Papers accessible through the links provided on this page might be protected with international copyright laws and may not be used in violation of these laws and the rights of the respective copyright holders.


PUBLICATIONS OF COLLABORATORS TO WHICH DENIZ ERDOGMUS CONTRIBUTED IN SOME WAY


Dissertations of PhD Students

[3]       O. Kyrgyzov, Non-redundant Tensor Decomposition, PhD Dissertation, Northeastern University, Boston, MA, Aug 2010. (advisor: D. Erdogmus)

[2]       Y. Huang, Event-related Potentials in Electroencephalography: Characteristics and Single-trial Detection for Rapid Object Search, Oregon Health and Science University, Portland, OR, Jun 2010. (Co-advisors: D. Erdogmus, M. Pavel)

[1]       U. Ozertem, Locally Defined Principal Curves and Surfaces, PhD Dissertation, Oregon Health and Science University, Portland, OR, Aug 2008. (advisor: D. Erdogmus)


PUBLICATIONS OF DENIZ ERDOGMUS


Dissertation and Thesis

[1]       D. Erdogmus, Information Theoretic Learning: Renyi’s Entropy and its Applications to Adaptive System Training, PhD Dissertation, University of Florida, Gainesville, Florida, May 2002. (advisor: J.C. Principe)

MS Theses

[1]       D. Erdogmus, Optimal Trajectory Tracking Guidance of an Aircraft with Final Velocity Constraint, MS Thesis, Middle East Technical University, Ankara, Turkey, May 1999. (advisor: K. Leblebicioglu)

Books

[2]       J.C. Principe, Information Theoretic Learning: Renyi’s Entropy and Kernel Perspectives, Wiley, 2010. (Book written by Principe in collaboration with many coauthors. D. Erdogmus is coauthor of Ch. 2-6, 8, & Appendix)

[1]       J. Rosca, D. Erdogmus, J.C. Principe, S. Haykin (eds.), Independent Component Analysis and Blind Signal Separation: Proceedings of ICA 2006, LNCS 3889, Springer, Berlin, Germany, 2006.

Book Chapters

[6]       Y. Huang, D. Erdogmus, K.E. Hild II, M. Pavel, S. Mathan, “Mixed Effects Models for Single-Trial ERP Detection in Noninvasive Brain Computer Interface Design”, in Recent Progress in Biomedical Signal Processing (eds. J. Ramirez, J.M. Gorriz, E. Lang), Bentham Scientific Publishers, to appear in 2011.


[5]       D. Erdogmus, J.C. Principe, “Information Theoretic Learning”, in Encyclopedia of Artificial Intelligence (eds. J.R.R. Dopico, J. Dorado, A. Pazos), IGI Global, July 2008.

[4]       D. Erdogmus, U. Ozertem, T. Lan, “Information Theoretic Feature Selection and Projection”, (Chapter 1, pp. 1-22) in Speech, Audio, Image and Biomedical Signal Processing Using Neural Networks (eds. B. Prasad and S.R.M. Prasanna), Springer, 2008.

[3]       D. Erdogmus, J. Cho, J. Lan, M. Motter, J.C. Principe, “Adaptive Local Linear Modeling and Control of Nonlinear Dynamical Systems”, (Chapter 4, pp. 119-152) in Intelligent Control Systems Using Computational Intelligence Techniques, A. Ruano (ed.), IEE Publishing, UK, Apr 2004.

[2]       D. Erdogmus, J.C. Principe, R. Thogulua, “Information Theoretic Organization Principles for Autonomous Multiple-Agents”, (pp. 125-143) Recent Developments in Cooperative Control and Optimization, S. Butenko, R. Murphey, P. Pardalos (eds.), Kluwer Academic Publishers, New York, Nov 2003.

[1]       J.C. Principe, Y.N. Rao, D. Erdogmus, “Error Whitening Wiener Filters: Theory and Algorithms”, (Chapter 10) in Least-Mean-Square Adaptive Filters, S. Haykin, B. Widrow (eds.), Wiley, New York, Sep 2003.

Peer-Reviewed Journals

[x]       E. Bas, D. Erdogmus, “Connectivity of Projected High Dimensional Data Charts on One Dimensional Curves”, Signal Processing, accepted in Mar 2011.

[x]       H. Nezamfar, U. Orhan, S. Purwar, K.E. Hild, B. Oken, D. Erdogmus, “Decoding of Multichannel EEG Activity from the Visual Cortex in Response to Pseudorandom Binary Sequences of Visual Stimuli”, submitted to the International Journal of Imaging Systems and Technology (Special Issue on Brain Interfaces), accepted in Feb 2011.

[x]       E. Bas, D. Erdogmus, “Principal Curves as Skeletons of Tubular Objects: Locally Characterizing the Structures of Axons”, Neuroinformatics, accepted in Dec 2010. (Invited to Special Issue on DIADEM Challenge)


[73]     Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, K.E. Hild II, “A Framework for Rapid Visual Image Search using Single-trial Brain Evoked Responses”, Neurocomputing, vol. 74, pp. 2041-2051, May 2011.

[72]     J. Mak, Y. Arbel, L. Bianchi, D. Erdogmus, L. McCane, J. Minett, D. Ryan, D. Thompson, B. Yuksel, “Optimizing the P300-based Brain Computer Iinterface: Current Status, Limitations, and Future Directions”, Journal of Neural Engineering, vol. 8, no. 2, Apr 2011. (http://dx.doi.org/10.1088/1741-2560/8/2/025003)

[71]     U. Ozertem, D. Erdogmus, “Locally Defined Principal Curves and Surfaces”, Journal of Machine Learning Research, vol. 12, pp. 1249-1286, Apr 2011. (http://www.jmlr.org/papers/volume12/ozertem11a/ozertem11a.pdf)    code

[70]     J. Zupanc, D. Drobne, D. Erdogmus, E. Bas, J. Valant, A. Dobnikar, “Biological Reactivity of Nanoparticles: Mosaics from Optical Microscopy Videos of Giant Lipid Vesicles”, Journal of Biomedical Optics, vol. 16. No. 2, Feb 2011. (http://dx.doi.org/10.1117/1.3533319)

[69]     O. Kyrgyzov, D. Erdogmus, “Numerical Optimization of a Sum-of-Rank-1 Decomposition for n-Dimensional Order-p Symmetric Tensors”, Neurocomputing, vol. 73, no. 16-18, pp. 3323-3327, Oct 2010.

[68]     J. Szumowski, E. Bas, K. Gaarder, E. Schwarz, D. Erdogmus, S. Hayflick, “Measurement of Brain Iron Distribution in Hallevorden-Spatz Syndrome”, Journal of Magnetic Resonance Imaging, vol. 31, no. 2, pp. 482-489, Feb 2010.

[67]     U. Ozertem, D. Erdogmus, “RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection”, IEEE Transactions on Neural Networks, vol. 20, no. 7, pp. 1195-1203, Jul 2009.

[66]     U. Ozertem, D. Erdogmus, “Principal Curve Time Warping”, IEEE Transactions on Signal Processing, vol. 57, no. 6, pp. 2041-2049, Jun 2009.

[65]     J.M. Gorriz, J. Ramirez, S. Cruces-Alvarez, C.G. Puntonet, E.W. Lang, D. Erdogmus, “A Novel LMS Algorithm Applied to Adaptive Noise Cancellation”, IEEE Signal Processing Letters, vol. 16, no. 1, pp. 34-37, Jan 2009.

[64]     U. Ozertem, D. Erdogmus, “Second-Order Volterra System Identification with Noisy Input-Output Measurements”, IEEE Signal Processing Letters, vol. 16, no. 1, pp. 18-21, Jan 2009.

[63]     J.M. Gorriz, J. Ramirez, S. Cruces-Alvarez, D. Erdogmus, C.G. Puntonet, E.W. Lang, “Speech Enhancement in Discontinuous Transmission Systems using the Constrained-Stability Least-Mean Squares Algorithm”, Journal of the Acoustical Society of America, vol. 124, no. 6, pp. 2669-3683, Dec 2008.

[62]     U. Ozertem, I. Uysal, D. Erdogmus, “Continuously Differentiable Sample-Spacing Entropy Estimation”, IEEE Transactions on Neural Networks, vol. 19, no. 11, pp. 1978-1984, Nov 2008.

[61]     M.R. Lightner, D. Erdogmus, “Signal Processing Challenges in Cognitive Assistive Technology”, IEEE Signal Processing Magazine, vol. 25, no. 5, pp. 103-108, Sep 2008.

[60]     P.P. Pokharel, U. Ozertem, D. Erdogmus, J.C. Principe, “Recursive Complex BSS via Generalized Eigendecomposition and Application in Image Rejection for BPSK Source Signal Processing”, Signal Processing, vol. 88, no. 6, pp. 1368-1381, Jun 2008.

[59]     U. Ozertem, D. Erdogmus, R. Jenssen, “Mean Shift Spectral Clustering”, Pattern Recognition, vol. 41, no. 6, pp. 1924-1938, Jun 2008.

