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A. Aldo Faisal
Person information
- affiliation: Imperial College London, UK
- affiliation (PhD 2006): University of Cambridge, UK
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2020 – today
- 2024
- [j10]Myura Nagendran, Paul Festor, Matthieu Komorowski, Anthony C. Gordon, Aldo A. Faisal:
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations. npj Digit. Medicine 7(1) (2024) - [c63]Asen Nachkov, Luchen Li
, Giulia Luise, Filippo Valdettaro
, A. Aldo Faisal
:
Bag of Policies for Distributional Deep Exploration. Epi UAI 2024: 28-43 - [c62]Filippo Valdettaro
, A. Aldo Faisal
:
Towards Offline Reinforcement Learning with Pessimistic Value Priors. Epi UAI 2024: 89-100 - [c61]Nat Wannawas, Clara Diaz-Pintado, Jyotindra Narayan, A. Aldo Faisal:
Controlling FES of arm movements using physics-informed reinforcement learning via co-kriging adjustment. ICRA 2024: 5555-5560 - [i51]Lauren Stumpf, Balasundaram Kadirvelu, Sigourney Waibel, A. Aldo Faisal:
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning. CoRR abs/2403.00854 (2024) - [i50]Filippo Valdettaro, A. Aldo Faisal:
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs. CoRR abs/2406.02456 (2024) - 2023
- [j9]Benjamin Post
, Cosmin Badea
, Aldo Faisal
, Stephen J. Brett
:
Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus. AI Ethics 3(4): 1215-1228 (2023) - [j8]Myura Nagendran, Paul Festor, Matthieu Komorowski, Anthony C. Gordon
, Aldo A. Faisal
:
Quantifying the impact of AI recommendations with explanations on prescription decision making. npj Digit. Medicine 6 (2023) - [c60]Federico Nardi, Shlomi Haar, A. Aldo Faisal
:
Bill-EVR: An Embodied Virtual Reality Framework for Reward-and-Error-Based Motor Rehab-Learning. ICORR 2023: 1-6 - [c59]Nat Wannawas, A. Aldo Faisal
:
Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning. ICORR 2023: 1-6 - [c58]Nat Wannawas, A. Aldo Faisal
:
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching. NER 2023: 1-4 - [c57]Nat Wannawas, A. Aldo Faisal
:
Towards AI-Controlled FES-Restoration of Arm Movements: Controlling for Progressive Muscular Fatigue with Gaussian State-Space Models. NER 2023: 1-4 - [c56]Xiaoxi Wei, A. Aldo Faisal
:
Federated deep transfer learning for EEG decoding using multiple BCI tasks. NER 2023: 1-4 - [c55]Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal:
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning. NeurIPS 2023 - [i49]Nat Wannawas, A. Aldo Faisal:
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching. CoRR abs/2301.04004 (2023) - [i48]Nat Wannawas, A. Aldo Faisal:
Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models. CoRR abs/2301.04005 (2023) - [i47]Nat Wannawas, A. Aldo Faisal:
Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning. CoRR abs/2303.09986 (2023) - [i46]Jinpei Han, Xiaoxi Wei, A. Aldo Faisal:
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks. CoRR abs/2306.13109 (2023) - [i45]Asen Nachkov, Luchen Li, Giulia Luise, Filippo Valdettaro, Aldo A. Faisal:
Bag of Policies for Distributional Deep Exploration. CoRR abs/2308.01759 (2023) - [i44]Nat Wannawas, A. Aldo Faisal:
Physics-informed reinforcement learning via probabilistic co-adjustment functions. CoRR abs/2309.05404 (2023) - [i43]Siyi Li, Arnaud Robert, A. Aldo Faisal, Matthew D. Piggott:
Learning to Optimise Wind Farms with Graph Transformers. CoRR abs/2311.12750 (2023) - 2022
- [j7]Kate Honeyford, Paul Expert
, E. E. Mendelsohn, Benjamin Post
, Aldo A. Faisal
, Ben Glampson, E. K. Mayer, Ceire Costelloe:
