Deniz Erdogmus

436 papers A* 7A 8B 25C 7Misc 23Journal 200Unranked 156

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast and Robust State Estimation and Tracking via Hierarchical Learning. IEEE Trans. Autom. Control. Connor Mclaughlin, Matthew Ding, Deniz Erdogmus, Lili Su
2025	J	`jnl`	A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems. IEEE Trans. Biomed. Eng. Ahmet Demirkaya, Kyle Lockwood, Georgios Stratis, Tales Imbiriba, Iulian Ilies, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary C. Danziger, Deniz Erdogmus
2025	J	`jnl`	Active Learning For Repairable Hardware Systems With Partial Coverage. CoRR Michael Potter, Beyza Kalkanli, Deniz Erdogmus, Michael Everett
2025	—	`conf`	Advancing Multi-Person Tracking for Autism Behavior Analysis: Challenges, Opportunities, and Future Directions in Clinical Settings. WACV (Workshops) Somaieh Amraee, Eva Blanco-Mallo, Deniz Erdogmus, Aston McCullough, Matthew S. Goodwin, Sarah Ostadabbas
2025	J	`jnl`	Continuously Optimizing Radar Placement With Model-Predictive Path Integrals. IEEE Trans. Aerosp. Electron. Syst. Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. CoRR Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. Trans. Mach. Learn. Res. Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Exploring Theory-Laden Observations in the Brain Basis of Emotional Experience. CoRR Christiana Westlin, Ashutosh Singh, Deniz Erdogmus, Georgios Stratis, Lisa Feldman Barrett
2025	A*	`conf`	Learning Physics Informed Neural ODEs with Partial Measurements. AAAI Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus
2025	A*	`conf`	MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. AAAI Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba
2025	J	`jnl`	Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. IEEE Trans. Aerosp. Electron. Syst. Michael Potter, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
2025	J	`jnl`	Recursive Deep Inverse Reinforcement Learning. CoRR Paul Ghanem, Michael Potter, Owen Howell, Pau Closas, Alireza Ramezani, Deniz Erdogmus, Tales Imbiriba
2025	J	`jnl`	SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification. CoRR Elifnur Sunger, Tales Imbiriba, John Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy
2024	J	`jnl`	Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. Comput. Medical Imaging Graph. Md Navid Akbar, Sebastian F. Ruf, Ashutosh Singh, Razieh Faghihpirayesh, Rachael Garner, Alexis Bennett, Celina Alba, Marianna La Rocca, Tales Imbiriba, Deniz Erdogmus, Dominique Duncan
2024	—	`conf`	Anticipatory Gaze Dynamics in Human-to-Human Object Handover. EMBC Mateusz Wolak, Garrit Strenge, Yunus Bicer, Kyle Lockwood, Mariusz P. Furmanek, Taskin Padir, Mathew Yarossi, Deniz Erdogmus, Eugene Tunik
2024	—	`conf`	Byzantine-Resilient Collaborative Hierarchical Non-Bayesian Learning. IEEECONF Connor Mclaughlin, Matthew Ding, Deniz Erdogmus, Lili Su
2024	J	`jnl`	Continuously Optimizing Radar Placement with Model Predictive Path Integrals. CoRR Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
2024	J	`jnl`	Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2024	—	`conf`	Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning. MIDL Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour
2024	J	`jnl`	KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators. CoRR Ashutosh Singh, Ashish Singh, Tales Imbiriba, Deniz Erdogmus, Ricardo Augusto Borsoi
2024	J	`jnl`	Learning Physics Informed Neural ODEs With Partial Measurements. CoRR Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus
2024	J	`jnl`	Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation. CoRR Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2024	A*	`conf`	Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2024	J	`jnl`	MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. CoRR Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba
2024	J	`jnl`	Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control. Frontiers Robotics AI Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner
2024	J	`jnl`	Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. CoRR Michael Potter, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
2023	Misc	`conf`	A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. ICASSP Ricardo Augusto Borsoi, Tales Imbiriba, Deniz Erdogmus
2023	J	`jnl`	A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. CoRR Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi
2023	—	`conf`	A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. WHISPERS Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba
2023	J	`jnl`	A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. CoRR Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba
2023	B	`conf`	Automatic brain pose estimation in fetal MRI. Image Processing Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2023	J	`jnl`	Circular-symmetric correlation layer. Mach. Learn. Bahar Azari, Deniz Erdogmus
2023	J	`jnl`	Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection. CoRR Richard Gall, Deniz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus, Rajkumar Kubendran
2023	—	`conf`	Fast Estimation of Morphing Wing Flight Dynamics Using Neural Networks and Cubature Rules. CDC Paul Ghanem, Yunus Bicer, Deniz Erdogmus, Alireza Ramezani
2023	J	`jnl`	Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2023	J	`jnl`	Fetal-BET: Brain Extraction Tool for Fetal MRI. CoRR Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2023	B	`conf`	Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. RO-MAN Kyle Lockwood, Garrit Strenge, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Taskin Padir, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
2023	Misc	`conf`	Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. ICASSP Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
2023	J	`jnl`	Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. CoRR Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2023	J	`jnl`	Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. IEEE Trans. Computational Imaging Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2023	—	`conf`	Real-Time Object Localization for Human-Robot Handover. PETRA Sadjad Asghari-Esfeden, Garrit Strenge, Kyle Lockwood, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Mathew Yarossi, Eugene Tunik, Taskin Padir, Deniz Erdogmus
2023	Misc	`conf`	Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
2023	J	`jnl`	Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. CoRR Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus
2023	J	`jnl`	User Training with Error Augmentation for Electromyogram-based Gesture Classification. CoRR Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
2022	J	`jnl`	Active recursive Bayesian inference using Rényi information measures. Pattern Recognit. Lett. Yeganeh M. Marghi, Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus
2022	—	`conf`	AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2022	J	`jnl`	Automated deep learning-based wide-band receiver. Comput. Networks Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus
2022	—	`conf`	Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. PIPPI@MICCAI Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2022	J	`jnl`	Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI. CoRR Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2022	—	`conf`	EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2022	A	`conf`	Equivariant Deep Dynamical Model for Motion Prediction. AISTATS Bahar Azari, Deniz Erdogmus
2022	C	`conf`	Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas
2022	J	`jnl`	Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas
2022	J	`jnl`	Inv-SENnet: Invariant Self Expression Network for clustering under biased data. CoRR Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
2022	—	`conf`	Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. PETRA Kyle Lockwood, Yunus Bicer, Sadjad Asghari-Esfeden, Tianjie Zhu, Mariusz P. Furmanek, Madhur Mangalam, Garrit Strenge, Tales Imbiriba, Mathew Yarossi, Taskin Padir, Deniz Erdogmus, Eugene Tunik
2022	J	`jnl`	Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José C. M. Bermudez, Deniz Erdogmus
2022	—	`conf`	NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols. CCNC Nasim Soltani, Yanyu Li, Deniz Erdogmus, Yanzhi Wang, Kaushik R. Chowdhury
2022	J	`jnl`	Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
2022	J	`jnl`	Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
2022	—	`conf`	PENet: Continuous-Valued Pulmonary Edema Severity Prediction On Chest X-ray Using Siamese Convolutional Networks. EMBC Md Navid Akbar, Xin Wang, Deniz Erdogmus, Sandeep Dalal
2022	J	`jnl`	Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy. CoRR Nathaniel Hanson, Tarik Kelestemur, Deniz Erdogmus, Taskin Padir
2022	J	`jnl`	Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
2022	J	`jnl`	Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2022	J	`jnl`	Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2022	J	`jnl`	Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. IEEE Trans. Pattern Anal. Mach. Intell. Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus
2022	A	`conf`	VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments. IROS Nathaniel Hanson, Michael Shaham, Deniz Erdogmus, Taskin Padir
2021	J	`jnl`	AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2021	J	`jnl`	AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2021	—	`conf`	Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	—	`conf`	Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. EMBC Razieh Faghihpirayesh, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan
2021	J	`jnl`	Circular-Symmetric Correlation Layer based on FFT. CoRR Bahar Azari, Deniz Erdogmus
2021	—	`conf`	Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation. EMBC Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus
2021	—	`conf`	Comparing Autoregressive and Network Features for Classification of Depression and Anxiety. EMBC Sebastian F. Ruf, Md Navid Akbar, Susan L. Whitfield-Gabrieli, Deniz Erdogmus
2021	—	`conf`	Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. EMBC Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
2021	J	`jnl`	Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. CoRR Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
2021	A	`conf`	Deep Spectral Ranking. AISTATS Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2021	—	`conf`	EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. EMBC Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus
2021	J	`jnl`	EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus
2021	J	`jnl`	EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. CoRR Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya
2021	J	`jnl`	EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. Biomed. Signal Process. Control. Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya
2021	J	`jnl`	Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules. CoRR Paul Ghanem, Yunus Bicer, Deniz Erdogmus, Alireza Ramezani
2021	A*	`conf`	End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning ICRA Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
2021	J	`jnl`	End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning. CoRR Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
2021	J	`jnl`	Equivariant Deep Dynamical Model for Motion Prediction. CoRR Bahar Azari, Deniz Erdogmus
2021	J	`jnl`	From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels. CoRR Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus
2021	J	`jnl`	Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. IEEE Signal Process. Lett. Aziz Koçanaogullari, Niklas Smedemark-Margulies, Murat Akçakaya, Deniz Erdogmus
2021	J	`jnl`	HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands. CoRR Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus
2021	—	`conf`	Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. CDMRI@MICCAI Md Navid Akbar, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Giuseppe Barisano, Ruskin Cua, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan
2021	J	`jnl`	Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. CoRR Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdogmus
2021	J	`jnl`	Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control. CoRR Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner
2021	A	`conf`	NetCut: Real-Time DNN Inference Using Layer Removal. DATE Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner
2021	J	`jnl`	NetCut: Real-Time DNN Inference Using Layer Removal. CoRR Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner
2021	J	`jnl`	On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2021	—	`conf`	On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER Ozan Özdenizci, Deniz Erdogmus
2021	J	`jnl`	On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. CoRR Ozan Özdenizci, Deniz Erdogmus
2021	J	`jnl`	Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion. CoRR Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus
2021	J	`jnl`	Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. CoRR Ozan Özdenizci, Deniz Erdogmus
2021	J	`jnl`	Stochastic mutual information gradient estimation for dimensionality reduction networks. Inf. Sci. Ozan Özdenizci, Deniz Erdogmus
2021	—	`conf`	Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy
2021	—	`conf`	Structurally Guided Channel Attention Networks: SGCA-Net. PETRA Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus
2021	J	`jnl`	Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CoRR Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner
2021	J	`jnl`	Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2021	—	`conf`	Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. EMBC Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus
2021	J	`jnl`	Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. CoRR Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus
2020	—	`conf`	A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation. EMBC Spencer Lake Jacobs-Skolik, Don Liang, Dana H. Brooks, Deniz Erdogmus, Mathew Yarossi, Eugene Tunik
2020	—	`conf`	A generic unfolding algorithm for manifolds estimated by local linear approximations. CVPR Workshops Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus
2020	J	`jnl`	Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence. CoRR Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus
2020	J	`jnl`	AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2020	—	`conf`	Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin
2020	J	`jnl`	Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	—	`conf`	Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	A	`conf`	Fast and Accurate Ranking Regression. AISTATS Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2020	J	`jnl`	HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. Intell. Serv. Robotics Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus
2020	J	`jnl`	Information Theoretic Feature Transformation Learning for Brain Interfaces. IEEE Trans. Biomed. Eng. Ozan Özdenizci, Deniz Erdogmus
2020	A	`conf`	Kinematic Optimization of an Underactuated Anthropomorphic Prosthetic Hand. IROS Ann Marie Votta, Sezen Yagmur Günay, Brian Zylich, Erik H. Skorina, Raagini Rameshwar, Deniz Erdogmus, Cagdas D. Onal
2020	J	`jnl`	Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. CoRR Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus
2020	—	`conf`	Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach. PETRA Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus
2020	—	`conf`	Motor cortex mapping using active gaussian processes. PETRA Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus
2020	—	`conf`	Optimal modality selection using information transfer rate for event related potential driven brain computer interfaces. PETRA Aziz Koçanaogullari, Murat Akçakaya, Barry Oken, Deniz Erdogmus
2020	J	`jnl`	Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI. CoRR Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus
2020	—	`conf`	Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. PETRA Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus
2020	—	`conf`	Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. PLANS Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas
2020	J	`jnl`	Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina Viktoria Hoebel, Deniz Erdogmus, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. CoRR Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus
2020	—	`conf`	Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning. BioRob Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
2020	J	`jnl`	Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2019	Misc	`conf`	A History-based Stopping Criterion in Recursive Bayesian State Estimation. ICASSP Yeganeh M. Marghi, Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus
2019	A*	`conf`	A Severity Score for Retinopathy of Prematurity. KDD Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis
2019	A	`conf`	Accelerated Experimental Design for Pairwise Comparisons. SDM Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Accelerated Experimental Design for Pairwise Comparisons. CoRR Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	J	`jnl`	Adversarial Deep Learning in EEG Biometrics. CoRR Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	J	`jnl`	Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	—	`conf`	Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. GBCIC Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus
2019	J	`jnl`	Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. CoRR Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus
2019	—	`conf`	An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. NER Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A. Sommer, Dana H. Brooks, Deniz Erdogmus, Eugene Tunik
2019	J	`jnl`	Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. IEEE Access Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
2019	—	`conf`	Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. CAMSAP Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas
2019	J	`jnl`	Classification and comparison via neural networks. Neural Networks Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2019	—	`conf`	Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. MLSP Andac Demir, Safaa Eldeeb, Murat Akçakaya, Deniz Erdogmus
2019	—	`conf`	EEG-Based Texture Classification During Active Touch. MLSP Safaa Eldeeb, Jordyn Ting, Deniz Erdogmus, Douglas J. Weber, Murat Akçakaya
2019	—	`conf`	Force-Sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors. CBS Ann Marie Votta, Sezen Yagmur Günay, Deniz Erdogmus, Çagdas D. Önal
2019	—	`conf`	From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels. PETRA Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus
2019	—	`conf`	Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection. IRC Mohammadreza Sharif, Deniz Erdogmus, Taskin Padir
2019	—	`conf`	Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller
2019	J	`jnl`	Information Theoretic Feature Transformation Learning for Brain Interfaces. CoRR Ozan Özdenizci, Deniz Erdogmus
2019	J	`jnl`	Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Trans. Medical Imaging Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour
2019	—	`conf`	Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit. NER Andac Demir, Mathew Yarossi, Damon Hyde, Mouhsin Shafi, Dana H. Brooks, Deniz Erdogmus
2019	—	`conf`	Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin
2019	J	`jnl`	Target tracking via recursive Bayesian state estimation in cognitive radar networks. Signal Process. Yijian Xiang, Murat Akçakaya, Satyabrata Sen, Deniz Erdogmus, Arye Nehorai
2019	—	`conf`	Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CyPhy/WESE Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner
2019	—	`conf`	Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	—	`conf`	Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. NER Sezen Yagmur Günay, Mathew Yarossi, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus
2019	J	`jnl`	User-Adaptive Text Entry for Augmentative and Alternative Communication. CoRR Matt Higger, Fernando Quivira, Deniz Erdogmus
2019	C	`conf`	Variational Inference from Ranked Samples with Features. ACML Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis
2018	—	`conf`	A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences. EMBC Yeganeh M. Marghi, Paula Gonzalez-Navarro, Bahar Azari, Deniz Erdogmus
2018	J	`jnl`	A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy
2018	—	`conf`	An Adaptive Proportional BCI-Controller for Linear Dynamic Systems. WAC Golnaz Eftekhari Yazdi, Hooman Nezamfar, Mohammad Moghadamfalahi, Murat Akçakaya, Bahram Shafai, Deniz Erdogmus
2018	J	`jnl`	Deep feature transfer between localization and segmentation tasks. CoRR Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown
2018	J	`jnl`	Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS. J. Signal Process. Syst. A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski
2018	J	`jnl`	EEG-assisted modulation of sound sources in the auditory scene. Biomed. Signal Process. Control. Marzieh Haghighi, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus
2018	A*	`conf`	Experimental Design under the Bradley-Terry Model. IJCAI Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis
2018	—	`conf`	Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
2018	J	`jnl`	Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
2018	—	`conf`	Improved classification in tactile BCIs using a noisy label model. ISBI James McLean, Fernando Quivira, Deniz Erdogmus
2018	—	`conf`	Incorporating temporal dependency on ERP based BCI. ISBI Aziz Kocanaogullan, Fernando Quivira, Deniz Erdogmus
2018	J	`jnl`	Invariant Representations from Adversarially Censored Autoencoders. CoRR Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2018	J	`jnl`	M-Estimation-Based Subspace Learning for Brain Computer Interfaces. IEEE J. Sel. Top. Signal Process. Berkan Kadioglu, Ilkay Yildiz, Pau Closas, Deniz Erdogmus
2018	J	`jnl`	On Analysis of Active Querying for Recursive State Estimation. IEEE Signal Process. Lett. Aziz Kocanaogullari, Deniz Erdogmus, Murat Akçakaya
2018	J	`jnl`	Optimal Query Selection Using Multi-Armed Bandits. IEEE Signal Process. Lett. Aziz Kocanaogullari, Yeganeh M. Marghi, Murat Akçakaya, Deniz Erdogmus
2018	—	`conf`	Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis
2018	J	`jnl`	Real-time Deep Registration With Geodesic Loss. CoRR Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour
2018	—	`conf`	Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour
2018	J	`jnl`	Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin
2018	—	`conf`	Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin
2018	J	`jnl`	Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin
2018	J	`jnl`	Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2018	—	`conf`	Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2018	J	`jnl`	Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. CoRR Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