[58]     M.C. Dorneich, S.D. Whitlow, S. Mathan, P.M. Ververs, D. Erdogmus, A. Adami, M. Pavel, T. Lan, “Supporting Real-time Cognitive State Classification on a Mobile Individual”, Journal of Cognitive Engineering and Decision Making, vol. 1, no. 3, pp. 240-270, Fall 2007. (Special Issue on Augmented Cognition: Past, Present, and Future)

[57]     A. Hegde, D. Erdogmus, D.S. Shiau, J.C. Principe, C.J. Sackellares, “Clustering Approach to Quantify Long Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalograph”, Computational Intelligence and Neuroscience, vol. 2007, Article ID 83416, 18 pages, Nov 2007.  (Special Issue on EEG/MEG Signal Processing)

[56]     U. Ozertem, D. Erdogmus, “Information Regularized Decision Fusion for Localization with Binary Sensor Networks”, Journal of VLSI Signal Processing Systems, vol. 49, no. 2, Nov 2007. (Special Issue on Data Fusion)

[55]     S. Han, S. Rao, D. Erdogmus, K.H. Jeong, J.C. Principe, “A Minimum Error Entropy Criterion with Self Adjusting Stepsize”, Signal Processing, vol. 87, no. 11, pp. 2733-2745, Nov 2007.

[54]     T. Lan, D. Erdogmus, A. Adami, S. Mathan, M. Pavel, “Feature and Channel Selection for Cognitive State Estimation Using Ambulatory EEG”, Computational Intelligence and Neuroscience, vol. 2007, Article ID 74895, 12 pages, Sep 2007. (Special Issue on Brain Computer Interfaces)

[53]     U. Ozertem, D. Erdogmus, “Nonparametric Snakes”, IEEE Transactions on Image Processing, vol. 16, no. 9, pp. 2361-2368, Sep 2007.

[52]     T. Lan, D. Erdogmus, “Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis”, Journal of VLSI Signal Processing Systems, vol. 48, no. 1-2, pp. 39-52, Aug 2007. (Invited extension of paper from MLSP 2005)

[51]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian Classifier”, IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3262-3271, Jul 2007.

[50]     S.C. Kazmierczak, T.K. Leen, D. Erdogmus, M.A. Carreira-Perpinan, “Reduction of Multi-dimensional Laboratory Data to a Two-dimensional Plot: A Novel Technique for the Identification of Laboratory Error”, Clinical Chemistry and Laboratory Medicine, vol. 45, no. 6, pp. 749-752, Jun 2007.

[49]     R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Information Cut for Clustering Using a Gradient Descent Approach”, Pattern Recognition, vol. 40, no. 3, pp. 796-806, Mar 2007.

[48]     J. Zhao, D. Wu, D. Erdogmus, Y. Fang, Z. He, “Adaptive Motion Estimation Schemes Using Maximum Mutual Information Criterion”, Journal of Wireless Communications and Mobile Computing, vol. 7, no. 2, pp. 205-215, Feb 2007. (Special Issue on Video Communications for 4G Wireless Systems)

[47]     J. Cho, J.C. Principe, D. Erdogmus, M.A. Motter, “Quasi Sliding Mode Control Strategy Based on Multiple Linear Models”, Neurocomputing, vol. 70, no. 4-6, pp. 960-974, Jan 2007.

[46]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Some Equivalences Between Kernel Methods and Information Theoretic Methods”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 49-65,  Nov 2006. (Invited paper for MLSP’04 special issue)

[45]     A. Hegde, D. Erdogmus, Y.N. Rao, H. Peddaneni,  U. Ozertem, J.C. Principe, “Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 85-95,  Nov 2006. (Invited paper for MLSP’04 special issue)

[44]     D. Erdogmus, R. Jenssen, Y.N. Rao, J.C. Principe, “Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing”, JVLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 67-83,  Nov 2006. (Invited paper for MLSP’04 special issue)

[43]     D. Erdogmus, J.C. Principe, “From Linear Adaptive Filtering to Nonlinear Information Processing”, IEEE Signal Processing Magazine, vol. 23, no. 6, pp. 14-33, Nov 2006.

[42]     R. Jenssen, J.C. Principe, D. Erdogmus, T. Eltoft, “Cauchy-Schwarz Divergence and Parzen Windowing: Connections to Graph Theory and Mercer Kernels”, Journal of Franklin Institute, vol. 343, no. 6, pp. 614-629, Sep 2006. (Invited extension of Best Student Paper from ICASSP 2005)

[41]     C.D. Fuller, C.R. Thomas, S. Schwartz, N. Golden, J. Ting, A. Wong, D. Erdogmus, T.J. Scarbrough, “Method Comparison of Ultrasound and Kilovoltage X-Ray Fiducial Marker Imaging for Prostate Radiotheraphy Targeting”, Physics in Medicine and Biology, vol. 51, pp. 4981-4993, Sep 2006.

[40]     K.E. Hild II, D. Erdogmus, K. Torkkola, J.C. Principe, “Feature Extraction Using Information-Theoretic Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1385-1392, Sep 2006.

[39]     U. Ozertem, D. Erdogmus, R. Jenssen, “Spectral Feature Projections that Maximize Shannon Mutual Information with Class Labels”, Pattern Recognition, vol. 39, no. 7, pp. 1241-1252, July 2006.

[38]     S.P. Kim, J.C. Sanchez, Y.N. Rao, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, “A Comparison of Optimal MIMO Linear and Nonlinear Models for Brain-Machine Interfaces”, Journal of Neural Engineering, vol. 3, pp. 145-161, May 2006.

[37]     J. Cho, J.C. Principe, D. Erdogmus, M.A. Motter, “Modeling and Inverse Controller Design for an Unmanned Aerial Vehicle Based on the Self Organizing Map”, IEEE Transactions on Neural Networks, vol. 17, no. 2, pp. 445-460, 2005. (Special Issue on Neural Networks for Feedback Control Systems)

[36]     K.E. Hild II, D. Erdogmus, J.C. Principe, “An Analysis of Entropy Estimators for Blind Source Separation”, Signal Processing, vol. 86, no. 1, pp. 182-194, 2006.

[35]     K.E. Hild II, D. Erdogmus, J.C. Principe, “Experimental Upper Bound for the Performance of Convolutive Source Separation Methods”, IEEE Transactions on Signal Processing, vol. 54, no. 2, pp. 627-635, 2006.

[34]     S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Sanchez, M.A. Nicolelis, J.C. Principe, “Determining Patterns in Neural Activity for Reaching Movements Using Non-Negative Matrix Factorization”, EURASIP Journal of Applied Signal Processing, vol. 2005, no. 19, pp. 3113-3121, 2005. (Special Issue on Trends in Brain-Computer Interfaces)

[33]     Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Fast Error Whitening Algorithms for System Identification and Control with Noisy Data”, Neurocomputing, vol. 69, no. 1-3, pp. 158-181, 2005. (Invited paper for NNSP’03 Special Issue)

[32]     A. Hegde, D. Erdogmus, J.C. Principe, “Quantifying Spatio-Temporal Dependencies in Epileptic ECOG”, Signal Processing, vol. 85, no. 11, pp. 2082-2100, 2005. (Special Issue on Neuronal Coordination in the Brain: A Signal Processing Perspective)

[31]     K.E. Hild II, D. Pinto, D. Erdogmus, J.C. Principe, “Convolutive Blind Source Separation by Minimizing Mutual Information Between Segments of Signals”, IEEE Transactions on Circuits and Systems I, vol. 52, no. 10, pp. 2188-2196, 2005.

[30]     K.H. Jeong, J.W. Xu, D. Erdogmus, J.C. Principe, “A New Classifier Based on Information Theoretic Learning with Unlabeled Data”, Neural Networks, vol. 18, no. 5-6, pp. 719-726, 2005 (Invited paper for IJCNN’05 Special Issue).

[29]     J.C. Sanchez, D. Erdogmus, M. Nicolelis, J. Wessberg, J.C. Principe, “Interpreting Spatial and Temporal Neural Activity Through a Recurrent Neural Network Brain Machine Interface”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 13, no. 2, pp.213-219, 2005.

[28]     D. Erdogmus, R. Agrawal, J.C. Principe, “A Mutual Information Extension to the Matched Filter”, Signal Processing, vol. 85, no. 5, pp. 927-935, 2005. (Special Issue on Information Theoretic Signal Processing)

[27]     D. Erdogmus, O. Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Linear-Least-Squares Initialization of Multilayer Perceptrons Through Backpropagation of the Desired Response”, IEEE Transactions on Neural Networks, vol. 16, no. 2, pp. 325-337, 2005.    code

[26]     Y.N. Rao, D. Erdogmus, J.C. Principe, “Error Whitening Criterion for Adaptive Filtering: Theory and Algorithms” IEEE Transactions on Signal Processing, vol. 53, no. 3, pp. 1057-1069, 2005.

