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On the Sample Complexity of Rank Regression from Pairwise Comparisons


May 04, 2021
Berkan Kadioglu, Peng Tian, Jennifer Dy, Deniz Erdogmus, Stratis Ioannidis


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Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks


May 01, 2021
Ozan Ozdenizci, Deniz Erdogmus

* Accepted for publication at Elsevier - Information Sciences 

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End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning


Apr 26, 2021
Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir

* ICRA 2021 Camera-ready version. Source code available at https://github.com/sharif1093/dextron 

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Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion


Apr 19, 2021
Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus


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Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control


Apr 08, 2021
Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Gunay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks


Mar 05, 2021
Ozan Ozdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akcakaya

* Accepted for publication at Biomedical Signal Processing and Control 

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On the use of generative deep neural networks to synthesize artificial multichannel EEG signals


Feb 16, 2021
Ozan Ozdenizci, Deniz Erdogmus

* 10th International IEEE EMBS Conference on Neural Engineering (NER'21) 

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NetCut: Real-Time DNN Inference Using Layer Removal


Jan 13, 2021
Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner


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Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand


Jan 13, 2021
Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner

* CyPhy 2019, WESE 2019. Lecture Notes in Computer Science, vol 11971. Springer, Cham 

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Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders


Sep 28, 2020
Mo Han, Ozan Ozdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

* 8 pages 

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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction


Aug 26, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* IEEE Signal Processing Letters, 2020 
* Accepted for publication by IEEE Signal Processing Letters 

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Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry


Jul 30, 2020
Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus


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AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis


Jul 02, 2020
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

* 18 pages, 6 figures 

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Disentangled Adversarial Transfer Learning for Physiological Biosignals


Apr 15, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) 

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


Apr 07, 2020
Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus

* 13 pages, 10 figures, 1 table 

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


Jul 22, 2019
Ozan Ozdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus

* 8th Graz Brain-Computer Interface Conference 2019 

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Information Theoretic Feature Transformation Learning for Brain Interfaces


Apr 05, 2019
Ozan Ozdenizci, Deniz Erdogmus

* IEEE Transactions on Biomedical Engineering, 2019 
* Accepted for publication by IEEE Transactions on Biomedical Engineering 

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Adversarial Deep Learning in EEG Biometrics


Mar 27, 2019
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* IEEE Signal Processing Letters, 2019 
* Accepted for publication by IEEE Signal Processing Letters 

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Accelerated Experimental Design for Pairwise Comparisons


Jan 18, 2019
Yuan Guo, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis


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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders


Dec 17, 2018
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 9th International IEEE EMBS Conference on Neural Engineering (NER'19) 

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Structured Adversarial Attack: Towards General Implementation and Better Interpretability


Oct 04, 2018
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin


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Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration


Aug 18, 2018
Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour

* This work has been submitted to TMI 

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Asymmetric Similarity Loss Function to Balance Precision and Recall in Highly Unbalanced Deep Medical Image Segmentation


Jun 29, 2018
Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour

* This work is submitted to IEEE Transactions on Image Processing 

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Invariant Representations from Adversarially Censored Autoencoders


May 21, 2018
Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 9 pages, 5 figures 

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


Oct 25, 2017
Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour

* This work has been submitted to ISBI 2018 

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


Jun 19, 2017
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour

* This manuscripts has been submitted to TMI 

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


Jun 18, 2017
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour


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Asymptotic Analysis of Objectives based on Fisher Information in Active Learning


Oct 14, 2016
Jamshid Sourati, Murat Akcakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy


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Manifold unwrapping using density ridges


Apr 08, 2016
Jonas Nordhaug Myhre, Matineh Shaker, Devrim Kaba, Robert Jenssen, Deniz Erdogmus

* 43 pages, 29 figures, submitted to the Journal of Machine Learning Research 

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