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Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection

Neural computation, 2021-03, Vol.33 (3), p.802-826

2021

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Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion

PloS one, 2018-10, Vol.13 (10), p.e0204819-e0204819

2018

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Deep embeddings for novelty detection in myopathy

Computers in biology and medicine, 2019-02, Vol.105, p.46-53

2019

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Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions

International journal of control, 2008-08, Vol.81 (8), p.1232-1238

2008

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Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.11499-11508

2019

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Distributed Consensus on Camera Pose

IEEE transactions on image processing, 2010-09, Vol.19 (9), p.2396-2407

2010

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Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?

2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, p.1380-1389

2023

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Conformal predictors for online track classification

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.2922-2926

2014

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Learning a Group-Aware Policy for Robot Navigation

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.11328-11335

2022

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Local distance metric learning for efficient conformal predictors

2012 IEEE International Workshop on Machine Learning for Signal Processing, 2012, p.1-6

2012

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A practical test set bound for rank learning

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2013, p.1-6

2013

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Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation

Artificial Intelligence in HCI, p.353-368

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Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, p.490-491

2017

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Bayesian model selection for mining mass spectrometry data

Neural networks, 2005-07, Vol.18 (5), p.843-849

2005

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Adversarial examples in remote sensing

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018, p.408-411

2018

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Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks

Computer Vision – ECCV 2020 Workshops, p.105-119

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Monotone Optimal Policies for a Transient Queueing Staffing Problem

Operations research, 2000-03, Vol.48 (2), p.327-331

2000

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Energy-efficient sensor management in multi-static active sonar networks

2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008, p.1611-1616

2008

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Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences

ACM transactions on modeling and computer simulation, 2003-04, Vol.13 (2), p.180-209

2003

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Target localization in camera wireless networks

Pervasive and mobile computing, 2009-04, Vol.5 (2), p.165-181

2009

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Zero Shot Deep Learning from Semantic Attributes

2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015, p.871-876

2015

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A macroeconomic model for resource allocation in large-scale distributed systems

Journal of parallel and distributed computing, 2008-02, Vol.68 (2), p.182-199

2008

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Out-of-Distribution Robustness with Deep Recursive Filters

2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, p.14134-14140

2021

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Noise conditions for prespecified convergence rates of stochastic approximation algorithms

IEEE transactions on information theory, 1999-03, Vol.45 (2), p.810-814

1999

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A hybrid Branch-and-Bound and evolutionary approach for allocating strings of applications to heterogeneous distributed computing systems

Journal of parallel and distributed computing, 2008-04, Vol.68 (4), p.410-426

2008

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Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection

Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion

Deep embeddings for novelty detection in myopathy

Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions

Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection

Distributed Consensus on Camera Pose

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?

Conformal predictors for online track classification

Learning a Group-Aware Policy for Robot Navigation

Local distance metric learning for efficient conformal predictors

A practical test set bound for rank learning

Prediction-Based Uncertainty Estimation for Adaptive Crowd Navigation

Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks

Bayesian model selection for mining mass spectrometry data

Adversarial examples in remote sensing

Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks

Monotone Optimal Policies for a Transient Queueing Staffing Problem

Energy-efficient sensor management in multi-static active sonar networks

Two-timescale simultaneous perturbation stochastic approximation using deterministic perturbation sequences

Target localization in camera wireless networks

Zero Shot Deep Learning from Semantic Attributes

A macroeconomic model for resource allocation in large-scale distributed systems

Out-of-Distribution Robustness with Deep Recursive Filters

Noise conditions for prespecified convergence rates of stochastic approximation algorithms

A hybrid Branch-and-Bound and evolutionary approach for allocating strings of applications to heterogeneous distributed computing systems

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