Challenges and recommendations for high quality research using electronic health records. Frontiers Digit. Health 4 (2022) - [i42]Paul Festor, Ali Shafti, Alex Harston, Mickey Li, Pavel Orlov, A. Aldo Faisal:
MIDAS: Deep learning human action intention prediction from natural eye movement patterns. CoRR abs/2201.09135 (2022) - [i41]Ali Shafti, Victoria Derks, Hannah Kay, A. Aldo Faisal:
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations. CoRR abs/2202.08979 (2022) - [i40]Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR abs/2202.12950 (2022) - [i39]Yiming Liu, Raz Leib, William Dudley, Ali Shafti, A. Aldo Faisal, David W. Franklin:
The role of haptic communication in dyadic collaborative object manipulation tasks. CoRR abs/2203.01287 (2022) - [i38]Benjamin Post, Cosmin Badea, Aldo Faisal, Stephen J. Brett:
Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus. CoRR abs/2207.01431 (2022) - [i37]Nat Wannawas, Ali Shafti, A. Aldo Faisal:
Neuromuscular Reinforcement Learning to Actuate Human Limbs through FES. CoRR abs/2209.07849 (2022) - [i36]Xiaoxi Wei, A. Aldo Faisal:
Federated deep transfer learning for EEG decoding using multiple BCI tasks. CoRR abs/2211.10976 (2022) - 2021
- [c54]Luchen Li, A. Aldo Faisal:
Bayesian Distributional Policy Gradients. AAAI 2021: 8429-8437 - [c53]Svenja Pieritz, Mohammed Khwaja, A. Aldo Faisal
, Aleksandar Matic:
Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing. CHI 2021: 537:1-537:12 - [c52]Xiaoxi Wei
, Pablo Ortega
, A. Aldo Faisal
:
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding. NER 2021: 21-24 - [c51]Mahendran Subramanian, Suhyung Park, Pavel Orlov, Ali Shafti, Aldo A. Faisal
:
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform. NER 2021: 335-338 - [c50]Nat Wannawas, Mahendran Subramanian, A. Aldo Faisal
:
Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling. NER 2021: 381-384 - [c49]Denghao Li, Pablo Ortega
, Xiaoxi Wei
, Aldo Faisal
:
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing. NER 2021: 527-530 - [c48]Pablo Ortega
, Tong Zhao, Aldo Faisal
:
Deep Real-Time Decoding of bimanual grip force from EEG & fNIRS. NER 2021: 714-717 - [c47]Pablo Ortega
, Aldo Faisal
:
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks. NER 2021: 718-721 - [c46]Ali Shafti, A. Aldo Faisal
:
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping. NER 2021: 872-875 - [c45]Xiaoxi Wei
, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig
, Konstantinos Barmpas
, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 2021: 205-219 - [c44]Paul Festor, Ibrahim Habli, Yan Jia, Anthony C. Gordon, A. Aldo Faisal
, Matthieu Komorowski
:
Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems. SAFECOMP Workshops 2021: 291-296 - [c43]Mohammed Khwaja, Svenja Pieritz, A. Aldo Faisal
, Aleksandar Matic:
Personality and Engagement with Digital Mental Health Interventions. UMAP 2021: 235-239 - [i35]Svenja Pieritz, Mohammed Khwaja, A. Aldo Faisal, Aleksandar Matic:
Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing. CoRR abs/2101.08375 (2021) - [i34]Ali Shafti, A. Aldo Faisal:
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping. CoRR abs/2102.12980 (2021) - [i33]Nat Wannawas, Mahendran Subramanian, A. Aldo Faisal:
Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling. CoRR abs/2103.03057 (2021) - [i32]Mahendran Subramanian, Suhyung Park, Pavel Orlov, Ali Shafti, A. Aldo Faisal:
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform. CoRR abs/2103.03072 (2021) - [i31]Pablo Ortega, Tong Zhao, Aldo Faisal:
CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces. CoRR abs/2103.05334 (2021) - [i30]Pablo Ortega, Aldo Faisal:
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks. CoRR abs/2103.05338 (2021) - [i29]Nat Wannawas, Ali Shafti, A. Aldo Faisal:
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation. CoRR abs/2103.05349 (2021) - [i28]Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal:
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding. CoRR abs/2103.05351 (2021) - [i27]Denghao Li, Pablo Ortega, Xiaoxi Wei, Aldo Faisal:
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing. CoRR abs/2103.08664 (2021) - [i26]Luchen Li, A. Aldo Faisal:
Bayesian Distributional Policy Gradients. CoRR abs/2103.11265 (2021) - [i25]Paul Festor, Giulia Luise, Matthieu Komorowski, A. Aldo Faisal:
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition. CoRR abs/2109.07827 (2021) - 2020
- [j6]Chaiyawan Auepanwiriyakul
, Sigourney Waibel
, Joanna Songa, Paul Bentley
, A. Aldo Faisal
:
Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches. Sensors 20(24): 7313 (2020) - [c42]Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal
:
Real-World Human-Robot Collaborative Reinforcement Learning. IROS 2020: 11161-11166 - [i24]Ali Shafti, Jonas Tjomsland, William Dudley, A. Aldo Faisal:
Real-World Human-Robot Collaborative Reinforcement Learning. CoRR abs/2003.01156 (2020) - [i23]Luchen Li, Ignacio Albert-Smet, Aldo A. Faisal:
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation. CoRR abs/2003.06474 (2020)
2010 – 2019
- 2019
- [j5]Mohammed Khwaja, Sumer S. Vaid, Sara Zannone, Gabriella M. Harari, A. Aldo Faisal
, Aleksandar Matic:
Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 88:1-88:24 (2019) - [c41]Mahendran Subramanian
, Noyan Songur, Darrell Adjei, Pavel Orlov, A. Aldo Faisal
:
A.Eye Drive: Gaze-based semi-autonomous wheelchair interface. EMBC 2019: 5967-5970 - [c40]Ali Shafti, Pavel Orlov, A. Aldo Faisal
:
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping. ICRA 2019: 863-869 - [c39]Benjamin Beyret, Ali Shafti, A. Aldo Faisal
:
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation. IROS 2019: 5014-5019 - [c38]Mohammed Khwaja, Miquel Ferrer, Jesus Omana Iglesias, A. Aldo Faisal
, Aleksandar Matic:
Aligning daily activities with personality: towards a recommender system for improving wellbeing. RecSys 2019: 368-372 - [i22]Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez:
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. CoRR abs/1901.04670 (2019) - [i21]Matthieu Komorowski, Leo A. Celi, Omar Badawi, Anthony C. Gordon, A. Aldo Faisal:
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care. CoRR abs/1903.02345 (2019) - [i20]Ekaterina Abramova, Luke Dickens, Daniel Kuhn, Aldo Faisal:
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems. CoRR abs/1903.03064 (2019) - [i19]Benjamin Beyret
, Ali Shafti, A. Aldo Faisal:
Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning. CoRR abs/1904.06703 (2019) - [i18]Luchen Li, Matthieu Komorowski, Aldo A. Faisal:
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs. CoRR abs/1905.07465 (2019) - [i17]Robert Tjarko Lange, Aldo Faisal:
Action Grammars: A Cognitive Model for Learning Temporal Abstractions. CoRR abs/1907.12477 (2019) - [i16]Mohammed Khwaja, Sumer S. Vaid, Sara Zannone, Gabriella M. Harari, A. Aldo Faisal, Aleksandar Matic:
Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models. CoRR abs/1908.04617 (2019) - [i15]Mohammed Khwaja, Miquel Ferrer, Jesus Omana Iglesias, A. Aldo Faisal, Aleksandar Matic:
Aligning Daily Activities with Personality: Towards A Recommender System for Improving Wellbeing. CoRR abs/1909.03847 (2019) - [i14]Alexander Makrigiorgos, Ali Shafti, Alex Harston, Julien Gerard, A. Aldo Faisal:
Human Visual Attention Prediction Boosts Learning & Performance of Autonomous Driving Agents. CoRR abs/1909.05003 (2019) - [i13]Petros Christodoulou, Robert Tjarko Lange, Ali Shafti, A. Aldo Faisal:
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions. CoRR abs/1910.02876 (2019) - [i12]Jonas Tjomsland, Ali Shafti, A. Aldo Faisal:
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions. CoRR abs/1912.01715 (2019) - 2018
- [c37]Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez:
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. AMIA 2018 - [c36]Pablo Ortega
, Cédric Colas, A. Aldo Faisal
:
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. BioRob 2018: 136-141 - [c35]Billy Woods, Mahendran Subramanian
, Ali Shafti, Aldo A. Faisal
:
Mecbanomyograpby Based Closed-Loop Functional Electrical Stimulation Cycling System. BioRob 2018: 179-184 - [c34]Mireia Ruiz Maymo, Ali Shafti, Aldo A. Faisal
:
Fast Orient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping. BioRob 2018: 207-212 - [c33]James Cunningham, Anita Hapsari, Pierre Guilleminot
, Ali Shafti, A. Aldo Faisal
:
The Supernumerary Robotic 3rd Thumb for Skilled Music Tasks. BioRob 2018: 665-670 - [c32]Chaiyawan Auepanwiriyakul, Alex Harston, Pavel Orlov, Ali Shafti, A. Aldo Faisal
:
Semantic fovea: real-time annotation of ego-centric videos with gaze context. ETRA 2018: 87:1-87:3 - [c31]Pavel Orlov, Ali Shafti, Chaiyawan Auepanwiriyakul, Noyan Songur, A. Aldo Faisal
:
A gaze-contingent intention decoding engine for human augmentation. ETRA 2018: 91:1-91:3 - [c30]Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill:
Representation Balancing MDPs for Off-policy Policy Evaluation. NeurIPS 2018: 2649-2658 - [i11]Thomas Teh, Chaiyawan Auepanwiriyakul, John Alexander Harston
, A. Aldo Faisal:
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph-toplogies. CoRR abs/1803.05419 (2018) - [i10]Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill:
Representation Balancing MDPs for Off-Policy Policy Evaluation. CoRR abs/1805.09044 (2018) - [i9]Luchen Li, Matthieu Komorowski, Aldo A. Faisal:
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making. CoRR abs/1805.11548 (2018) - [i8]Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez:
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR abs/1805.12298 (2018) - [i7]Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill:
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. CoRR abs/1807.01066 (2018) - [i6]James Cunningham, Anita Hapsari, Pierre Guilleminot, Ali Shafti, A. Aldo Faisal:
The Supernumerary Robotic 3rd Thumb for Skilled Music Tasks. CoRR abs/1807.08274 (2018) - [i5]Mireia Ruiz Maymo, Ali Shafti, A. Aldo Faisal:
FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping. CoRR abs/1807.08275 (2018) - [i4]Mickey Li, Noyan Songur, Pavel Orlov, Stefan Leutenegger, A. Aldo Faisal:
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos. CoRR abs/1807.10561 (2018) - [i3]Billy Woods, Mahendran Subramanian, Ali Shafti, A. Aldo Faisal:
Mechanomyography based closed-loop Functional Electrical Stimulation cycling system. CoRR abs/1807.11241 (2018) - [i2]Pablo Ortega, Cédric Colas, Aldo Faisal:
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. CoRR abs/1807.11752 (2018) - [i1]Ali Shafti, Pavel Orlov, A. Aldo Faisal:
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping. CoRR abs/1809.08095 (2018) - 2017
- [c29]Bernardo Noronha, Sabine Dziemian, Giuseppe A. Zito
, Charalambos Konnaris, A. Aldo Faisal
:
"Wink to grasp" - comparing eye, voice & EMG gesture control of grasp with soft-robotic gloves. ICORR 2017: 1043-1048 - [c28]Roni O. Maimon-Dror, Jorge Fernandez-Quesada, Giuseppe A. Zito