[25]     M. Lazaro, I. Santamaria, D. Erdogmus, K.E. Hild II, C. Pantaleon, J.C. Principe, “Stochastic Blind Equalization Based on PDF Fitting Using Parzen Estimator”, IEEE Transactions on Signal Processing, vol. 53, no. 2, pp. 696-704, 2005.

[24]     T. Lehn-Schioler, A. Hegde, D. Erdogmus, J.C. Principe, “Vector Quantization Using Information Theoretic Concepts”, Natural Computing, vol. 4, pp. 39-51, 2005.

[23]     J. Lan, J. Cho, D. Erdogmus, J.C. Principe, M. Motter, J. Xu, “Local Linear PID Controllers for Nonlinear Control”, International Journal of Control and Intelligent Systems, vol. 33, no. 1, pp. 26-35, 2005. (Special Issue on Nonlinear Adaptive PID Control)

[22]     D. Erdogmus, Y.N. Rao, H. Peddaneni, A. Hegde, J.C. Principe, “Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation”, EURASIP Journal of Applied Signal Processing, vol. 2004, no. 13, pp. 2034-2041, 2004.

[21]     D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, “Image Construction Methods for Phased Array Magnetic Resonance Imaging”, Journal Magnetic Resonance Imaging, vol. 20, pp. 306-314, 2004.

[20]     V. Sindhwani, S. Rakshit, D. Deodhar, D. Erdogmus, J.C. Principe, P. Niyogi, “Feature Selection in MLPs and SVMs based on Maximum Output Information”, IEEE Transactions on Neural Networks, vol. 15, no. 4, pp. 937-948, 2004. (Special Issue on Information Theoretic Learning)

[19]     D. Erdogmus, K.E. Hild II, M. Lazaro, I. Santamaria, J.C. Principe, “Adaptive Blind Deconvolution of Linear Channels Using Renyi’s Entropy with Parzen Estimation”, IEEE Transactions on Signal Processing, vol. 52, no. 6, pp. 1489-1498, 2004.

[18]     D. Erdogmus, J.C. Principe, “Lower and Upper Bounds for Misclassification Probability Based on Renyi’s Information”, Journal of VLSI Signal Processing Systems, vol. 37, no. 2/3, pp. 305-317, 2004. (Invited paper for Special Issue on Machine Learning for Signal Processing)

[17]     D. Erdogmus, E.G. Larsson, R. Yan, Jose C. Principe, J.R. Fitzsimmons, “Measuring the Signal-to-Noise-Ratio in Magnetic Resonance Imaging: A Caveat”, Signal Processing, vol. 84, no. 6, pp. 1035-1040, 2004.

[16]     D. Erdogmus, E.G. Larsson, R. Yan, J.C. Principe, J.R. Fitzsimmons, “Asymptotic SNR-Performance of Some Image Combination Techniques for Phased-Array MRI”, Signal Processing, vol. 84, no. 6, pp. 997-1003, 2004.

[15]     D. Erdogmus, K.E. Hild II, Y.N. Rao, J.C. Principe, “Minimax Mutual Information Approach for Independent Components Analysis”, Neural Computation, vol. 16, no. 6, pp. 1235-1252, 2004.

[14]     S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, “Divide-and-Conquer Approach for Brain Machine Interfaces: Nonlinear Mixture of Competitive Local Linear Models”, Neural Networks, vol. 16, no. 5-6, pp. 865-871, 2003. (Invited Paper for IJCNN’03 Special Issue on Advances in Neural Networks Research)

[13]     Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Stochastic Error Whitening Algorithm for Linear Filter Estimation with Noisy Data”, Neural Networks, vol. 16, no. 5-6, pp. 873-880, 2003. (Invited Paper for IJCNN’03 Special Issue on Advances in Neural Networks Research)

[12]     D. Erdogmus, J.C. Principe, K.E. Hild II, “On-Line Entropy Manipulation: Stochastic Information Gradient”, IEEE Signal Processing Letters, vol. 10, no. 8, pp. 242-245, 2003.

[11]     E.G. Larsson, D. Erdogmus, R. Yan, J.C. Principe, J.R. Fitzsimmons, “SNR-Optimality of Sum-of-Squares Reconstruction for Phased-Array Magnetic Resonance Imaging”, Journal of Magnetic Resonance, vol. 163, no. 1, pp. 121-123, 2003.

[10]     D. Erdogmus, J.C. Principe, “Convergence Properties and Data Efficiency of the Minimum Error Entropy Criterion in ADALINE Training”, IEEE Transactions on Signal Processing, vol. 51, no. 7, pp. 1966-1978, 2003.

[9]       D. Erdogmus, Y.N. Rao, K.E. Hild II, J.C. Principe, “Simultaneous Principal Component Extraction with Application to Adaptive Blind Multiuser Detection”, EURASIP Journal on Applied Signal Processing, vol. 2002, no. 12, pp. 1473-1484, 2002. (Special Issue on Multiuser Detection and Blind Estimation)

[8]       D. Erdogmus, K.E. Hild II, J.C. Principe, “Blind Source Separation Using Renyi's a-Marginal Entropies”, Neurocomputing, vol. 49, no. 1, pp. 25-38, 2002. (Special Issue on Blind Source Separation and Independent Component Analysis)

[7]       D. Erdogmus, J.C. Principe, “Generalized Information Potential Criterion for Adaptive System Training”, IEEE Transactions on Neural Networks, vol. 13, no. 5, pp. 1035-1044, 2002.

[6]       D. Erdogmus, J.C. Principe, “Insights on the Relationship Between Probability of Misclassification and Information Transfer Through Classifiers”, International Journal of Computers, Systems and Signals, vol. 3, no. 1, pp. 40-54, 2002. (Invited Paper)

[5]       D. Erdogmus, J.C. Principe, “An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems”, IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1780-1786, 2002. (Recipient of the IEEE Signal Processing Society 2003 Young Author Award)

[4]       D. Erdogmus, J.C. Principe, K.E. Hild II, “Beyond Second-Order Statistics for Learning: A Pairwise Interaction Model for Entropy Estimation”, Natural Computing, vol. 1, no.1, pp. 85-108, 2002.

[3]       I. Santamaria, D. Erdogmus, J.C. Principe, “Entropy Minimization for Supervised Digital Communications Channel Equalization”, IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1184-1192, 2002.

[2]       D. Erdogmus, A. U. Genc, J.C. Principe, “A Neural Network Perspective to Extended Luenberger Observers”, Institute of Measurement and Control, vol. 35, pp. 10-16, 2002. (Special Feature on Recent Advances in Neural Networks, Part 2)

[1]       K.E. Hild II, D. Erdogmus, J.C. Principe, “Blind Source Separation Using Renyi's Mutual Information”, IEEE Signal Processing Letters, vol. 8, no. 6, pp. 174-176, 2001. (Corrections in vol. 10, no. 8, pp. 250, Aug 2003)

Peer-Reviewed Conferences

[x]       K.E. Hild II, U. Orhan, D. Erdogmus, B. Roark, B. Oken, S. Purwar, H. Nezamfar, M. Fried-Oken, “An ERP-based Brain-Computer Interface for Text Entry using Rapid Serial Visual Presentation and Language Modeling”, Proceedings of ACL’11, accepted in Apr 2011. (http://www.aclweb.org/anthology-new/)

 

[158]  H. Nezamfar, U. Orhan, D. Erdogmus, K.E. Hild, S. Purwar, B. Oken, M.Fried-Oken, “On Visually Evoked Potentials in EEG Induced by Multiple Pseudorandom Binary Sequences for Brian Computer Interface Design”, ICASSP’2011, May 2011.

[157]  E. Bas, D. Erdogmus, “Polytope Kernel Density Estimates on Delaunay Graphs”, ICASSP’2011, May 2011.

[156]  E. Bas, D. Erdogmus, “Sampling on Locally Defined Principal Manifolds”, ICASSP’2011, May 2011.

[155]  E. Bas, N. Ghadarghadar, D. Erdogmus, “Automated Extraction of Blood Vessel Networks from 3D Microscopy Image Stacks via Multi-scale Principal Curve Tracing”, ISBI 2011, Apr 2011.

[154]  E. Bas, D. Erdogmus, “A Ridge Score with Application to Piecewise Linear Neural Reconstruction”, ISBI 2011, Apr 2011.

[153]  S. You, E. Ataer-Cansizoglu, D. Erdogmus, J. Tanyi, J. Kalpathy-Cramer, “A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning”, ICMLA’2010, Bethesda, Maryland, Dec 2010. (Special Session on Applications in Radiation Therapy).

