and understanding" , Journal of Ambient Intelligence and Humanized Computing, 2020
[j14] J. J . Bird, A. Ekart, D. R. Faria, "British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language" , Sensors, 2020.
[j13] J. J. Bird, J. Kobylarz, D. R. Faria, A. Ekárt, E. P. Ribeiro " Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG" , IEEE ACCESS, 2020.
[j12] J. J. Bird, E. F. Wanner , A. Ekárt, D. R. Faria, " Optimisation of Phonetic Aware Speech Recognition through Multi-objective Evolutionary Algorithms" , Expert Systems with Applications, Elsevier, 2020.
[j11] D. R. Faria, J. J. Bird, C. Daquana, J. Kobylarz, P. P. S. Ayrosa " Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit" , International Journal of Information and Education Technology, 2020 (to appear).
[j10] J. Kobylarz, J.J. Bird, D. R. Faria, E. P. Ribeiro, A. Ekárt, " 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, springer, 2020.
[j9] L. J. Manso, P. Nuñez, L. V. Calderita, D. R. Faria, P. Bachiller, " SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions" , Data MDPI 5(1) 7, 2020, pp 1-10.
[j8] J. J. Bird, A. Ekart, D. R. Faria, " On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing" , Soft Computing, Springer, 2019.
[j7] J. J. Bird, D. R. Faria, L. J. Manso, A. Ekart, C. D. Buckingham. " A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction" , Complexity, 2019. https://doi.org/10.1155/2019/4316548
[j6] C. Coppola, S. Cosar, D. R. Faria, N. Bellotto. " Social Activity Recognition from Continuous RGB-D Video Sequences" , Journal of Social Robotics, 2019.
[j5] U. M. Nunes, D. R. Faria, P. Peixoto. " A human activity recognition framework using max-min features and key poses with differential evolution
random
forests classifier
" Pattern Recognition Letters,
2017.
[
j4
]
C. Premebida,
D. R.
Faria,
U. Nunes. "
Dynamic Bayesian
Network for Semantic Place Classification in Mobile
Robotics
", AURO Springer: Autonomous Robotics,
2017.
[j3] J. Vital, D. R. Faria, G. Dias, M. Couceiro, F. Coutinho, N. Ferreira. " Combining Discriminative Spatio-Temporal Features for Daily Life
Activity
Recognition using Wearable Motion Sensing Suit
". PAA
Springer: Pattern Analysis and Applications, 2016.
[j2]
Diego R. Faria
,
Pedro Trindade, Jorge Lobo, Jorge Dias - "
Knowledge-based
Reasoning from Human Grasp Demonstrations for Robot
Grasp Synthesis". RAS Journal, Elsevier -
Robotics and Autonomous Systems, 2014.
[j1]
Diego
R. Faria
, Ricardo
Martins, Jorge Lobo, Jorge Dias. "
Extracting Data from
Human Manipulation of Objects Towards Improving
Autonomous Robotic Grasping". Robotics and
Autonomous Systems, Elsevier, Volume 60, Issue 3, Pages 396-410,
March 2012.
Book Chapters:
[
b2
]
D. R. Faria
, C. Premebida, Luis J. Manso, Eduardo P. Ribeiro, Pedro Nunez, "
Multimodal Bayesian Network
for Artificial Perception
",
Book Title: Bayesian Networks, ISBN -,
InTech, 2018, pp .
[
b1
]
C. Premebida, F. A. Souza,
D.
R. Faria
. "
Dynamic Bayesian Network
for Time Dependent Classification Problems in Robotics
",
Book Title: Bayesian Inference, ISBN 978-953-51-5472-3,
InTech, Ed. J. P. Tejedor, 2017, pp 299-310.
[51]
Christos Dolopikos, Michael Pritchard, Jordan J. Bird, Diego R. Faria , "
Electromyography Signal-based Gesture Recognition for Human-Machine Interaction in Real-Time through Model Calibration
", Future of Information and Communications Conference (FICC), 2021
[50]
Renato Arantes, George Vogiatzis, Diego R. Faria , "
CSC-GAN: Cycle and semantic consistency for dataset augmentation
", ISVC'20: International Symposium on Visual Computing, 2020.
[49]
Renato Arantes, George Vogiatzis, Diego R. Faria , "
rcGAN: Learning a generative model for arbitrary size image generation
", ISVC'20: International Symposium on Visual Computing, 2020.
[48]
Jordan J. Bird, Diego R. Faria , Cristiano Premebida, Aniko Ekart, George Vogiatzis, "
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines
", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'20), 2020.
[47]
Yingyi Kuang, Abraham Weinberg, George Vogiatzis, Diego R. Faria , "
Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning
", The 29th IEEE International Conference on Robot and Human Interactive Communication (ROMAN'20), 2020.