2017	J	`jnl`	An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling. IEEE Trans. Signal Process. Mohammad Moghadamfalahi, Murat Akçakaya, Hooman Nezamfar, Jamshid Sourati, Deniz Erdogmus
2017	J	`jnl`	Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy
2017	J	`jnl`	Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. IEEE Trans. Medical Imaging Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2017	J	`jnl`	Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2017	J	`jnl`	Context-Aware Recursive Bayesian Graph Traversal in BCIs. CoRR Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus
2017	—	`conf`	Context-aware recursive bayesian graph traversal in BCIs. EMBC Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus
2017	J	`jnl`	Decoding Complex Imagery Hand Gestures. CoRR Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus
2017	—	`conf`	Decoding complex imagery hand gestures. EMBC Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus
2017	—	`conf`	EEG-guided robotic mirror therapy system for lower limb rehabilitation. EMBC Yeganeh M. Marghi, Amir B. Farjadian, Sheng-Che Yen, Deniz Erdogmus
2017	—	`conf`	Information theoretic feature projection for single-trial brain-computer interfaces. MLSP Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus
2017	—	`conf`	Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics. PETRA Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus
2017	J	`jnl`	Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. CoRR Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour
2017	J	`jnl`	Spatio-temporal EEG models for brain interfaces. Signal Process. Paula Gonzalez-Navarro, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus
2017	J	`jnl`	Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix
2017	Misc	`conf`	Target tracking via recursive Bayesian state estimation in radar networks. ACSSC Yijian Xiang, Murat Akçakaya, Satyabrata Sen, Deniz Erdogmus, Arye Nehorai
2017	—	`conf`	Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2017	J	`jnl`	Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2016	—	`conf`	A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI. HCI (13) Paula Gonzalez-Navarro, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus
2016	—	`conf`	A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network. ISBI Biel Roig-Solvas, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski
2016	J	`jnl`	An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling. CoRR Mohammad Moghadamfalahi, Murat Akçakaya, Hooman Nezamfar, Jamshid Sourati, Deniz Erdogmus
2016	—	`conf`	Assessing subsets of analytes in context of detecting laboratory errors. EMBC Jamshid Sourati, Steven C. Kazmierczak, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus
2016	J	`jnl`	Asymptotic Analysis of Objectives based on Fisher Information in Active Learning. CoRR Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy
2016	J	`jnl`	Classification Active Learning Based on Mutual Information. Entropy Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus
2016	J	`jnl`	Fast Switch Scanning Keyboards: Minimal Expected Query Decision Trees. CoRR Matt Higger, Mohammad Moghadamfalahi, Fernando Quivira, Deniz Erdogmus
2016	J	`jnl`	FlashType™: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals. IEEE J. Sel. Top. Signal Process. Hooman Nezamfar, Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Deniz Erdogmus
2016	—	`conf`	Toward a brain interface for tracking attended auditory sources. MLSP Marzieh Haghighi, Mohammad Moghadamfalahi, Hooman Nezamfar, Murat Akçakaya, Deniz Erdogmus
2016	—	`conf`	Toward a severity index for ROP: An unsupervised approach. EMBC Peng Tian, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Susan Ostmo, Karyn Jonas, R. V. P. Chan, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus
2015	—	`ed.`	25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015 MLSP Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen
2015	J	`jnl`	A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs. IEEE Signal Process. Lett. Matt Higger, Murat Akçakaya, Hooman Nezamfar, Gerald LaMountain, Umut Orhan, Deniz Erdogmus
2015	—	`conf`	A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity. ISBI Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Michael F. Chiang
2015	—	`conf`	A novel delta check method for detecting laboratory errors. MLSP Jamshid Sourati, Deniz Erdogmus, Murat Akçakaya, Steven C. Kazmierczak, Todd K. Leen
2015	—	`conf`	Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface. MLSP Mohammad Moghadamfalahi, Jamshid Sourati, Murat Akçakaya, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus
2015	—	`conf`	Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. ISBI Esra Ataer Cansizoglu, Yuichi Taguchi, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus
2015	J	`jnl`	Computationally Efficient Exact Calculation of Kernel Density Derivatives. J. Signal Process. Syst. Matineh Shaker, Jonas Nordhaug Myhre, Deniz Erdogmus
2015	J	`jnl`	Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements. IEEE Trans. Signal Process. A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski
2015	J	`jnl`	Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. Comput. Methods Programs Biomed. Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Michael F. Chiang
2015	J	`jnl`	Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1. IEEE Trans. Auton. Ment. Dev. Junwei Han, Tianming Liu, Christine Cong Guo, Deniz Erdogmus, John (Juyang) Weng
2015	—	`conf`	Manifold unwrapping using critical surfaces. MLSP Matineh Shaker, M. Devrim Kaba, Deniz Erdogmus
2015	—	`conf`	Maximum a posteriori estimation of relative abundances of protein conformations. MLSP A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski
2015	J	`jnl`	Minor Surfaces are Boundaries of Mode-Based Clusters. IEEE Signal Process. Lett. Esra Ataer Cansizoglu, Murat Akçakaya, Deniz Erdogmus
2015	—	`conf`	Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. MLSP Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix
2015	—	`conf`	The Effect of Limiting Trial Count in Context Aware BCIs: A Case Study with Language Model Assisted Spelling. HCI (15) Mohammad Moghadamfalahi, Paula Gonzalez-Navarro, Murat Akçakaya, Umut Orhan, Deniz Erdogmus
2014	J	`jnl`	Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. IEEE Trans. Image Process. Jamshid Sourati, Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks
2014	—	`conf`	Invertible nonlinear cluster unwrapping. MLSP Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus
2014	J	`jnl`	Manifold learning by preserving distance orders. Pattern Recognit. Lett. Esra Ataer Cansizoglu, Murat Akçakaya, Umut Orhan, Deniz Erdogmus
2014	Misc	`conf`	Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry. UbiComp Matthew S. Goodwin, Marzieh Haghighi, Qu Tang, Murat Akçakaya, Deniz Erdogmus, Stephen S. Intille
2014	J	`jnl`	Structure-based level set method for automatic retinal vasculature segmentation. EURASIP J. Image Video Process. Bekir Dizdaroglu, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus
2014	Misc	`conf`	Utilization of temporal trial dependency in ERP based BCIs. ACSSC Umut Orhan, Delia Fernandez-Canellas, Murat Akçakaya, Dana H. Brooks, Deniz Erdogmus
2013	J	`jnl`	A Robust Fusion Algorithm for Sensor Failure. IEEE Signal Process. Lett. Matt Higger, Murat Akçakaya, Deniz Erdogmus
2013	—	`conf`	A novel line detection method in space-time images for microvascular blood flow analysis in sublingual microcirculatory videos. ISBI Sheng You, Michael Massey, Nathan Shapiro, Deniz Erdogmus
2013	J	`jnl`	Contour-based shape representation using principal curves. Pattern Recognit. Esra Ataer Cansizoglu, Erhan Bas, Jayashree Kalpathy-Cramer, Gregory C. Sharp, Deniz Erdogmus