, Charalambos Konnaris, Sabine Dziemian, A. Aldo Faisal
:
Towards free 3D end-point control for robotic-assisted human reaching using binocular eye tracking. ICORR 2017: 1049-1054 - [e4]Antonio Pedotti, Luís Azevedo, Aldo Faisal:
Proceedings of the 5th International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2017, Funchal, Madeira, Portugal, October 30-31, 2017. SciTePress 2017, ISBN 978-989-758-270-7 [contents] - 2016
- [j4]Romy Lorenz
, Ricardo Pio Monti
, Inês R. Violante
, Christoforos Anagnostopoulos
, Aldo A. Faisal
, Giovanni Montana, Robert Leech
:
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129: 320-334 (2016) - [c27]Charalambos Konnaris, Constantinos Gavriel, Andreas A. C. Thomik, A. Aldo Faisal
:
EthoHand: A dexterous robotic hand with ball-joint thumb enables complex in-hand object manipulation. BioRob 2016: 1154-1159 - [c26]Sabine Dziemian, William W. Abbott, A. Aldo Faisal
:
Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing. BioRob 2016: 1277-1282 - [c25]Charalambos Konnaris, Andreas A. C. Thomik, A. Aldo Faisal
:
Sparse Eigenmotions derived from daily life kinematics implemented on a dextrous robotic hand. BioRob 2016: 1358-1363 - [c24]Feryal M. P. Behbahani, Guillem Singla-Buxarrais, A. Aldo Faisal
:
Haptic SLAM: An Ideal Observer Model for Bayesian Inference of Object Shape and Hand Pose from Contact Dynamics. EuroHaptics (1) 2016: 146-157 - [c23]Pablo M. Tostado, William W. Abbott, A. Aldo Faisal
:
3D gaze cursor: Continuous calibration and end-point grasp control of robotic actuators. ICRA 2016: 3295-3300 - [c22]Romy Lorenz
, Ricardo Pio Monti
, Adam Hampshire, Yury Koush
, Christoforos Anagnostopoulos
, Aldo A. Faisal
, David J. Sharp
, Giovanni Montana, Robert Leech
, Inês R. Violante:
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. PRNI 2016: 1-4 - [e3]Hermano Igo Krebs, Antonio Pedotti, Aldo Faisal:
Proceedings of the 4th International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2016, Porto, Portugal, November 7-8, 2016. SciTePress 2016, ISBN 978-989-758-204-2 [contents] - 2015
- [j3]Jovana Belic, A. Aldo Faisal
:
Decoding of human hand actions to handle missing limbs in neuroprosthetics. Frontiers Comput. Neurosci. 9: 27 (2015) - [c21]Constantinos Gavriel, Kim H. Parker, A. Aldo Faisal
:
Smartphone as an ultra-low cost medical tricorder for real-time cardiological measurements via ballistocardiography. BSN 2015: 1-6 - [c20]Constantinos Gavriel, Andreas A. C. Thomik, Pedro Rente Lourenço, Sathiji Nageshwaran, Stavros Athanasopoulos, Anastasia Sylaidi, Richard Festenstein, A. Aldo Faisal
:
Kinematic body sensor networks and behaviourmetrics for objective efficacy measurements in neurodegenerative disease drug trials. BSN 2015: 1-6 - [c19]Chin-Hsuan Lin
, A. Aldo Faisal
:
Robotic psychophysics system for assessment, diagnosis and rehabilitation of the neurological causes of falls in the elderly. EMBC 2015: 3731-3734 - [c18]Andrea Ferrante, Constantinos Gavriel, Aldo Faisal
:
Towards a brain-derived neurofeedback framework for unsupervised personalisation of Brain-Computer Interfaces. NER 2015: 162-165 - [c17]Sofia Ira Ktena
, William W. Abbott, A. Aldo Faisal:
A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving. NER 2015: 236-239 - [c16]Constantinos Gavriel, Andreas A. C. Thomik, Pedro Rente Lourenço, Sathiji Nageshwaran, Stavros Athanasopoulos, Anastasia Sylaidi, Richard Festenstein, A. Aldo Faisal
:
Towards neurobehavioral biomarkers for longitudinal monitoring of neurodegeneration with wearable body sensor networks. NER 2015: 348-351 - [c15]Yufei Wu, A. Aldo Faisal