[152]  S. Dasgupta, M. Fanton, J. Pham, M. Willard, H. Nezamfar, B. Shafai, D. Erdogmus, “Brain Controlled Robotic  Platform Using Steady State Visual Evoked Potentials Acquired by EEG”, AsilomarSSC’2010, Asilomar, California, Nov 2010. (Undergraduate coauthors)

[151]  D. Erdogmus, “Brain-Computer Interfaces: A Timely Opportunity for Project-based Learning”, NAE Frontiers in Engineering Education Workshop, Irvine, California, Dec 2010. (Invited by the National Academy of Engineering)

[150]  E. Bas, D. Erdogmus, “Piecewise Linear Cylinder Models for 3-Dimimensional Axon Segmentation in Brainbow Imagery”, ISBI’2010, Rotterdam, Netherlands, Apr 2010.

[149]  T. Lan, D. Erdogmus, L. Black, J. van Santen, “Identifying Informative Features for ERP Speller Systems based on RSVP Paradigm”, ESANN’2010, Bruges, Belgium, Apr 2010.

[148]  E. Bas, D. Erdogmus, “Principle Curve Tracing”, ESANN’2010, Bruges, Belgium, Apr 2010.

[147]  J. Zupanc, E. Bas, D. Erdogmus, “Analysis of Lipid Vesicle Populations from Microscopy Video Sequences”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[146]  T. Lan, D. Erdogmus, L. Black, J. van Santen, “A Comparison of Different Dimensionality Reduction and Feature Selection Methods for Single Trial ERP Detection”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[145]  K.E. Hild II, S. Mathan, Y. Huang, D. Erdogmus, M. Pavel, “Optimal Set of EEG Electrodes for Rapid Serial Visual Presentation”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[144]  E. Ataer-Cansizoglu, E. Bas, M.A. Yousus, S. You, W. D. D’Souza, D. Erdogmus, “Towards Respiration Management in Radiation Treatment of Lung Tumors: Transferring Regions of Interest from Planning CT to Kilovoltage X-ray Images”, EMBC’2010, Buenos Aires, Argentina, Aug 2010.

[143]  S. van Vaerenbergh, I. Santamaria, P.E. Barbano, U. Ozertem, D. Erdogmus, “Path-based Spectral Clustering for Decoding Fast Time-varying MIMO Channels”, Proceedings of MLSP 2009, pp. 1-6, Grenoble, France, Sep 2009.

[142]  M.F. Talu, D. Erdogmus, “A Hybrid Object Tracking Method for Scaled and Oriented Objects”, Proceedings of INISTA 2009, pp. ???-???, Trabon, Turkey, Jun 2009.

[141]  M.F. Talu, D. Erdogmus, “Real-time Face and Hand Tracking with Correlation”, Proceedings of INISTA 2009, pp. ???-???, Trabon, Turkey, Jun 2009.

[140]  Y. Huang, D. Erdogmus, M. Pavel, K.E. Hild II, S. Mathan, “A Hybrid Generative/Discriminative Method for EEG Evoked Potential Detection”, Proceedings of NER 2009, pp. 283-286, Antalya, Turkey, Apr 2009.

[139]  T. Lan, Y. Huang, D. Erdogmus, “A Comparison of Temporal Windowing Schemes for Single-trial ERP Detection”, Proceedings of NER 2009, pp. 331-334, Antalya, Turkey, Apr 2009.

[138]  E. Sejdic, U. Ozertem, I. Djurovic, D. Erdogmus, “A New Approach for the Reassignment of Time-Frequency Representations”, Proceedings of ICASSP 2009, pp. 2997-3000, Taipei, Taiwan, Apr 2009.

[137]  Y. Huang, D. Erdogmus, M. Pavel, K.E. Hild II, M. Santosh, “Target Detection Using Incremental Learning on Single-trial Evoked Response”, Proceedings of ICASSP 2009, pp. 481-484, Taipei, Taiwan, Apr 2009.

[136]  J. Kalpathy-Cramer, U. Ozertem, W. Hersh, M. Fuss, D. Erdogmus, “Robust Segmentation Using Non-parametric Snakes with Multiple Cues for Applications in Radiation Oncology”, Digital Proceedings of SPIE Medical Imaging 2009 – Image Processing, vol. 7259, Lake Bueno Vista, Florida, Feb 2009. (http://spiedigitallibrary.aip.org/)

[135]  J. Kalpathy-Cramer, U. Ozertem, M. Fuss, D. Erdogmus, “Semi-supervised Segmentation Using Non-parametric Snakes for 3D-CT Applications in Radiation Oncology”, Proceedings of MLSP’08, pp. 109-114, Oct 2008.

[134]  S. Mathan, D. Erdogmus, Y. Huang, M. Pavel, P. Ververs, J. Carciofini, M. Dorneich, S. Whitlow, “Rapid Image Analysis Using Neural Signals”, Proceedings of CHI’08, pp. 3309-3314, Florence, Italy, Apr 2008. 38%

[133]  K.E. Hild, D. Erdogmus, S. Mathan, M. Pavel, “Trellis-based Circle Detection”, Proceedings of MLSP’08, pp. 211-215, Cancun, Mexico, Oct 2008.

[132]  U. Ozertem, D.  Erdogmus, O. Arikan, “Piecewise Smooth Signal Denoising via Principal Curve Projections”, Proceedings of MLSP’08, pp. 426-431, Cancun, Mexico, Oct 2008.

[131]  Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, “Mixed Effects Models for EEG Evoked Response Detection”, Proceedings of MLSP’08, pp. 91-96, Cancun, Mexico, Oct 2008.

[130]  U. Ozertem, D. Erdogmus, “Principal Graphs and Piecewise Linear Subspace Constrained Mean-Shift”, Proceedings of MLSP’08, pp. 438-443, Cancun, Mexico, Oct 2008.

[129]  T. Lan, D. Erdogmus, S.J. Hayflick, U.J. Szumowski, “Phase Unwrapping and Background Correction in MRI”, Proceedings of MLSP’08, pp. 239-243, Cancun, Mexico, Oct 2008.

[128]  Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Detecting EEG Evoked Responses for Target Image Search with Mixed Effect Models”, Proceedings of EMBC’08, Vancouver, BC, Aug 2008.

[127]  E. Bas, D. Erdogmus, U. Ozertem, M.  Pavel, “Towards Fish-Eye Camera Based In-Home Activity Assessment”, Proceedings of EMBC’08, Vancouver, BC, Aug 2008.

[126]  Z. Lu, T.K.  Leen, Y. Huang, D. Erdogmus, “A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances”, Proceedings of ICML’08, pp. 624-631, Helsinki, Finland, Jul 2008.

[125]  O. Kyrgyzov, D. Erdogmus, “Geometric Structure of Sum-of-Rank-1 Decompositions for n-Dimensional order-p Symmetric Tensors”, Proceedings of ISCAS’08, pp. 1340-1343, Seattle WA, May 2008.

[124]  U. Ozertem, D. Erdogmus, “Signal Denoising using Principal Curves: Application to Time Warping”, Proceedings of ICASSP’08, pp. 3709-3712, Las Vegas NV, Mar 2008.

[123]  U. Ozertem, D. Erdogmus, M.A. Carreira-Perpinan, “Density Geodesics for Similarity Clustering”, Proceedings of ICASSP’08, pp. 1977-1980, Las Vegas NV, Mar 2008.

[122]  Y. Huang, D. Erdogmus, Z. Lu, T.K. Leen, “Detecting Mild Cognitive Loss with Continuous Monitoring of Medication Adherence”, Proceedings of ICASSP’08, pp. 609-612, Las Vegas NV, Mar 2008.

[121]  Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Large-scale Image Database Triage via EEG Evoked Responses”, Proceedings of ICASSP’08, pp. 429-432, Las Vegas NV, Mar 2008.

[120]  U. Ozertem, D. Erdogmus, “Local Conditions for Critical and Principal Manifolds”, Proceedings of ICASSP’08, pp. 1893-1896, Las Vegas NV, Mar 2008.

[119]  D. Erdogmus, U. Ozertem, “Nonlinear Coordinate Unfolding via Principal Curve Projections with Application to Nonlinear BSS”, Proceedings of ICONIP 2007, Part II, pp. 488-497, Kitakyushu, Japan, Nov 2007 (published in 2008). (Invited paper for the Special Session on Recent Advances in Blind Source Separation; Barros and Ohnishi)

[118]  S. Han, S. Rao, D. Erdogmus, J.C. Principe, “A Novel Switching Scheme Between Adaptive Information Algorithms”, Proceedings of IJCNN 2007, pp. 2840-2845, Orlando, Florida, USA, Jul 2007.

[117]  U. Ozertem, A. Gruber, D. Erdogmus, “Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient Vector Flow and Kernel Annealing”, Proceedings of IJCNN 2007, pp. 1397-1400, Orlando, Florida, USA, Jul 2007.

[116]  U. Ozertem, D. Erdogmus, “A Nonparametric Approach for Active Contours”, Proceedings of IJCNN 2007, pp. 1407-1410, Orlando, Florida, USA, Jul 2007.

[115]  Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “A Fusion Approach for Image Triage Using Single Trial ERP Detection”, Proceedings of NER 2007, pp. 473-476, Kohala Coast, Hawaii, USA, May 2007.