2013	A	`conf`	Improved inference and autotyping in EEG-based BCI typing systems. ASSETS Andrew Fowler, Brian Roark, Umut Orhan, Deniz Erdogmus, Melanie Fried-Oken
2013	—	`conf`	Robust Classification in RSVP Keyboard. HCI (24) Matt Higger, Murat Akçakaya, Umut Orhan, Deniz Erdogmus
2013	J	`jnl`	The Future of Human-in-the-Loop Cyber-Physical Systems. Computer Gunar Schirner, Deniz Erdogmus, Kaushik R. Chowdhury, Taskin Padir
2013	—	`conf`	Visual hull reconstruction for automated primate behavior observation. MLSP Nastaran Ghadar, Xikang Zhang, Kang Li, Deniz Erdogmus, Guillaume Thibault, Alireza Bayestehtashk, Izhak Shafran, Kris Coleman, Kathleen A. Grant
2012	—	`conf`	A SIFT-point distribution-based method for head pose estimation. MLSP Nastaran Ghadarghadar, Esra Ataer Cansizoglu, Peng Zhang, Deniz Erdogmus
2012	Misc	`conf`	A mode-based clustering algorithm without mode seeking. ICASSP Esra Ataer Cansizoglu, Deniz Erdogmus
2012	—	`conf`	Constrained spectral clustering for image segmentation. MLSP Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Deniz Erdogmus
2012	—	`conf`	Improved accuracy using recursive Bayesian estimation based language model fusion in ERP-based BCI typing systems. EMBC Umut Orhan, Deniz Erdogmus, Brian Roark, Barry Oken, Shalini Purwar, Kenneth E. Hild II, Andrew Fowler, Melanie Fried-Oken
2012	—	`conf`	Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps. MLSP Bekir Dizdaroglu, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus
2012	—	`conf`	Local linear approximation of principal curve projections. MLSP Peng Zhang, Esra Ataer Cansizoglu, Deniz Erdogmus
2012	J	`jnl`	Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis. J. Vis. Commun. Image Represent. Erhan Bas, Deniz Erdogmus, R. W. Draft, Jeff W. Lichtman
2012	—	`conf`	Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm. MLSP Sheng You, Esra Ataer Cansizoglu, Deniz Erdogmus, Michael Massey, Nathan Shapiro
2012	—	`conf`	Neural correlates of visual perception in rapid serial visual presentation paradigms. MLSP Yonghong Huang, Kenneth E. Hild II, Misha Pavel, Santosh Mathan, Deniz Erdogmus
2012	—	`conf`	Observer and feature analysis on diagnosis of retinopathy of prematurity. MLSP Esra Ataer Cansizoglu, Sheng You, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus
2012	—	`conf`	Online regularized discriminant analysis. MLSP Umut Orhan, Ang Li, Deniz Erdogmus
2012	—	`conf`	Preface. MLSP Ignacio Santamaría, Jerónimo Arenas-García, Gustavo Camps-Valls, Deniz Erdogmus, Fernando Pérez-Cruz
2012	Misc	`conf`	RSVP keyboard: An EEG based typing interface. ICASSP Umut Orhan, Kenneth E. Hild II, Deniz Erdogmus, Brian Roark, Barry Oken, Melanie Fried-Oken
2012	—	`conf`	Retinal vasculature segmentation using principal spanning forests. ISBI Erhan Bas, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer
2012	—	`conf`	Statistical error detection for clinical laboratory tests. EMBC Todd K. Leen, Deniz Erdogmus, Steven C. Kazmierczak
2012	Misc	`conf`	Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. ICASSP Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha
2011	J	`jnl`	A framework for rapid visual image search using single-trial brain evoked responses. Neurocomputing Yonghong Huang, Deniz Erdogmus, Misha Pavel, Santosh Mathan, Kenneth E. Hild II
2011	—	`conf`	A ridge scorewith application to piecewise linear neural reconstruction. ISBI Erhan Bas, Deniz Erdogmus
2011	—	`conf`	An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling. ACL (System Demonstrations) Kenneth E. Hild II, Umut Orhan, Deniz Erdogmus, Brian Roark, Barry Oken, Shalini Purwar, Hooman Nezamfar, Melanie Fried-Oken
2011	—	`conf`	Automated extraction of blood vessel networks from 3D microscopy image stacks via multi-scale principal curve tracing. ISBI Erhan Bas, Nastaran Ghadarghadar, Deniz Erdogmus
2011	—	`conf`	Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. EMBC Sila Kurugol, Erhan Bas, Deniz Erdogmus, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks
2011	J	`jnl`	Connectivity of projected high dimensional data charts on one-dimensional curves. Signal Process. Erhan Bas, Deniz Erdogmus
2011	—	`conf`	Context information significantly improves brain computer interface performance - a case study on text entry using a language model assisted BCI. ACSCC Umut Orhan, Deniz Erdogmus, Kenneth E. Hild II, Brian Roark, Barry Oken, Melanie Fried-Oken
2011	J	`jnl`	Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli. Int. J. Imaging Syst. Technol. Hooman Nezamfar, Umut Orhan, Shalini Purwar, Kenneth E. Hild II, Barry Oken, Deniz Erdogmus
2011	—	`conf`	Extraction of samples from airway and vessel trees in 3D lung CT based on a multi-scale principal curve tracing algorithm. EMBC Sheng You, Erhan Bas, Deniz Erdogmus
2011	—	`conf`	Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers. EMBC Umut Orhan, Deniz Erdogmus, Brian Roark, Shalini Purwar, Kenneth E. Hild II, Barry Oken, Hooman Nezamfar, Melanie Fried-Oken
2011	J	`jnl`	Locally Defined Principal Curves and Surfaces. J. Mach. Learn. Res. Umut Ozertem, Deniz Erdogmus
2011	—	`conf`	Motion flow analysis in cell videos using a multi-level clustering method. EMBC Esra Ataer Cansizoglu, Nastaran Ghadarghadar, Ramin Zareian, Erhan Bas, Jeffrey W. Ruberti, Deniz Erdogmus
2011	Misc	`conf`	On visually evoked potentials in eeg induced by multiple pseudorandom binary sequences for brain computer interface design. ICASSP Hooman Nezamfar, Umut Orhan, Deniz Erdogmus, Kenneth E. Hild II, Shalini Purwar, Barry Oken, Melanie Fried-Oken
2011	Misc	`conf`	Polytope kernel density estimates on Delaunay graphs. ICASSP Erhan Bas, Deniz Erdogmus
2011	—	`conf`	Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases. HISB Sheng You, Erhan Bas, Deniz Erdogmus, Jayashree Kalpathy-Cramer
2011	J	`jnl`	Principal Curves as Skeletons of Tubular Objects - Locally Characterizing the Structures of Axons. Neuroinformatics Erhan Bas, Deniz Erdogmus
2011	—	`conf`	Principal curve based semi-automatic segmentation of organs in 3D-CT. EMBC Sheng You, Erhan Bas, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Deniz Erdogmus
2011	Misc	`conf`	Sampling on locally defined principal manifolds. ICASSP Erhan Bas, Deniz Erdogmus
2011	—	`conf`	Session MA7b: Multivariate and multimodal analysis of brain signals. ACSCC Justin Dauwels, Deniz Erdogmus
2010	C	`conf`	A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning. ICMLA Sheng You, Esra Ataer Cansizoglu, Deniz Erdogmus, James Tanyi, Jayashree Kalpathy-Cramer
2010	—	`ch.`	Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria. Information Theoretic Learning Deniz Erdogmus, Weifeng Liu
2010	—	`ch.`	Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems. Information Theoretic Learning Deniz Erdogmus, Seungju Han, Abhishek Singh
2010	—	`ch.`	Classification with EEC, Divergence Measures, and Error Bounds. Information Theoretic Learning Deniz Erdogmus, Dongxin Xu, Kenneth E. Hild II
2010	B	`conf`	Identifying informative features for ERP speller systems based on RSVP paradigm. ESANN Tian Lan, Deniz Erdogmus, Lois M. Black, Jan P. H. van Santen
2010	—	`ch.`	Nonlinear Adaptive Filtering with MEE, MCC, and Applications. Information Theoretic Learning Deniz Erdogmus, Rodney Morejon, Weifeng Liu
2010	J	`jnl`	Numerical optimization of a sum-of-rank-1 decomposition for n-dimensional order-p symmetric tensors. Neurocomputing Olexiy O. Kyrgyzov, Deniz Erdogmus
2010	—	`conf`	Piecewise linear cylinder models for 3-dimensional axon segmentation in brainbow imagery. ISBI Erhan Bas, Deniz Erdogmus
2010	B	`conf`	Principal curve tracing. ESANN Erhan Bas, Deniz Erdogmus
2010	—	`ch.`	Renyi's Entropy, Divergence and Their Nonparametric Estimators. Information Theoretic Learning Dongxin Xu, Deniz Erdogmus
