Journal Papers

[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.

 

 

  Refereed International Conference and Workshop Papers

[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.

 

  Theses: M.Sc. 2005 / Ph.D. 2014

[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.

 

  Journal Papers

 

[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.

 

 

Refereed International Conference and Workshop Papers

[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.