[114]  M. Pavel, T. Hayes, I. Tsay, D. Erdogmus, A. Paul, N. Larimer, H. Jimison, J. Hunt, “Continuous Assessment of Gait Velocity in Parkinson’s Disease from Unobtrusive Measurements”, Proceedings of NER 2007, pp. 700-703, Kohala Coast, Hawaii, USA, May 2007.

[113]  D. Erdogmus, U. Ozertem, “Self-Consistent Locally Defined Principal Surfaces”, Proceedings of ICASSP 2007, vol. 2, pp. 549-552, Honolulu, Hawaii, USA, Apr 2007.

[112]  P. Pokharel, U. Ozertem, D. Erdogmus, J.C. Principe, “Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices”, Proceedings of ICASSP 2007, vol. 2, pp. 645-648, Honolulu, Hawaii, USA, Apr 2007.

[111]  D. Erdogmus, U. Ozertem, “Information Regularized Decision Fusion for Target Localization with Binary Sensor Networks”, Proceedings of ICASSP 2007, vol. 2, pp. 1021-1024, Honolulu, Hawaii, USA, Apr 2007.

[110]  R. Jenssen, T. Eltoft, M. Girolami, D. Erdogmus, “Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm”, Advances in NIPS 19, pp. 633-640, 2007. (NIPS’06)

[109]  S. Mathan, P. Ververs, M. Dorneich, S. Whitlow, J. Carciofini, D. Erdogmus, M. Pavel, C. Huang, T. Lan, A. Adami, “Neurotechnology for Image Analysis: Searching for Needles in Haystacks Efficiently”, Proceedings of AUGCOG 2006 (jointly with HFES 2006), pp. ???, San Francisco, California, USA, Oct 2006. (Best Paper Award)

[108]  Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks”, Proceedings of EMBC 2006, pp. 3369-3372, New York City, New York, USA, Sep 2006.

[107]  U. Ozertem, D. Erdogmus, “Maximum Entropy Approximation for Kernel Machines”, Proceedings of MLSP 2006, pp. 349-352, Maynooth, Ireland, Sep 2006.

[106]  U. Ozertem, D. Erdogmus, “Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution”, Proceedings of IJCNN 2006, pp. 4892-4897, Vancouver, British Columbia, Canada, Jul 2006.

[105]  Y. Huang, D. Erdogmus, S. Mathan, M. Pavel, “Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks”, Proceedings of IJCNN 2006, pp. 1136-1142, Vancouver, British Columbia, Canada, Jul 2006.

[104]  T. Lan, D. Erdogmus, U. Ozertem, Y. Huang, “Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection”, Proceedings of IJCNN 2006, pp. 5034-5039, Vancouver, British Columbia, Canada, Jul 2006.

[103]  T. Lan, D. Erdogmus, M. Pavel, S. Mathan, “Automatic Frequency Band Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces”, Proceedings of IJCNN 2006, pp. 4650-4655, Vancouver, British Columbia, Canada, Jul 2006.

[102]  R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm”, Proceedings of IJCNN 2006, pp. 4904-4911, Vancouver, British Columbia, Canada, Jul 2006.

[101]  U. Ozertem, D. Erdogmus, “Mean Shift Spectral Clustering for Perceptual Image Segmentation”, Proceedings of ICASSP 2006, vol. 2, pp ???, Toulouse, France, May 2006. (Best Student Paper Finalist)

[100]  D. Erdogmus, M.A. Carreira Perpinan, U. Ozertem, “Kernel Density Estimation, Affinity-Based Clustering, and Typical Cuts”, Proceedings of ICASSP 2006, vol. 5, pp ???, Toulouse, France, May 2006.

[99]     O. P. Pokharel, J.W. Xu, D. Erdogmus, J.C. Principe, “A Closed Form Solution for a Nonlinear Wiener Filter”, Proceedings of ICASSP 2006, vol. 3, pp ???, Toulouse, France, May 2006.

[98]     S. Mathan, S. Whitlow, D. Erdogmus, M. Pavel, P. Ververs, M. Dorneich, “Neurophysiologically Driven Image Triage: A Pilot Study”, Proceedings of SIGCHI 2006, pp. ???, Montreal, Quebec, Canada, Apr 2006.

[97]     Frederic Vrins, D. Erdogmus, C. Jutten, M. Verleysen, “Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS)”, Proceedings of ICA 2006, pp. 747-754, Charleston, South Carolina, USA, Mar 2006.

[96]     U. Ozertem, D. Erdogmus, T. Lan, “Recursive Generalized Eigendecomposition for Independent Components Analysis”, Proceedings of ICA 2006, pp. 198-205, Charleston, South Carolina, USA, Mar 2006.

[95]     T. Lan, Y. Huang, D. Erdogmus, “A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Featue Ranking”, Proceedings of ICA 2006, pp. 823-830, Charleston, South Carolina, USA, Mar 2006.

[94]     R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Optimizing the Cauchy-Schwarz PDF Divergence for Information Theoretic, Nonparametric Clustering”, Proceedings of EMMCVPR 2005, pp. 34-45, St. Augustine, Florida, Nov 2005.

[93]     A. Hegde, D. Erdogmus, J.C. Principe, “Spatiotemporal Clustering of Epileptic ECOG”, Proceedings of EMBC’05, pp. 4199-4202, Shanghai, China, Sep 2005.

[92]     T. Lan, D. Erdogmus, A. Adami, M. Pavel, S. Mathan, “Salient EEG Channel Selection in Brain Computer Interfaces by Mutual Information Maximization”, Proceedings of EMBC’05, pp. ???, Shanghai, China, Sep 2005.

[91]     S. Mathan, N. Mazaeva, S. Whitlow, A. Adami, D. Erdogmus, T. Lan, M. Pavel, “Sensor-Based Cognitive State Assessment in a Mobile Environment”, Proceedings of AUGCOG’05 (jointly with HCII’05), pp. ???, Las Vegas, Nevada, Jul 2005.

[90]     J. Zhao, D. Erdogmus, C. Huang, D. Wu, Y. Fang, “An Adaptive Motion Estimation Scheme Using Maximum Mutual Information Criteria”, Proceedings of EUSIPCO’05, pp. ???, Antalya, Turkey, Sep 2005.

[89]     I. Santamaria, D. Erdogmus, R. Agrawal, J.C. Principe, “Robust Matched Filtering in the Feature Space”, Proceedings of EUSIPCO’05, pp. ???, Antalya, Turkey, Sep 2005.

[88]     U. Ozertem, D. Erdogmus, I. Santamaria, “Detection of Nonlinearly Distorted Signals Using Mutual Information”, Proceedings of EUSIPCO’05, pp. ???, Antalya, Turkey, Sep 2005.

[87]     T. Lan, A. Adami, D. Erdogmus, M. Pavel, “Estimating Cognitive State Using EEG Signals”, Proceedings of EUSIPCO’05, pp. ???, Antalya, Turkey, Sep 2005.

[86]     U. Ozertem, D. Erdogmus, “Supervised Neural Network Training Using the Minimum Error Entropy Criterion with Variable-Size and Finite-Support Kernel Estimates”, Proceedings of MLSP’05, pp. 67-72, Mystic, Connecticut, Sep 2005.

[85]     A. Hegde, T. Lan, D. Erdogmus, “Order Statistics Based Estimator for Renyi’s Entropy”, Proceedings of MLSP’05, pp. 335-339, Mystic, Connecticut, Sep 2005.

[84]     S. Han, S. Rao, D. Erdogmus, J.C. Principe, “An Improved Minimum Error Entropy Criterion with Self-Adjusting Step-Size”, Proceedings of MLSP’05, pp. 317-322, Mystic, Connecticut, Sep 2005.

[83]     U. Ozertem, D. Erdogmus, “Spectral Clustering with Mean Shift Preprocessing”, Proceedings of MLSP’05, pp. 73-78, Mystic, Connecticut, Sep 2005.

[82]     T. Lan, D. Erdogmus, “Local Linear ICA for Mutual Information Estimation in Feature Selection”, Proceedings of MLSP’05, pp. 3-8, Mystic, Connecticut, Sep 2005.

[81]     U. Ozertem, D. Erdogmus, “Maximally Discriminative Spectral Feature Projections Using Mutual Information”, IJCNN’05, vol. 1, pp. 208-213, Montreal, Quebec, Aug 2005.

[80]     T. Lan, D. Erdogmus, A. Adami, M. Pavel, “Feature Selection by Independent Component Analysis and Mutual Information Maximization in EEG Signal Classification”, Proceedings of IJCNN’05, vol. 5, pp. 3011-3016, Montreal, Quebec, Aug 2005.

[79]     J.W. Xu, D. Erdogmus, J.C. Principe, “Minimum Error Entropy Luenberger Observer”, Proceedings of ACC’05, pp. 1923-1928, Portland, Oregon, Jun 2005.

[78]     D. Erdogmus, A. Adami, M. Pavel, T. Lan, S. Mathan, S. Whitlow, M. Dorneich, “Cognitive State Estimation Based on EEG for Augmented Cognition”, Proceedings of NER’05, pp. 566-569, Arlington, Virginia, Mar 2005.

[77]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian Spectral Classifier”, Proceedings of ICASSP’05, vol. 5, pp. 325-328, Philadelphia, Pennsylvania, Mar 2005. (Best Student Paper Award)

[76]     D. Erdogmus, Y.N. Rao, J.C. Principe, “Supervised Training of Adaptive Systems with Partially Labeled Data”, Proceedings of ICASSP’05, vol. 5, pp. 321-324, Philadelphia, Pennsylvania, Mar 2005.

[75]     R. Yan, G. He, D. Erdogmus, S.P. Kim, J.C. Principe, Y. Liu, “Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection”, Proceedings of ICASSP’05, vol. 2, pp. 473-476, Philadelphia, Pennsylvania, Mar 2005.

[74]     Y.N. Rao, S.P. Kim, J.C. Sanchez, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A. Nicolelis, “Learning Mappings in Brain Machine Interfaces with Echo State Networks”, Proceedings of ICASSP’05, vol. 5, pp. 233-236, Philadelphia, Pennsylvania, Mar 2005.

[73]     J.W. Xu, D. Erdogmus, R. Jenssen, Jose C. Principe, “An Information Theoretic Perspective to Kernel Independent Components Analysis”, Proceedings of ICASSP’05, vol. 5, pp. 249-252, Philadelphia, Pennsylvania, Mar 2005.

[72]     J.R. Fitzsimmons, R. Yan, D. Erdogmus, “MRI Image Reconstruction via Homomorphic Signal Processing”, Proceedings of ICASSP’05, vol. 2, pp. 121-124, Philadelphia, Pennsylvania, Mar 2005.

[71]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space”, Advances in NIPS’04, pp. 625-632, Vancouver, BC, Canada, Dec 2004.

[70]     S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Principe, “Tracking of Multivariate Time-Varying Systems Based on On-Line Variable Selection”, Proceedings of MLSP’04, pp. 123-132, Sao Luis, Brazil, Sep 2004.

[69]     H. Peddaneni, D. Erdogmus, Y.N. Rao, A. Hegde, J.C. Principe, “Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation”, Proceedings of MLSP’04, pp. 83-92, Sao Luis, Brazil, Sep 2004.

[68]     R. Jenssen, D. Erdogmus, J.C. Principe, T. Eltoft, “Towards a Unification of Information Theoretic Learning and Kernel Methods”, Proceedings of MLSP’04, pp. 93-102, Sao Luis, Brazil, Sep 2004.

[67]     D. Erdogmus, R. Jenssen, Y.N. Rao, J.C. Principe, “Multivariate Density Estimation with Optimal Marginal Parzen Density Estimation and Gaussianization”, Proceedings of MLSP’04, pp. 73-82, Sao Luis, Brazil, Sep 2004.

[66]     A. Hegde, D. Erdogmus, J.C. Principe, “Synchronization Analysis of Epileptic ECoG Data Using SOM-Based SI Measure”, Proceedings of EMBC’04, pp. 952-955, San Francisco, California, Sep 2004.

[65]     L. Vielva, I. Santamaria, D. Erdogmus, J.C. Principe, “On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions”, Proceedings of ICA’04, pp. 185-192, Granada, Spain, Sep 2004.

[64]     D. Erdogmus, Y.N. Rao, J.C. Principe, “Gaussianizing Transformations for ICA”, Proceedings of ICA’04, pp. 26-32, Granada, Spain, Sep 2004.

[63]     J.W. Xu, D. Erdogmus, Y.N. Rao, J.C. Principe, “Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures”, Proceedings of ICA’04, pp. 311-318, Granada, Spain, Sep 2004.

[62]     M. Lazaro, I. Santamaria, J. Via, D. Erdogmus, “Blind Equalization of Multilevel Signals Using Support Vector Machines”, Proceedings of EUSIPCO’04, pp. 41-44, Vienna, Austria, Sep 2004.

[61]     A.U. Genc, S. Auddy, D. Erdogmus, S.P. Das, J.C. Principe, “Adaptive Extended Luenberger Observer in State Feedback Control of Nonlinear Dynamical Systems”, Proceedings of MED’04, pp. ???, Kusadasi, Turkey, Jun 2004. (Accepted but not published due to a registration miscommunication. Never resubmitted.)

[60]     Y.N. Rao, S.P. Kim, J.C. Sanchez, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, “Learning Mappings in Brain Machine Interfaces with Echo State Networks”, Proceedings of IJCNN’04, pp. ???, Budapest, Hungary, Jul 2004. (Accepted but not published due to a registration miscommunication, see ICASSP’05.)

[59]     A. Hegde, D. Erdogmus, T. Lehn-Schioler, Y.N. Rao, J.C. Principe, “Vector-Quantization by Density Matching in the Minimum Kullback-Leibler Divergence Sense”, Proceedings of IJCNN’04, pp. 105-109, Budapest, Hungary, Jul 2004.

[58]     D. Erdogmus, Y.N. Rao, J.C. Principe, “Nonlinear Independent Component Analysis by Homomorphic Transformation of the Mixtures”, Proceedings of IJCNN’04, pp. 47-52, Budapest, Hungary, Jul 2004.

[57]     T. Lehn-Schioler, D. Erdogmus, J.C. Principe, “Parzen Particle Filters”, Proceedings of ICASSP’04, vol. 5, pp. 781-784, Montreal, Canada, May 2004.

[56]     D. Erdogmus, R. Yan, E.G. Larsson, J.C. Principe, J.R. Fitzsimmons, “Mixture of Competitive Linear Models for Phased-Array Magnetic Resonance Imaging”, Proceedings of ICASSP’04, vol. 5, pp. 585-588, Montreal, Canada, May 2004.

[55]     J.W. Xu, D. Erdogmus, J.C. Principe, “Minimizing the Fisher Information of the Error in Supervised Adaptive Filter Training”, Proceedings of ICASSP’04, vol. 5, pp. 513-516, Montreal, Canada, May 2004.

[54]     Y.N. Rao, D. Erdogmus, J.C. Principe, “Accurate Linear Parameter Estimation in Colored Noise”, Proceedings of ICASSP’04, vol. 2, p. 689-692, Montreal, Canada, May 2004.

[53]     J.W. Xu, D. Erdogmus, M.C. Ozturk, J.C. Principe, “Recursive Renyi’s Entropy Estimator for Adaptive Filtering”, Proceedings of ISSPIT’03, pp. ?, Darmstadt, Germany, Dec 2003.

[52]     J.C. Sanchez, D. Erdogmus, Y.N. Rao, S.P. Kim, M. Nicolelis, J. Wessberg, J.C. Principe, “Interpreting Neural Activity Through Linear and Nonlinear Models for Brain Machine Interfaces”, Proceedings of EMBC’03, pp. 2160-2163, Cancun, Mexico, Sep 2003.

[51]     A. Hegde, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Gao, “SOM-Based Similarity Index Measure: Quantifying Interactions Between Multivariate Structures”, Proceedings of NNSP’03, pp. 819-828, Toulouse, France, Sep 2003.

[50]     D.E. Marossero, D. Erdogmus, N. Euliano, J.C. Principe, K.E. Hild II, “Independent Components Analysis for Fetal Electrocardiogram Extraction: A Case for the Data Efficient Mermaid Algorithm”, Proceedings of NNSP’03, pp. 399-408, Toulouse, France, Sep 2003.

[49]     Y.N. Rao, D. Erdogmus, G.Y. Rao, J.C. Principe, “Fast Error Whitening Algorithms for System Identification and Control”, Proceedings of NNSP’03, pp. 309-318, Toulouse, France, Sep 2003.

[48]     D. Erdogmus, O. Fontenla-Romero, J.C. Principe, A. Alonso-Betanzos, E. Castillo, R. Jenssen, “Accurate Initialization of Neural Network Weights by Backpropagation of the Desired Response”, Proceedings of IJCNN’03, vol. 3, pp. 2005-2010, Portland, Oregon, Jul 2003.

[47]     B.A. Davis, D. Erdogmus, Y.N. Rao, J.C. Principe,Supervised Synaptic Weight Adaptation for a Spiking Neuron”, Proceedings of IJCNN’03, vol. 4, pp. 2558-2562, Portland, Oregon, Jul 2003.

[46]     Y.N. Rao, D. Erdogmus, J.C. Principe, “Error Whitening Criterion for Linear Filter Estimation”, Proceedings of IJCNN’03, vol. 2, pp. 1447-1452, Portland, Oregon, Jul 2003.

[45]     S.P. Kim, J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, “Modeling the Relation from Motor Cortical Neuronal Firing to Hand Movements Using Competitive Linear Filters and a MLP”, Proceedings of IJCNN’03, vol. 1, pp. 66-70, Portland, Oregon, Jul 2003.

[44]     M.C. Ozturk, J.C. Principe, B. Davis, D. Erdogmus, “Simulation of the Freeman Model of the Olfactory Cortex: A Quantitative Performance Analysis for the DSP Approach”, Proceedings of IJCNN’03, vol. 1, pp. 332-336, Portland, Oregon, Jul 2003.

[43]     R. Jenssen, K.E. Hild II, D. Erdogmus, J.C. Principe, T. EltoftClustering Using Renyi’s Entropy”, Proceedings of IJCNN’03, vol. 1, pp. 523-528, Portland, Oregon, Jul 2003.

[42]     R. Jenssen, D. Erdogmus, K.E. Hild II, J.C. Principe, T. Eltoft, “Information Force Clustering Using Directed Trees”, Proceedings of EMMCVPR’03, pp. 68-72, Lisbon, Portugal, Jul 2003.

[41]     O. Fontenla-Romero, D. Erdogmus, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Linear Least-Squares Based Methods for Neural Networks Learning”, Proceedings of ICANN’03 (Springer Lecture Notes in Computer Science, vol. 1714), pp. 84-91, Istanbul, Turkey, Jun 2003.

[40]     D. Erdogmus, Y.N. Rao, M.C. Ozturk, L.Vielva, J.C. Principe, “On the Convergence of SIPEX: A Simultaneous Principal Components Extraction Algorithm”, Proceedings of ICASSP’03, vol. 2, pp. 697-700, Hong Kong, Apr 2003.

[39]     S.P. Kim, Y.N. Rao, D. Erdogmus, J.C. Principe, “A Hybrid Subspace Projection Method for System Identification”, Proceedings of ICASSP’03, vol. 6, pp. VI_321-VI_324, Hong Kong, Apr 2003.

[38]     M. Lazaro, I. Santamaria, C. Pantaleon, D. Erdogmus, J.C. Principe, “Matched Pdf-Based Blind Equalization”, Proceedings of ICASSP’03, vol. 4, pp. IV_297-IV_300, Hong Kong, Apr 2003.

[37]     R. Yan, D. Erdogmus, E.G. Larsson, J.C. Principe, J.R. Fitzsimmons, “Image Combination for High-Field Phased-Array MRI”, Proceedings of ICASSP’03, vol. 5, pp. V_1-V_4, Hong Kong, Apr 2003.

[36]     C.A. Lai, D. Erdogmus, J.C. Principe, “Echo Cancellation by Global Optimization of Kautz Filters Using an Information Theoretic Criterion”, Proceedings of ICASSP’03, vol. 6, pp. VI_197-VI-200, Hong Kong, Apr 2003.

[35]     D. Erdogmus, Y.N. Rao, J.C. Principe, O. Fontenla-Romero, A. Alonso-Betanzos, “Recursive Least Squares for an Entropy Regularized MSE Cost Function”, Proceedings of ESANN’03, pp. 451-455, Bruges, Belgium, Apr 2003.

[34]     O. Fontenla-Romero, D. Erdogmus, J.C. Principe, A. Alonso-Betanzos, E. Castillo, “Accelerating the Convergence Speed of Neural Network Learning Methods Using Least Squares”, Proceedings of ESANN’03, pp. 255-260, Bruges, Belgium, Apr 2003.

[33]     R. Thogulua, D. Erdogmus, J.C. Principe, “Self-Organization of Multiple Agents Using Information Theoretic Interactions”, Proceedings of ICONS’03, pp. 574-579, Faro, Portugal, Apr 2003.

[32]     L. Vielva, Y. Pereiro, D. Erdogmus, J.C. Principe, “Inversion Techniques for Underdetermined BSS in an Arbitrary Number of Dimensions”, Proceedings of ICA’03, pp. 131-136, Nara, Japan, Apr 2003.

[31]     D. Erdogmus, K.E. Hild II, Y.N. Rao, J.C. Principe, “Independent Components Analysis Using Jaynes’ Maximum Entropy Principe”, Proceedings of ICA’03, pp. 385-390, Nara, Japan, Apr 2003.

[30]     D. Erdogmus, A. Hegde, K.E. Hild II, M.C. Ozturk, J.C. Principe, “A Brute Force Analytical Formulation of the Independent Components Analysis Solution”, Proceedings of ICA’03, pp. 791-796, Nara, Japan, Apr 2003.

[29]     M. Lazaro, I. Santamaria, C. Pantaleon, D. Erdogmus, K.E. Hild II, J.C. Principe, “Blind Equalization by Sampled PDF Fitting”, Proceedings of ICA’03, pp. 1041-1046, Nara, Japan, Apr 2003.

[28]     J.C. Sanchez, D. Erdogmus, Y.N. Rao, J.C. Principe, M. Nicolelis, J. Wessberg, “Learning the Contributions of the Motor, Premotor, and Posterior Parietal Cortices for Hand Trajectory Reconstruction in a Brain Machine Interface”, Proceedings of NER’03, pp. 59-62, Capri Island, Italy, Mar 2003.

[27]     J.C. Sanchez, S.P. Kim, D. Erdogmus, Y.N. Rao, J.C. Principe, J. Wessberg, M. Nicolelis, “Input-Output Mapping Performance of Linear and Nonlinear Models for Estimating Hand Trajectories from Cortical Neuronal Firing Patterns”, Proceedings of NNSP’02, pp. 139-148, Martigny, Switzerland, Sep 2002.

[26]     D. Erdogmus, J.C. Sanchez, J.C. Principe, “Modified Kalman Filter Based Method for Training State-Recurrent Multilayer Perceptrons”, Proceedings of NNSP’02, pp. 219-228, Martigny, Switzerland, Sep 2002.

[25]     D. Erdogmus, J.C. Principe, S.P. Kim, J.C. Sanchez, “A Recursive Renyi's Entropy Estimator”, Proceedings of NNSP’02, pp. 209-217, Martigny, Switzerland, Sep 2002.

[24]     D. Erdogmus, J.C. Principe, K.E. Hild II, “Do Hebbian Synapses Estimate Entropy?” Proceedings of NNSP’02, pp. 199-208, Martigny, Switzerland, Sep 2002.

[23]     G. K. Thampi, J.C. Principe, J. Cho, D. Erdogmus, M.A. Motter, “Adaptive Inverse Control Using SOM Based Multiple Models”, Proceedings of CONTROLO’02, pp. 278-282, Aveiro, Portugal, Sep 2002.

[22]     N. Obolensky, D. Erdogmus, J.C. Principe, “A Time-Varying Kalman Filter Applied to Moving Target Tracking”, Proceedings of CONTROLO’02, pp. 418-422, Aveiro, Portugal, Sep 2002.

[21]     D. Erdogmus, J.C. Principe, G.K. Thampi, “Adaptive Linear Observer for Nonlinear Systems”, Proceedings of CONTROLO’02, pp. 56-60, Aveiro, Portugal, Sep 2002.

[20]     L. Vielva , I. Santamaria, C. Pantaleon , J. Ibanez, D. Erdogmus, J.C. Principe, “Estimation of the Mixing Matrix for Underdetermined Blind Source Separation Using Spectral Estimation Techniques”, Proceedings of EUSIPCO’02,  vol. 1, pp. 557-560, Toulouse, France, Sep 2002.

[19]     D. Erdogmus, J.C. Principe, L. Vielva, “Blind Deconvolution with Renyi’s Minimum Entropy”, Proceedings of EUSIPCO’02, vol. 1, pp. 557-560, Toulouse, France, Sep 2002.

[18]     D. Erdogmus, Y.N. Rao, J.C. Principe, O. Fontenla-Romero, L. Vielva, “An Efficient, Robust, and Fast Converging Principal Components Extraction Algorithm: SIPEX-G”, Proceedings of EUSIPCO’02, vol. 2, pp. 335-338, Toulouse, France, Sep 2002.

[17]     D. Erdogmus, K.E. Hild II, J.C. Principe, L. Vielva, “Blind Separation of Uncorrelated Sources via Principal Components Analysis of Observations for a Symmetric Mixing Matrix”, Proceedings of EUSIPCO’02, vol. 2, pp. 75-78, Toulouse, France, Sep 2002.

[16]     D. Erdogmus, J.C. Principe, L. Vielva, D. Luengo, “Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems”, Proceedings of ICANN’02, pp. 456-461, Madrid, Spain, Aug 2002.

[15]     J.C. Sanchez, D. Erdogmus, J.C. Principe, J. Wessberg, M. Nicolelis, “A Comparison Between Nonlinear Mappings and Linear State Estimation to Model the Relation from Motor Cortical Neuronal Firing to Hand Movements”, Proceedings of SAB’02 Workshop on Motor Control in Humans and Robots: On the Interplay of Real Brains and Artificial Devices, Jose M. Carmena, George Maistros (eds.), University of Edinburgh, Scotland, pp. 59-65, Aug 2002.

[14]     L. Vielva, D. Erdogmus, C. Pantaleon, I. Santamaria, J. Pereda, J.C. Principe, “Underdetermined Blind Source Separation in a Time-Varying Environment”, Proceedings of ICASSP’02, vol. 3, pp. 3049-3052, Orlando, Florida, May 2002.

[13]     D. Erdogmus, Y.N. Rao, J.C. Principe, J. Zhao, K.E. Hild II, “Simultaneous Extraction of Principal Components Using Givens Rotations and Output Variances”, Proceedings of ICASSP’02, vol. 1, pp. 1069-1072, Orlando, Florida, May 2002.

[12]     K.E. Hild II, D. Erdogmus, J.C. Principe, “Blind Source Separation of Time-Varying, Instantaneous Mixtures Using an On-Line Algorithm”, Proceedings of ICASSP’02, vol. 1, pp. 993-996, Orlando, Florida, May 2002.

[11]     K.E. Hild II, D. Erdogmus, J.C. Principe, “On-Line Minimum Mutual Information Method for Time-Varying Blind Source Separation”, Proceedings of ICA’01, pp. 126-131, San Diego, California, Dec 2001.

[10]     D. Erdogmus, L. Vielva, J.C. Principe, “Nonparametric Estimation and Tracking of the Mixing Matrix for Underdetermined Blind Source Separation”, Proceedings of ICA’01, pp. 189-194, San Diego, California, Dec 2001.

[9]       L. Vielva, D. Erdogmus, J.C. Principe, “Underdetermined Blind Source Separation Using a Probabilistic Source Sparsity Model”, Proceedings of ICA’01, pp. 675-679, San Diego, California, Dec 2001.

[8]       D. Erdogmus, J.C. Principe, “An On-Line Adaptation Algorithm for Adaptive System Training with Minimum Error Entropy: Stochastic Information Gradient”, Proceedings of ICA’01, pp. 7-12, San Diego, California, Dec 2001.

[7]       D. Erdogmus, D. Rende, J.C. Principe, T.F. Wong, “Nonlinear Channel Equalization Using Multilayer Perceptrons with Information-Theoretic Criterion”, Proceedings of NNSP’01, pp. 443-451, Falmouth, Massachusetts, Sep 2001.

[6]       D. Erdogmus, J.C. Principe, “Convergence Analysis of the Information Potential Criterion in ADALINE Training”, Proceedings of NNSP’01, pp. 123-132, Falmouth, Massachusetts, Sep 2001.

[5]       D. Erdogmus, K.E. Hild II, J.C. Principe, “Independent Components Analysis Using Renyi’s Mutual Information and Legendre Density Estimation”, Proceedings of IJCNN’01, vol. 4, pp. 2762-2767, Washington, DC, Jul 2001.

[4]       D. Erdogmus, J.C. Principe, “Entropy Minimization Algorithm for Neural Networks”, Proceedings of IJCNN’01, vol. 4, pp. 3003-3008, Washington, DC, Jul 2001.

[3]       D. Erdogmus, J.C. Principe, “Information Transfer Through Classifiers and its Relation to Probability of Error”, Proceedings of IJCNN’01, vol. 1, pp. 50-54, Washington, DC, Jul 2001.

[2]       J.C. Principe, D. Erdogmus, “From Adaptive Linear to Information Filtering”, Proceedings of AS-SPCC’00, pp. 99-104, Lake Louise, Alberta, Canada, Oct 2000.

[1]       D. Erdogmus, J.C. Principe, “Comparison of Entropy and Mean Square Error Criteria in Adaptive System Training Using Higher Order Statistics”, Proceedings of ICA’00, pp. 75-80, Helsinki, Finland, Jun 2000.

Newsletter/Magazine Article

[1]       D. Erdogmus, J.C. Principe, “Information Theoretic Learning: How It All Started and Where We Are Now”, (ENNS/INNS/JNNS) Tri-Society Newsletter, vol. 4, no. 2, pp. 4-7, 2006.
Non-Refereed or Abstract-Based Workshop Presentations

[18]     Y. Huang, D. Erdogmus, S. Mathan, K.E. Hild II, M. Pavel, “A Hybrid Generative/Discriminative Method for Single-trial Evoked Potential Detection”, Workshop for Women in Machine Learning, Vancouver, BC, Canada, Dec 2010.

[17]     O. Kyrgyzov, D. Erdogmus, “Non-Redundant Tensor Decomposition”, NIPS’2010 TKML Workshop, Whistler, BC, Canada, Dec 2010.

[16]       M Fried-Oken, D. Erdogmus, B. Roark, B. Oken, “Initial Design of an Augmentative Communication Device with Non-invasive Brain-computer Interface, Adaptive Language Modeling and Rapid Serial Visual Presentation (RSVP)”, Oregon Innovation Showcase, Nov 2010.

[15]     D. Erdogmus, K.E. Hild II, B. Oken, B. Roark, M. Fried-Oken, “Initial Design of an AAC Device with Noninvasive BCI, Adaptive Language Modeling, and Rapid Serial Visual Presentation (RSVP)”, BCI Meeting 2010, Asilomar, California, Jun 2010. (abstract and poster)

[14]     K. Weigand, R. Patel, D. Erdogmus, “Leveraging Semantic Frames and Serial Icon Presentation for Message Construction”, ISAAC 2010, Barcelona, Spain, May 2010. (abstract)

[13]     K.E. Hild II, S. Mathan, M. Pavel, D. Erdogmus, “Enhanced Target Detection Using a Hybrid Human-Computer System”, Asilomar 2009, Sep 2009.

[12]     M. Pavel, Y. Huang, K.E. Hild II, S. Mathan, D. Erdogmus, “The Dynamics of Visual Detection Processes in RSVP Paradigms”, SfN 2009, Chicago, Illinois, Oct 2009.

[11]     J. Szumowski, S. Hayflick, K. Gaarderz, E. Bas, E. Schwarz, D. Erdogmus, “Assessment of Iron Distribution in Hallevorden-Spatz Syndrome Using Phase Imaging and Relaxation Rate Measurements”, ISMRM 2009, Honolulu, Hawaii, Apr 2009. (http://www.ismrm.org/09/)

[10]     J. Kalpathy-Cramer, W. Hersh, U. Ozertem, D. Erdogmus, A. Srisuthep, M. Fuss, “Semisupervised Segmentation for Image-Guidance for Stereotactic Body Radiation Therapy (SBRT)”, RSNA 2008, Chicago, Illinois, Nov 2008.

[9]       P.G. Jacobs, D. Erdogmus, E.A. Wan, M. Leek, S.A. Fausti, “Development of an Audio-Visual Dual Sensory Assist Device Using Mutual Information Optimization”, IHCON 2006, Lake Tahoe, California, USA, Aug 2006.

[8]       D. Erdogmus, M. Pavel, S. Mathan, T. Ververs, M. Dorneich, S. Whitlow, “Neurotechnology for Inteligence Analysts: An Integrated Systems Approach – Optimal Nonlinear Event Related Potential Detection Filters”, DARPA/NIA Kick-Off Meeting, Chantilly, Virginia, Oct 2005.

[7]       R. Thogulua, D. Erdogmus, J.C. Principe, “Self-Organization of Multiple Agents Using Information Theoretic Interactions”, Conference on Cooperative Control and Optimization, Gainesville, Florida, Dec 2002.

[6]       D. Erdogmus, K. Leblebicioglu, “An Intelligent Evasion Law Design for an Aircraft Under Missile Threat”, NATO Symposium on Defense Industries, Ankara, Turkey, Sep 1999.

[5]       D. Erdogmus, K. Leblebicioglu, “Optimal Trajectory Tracking Fuzzy Sliding Mode Guidance”, NATO Symposium on Defense Industries, Ankara, Turkey, Sep 1999.

[4]       D. Erdogmus, K. Leblebicioglu, “Tanimlanmis Uzak Noktalardan Gecerek Hedefe Gidecek Bir Fuze Icin Yorunge Optimizasyonu”, Turkish Symposium on Technological Advances in Defense Industry, Ankara, Turkey, Jun 1999. (In Turkish)

[3]       D. Erdogmus, T. Inci, “Tanimlanmis Iki Fuze Sisteminin Fiyat Verimliliginin Bulanik Mantik Kullanilarak Incelenmesi”, Turkish Symposium on Technological Advances in Defense Industry, Ankara, Turkey, Jun 1999. (In Turkish)

[2]       D. Erdogmus, K. Leblebicioglu, “Fuze Tehdidindeki Ucak Icin Akilli Bir Gudum Sistemi Tasarimi”, Turkish Symposium on Technological Advances in Defense Industry, Ankara, Turkey, Jun 1999. (In Turkish)

[1]       D. Erdogmus, T. Inci, “Turkiye’de Gudum Teknolojisi Calismalari ve TUBITAK-SAGE EGTG: Altyapi Sorunlari, Deneyim ve Bilgi Birikimi”, Turkish Aerospace and Defense Technologies Symposium, Istanbul, Turkey, Apr 1999. (In Turkish)


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