A. Aldo Faisal
Orcid: 0000-0003-0813-7207Affiliations:
- Imperial College London, UK
- University of Cambridge, UK (PhD 2006)
According to our database1,
A. Aldo Faisal
authored at least 99 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning.
CoRR, 2024
2023
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, November, 2023
Quantifying the impact of AI recommendations with explanations on prescription decision making.
npj Digit. Medicine, 2023
CoRR, 2023
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks.
CoRR, 2023
Towards AI-controlled FES-restoration of movements: Learning cycling stimulation pattern with reinforcement learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Towards AI-Controlled FES-Restoration of Arm Movements: Controlling for Progressive Muscular Fatigue with Gaussian State-Space Models.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Towards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Towards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning.
Proceedings of the International Conference on Rehabilitation Robotics, 2023
Bill-EVR: An Embodied Virtual Reality Framework for Reward-and-Error-Based Motor Rehab-Learning.
Proceedings of the International Conference on Rehabilitation Robotics, 2023
2022
Challenges and recommendations for high quality research using electronic health records.
Frontiers Digit. Health, 2022
CoRR, 2022
CoRR, 2022
MIDAS: Deep learning human action intention prediction from natural eye movement patterns.
CoRR, 2022
2021
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition.
CoRR, 2021
I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation.
CoRR, 2021
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, 2021
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches.
Sensors, 2020
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation.
CoRR, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
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., 2019
Human-Robot Collaboration via Deep Reinforcement Learning of Real-World Interactions.
CoRR, 2019
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions.
CoRR, 2019
Human Visual Attention Prediction Boosts Learning & Performance of Autonomous Driving Agents.
CoRR, 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs.
CoRR, 2019
Dot-to-Dot: Achieving Structured Robotic Manipulation through Hierarchical Reinforcement Learning.
CoRR, 2019
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems.
CoRR, 2019
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care.
CoRR, 2019
Aligning daily activities with personality: towards a recommender system for improving wellbeing.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
CoRR, 2018
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos.
CoRR, 2018
FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping.
CoRR, 2018
CoRR, 2018
CoRR, 2018
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making.
CoRR, 2018
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph-toplogies.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Fast Orient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.
Proceedings of the AMIA 2018, 2018
2017
"Wink to grasp" - comparing eye, voice & EMG gesture control of grasp with soft-robotic gloves.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
Towards free 3D end-point control for robotic-assisted human reaching using binocular eye tracking.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
2016
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI.
NeuroImage, 2016
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
3D gaze cursor: Continuous calibration and end-point grasp control of robotic actuators.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Haptic SLAM: An Ideal Observer Model for Bayesian Inference of Object Shape and Hand Pose from Contact Dynamics.
Proceedings of the Haptics: Perception, Devices, Control, and Applications, 2016
Sparse Eigenmotions derived from daily life kinematics implemented on a dextrous robotic hand.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
EthoHand: A dexterous robotic hand with ball-joint thumb enables complex in-hand object manipulation.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
2015
Frontiers Comput. Neurosci., 2015
Gaussian Process Regression for accurate prediction of prosthetic limb movements from the natural kinematics of intact limbs.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Dynamic forward prediction for prosthetic hand control by integration of EMG, MMG and kinematic signals.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Towards an integrative spiking neuron model of motor control - from cortex & basal ganglia to muscles & sensory feedback.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Towards sparse coding of natural movements for neuroprosthetics and brain-machine interfaces.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
f2MOVE: fMRI-compatible haptic object manipulation system for closed-loop motor control studies.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Towards neurobehavioral biomarkers for longitudinal monitoring of neurodegeneration with wearable body sensor networks.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets & Common Spatial Pattern algorithms.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Towards a brain-derived neurofeedback framework for unsupervised personalisation of Brain-Computer Interfaces.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Haptic SLAM for context-aware robotic hand prosthetics - simultaneous inference of hand pose and object shape using particle filters.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Robotic psychophysics system for assessment, diagnosis and rehabilitation of the neurological causes of falls in the elderly.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Kinematic body sensor networks and behaviourmetrics for objective efficacy measurements in neurodegenerative disease drug trials.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015
Smartphone as an ultra-low cost medical tricorder for real-time cardiological measurements via ballistocardiography.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015
2014
Developing a Novel fMRI-Compatible Motion Tracking System for Haptic Motor Control Experiments.
Proceedings of the 2nd International Congress on Neurotechnology, 2014
Proceedings of the 2nd International Congress on Neurotechnology, 2014
Unsupervised Time Series Segmentation for High-Dimensional Body Sensor Network Data Streams.
Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks, 2014
A Comparison of Day-Long Recording Stability and Muscle Force Prediction between BSN-Based Mechanomyography and Electromyography.
Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks, 2014
Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks, 2014
2013
Calibration of kinematic body sensor networks: Kinect-based gauging of data gloves "in the wild".
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013
2011
Proceedings of the 2011 Imperial College Computing Student Workshop, 2011
2007
Stochastic Simulations on the Reliability of Action Potential Propagation in Thin Axons.
PLoS Comput. Biol., 2007
2006
A Simple Method to Simultaneously Track the Numbers of Expressed Channel Proteins in a Neuron.
Proceedings of the Computational Life Sciences II, 2006