2010	—	`ch.`	Self-Organizing ITL Principles for Unsupervised Learning. Information Theoretic Learning Sudhir Rao, Deniz Erdogmus, Dongxin Xu, Kenneth E. Hild II
2009	J	`jnl`	A Novel LMS Algorithm Applied to Adaptive Noise Cancellation. IEEE Signal Process. Lett. Juan Manuel Górriz, Javier Ramírez, Sergio Antonio Cruces-Alvarez, Carlos García Puntonet, Elmar Wolfgang Lang, Deniz Erdogmus
2009	Misc	`conf`	A new approach for the reassignment of time-frequency representations. ICASSP Ervin Sejdic, Umut Ozertem, Igor Djurovic, Deniz Erdogmus
2009	—	`ch.`	Information Theoretic Learning. Encyclopedia of Artificial Intelligence Deniz Erdogmus, José Carlos Príncipe
2009	J	`jnl`	Principal curve time warping. IEEE Trans. Signal Process. Umut Ozertem, Deniz Erdogmus
2009	J	`jnl`	RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection. IEEE Trans. Neural Networks Umut Ozertem, Deniz Erdogmus
2009	B	`conf`	Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology. Image Processing Jayashree Kalpathy-Cramer, Umut Ozertem, William R. Hersh, Martin Fuss, Deniz Erdogmus
2009	J	`jnl`	Second-Order Volterra System Identification With Noisy Input-Output Measurements. IEEE Signal Process. Lett. Umut Ozertem, Deniz Erdogmus
2009	Misc	`conf`	Target detection using incremental learning on single-trial evoked response. ICASSP Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenneth E. Hild II, Santosh Mathan
2008	A*	`conf`	A reproducing kernel Hilbert space framework for pairwise time series distances. ICML Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus
2008	—	`conf`	A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals. EUSIPCO Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Sergio Antonio Cruces-Alvarez, Deniz Erdogmus, Elmar Wolfgang Lang
2008	J	`jnl`	Advances in blind signal processing. Neurocomputing Deniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka
2008	J	`jnl`	Continuously Differentiable Sample-Spacing Entropy Estimation. IEEE Trans. Neural Networks Umut Ozertem, Ismail Uysal, Deniz Erdogmus
2008	Misc	`conf`	Density geodesics for similarity clustering. ICASSP Umut Ozertem, Deniz Erdogmus, Miguel Á. Carreira-Perpiñán
2008	Misc	`conf`	Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen
2008	C	`conf`	Geometric structure of sum-of-rank-1 decompositions for n-dimensional order-p symmetric tensors. ISCAS Olexiy O. Kyrgyzov, Deniz Erdogmus
2008	—	`ch.`	Information Theoretic Feature Selection and Projection. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks Deniz Erdogmus, Umut Ozertem, Tian Lan
2008	Misc	`conf`	Large-scale image database triage via EEG evoked responses. ICASSP Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel
2008	Misc	`conf`	Local conditions for critical and principal manifolds. ICASSP Umut Ozertem, Deniz Erdogmus
2008	J	`jnl`	Mean shift spectral clustering. Pattern Recognit. Umut Ozertem, Deniz Erdogmus, Robert Jenssen
2008	—	`conf`	Rapid image analysis using neural signals. CHI Extended Abstracts Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Misha Pavel, Patricia Ververs, James Carciofini, Michael C. Dorneich, Stephen Whitlow
2008	J	`jnl`	Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK. Signal Process. Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe
2008	Misc	`conf`	Signal denoising using principal curves: Application to timewarping. ICASSP Umut Ozertem, Deniz Erdogmus
2008	J	`jnl`	Signal processing challenges in cognitive assistive technology [Exploratory DSP]. IEEE Signal Process. Mag. Michael R. Lightner, Deniz Erdogmus
2007	B	`conf`	A Nonparametric Approach for Active Contours. IJCNN Umut Ozertem, Deniz Erdogmus
2007	B	`conf`	A Novel Switching Scheme Between Adaptive Information Algorithms. IJCNN Seungju Han, Sudhir Rao, Deniz Erdogmus, José C. Príncipe
2007	J	`jnl`	A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS). Signal Process. Seungju Han, Sudhir Rao, Deniz Erdogmus, Kyu-Hwa Jeong, José Carlos Príncipe
2007	J	`jnl`	Adaptive motion estimation schemes using maximum mutual information criterion. Wirel. Commun. Mob. Comput. Jing Zhao, Dapeng Wu, Deniz Erdogmus, Yuguang Fang, Zhihai He
2007	B	`conf`	Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. IJCNN Umut Ozertem, Andras Gruber, Deniz Erdogmus
2007	J	`jnl`	Channel Selection and Feature Projection for Cognitive Load Estimation Using Ambulatory EEG. Comput. Intell. Neurosci. Tian Lan, Deniz Erdogmus, André Adami, Santosh Mathan, Misha Pavel
2007	J	`jnl`	Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography. Comput. Intell. Neurosci. Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José C. Príncipe, J. Chris Sackellares
2007	J	`jnl`	Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing. J. VLSI Signal Process. David J. Miller, Deniz Erdogmus
2007	J	`jnl`	Independent Component Analysis and Blind Source Separation. Signal Process. Allan Kardec Barros, José Carlos Príncipe, Deniz Erdogmus
2007	—	`conf`	Information Regularized Maximum Likelihood for Binary Motion Sensors. ICASSP (2) Umut Ozertem, Deniz Erdogmus
2007	J	`jnl`	Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors. J. VLSI Signal Process. Umut Ozertem, Deniz Erdogmus
2007	J	`jnl`	Information cut for clustering using a gradient descent approach. Pattern Recognit. Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Torbjørn Eltoft
2007	J	`jnl`	Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis. J. VLSI Signal Process. Tian Lan, Deniz Erdogmus
2007	—	`conf`	Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS. ICONIP (2) Deniz Erdogmus, Umut Ozertem
2007	J	`jnl`	Nonparametric Snakes. IEEE Trans. Image Process. Umut Ozertem, Deniz Erdogmus
2007	J	`jnl`	Quasi-sliding mode control strategy based on multiple-linear models. Neurocomputing Jeongho Cho, José C. Príncipe, Deniz Erdogmus, Mark A. Motter
2007	—	`conf`	Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices. ICASSP (2) Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe
2007	—	`conf`	Self-Consistent Locally Defined Principal Surfaces. ICASSP (2) Deniz Erdogmus, Umut Ozertem
2007	J	`jnl`	The Laplacian Classifier. IEEE Trans. Signal Process. Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2006	—	`conf`	A Closed Form Solution for a Nonlinear Wiener Filter. ICASSP (3) Puskal P. Pokharel, Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe
2006	—	`conf`	A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking. ICA Tian Lan, Yonghong Huang, Deniz Erdogmus
2006	J	`jnl`	An analysis of entropy estimators for blind source separation. Signal Process. Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe
2006	B	`conf`	Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces. IJCNN Tian Lan, Deniz Erdogmus, Misha Pavel, Santosh Mathan
2006	—	`conf`	Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. EMBC Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel
2006	B	`conf`	Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution. IJCNN Umut Ozertem, Deniz Erdogmus
2006	B	`conf`	Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. IJCNN Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel
2006	B	`conf`	Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. IJCNN Tian Lan, Deniz Erdogmus, Umut Ozertem, Yonghong Huang
2006	J	`jnl`	Experimental upper bound for the performance of convolutive source separation methods. IEEE Trans. Signal Process. Kenneth E. Hild II, Deniz Erdogmus, José Carlos Príncipe
2006	J	`jnl`	Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, José C. Príncipe
2006	J	`jnl`	From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems. IEEE Signal Process. Mag. Deniz Erdogmus, José C. Príncipe
