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2020 – today
- 2024
[i12]Abraham Itzhak Weinberg, Cristiano Premebida, Diego Resende Faria:
Causality from Bottom to Top: A Survey. CoRR abs/2403.11219 (2024)- 2023
- [j20]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): 3129-3144 (2023) - 2022
- [j19]Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Reducing Overconfidence Predictions in Autonomous Driving Perception. IEEE Access 10: 54805-54821 (2022) - [j18]Renato Barros Arantes, George Vogiatzis, Diego R. Faria:
Learning an augmentation strategy for sparse datasets. Image Vis. Comput. 117: 104338 (2022) - [j17]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): 3277-3295 (2022) - [i11]Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Reducing Overconfidence Predictions for Autonomous Driving Perception. CoRR abs/2202.07825 (2022) - 2021
- [j16]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) - [j15]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): 3498-3504 (2021) - [i10]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 abs/2102.08863 (2021) - [i9]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 abs/2104.05647 (2021) - 2020
- [j14]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: 54789-54801 (2020) - [j13]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): 7 (2020) - [j12]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: 113402 (2020) - [j11]Claudio Coppola, Serhan Cosar, Diego R. Faria, Nicola Bellotto:
Social Activity Recognition on Continuous RGB-D Video Sequences. Int. J. Soc. Robotics 12(1): 201-215 (2020) - [j10]Ahmad Lotfi, Amir Pourabdollah, Diego Resende Faria:
Special issue on human behaviour monitoring, interpretation and understanding. J. Ambient Intell. Humaniz. Comput. 11(12): 5943-5945 (2020) - [j9]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): 6021-6031 (2020) - [j8]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): 5151 (2020) - [j7]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): 9243-9256 (2020) - [c35]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: 146-151 - [c34]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: 10380-10385 - [c33]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: 619-625 - [c32]Renato Barros Arantes, George Vogiatzis, Diego R. Faria:
rcGAN: Learning a Generative Model for Arbitrary Size Image Generation. ISVC (1) 2020: 80-94 - [c31]Renato Barros Arantes, George Vogiatzis, Diego R. Faria:
CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation. ISVC (1) 2020: 170-181 - [c30]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: 432-437 - [c29]Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria, Pablo Bustos, Pilar Bachiller:
Graph Neural Networks for Human-Aware Social Navigation. WAF 2020: 167-179 - [i8]Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Probabilistic Object Classification using CNN ML-MAP layers. CoRR abs/2005.14565 (2020) - [i7]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 abs/2007.00659 (2020) - [i6]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 abs/2007.10175 (2020) - [i5]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 abs/2010.05990 (2020)
2010 – 2019
- 2019
- [j6]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: 4316548:1-4316548:14 (2019) - [c28]Jordan J. Bird, Elizabeth F. Wanner, Anikó Ekárt, Diego R. Faria:
Phoneme aware speech recognition through evolutionary optimisation. GECCO (Companion) 2019: 362-363 - [c27]Renato Barros Arantes, George Vogiatzis, Diego R. Faria:
QuiltGAN: An Adversarially Trained, Procedural Algorithm for Texture Generation. ICVS 2019: 423-432 - [c26]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: 554-560 - [c25]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: 271-282 - [c24]Jodie Ashford, Jordan J. Bird, Felipe Campelo, Diego R. Faria:
Classification of EEG Signals Based on Image Representation of Statistical Features. UKCI 2019: 449-460 - [i4]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 abs/1908.04784 (2019) - [i3]Luis J. Manso, Pedro Núñez, Luis V. Calderita, Diego R. Faria, Pilar Bachiller:
SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions. CoRR abs/1909.02993 (2019) - [i2]Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria, Pablo Bustos, Pilar Bachiller:
Graph Neural Networks for Human-aware Social Navigation. CoRR abs/1909.09003 (2019) - [i1]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing. CoRR abs/1910.04701 (2019) - 2018
- [c23]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: 789-794 - [c22]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: 795-800 - [c21]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: 807-812 - [c20]Gledson Melotti, Cristiano Premebida, Nuno Gonçalves, Urbano José C. Nunes, Diego R. Faria:
Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. ITSC 2018: 3138-3143 - [c19]Jordan J. Bird, Anikó Ekárt, Diego R. Faria:
Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. UKCI 2018: 179-190 - [c18]Mahbub Hussain, Jordan J. Bird, Diego R. Faria:
A Study on CNN Transfer Learning for Image Classification. UKCI 2018: 191-202 - 2017
- [j5]Cristiano Premebida, Diego R. Faria, Urbano Nunes:
Dynamic Bayesian network for semantic place classification in mobile robotics. Auton. Robots 41(5): 1161-1172 (2017) - [j4]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): 1179-1194 (2017) - [j3]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: 21-31 (2017) - [c17]Diego Resende Faria, Mario Vieira, Fernanda C. C. Faria:
Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction. PETRA 2017: 300-304 - [c16]Diego R. Faria, Mario Vieira, Fernanda C. C. Faria, Cristiano Premebida:
Affective facial expressions recognition for human-robot interaction. RO-MAN 2017: 805-810 - [c15]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: 871-876 - 2016
- [c14]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: 5055-5061 - 2015
- [c13]Cristiano Premebida, Diego R. Faria, Francisco A. Souza, Urbano Nunes:
Applying probabilistic Mixture Models to semantic place classification in mobile robotics. IROS 2015: 4265-4270 - [c12]Diego R. Faria, Mario Vieira, Cristiano Premebida, Urbano Nunes:
Probabilistic human daily activity recognition towards robot-assisted living. RO-MAN 2015: 582-587 - [c11]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: 449-461 - 2014
- [j2]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): 794-817 (2014) - [c10]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: 732-737 - 2012
- [j1]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): 396-410 (2012) - [c9]S. Jafar Hosseini, Diego R. Faria, Jorge Lobo, Jorge Dias:
Probabilistic Classification of Grasping Behaviours Using Visuo-Haptic Perception. DoCEIS 2012: 241-248 - [c8]Diego R. Faria, Jorge Lobo, Jorge Dias:
Identifying objects from hand configurations during in-hand exploration. MFI 2012: 132-137 - [c7]Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias:
A Probabilistic Framework to Detect Suitable Grasping Regions on Objects. SyRoCo 2012: 247-252 - 2011
- [c6]Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias:
Manipulative Tasks Identification by Learning and Generalizing Hand Motions. DoCEIS 2011: 173-180 - 2010
- [c5]Diego R. Faria, Ricardo Martins, Jorge Dias:
Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map. DoCEIS 2010: 215-222 - [c4]Diego R. Faria, Ricardo Martins, Jorge Lobo, Jorge Dias:
Probabilistic representation of 3D object shape by in-hand exploration. IROS 2010: 1560-1565
2000 – 2009
- 2009
- [c3]Diego R. Faria, José Augusto Prado, Paulo Drews Jr., Jorge Dias:
Object Shape Retrieval through Grasp Exploration. ECMR 2009: 43-48 - [c2]Diego R. Faria, Hadi Aliakbarpour, Jorge Dias:
Grasping movements recognition in 3D space using a Bayesian approach. ICAR 2009: 1-6 - [c1]Diego R. Faria, Jorge Dias:
3D hand trajectory segmentation by curvatures and hand orientation for classification through a probabilistic approach. IROS 2009: 1284-1289
Coauthor Index
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last updated on 2024-05-15 21:34 CEST by the dblp team
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