Deniz Erdogmus

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Northeastern University

https://web.northeastern.edu/deniz/

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Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach

A deep neural network (DNN) that can reliably model muscle responses fro...
02/14/2020 ∙ by Md Navid Akbar, et al. ∙ 23 ∙ share

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Structured Adversarial Attack: Towards General Implementation and Better Interpretability

When generating adversarial examples to attack deep neural networks (DNN...
08/05/2018 ∙ by Kaidi Xu, et al. ∙ 16 ∙ share

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Disentangled Adversarial Transfer Learning for Physiological Biosignals

Recent developments in wearable sensors demonstrate promising results fo...
04/15/2020 ∙ by Mo Han, et al. ∙ 8 ∙ share

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Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence

Recursive Bayesian inference (RBI) provides optimal Bayesian latent vari...
04/07/2020 ∙ by Yeganeh M. Marghi, et al. ∙ 4 ∙ share

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Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning

Brain segmentation is a fundamental first step in neuroimage analysis. I...
10/25/2017 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙ 0 ∙ share

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Tversky loss function for image segmentation using 3D fully convolutional deep networks

Fully convolutional deep neural networks carry out excellent potential f...
06/18/2017 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙ 0 ∙ share

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Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

Brain extraction or whole brain segmentation is an important first step ...
03/06/2017 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙ 0 ∙ share

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Asymptotic Analysis of Objectives based on Fisher Information in Active Learning

Obtaining labels can be costly and time-consuming. Active learning allow...
05/27/2016 ∙ by Jamshid Sourati, et al. ∙ 0 ∙ share

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Manifold unwrapping using density ridges

Research on manifold learning within a density ridge estimation framewor...
04/06/2016 ∙ by Jonas Nordhaug Myhre, et al. ∙ 0 ∙ share

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Real-time Deep Registration With Geodesic Loss

With an aim to increase the capture range and accelerate the performance...
03/15/2018 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙ 0 ∙ share

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Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks

Fully convolutional deep neural networks have been asserted to be fast a...
03/28/2018 ∙ by Seyed Raein Hashemi, et al. ∙ 0 ∙ share

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Invariant Representations from Adversarially Censored Autoencoders

We combine conditional variational autoencoders (VAE) with adversarial c...
05/21/2018 ∙ by Ye Wang, et al. ∙ 0 ∙ share

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Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces

We present a novel hierarchical graphical model based context-aware hybr...
09/15/2018 ∙ by Ozan Özdenizci, et al. ∙ 0 ∙ share

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Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals

It has been suggested that changes in physiological arousal precede pote...
09/15/2018 ∙ by Ozan Özdenizci, et al. ∙ 0 ∙ share

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Accelerated Experimental Design for Pairwise Comparisons

Pairwise comparison labels are more informative and less variable than c...
01/18/2019 ∙ by Yuan Guo, et al. ∙ 0 ∙ share

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Information Theoretic Feature Transformation Learning for Brain Interfaces

Objective: A variety of pattern analysis techniques for model training i...
03/28/2019 ∙ by Ozan Özdenizci, et al. ∙ 0 ∙ share

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Adversarial Deep Learning in EEG Biometrics

Deep learning methods for person identification based on electroencephal...
03/27/2019 ∙ by Ozan Özdenizci, et al. ∙ 0 ∙ share

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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders

We introduce adversarial neural networks for representation learning as ...
12/17/2018 ∙ by Ozan Özdenizci, et al. ∙ 0 ∙ share

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Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects

Across- and within-recording variabilities in electroencephalographic (E...
07/22/2019 ∙ by Ozan Özdenizci, et al. ∙ 0 ∙ share

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User-Adaptive Text Entry for Augmentative and Alternative Communication

The viability of an Augmentative and Alternative Communication device of...
10/02/2019 ∙ by Matt Higger, et al. ∙ 0 ∙ share

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Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI

Post-traumatic epilepsy (PTE) is a life-long complication of traumatic b...
04/30/2020 ∙ by Md Navid Akbar, et al. ∙ 0 ∙ share

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