2006	J	`jnl`	Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. J. VLSI Signal Process. Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, José C. Príncipe
2006	—	`ed.`	Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings ICA Justinian P. Rosca, Deniz Erdogmus, José Carlos Príncipe, Simon Haykin
2006	B	`conf`	Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. IJCNN Robert Jenssen, Deniz Erdogmus, José C. Príncipe
2006	—	`conf`	Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts. ICASSP (5) Deniz Erdogmus, Miguel Á. Carreira-Perpiñán, Umut Ozertem
2006	—	`conf`	Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. NIPS Robert Jenssen, Torbjørn Eltoft, Mark A. Girolami, Deniz Erdogmus
2006	—	`conf`	Mean Shift Spectral Clustering for Perceptual Image Segmentation. ICASSP (2) Umut Ozertem, Deniz Erdogmus, Tian Lan
2006	J	`jnl`	Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. IEEE Trans. Neural Networks Jeongho Cho, José Carlos Príncipe, Deniz Erdogmus, Mark A. Motter
2006	—	`conf`	Neurophysiologically driven image triage: a pilot study. CHI Extended Abstracts Santosh Mathan, Stephen Whitlow, Deniz Erdogmus, Misha Pavel, Patricia Ververs, Michael C. Dorneich
2006	J	`jnl`	Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. J. VLSI Signal Process. Anant Hegde, José Carlos Príncipe, Deniz Erdogmus, Umut Ozertem, Yadunandana N. Rao, Hemanth Peddaneni
2006	—	`conf`	Recursive Generalized Eigendecomposition for Independent Component Analysis. ICA Umut Ozertem, Deniz Erdogmus, Tian Lan
2006	J	`jnl`	Some Equivalences between Kernel Methods and Information Theoretic Methods. J. VLSI Signal Process. Robert Jenssen, Torbjørn Eltoft, Deniz Erdogmus, José C. Príncipe
2006	J	`jnl`	Spectral feature projections that maximize Shannon mutual information with class labels. Pattern Recognit. Umut Ozertem, Deniz Erdogmus, Robert Jenssen
2006	J	`jnl`	The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels. J. Frankl. Inst. Robert Jenssen, José C. Príncipe, Deniz Erdogmus, Torbjørn Eltoft
2006	—	`conf`	Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen
2005	J	`jnl`	A mutual information extension to the matched filter. Signal Process. Deniz Erdogmus, Rati Agrawal, José Carlos Príncipe
2005	J	`jnl`	A new classifier based on information theoretic learning with unlabeled data. Neural Networks Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe
2005	—	`conf`	An adaptive motion estimation scheme using maximum mutual information criteria. EUSIPCO Jing Zhao, Deniz Erdogmus, Cancan Huang, Dapeng Wu, Yuguang Fang
2005	—	`conf`	An information-theoretic perspective to kernel independent components analysis. ICASSP (5) Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, José C. Príncipe
2005	J	`jnl`	Convolutive blind source separation by minimizing mutual information between segments of signals. IEEE Trans. Circuits Syst. I Regul. Pap. Kenneth E. Hild II, David Pinto, Deniz Erdogmus, José Carlos Príncipe
2005	—	`conf`	Detection of nonlinearly distorted signals using mutual information. EUSIPCO Umut Ozertem, Deniz Erdogmus, Ignacio Santamaría
2005	J	`jnl`	Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization. EURASIP J. Adv. Signal Process. Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, Justin C. Sanchez, Miguel A. L. Nicolelis, José C. Príncipe
2005	J	`jnl`	Error whitening criterion for adaptive filtering: theory and algorithms. IEEE Trans. Signal Process. Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2005	—	`conf`	Estimating cognitive state using EEG signals. EUSIPCO Tian Lan, André Adami, Deniz Erdogmus, Misha Pavel
2005	J	`jnl`	Fast error whitening algorithms for system identification and control with noisy data. Neurocomputing Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe
2005	B	`conf`	Feature selection by independent component analysis and mutual information maximization in EEG signal classification. IJCNN Tian Lan, Deniz Erdogmus, André Adami, Michael Pavel
2005	J	`jnl`	Information Theoretic Signal Processing. Signal Process. Deniz Erdogmus, José Carlos Príncipe
2005	—	`conf`	Learning mappings in brain machine interfaces with echo state networks. ICASSP (5) Yadunandana N. Rao, Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, José C. Príncipe, Jose M. Carmena, Mikhail A. Lebedev, Miguel A. L. Nicolelis
2005	J	`jnl`	Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2005	J	`jnl`	Local Linear PID Controllers for Nonlinear Control. Control. Intell. Syst. Jing Lan, Jeongho Cho, Deniz Erdogmus, José C. Príncipe, Mark A. Motter, Jian-Wu Xu
2005	—	`conf`	MRI Image Reconstruction via Homomorphic Signal Processing. ICASSP (2) Jeffrey R. Fitzsimmons, Rui Yan, Deniz Erdogmus
2005	B	`conf`	Maximally discriminative spectral feature projections using mutual information. IJCNN Umut Ozertem, Deniz Erdogmus
2005	C	`conf`	Minimum error entropy Luenberger observer. ACC Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe
2005	—	`conf`	Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. EMMCVPR Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
2005	J	`jnl`	Quantifying spatio-temporal dependencies in epileptic ECOG. Signal Process. Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José Carlos Príncipe, J. Chris Sackellares
2005	—	`conf`	Robust matched filtering in the feature space. EUSIPCO Ignacio Santamaría, Deniz Erdogmus, Rati Agrawal, José C. Príncipe
2005	—	`conf`	Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection. ICASSP (2) Rui Yan, Guojun He, Deniz Erdogmus, Sung-Phil Kim, José C. Príncipe, Yijun Liu
2005	J	`jnl`	Stochastic blind equalization based on PDF fitting using Parzen estimator. IEEE Trans. Signal Process. Marcelino Lázaro, Ignacio Santamaría, Deniz Erdogmus, Kenneth E. Hild II, Carlos Pantaleón, José C. Príncipe
2005	—	`conf`	Supervised training of adaptive systems with partially labeled data. ICASSP (5) Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe
2005	—	`conf`	The Laplacian spectral classifier. ICASSP (5) Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2005	J	`jnl`	Vector quantization using information theoretic concepts. Nat. Comput. Tue Lehn-Schiøler, Anant Hegde, Deniz Erdogmus, José Carlos Príncipe
2004	—	`conf`	Accurate linear parameter estimation in colored noise. ICASSP (2) Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2004	J	`jnl`	Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. IEEE Trans. Signal Process. Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Marcelino Lázaro, Ignacio Santamaría
2004	J	`jnl`	Asymptotic SNR-performance of some image combination techniques for phased-array MRI. Signal Process. Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons
2004	—	`conf`	Blind equalization of multilevel signals using support vector machines. EUSIPCO Marcelino Lázaro, Ignacio Santamaría, Javier Vía, Deniz Erdogmus
2004	J	`jnl`	Feature selection in MLPs and SVMs based on maximum output information. IEEE Trans. Neural Networks Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi
2004	—	`conf`	Gaussianizing Transformations for ICA. ICA Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
2004	J	`jnl`	Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus
2004	J	`jnl`	Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. J. VLSI Signal Process. Deniz Erdogmus, José C. Príncipe
2004	J	`jnl`	Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat. Signal Process. Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons
2004	—	`conf`	Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. ICA Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
2004	J	`jnl`	Minimax Mutual Information Approach for Independent Component Analysis. Neural Comput. Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, José Carlos Príncipe