[46]
L. J. Manso, R. R. Jorvekar, Diego R. Faria , P. Bustos, P. Bachiller,"
Graph Neural Networks for Human-aware Social Navigation
", WAF2020: 21st International Workshop of Physical Agents, 2020
[45]
Yingyi Kuang, George Vogiatzis, Diego R. Faria , "
Improving exploration efficiency of single-goal in-hand manipulation reinforcement learning by Progressive Goal Generation
", IEEE RO-MAN HOBI Workshop (Hand-Object Interaction: From Human Demonstrations to Robot Manipulation), 2020.
[44]
G. Melotti, C. Premebida, J.J. Bird, D. R. Faria , N. Gonçalves, "
Probabilistic Object Classification using CNN ML-MAP layers
", ECCV 2020 Workshop on Perception for Autonomous Driving, 2020.
[43]
Jordan J. Bird, Diego R. Faria , Cristiano Premebida, Aniko Ekart, Pedro P. S. Ayrosa. "
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN
", 20th IEEE International Conference on Autonomous Robot Systems and Competitions (IEEE ICARSC'20).
[42]
Jordan J. Bird, Diego R. Faria , Aniko Ekart, Pedro P. S. Ayrosa. "
From Simulation to Reality: CNN Transfer Learning for Scene Classification
", 10th IEEE International Conference on Intelligent Systems IS’20, 2020.
[41]
Renato B. Arantes, George Vogiatzis, Diego R. Faria "
QuiltGAN: an adversarially trained, procedural algorithm for texture generation
", ICVS'19: 12th International Conference on Computer Vision Systems.
[40]
Jodie Ashford, Jordan J. Bird, Felipe P Campelo, Diego R. Faria . "
Classification of EEG Signals Based on Image Representation of Statistical Features
", UKCI'19: 19th Annual UK Workshop on Computational Intelligence, 2019.
[39]
Jordan J. Bird, Diego R. Faria , Aniko Ekart. "
Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network
", UKCI'19: 19th Annual UK Workshop on Computational Intelligence, 2019.
[38]
Jordan J. Bird, Elizabeth Wanner, Aniko Ekart, Diego R. Faria , "
Accent Classification in Human Speech Biometrics for Native and Non-native English Speaker
", ACM PETRA’19: PErvasive Technologies Related to Assistive Environments.
[37]
Jordan J. Bird, Elizabeth Wanner, Aniko Ekart, Diego R. Faria , "
Phoneme Aware Speech Recognition through Evolutionary Optimisation
", GECCO’19: The Genetic and Evolutionary Computation Conference, 2019.
[36]
Jordan J. Bird, Aniko Ekart, Christopher D. Buckingham, Diego R. Faria , "
High Resolution Sentiment Analysis by Ensemble Classification
", Computing Conference, London, 2019.
[35]
Jordan J. Bird, Aniko Ekart, Christopher D. Buckingham, Diego R. Faria , "
Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology
", Computing Conference, London, 2019.
[34]
Jordan J. Bird, Aniko Ekart, Christopher D. Buckingham, Diego R. Faria , "
Mental Emotional Sentiment Classification with an EEG-based Brain-Machine Interface
", International Conference on Digital Image & Signal Processing (DISP’19), Oxford, UK 2019.
[33]
Jordan J. Bird, Diego R. Faria , Luis J. Manso, Aniko Ekart,
"A Bioinspired Approach for Mental Emotional State Perception towards Social Awareness in Robotics
", UK-RAS Network Conference, Loughborough University, 2019.
[32]
Jordan J. Bird, Luis J. Manso, Eduardo P. Ribeiro, Aniko Ekart, Diego R. Faria , "
A Study on Mental State Classification using EEG-based Brain-Machine Interface
", 9th IEEE Interntional Conference on Intelligent Systems, 2018.
[31]
Hamid Golzadeh, Diego R. Faria , Aniko Ekart, Christopher B. Buckingham, "
Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks
", 9th IEEE Interntional Conference on Intelligent Systems, 2018.
[30]
Karen Tatarian, Micael S. Couceiro, Eduardo P. Ribeiro,
Diego
R. Faria
, "
Stepping-stones to Transhumanism: An EMG-controlled Low-cost Prosthetic Hand for Academia
", 9th IEEE Interntional Conference on
Intelligent Systems, 2018.
[29]
Gledson Melotti, Cristiano Premebida, Nuno Goncalves,
Urbano Nunes,
Diego
R. Faria
, "
Multimodal
CNN Pedestrian Recognition: A Study on Combining
LIDAR and Camera Data
", IEEE International Confonference on
Intelligent Transportation Systems, 2018.
[28]
Jordan J. Bird, Aniko Ekart,
Diego
R. Faria
. "
Learning
from Interation: An Intelligent Networked based
Human-bot and Bot-bot Chatbot System
",
UKCI'18: The 18th UK
Workshop on Comput. Intelligence, 2018.
[27]
Mahbub Hussain, Jordan J. Bird, Diego R. Faria
.
"
A Study on CNN Transfer Learning for Image
Classification
", UKCI'18: The 18th UK
Workshop on Comp. Intelligence, 2018.
[26]
Diego R. Faria, Fernanda C. C. Faria,
Cristiano
Premebida,
"
Towards Multimodal Affective
Expressions: Merging Facial Expressions and Body Motion into
Emotion
", IEEE RO-MAN'17: Workshop on Artificial
Perception, Machine Learning and Datasets for Human-Robot
Interaction (ARMADA 2017), Lisbon, Portugal, pp.16-20.
[25]
Diego R. Faria, Mario Vieira, Fernanda C. C.
Faria, Cristiano Premebida, "
Affective
Facial Expressions Recognition for Human-Robot Interaction
",
IEEE RO-MAN'17: IEEE International Symposium on Robot and
Human Interactive Communication, Lisbon, Portugal, 2017, pp.
805-810.
[24]
Claudio
Coppola, Serhan Cosar,
Diego R. Faria,
Nicola
Bellotto, "
Automatic Detection of Human Interactions from
RGB-D Data for Social Activity Classification
",
IEEE RO-MAN'17: IEEE International Symposium on Robot and
Human Interactive Communication, Lisbon, Portugal, 2017.
[23]
Diego R. Faria, Mario Vieira, Fernanda C. C.
Faria. "
Towards the Development of Affective Facial
Expression Recognition for Human-Robot Interaction
".
ACM PETRA'17: 10th International Conference on PErvasive
Technologies Related to Assistive Environments (NOTION: Human
Behaviour Monitoring, Interpretation and Understanding),
pp. 300-304
.
[22] 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
",
IEEE/RSJ
International Conference on Intelligent Robots and Systems,
IROS'16.
[21] U. M. Nunes,
D. R.
Faria
, P. Peixoto, "
Human Activity Recognition
using Max-Min Skeleton-based Features and Key Poses
",
IEEE RO-MAN'16: Workshop on Behavior Adaptation, Interaction and
Learning for Assistive Robotics (BAILAR), NY, USA, 2016.
[20] Cristiano Premebida,
Diego
R. Faria
, Francisco A.de Souza, Urbano Nunes. "
Applying
Probabilistic Mixture Models to Semantic Place Classification in
Mobile Robotics
". Proceedings of IEEE IROS'15: IEEE
International Conference on Intelligent Robots and Systems. Hamburg,
Germany, 2015.
[19]
Diego R. Faria
, Mario Vieira,
Cristiano Premebida, Urbano Nunes, "
Probabilistic Human
Daily Activity Recognition towards Robot-assisted Living
".
Proceedings of IEEE RO-MAN'15: IEEE International Symposium on Robot
and Human Interactive Communication. Kobe, Japan, August, 2015.
[18]
Mario Vieira, Diego R. Faria, Urbano Nunes, "
Real-time
Application for Monitoring Human Daily Activities and Risk
Situations in Robot-assisted Living
". Proceedings of
Robot'15: 2nd Iberian Robotics Conference. Lisbon, Portugal
2015.
[17]
Diego R. Faria
, Cristiano Premebida, Urbano
Nunes, "
A Probabilistic Approach for Human Everyday
Activities Recognition using Body Motion from RGB-D Images
".
Proceedings of IEEE RO-MAN'14: IEEE International Symposium on
Robot and Human Interactive Communication. Edinburgh-Scotland,
UK, August 25-29th, 2014. *
Finalist for Kazuo Tanie
Award
(focusing on practical application or one that
can be applied to real products) .
[16] Diego R. Faria, Jorge
Lobo, Jorge Dias, "
Identifying Objects from Hand
Configurations during In-hand Exploration
". In
proceedings of the 2012 IEEE International Conference on
Multisensor Fusion and Information Integration (IEEE MFI 2012),
pp. 132-137, Hamburg, September, 2012.
[15] Diego R. Faria, Ricardo
Martins, Jorge Lobo, Jorge Dias, "
A probabilistic
framework to detect suitable grasping regions on objects
".
In 10th IFAC Symposium on robot Control (SYROCO'12), pp.
247-252, Dubrovinik, Croatia, Sept, 2012.
[14] Ricardo Martins, Diego R. Faria,
Jorge Dias, "
Representation framework of perceived
object softness characteristics for active robotic hand
exploration
". In Proceedings of 7th ACM/IEEE HRI'2012
- Workshop on Advances in Tactile Sensing and Touch based
Human-Robot Interaction, Boston, USA, March 5-8, 2012.
[13] S. Jafar Hosseini, Diego R. Faria,
Jorge Lobo, Jorge Dias, "
Probabilistic Classification of
Grasping Behaviours using Visuo-hapitc Perception
".
In Proceeding of DoCEIS'12 (book chapter springer):
Technological Innovation for Value Creation, IFIP Advances in
Information and Communication Technology Volume 372, pp.
241-248, 2012.
[12] Diego R. Faria, Ricardo
Martins, Jorge Lobo, Jorge Dias, "
Manipulative Tasks
Identification by Learning and Generalizing Hand Motions
".
Proceedings of DoCEIS'11 (book chapter springer):
Technological Innovation for Sustainability, IFIP Advances in
Information and Communication Technology Volume 349, pp 173-180,
2011.
[11]
Diego R. Faria
, Ricardo Martins, Jorge Lobo,
Jorge Dias, "
Probabilistic Representation of 3D Object
Shape by In-Hand Exploration
". Proceedings of The
2010 IEEE/RSJ International Conference on Intelligent Robots and
Systems, IROS'10 - Taipei, Taiwan, pp. 1560 - 1565, October
2010.
[10] Diego R. Faria, Ricardo Martins, Jorge
Dias, "
Learning Motion Patterns from Multiple
Observations along the Action Phases of Manipulative Tasks
".
Proceedings of Workshop on Grasping Planning and Task Learning
by Imitation: IEEE/RSJ IROS'2010, - Taipei, Taiwan - October
2010.
[9] Ricardo Martins, Diego R. Faria,
Jorge Dias, "S
ymbolic Level Generalization of In-hand
Manipulation Tasks from Human Demonstrations using Tactile
Data Information
". Workshop on Grasping Planning and
Task Learning by Imitation: IEEE/RSJ IROS'2010, - Taipei, Taiwan
- October 2010.
[8] Diego R. Faria, Ricardo
Martins, Jorge Dias, "
Grasp Exploration for 3D Object
Shape Representation using Probabilistic Map
".
Proceedings of DoCEIS'10, (book chapter springer):
Emerging Trends in Technological Innovation, IFIP Advances in
Information and Communication Technology Volume 314, pp 215-222,
2010. - ISBN: 978-3-642-11627-8.
[7]
Diego R. Faria
, Jorge Dias, "
3D Hand
Trajectory Segmentation by Curvatures and Hand Orientation for
Classification through a Probabilistic Approach
". In
Proceedings of The 2009 IEEE/RSJ International Conference on
Intelligent Robots and Systems, IROS'09, St. Louis, MO, USA, pp
1284-1289 October 2009.
[6] Diego R. Faria, Jose
Prado, Paulo Drews Jr., Jorge Dias, "
Object Shape
Retrieval through Grasping Exploration
". In the 4th
European Conference on Mobile Robots, ECMR'09, Mlini/Dubrovnik,
Croatia, pp.43-48, September 2009 .
[5] Diego R. Faria, Hadi
Aliakbarpour, Jorge Dias, "
Grasping Movements
Recognition in 3D Space Using a Bayesian Approach
",
in Proceedings of ICAR'2009 - The 14th International Conference
on Advanced Robotics - Munich, Germany, June 22-26, 2009. Print
ISBN: 978-1-4244-4855-5.
[4] Diego R. Faria, Ricardo
Martins, Jorge Dias, "
Human reach-to-grasp
generalization strategies: a Bayesian approach
" -
Robotics Science and Systems Workshop 2009 "Understanding the
Human Hand for Advancing Robotic Manipulation" - July 28, 2009 -
Dillon Eng Seattle, WA, USA.
[3] Diego R. Faria, Jorge
Dias, "
Bayesian Techniques for Hand Trajectory
Classification
", RECPAD 2008 - 14th Portuguese
Conference on Pattern Recognition, Coimbra-Portgal, 31st
October, 2008.
[2] Diego R. Faria, Jorge
Dias, "
Hand Trajectory Segmentation and Classification
Using Bayesian Techniques
", Workshop on "Grasp and
Task Learning by Imitation" 2008 IEEE/RSJ International
Conference on Intelligent Robots and Systems, Acropolis
Convention Center, Nice, France Sept, 22-26, 2008,
pp.44-49.
[1] Carlos Simplicio, Diego R. Faria,
Jorge Dias, "
3D Photo-realistic talking head for
human-robot interaction
" - VR@P 2007 - (book chapter)
Virtual and Rapid Manufacturing – Bártolo et. Al. (eds), 2008
Taylor & Francis Group, London, UK, ISBN 13:
978-0-415-41602-3.