:
Towards an integrative spiking neuron model of motor control - from cortex & basal ganglia to muscles & sensory feedback. NER 2015: 378-381 - [c14]Michele Xiloyannis
, Constantinos Gavriel, Andreas A. C. Thomik, A. Aldo Faisal
:
Dynamic forward prediction for prosthetic hand control by integration of EMG, MMG and kinematic signals. NER 2015: 611-614 - [c13]Michele Xiloyannis
, Constantinos Gavriel, Andreas A. C. Thomik, A. Aldo Faisal
:
Gaussian Process Regression for accurate prediction of prosthetic limb movements from the natural kinematics of intact limbs. NER 2015: 659-662 - [c12]Feryal M. P. Behbahani, Ruth Taunton, Andreas A. C. Thomik, A. Aldo Faisal
:
Haptic SLAM for context-aware robotic hand prosthetics - simultaneous inference of hand pose and object shape using particle filters. NER 2015: 719-722 - [c11]Andreas A. C. Thomik, Sonja Fenske, A. Aldo Faisal
:
Towards sparse coding of natural movements for neuroprosthetics and brain-machine interfaces. NER 2015: 938-941 - [c10]Andrea Ferrante, Constantinos Gavriel, Aldo Faisal
:
Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets & Common Spatial Pattern algorithms. NER 2015: 948-951 - [c9]Anastasia Sylaidi, Pedro Rente Lourenço, Sathiji Nageshwaran, Chin-Hsuan Lin
, Marisol Rodriguez, Richard Festenstein, A. Aldo Faisal
:
f2MOVE: fMRI-compatible haptic object manipulation system for closed-loop motor control studies. NER 2015: 1104-1107 - [e2]Yike Guo, Karl J. Friston
, A. Aldo Faisal
, Sean L. Hill, Hanchuan Peng:
Brain Informatics and Health - 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings. Lecture Notes in Computer Science 9250, Springer 2015, ISBN 978-3-319-23343-7 [contents] - [e1]Aldo Faisal, Hermano Igo Krebs, Antonio Pedotti:
Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2015, Lisbon, Portugal, November 16-17, 2015. SciTePress 2015, ISBN 978-989-758-161-8 [contents] - 2014
- [j2]Ali Neishabouri
, A. Aldo Faisal
:
Axonal Noise as a Source of Synaptic Variability. PLoS Comput. Biol. 10(5) (2014) - [c8]Salvatore Fara, Constantinos Gavriel, Chandra Sen Vikram, A. Aldo Faisal
:
Prediction of Arm End-Point Force Using Multi-channel MMG. BSN 2014: 27-32 - [c7]Constantinos Gavriel, A. Aldo Faisal
:
A Comparison of Day-Long Recording Stability and Muscle Force Prediction between BSN-Based Mechanomyography and Electromyography. BSN 2014: 69-74 - [c6]David Haber, Andreas A. C. Thomik, A. Aldo Faisal
:
Unsupervised Time Series Segmentation for High-Dimensional Body Sensor Network Data Streams. BSN 2014: 121-126 - [c5]Marisol Rodriguez-Ugarte, Anastasia Sylaidi, A. Aldo Faisal
:
Developing a Novel fMRI-Compatible Motion Tracking System for Haptic Motor Control Experiments. NEUROTECHNIX 2014: 25-30 - [c4]Pedro Rente Lourenço, William W. Abbott, A. Aldo Faisal
:
EEG and Eye-Tracking Integration for Ocular Artefact Correction. NEUROTECHNIX 2014: 79-86 - 2013
- [c3]Alexandre P. Vicente, A. Aldo Faisal
:
Calibration of kinematic body sensor networks: Kinect-based gauging of data gloves "in the wild". BSN 2013: 1-6 - 2011
- [c2]Ekaterina Abramova, Aldo Faisal, Daniel Kuhn:
Combining Markov Decision Processes with Linear Optimal Controllers. ICCSW 2011: 3-9
2000 – 2009
- 2007
- [j1]A. Aldo Faisal
, Simon B. Laughlin
:
Stochastic Simulations on the Reliability of Action Potential Propagation in Thin Axons. PLoS Comput. Biol. 3(5) (2007) - 2006
- [c1]A. Aldo Faisal
, Jeremy E. Niven:
A Simple Method to Simultaneously Track the Numbers of Expressed Channel Proteins in a Neuron. CompLife 2006: 257-267
Coauthor Index
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