2004	—	`conf`	Minimizing Fisher information of the error in supervised adaptive filter training. ICASSP (5) Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe
2004	—	`conf`	Mixture of competitive linear models for phased-array magnetic resonance imaging. ICASSP (5) Deniz Erdogmus, Rui Yan, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons
2004	B	`conf`	Nonlinear independent component analysis by homomorphic transformation of the mixtures. IJCNN Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe
2004	—	`conf`	On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions. ICA Luis Vielva, Ignacio Santamaría, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe
2004	—	`conf`	Parzen particle filters. ICASSP (5) Tue Lehn-Schiøler, Deniz Erdogmus, José C. Príncipe
2004	J	`jnl`	Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation. EURASIP J. Adv. Signal Process. Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, José C. Príncipe
2004	—	`conf`	The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. NIPS Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft
2004	B	`conf`	Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. IJCNN Anant Hegde, Deniz Erdogmus, Tue Lehn-Schiøler, Yadunandana N. Rao, José C. Príncipe
2003	—	`conf`	A hybrid subspace projection method for system identification. ICASSP (6) Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2003	B	`conf`	Accelerating the convergence speed of neural networks learning methods using least squares. ESANN Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003	B	`conf`	Accurate initialization of neural network weights by backpropagation of the desired response. IJCNN Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003	B	`conf`	Clustering using Renyi's entropy. IJCNN Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2003	J	`jnl`	Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training. IEEE Trans. Signal Process. Deniz Erdogmus, José C. Príncipe
2003	J	`jnl`	Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. Neural Networks Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel A. L. Nicolelis
2003	—	`conf`	Echo cancellation by global optimization of Kautz filters using an information theoretic criterion. ICASSP (6) Ching-An Lai, Deniz Erdogmus, José C. Príncipe
2003	B	`conf`	Error whitening criterion for linear filter estimation. IJCNN Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe
2003	—	`conf`	Fast error whitening algorithms for system identification and control. NNSP Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe
2003	—	`conf`	Image combination for high-field phased-array MRI. ICASSP (5) Rui Yan, Deniz Erdogmus, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons
2003	—	`conf`	Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm. NNSP Dorothee E. Marossero, Deniz Erdogmus, Neil R. Euliano, José C. Príncipe, Kenneth E. Hild II
2003	—	`conf`	Information Force Clustering Using Directed Trees. EMMCVPR Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
2003	C	`conf`	Linear Least-Squares Based Methods for Neural Networks Learning. ICANN Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003	—	`conf`	Matched pdf-based blind equalization. ICASSP (4) Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Deniz Erdogmus, José C. Príncipe
2003	B	`conf`	Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. IJCNN Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Miguel A. L. Nicolelis
2003	—	`conf`	On the convergence of SIPEX: a simultaneous principal components extraction algorithm. ICASSP (2) Deniz Erdogmus, Yadunandana N. Rao, M. Can Ozturk, Luis Vielva, José C. Príncipe
2003	J	`jnl`	Online entropy manipulation: stochastic information gradient. IEEE Signal Process. Lett. Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe
2003	B	`conf`	Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2003	—	`conf`	SOM-based similarity index measure: quantifying interactions between multivariate structures. NNSP Anant Hegde, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Jianbo Gao
2003	B	`conf`	Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach. IJCNN Mustafa C. Ozturk, José C. Príncipe, Bryan A. Davis, Deniz Erdogmus
2003	J	`jnl`	Stochastic error whitening algorithm for linear filter estimation with noisy data. Neural Networks Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe
2003	B	`conf`	Supervised synaptic weight adaptation for a spiking neuron. IJCNN Bryan A. Davis, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe
2002	—	`conf`	A recursive Renyi's entropy estimator. NNSP Deniz Erdogmus, José C. Príncipe, Sung-Phil Kim, Justin C. Sanchez
2002	—	`conf`	An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. EUSIPCO Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Oscar Fontenla-Romero, Luis Vielva
2002	J	`jnl`	An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems. IEEE Trans. Signal Process. Deniz Erdogmus, José C. Príncipe
2002	J	`jnl`	Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation. Nat. Comput. Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild II
2002	—	`conf`	Blind deconvolution with minimum Renyi's entropy. EUSIPCO Deniz Erdogmus, José C. Príncipe, Luis Vielva
2002	—	`conf`	Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix. EUSIPCO Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Luis Vielva
2002	Misc	`conf`	Blind source separation of time-varying instantaneous mixtures using an on-line algorithm. ICASSP Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe
2002	J	`jnl`	Blind source separation using Renyi's -marginal entropies. Neurocomputing Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe
2002	—	`conf`	Do Hebbian synapses estimate entropy? NNSP Deniz Erdogmus, José C. Príncipe, Kenneth E. Hild II
2002	J	`jnl`	Entropy minimization for supervised digital communications channel equalization. IEEE Trans. Signal Process. Ignacio Santamaría, Deniz Erdogmus, José Carlos Príncipe
2002	—	`conf`	Estimation of the mixing matrix for underdetermined blind source separation using spectral estimation techniques. EUSIPCO Luis Vielva, Ignacio Santamaría, Carlos Pantaleón, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe
2002	J	`jnl`	Generalized information potential criterion for adaptive system training. IEEE Trans. Neural Networks Deniz Erdogmus, José Carlos Príncipe
2002	—	`conf`	Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns. NNSP Justin C. Sanchez, Sung-Phil Kim, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Johan Wessberg, Miguel A. L. Nicolelis
2002	J	`jnl`	Insights on the relationship between probability of misclassification and information transfer through classifiers. Int. J. Comput. Syst. Signals Deniz Erdogmus, José Carlos Príncipe
2002	—	`conf`	Modified Kalman filter based method for training state-recurrent multilayer perceptrons. NNSP Deniz Erdogmus, Justin C. Sanchez, José C. Príncipe
2002	C	`conf`	Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. ICANN Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo
2002	J	`jnl`	Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection. EURASIP J. Adv. Signal Process. Deniz Erdogmus, Yadunandana N. Rao, Kenneth E. Hild II, José C. Príncipe
2002	Misc	`conf`	Simultaneous extraction of Principal Components using givens rotations and output variances. ICASSP Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Jing Zhao, Kenneth E. Hild II
2002	Misc	`conf`	Underdetermined blind source separation in a time-varying environment. ICASSP Luis Vielva, Deniz Erdogmus, Carlos Pantaleón, Ignacio Santamaría, J. A. Pereda, José C. Príncipe
2001	J	`jnl`	Blind source separation using Renyi's mutual information. IEEE Signal Process. Lett. Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe