On universal linear prediction of Gaussian data. - Suleyman Serdar Kozat; Andrew C. Singer (ICASSP, 2000)

Further results in multistage adaptive filtering. - Suleyman Serdar Kozat; Andrew C. Singer (ICASSP, 2002)

Universal linear least squares prediction: Upper and lower bounds. - Andrew C. Singer; Suleyman Serdar Kozat; Meir Feder (IEEE Trans. Inf. Theory, 2002)

Min-max optimal universal prediction with side information. - Suleyman Serdar Kozat; Andrew C. Singer (ICASSP (5), 2004)

Robust perceptual image hashing via matrix invariants. - Suleyman Serdar Kozat; Ramarathnam Venkatesan; Mehmet Kivanç Mihçak (ICIP, 2004)

Universal piecewise linear least squares prediction. - David Luengo; Suleyman Serdar Kozat; Andrew C. Singer (ISIT, 2004)

Competitive Signal Processing - Suleyman Serdar Kozat (2004)

Feature Adaptation Based on Gaussian Posteriors. - Suleyman Serdar Kozat; Karthik Visweswariah; Ramesh Gopinath (ICASSP (1), 2006)

Universal Context Tree Least Squares Prediction. - Andrew C. Singer; Suleyman Serdar Kozat (ISIT, 2006)

Universal Constant Rebalanced Portfolios with Switching. - Suleyman Serdar Kozat; Andrew C. Singer (ICASSP (3), 2007)

Efficient, Low Latency Adaptation for Speech Recognition. - Suleyman Serdar Kozat; Karthik Visweswariah; Ramesh Gopinath (ICASSP (4), 2007)

Universal Piecewise Linear Regression of Individual Sequences: Lower Bound. - Georg Zeitler; Andrew C. Singer; Suleyman Serdar Kozat (ICASSP (3), 2007)

Universal Piecewise Linear Prediction Via Context Trees. - Suleyman Serdar Kozat; Andrew C. Singer; Georg Zeitler (IEEE Trans. Signal Process., 2007)

Universal switching portfolios under transaction costs. - Suleyman Serdar Kozat; Andrew C. Singer (ICASSP, 2008)

Universal portfolios via context trees. - Suleyman Serdar Kozat; Andrew C. Singer; Andrew J. Bean (ICASSP, 2008)

Optimizing speech recognition grammars using a measure of similarity between hidden Markov models. - Binit Mohanty; John R. Hershey; Peder A. Olsen; Suleyman Serdar Kozat; Vaibhava Goel (ICASSP, 2008)

Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter. - Karen M. Guan; Suleyman Serdar Kozat; Andrew C. Singer (EURASIP J. Adv. Signal Process., 2008)

Universal Switching Linear Least Squares Prediction. - Suleyman Serdar Kozat; Andrew C. Singer (IEEE Trans. Signal Process., 2008)

Comparison of convex combination and affine combination of adaptive filters. - Alper T. Erdogan; Suleyman Serdar Kozat; Andrew C. Singer (ICASSP, 2009)

A performance-weighted mixture of LMS filters. - Suleyman Serdar Kozat; Andrew C. Singer (ICASSP, 2009)

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. - Yasin Yilmaz; Suleyman Serdar Kozat (ICMLA, 2009)

Optimal Distance Bounds on Time-Series Data. - Michail Vlachos; Suleyman Serdar Kozat; Philip S. Yu (SDM, 2009)

Signal processing for underwater acoustic communications. - Andrew C. Singer; Jill K. Nelson; Suleyman Serdar Kozat (IEEE Commun. Mag., 2009)

An Information Theoretic Analysis of Single Transceiver Passive RFID Networks - Yucel Altug; Suleyman Serdar Kozat; Mehmet Kivanç Mihçak (CoRR, 2009)

Embedding and Retrieving Private Metadata in Electrocardiograms. - Suleyman Serdar Kozat; Michail Vlachos; Claudio Lucchese; Helga Van Herle; Philip S. Yu (J. Medical Syst., 2009)

Switching strategies for sequential decision problems with multiplicative loss with application to portfolios. - Suleyman Serdar Kozat; Andrew C. Singer (IEEE Trans. Signal Process., 2009)

Competitive prediction under additive noise. - Suleyman Serdar Kozat; Andrew C. Singer (IEEE Trans. Signal Process., 2009)

A competitive algorithm approach to adaptive filtering. - Andrew C. Singer; Suleyman Serdar Kozat (ISWCS, 2010)

Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations. - Ergun Biçici; Suleyman Serdar Kozat (WMT@ACL, 2010)

Competitive Randomized Nonlinear Prediction Under Additive Noise. - Yasin Yilmaz; Suleyman Serdar Kozat (IEEE Signal Process. Lett., 2010)

Competitive linear estimation under model uncertainties. - Suleyman Serdar Kozat; Alper T. Erdogan (IEEE Trans. Signal Process., 2010)

Steady-state MSE performance analysis of mixture approaches to adaptive filtering. - Suleyman Serdar Kozat; Alper T. Erdogan; Andrew C. Singer; Ali H. Sayed (IEEE Trans. Signal Process., 2010)

Universal randomized switching. - Suleyman Serdar Kozat; Andrew C. Singer (IEEE Trans. Signal Process., 2010)

Unbiased model combinations for adaptive filtering. - Suleyman Serdar Kozat; Andrew C. Singer; Alper T. Erdogan; Ali H. Sayed (IEEE Trans. Signal Process., 2010)

Optimal distance bounds for fast search on compressed time-series query logs. - Michail Vlachos; Suleyman Serdar Kozat; Philip S. Yu (ACM Trans. Web, 2010)

Nonlinear turbo equalization using context trees. - Nargiz Kalantarova; Kyeongyeon Kim; Suleyman Serdar Kozat; Andrew C. Singer (ITA, 2011)

A tree-weighting approach to sequential decision problems with multiplicative loss. - Suleyman Serdar Kozat; Andrew C. Singer; Andrew J. Bean (Signal Process., 2011)

Transient Analysis of Adaptive Affine Combinations. - Suleyman Serdar Kozat; Alper T. Erdogan; Andrew C. Singer; Ali H. Sayed (IEEE Trans. Signal Process., 2011)

Steady state MSE analysis of convexly constrained mixture methods. - Mehmet A. Donmez; Suleyman Serdar Kozat (CIP, 2012)

A novel training method for PHMMs. - Huseyin Ozkan; Arda Akman; Salih Ergüt; Suleyman Serdar Kozat (CIP, 2012)

Adaptive mixture methods using Bregman divergences. - Huseyin A. Inan; Mehmet A. Donmez; Suleyman Serdar Kozat (ICASSP, 2012)

Competitive least squares problem with bounded data uncertainties. - Nargiz Kalantarova; Mehmet A. Donmez; Suleyman Serdar Kozat (ICASSP, 2012)

Transient analysis of convexly constrained mixture methods. - Mehmet A. Donmez; Huseyin Ozkan; Suleyman Serdar Kozat (MLSP, 2012)

Optimal portfolios under transaction costs in discrete time markets. - Mehmet A. Donmez; Sait Tunç; Suleyman Serdar Kozat (MLSP, 2012)

Optimal Distance Estimation Between Compressed Data Series. - Nikolaos M. Freris; Michail Vlachos; Suleyman Serdar Kozat (SDM, 2012)

Hidden Markov Model training with side information. - Huseyin Ozkan; Arda Akman; Suleyman Serdar Kozat (SIU, 2012)

A novel and incremental classification algorithm. - Huseyin Ozkan; Ozgun S. Pelvan; Arda Akman; Suleyman Serdar Kozat (SIU, 2012)

Growth optimal portfolios in discrete-time markets under transaction costs. - Mehmet A. Donmez; Sait Tunç; Suleyman Serdar Kozat (SPAWC, 2012)

Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach - Sait Tunç; Suleyman Serdar Kozat (CoRR, 2012)

A Novel Robust Approach to Least Squares Problems with Bounded Data Uncertainties - Nargiz Kalantarova; Mehmet A. Donmez; Suleyman Serdar Kozat (CoRR, 2012)

A New Analysis of an Adaptive Convex Mixture: A Deterministic Approach - Mehmet A. Donmez; Sait Tunç; Suleyman Serdar Kozat (CoRR, 2012)

A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States - Huseyin Ozkan; Arda Akman; Suleyman Serdar Kozat (CoRR, 2012)

Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties - Mehmet A. Donmez; Huseyin A. Inan; Suleyman Serdar Kozat (CoRR, 2012)

A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms - Mehmet A. Donmez; Sait Tunç; Suleyman Serdar Kozat (CoRR, 2012)

Steady State and Transient MSE Analysis of Convexly Constrained Mixture Methods. - Mehmet A. Donmez; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2012)

Robust Turbo Equalization Under Channel Uncertainties. - Nargiz Kalantarova; Suleyman Serdar Kozat; Alper T. Erdogan (IEEE Trans. Signal Process., 2012)

Competitive and online piecewise linear classification. - Huseyin Ozkan; Mehmet A. Donmez; Ozgun S. Pelvan; Arda Akman; Suleyman Serdar Kozat (ICASSP, 2013)

Growth optimal investment with threshold rebalancing portfolios under transaction costs. - Sait Tunç; Mehmet A. Donmez; Suleyman Serdar Kozat (ICASSP, 2013)

Robust LS Equalization Methods for MIMO Systems Under Bounded Model Uncertainties. - N. Denizcan Vanli; Mehmet A. Donmez; Suleyman Serdar Kozat (CoRR, 2013)

A Comprehensive Approach to Universal Nonlinear Regression Based on Trees. - N. Denizcan Vanli; Suleyman Serdar Kozat (CoRR, 2013)

Adaptive mixture methods based on Bregman divergences. - Mehmet A. Donmez; Huseyin A. Inan; Suleyman Serdar Kozat (Digit. Signal Process., 2013)

Robust estimation in flat fading channels under bounded channel uncertainties. - Mehmet A. Donmez; Huseyin A. Inan; Suleyman Serdar Kozat (Digit. Signal Process., 2013)

Tracking the best level set in a level-crossing analog-to-digital converter. - Suleyman Serdar Kozat; Karen M. Guan; Andrew C. Singer (Digit. Signal Process., 2013)

Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks. - Muhammed O. Sayin; Suleyman Serdar Kozat (IEEE Signal Process. Lett., 2013)

Linear MMSE-Optimal Turbo Equalization Using Context Trees. - Kyeongyeon Kim; Nargiz Kalantarova; Suleyman Serdar Kozat; Andrew C. Singer (IEEE Trans. Signal Process., 2013)

Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach. - Sait Tunç; Mehmet A. Donmez; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2013)

Piecewise nonlinear regression via decision adaptive trees. - N. Denizcan Vanli; Muhammed O. Sayin; Salih Ergüt; Suleyman Serdar Kozat (EUSIPCO, 2014)

Comprehensive lower bounds on sequential prediction. - N. Denizcan Vanli; Muhammed O. Sayin; Salih Ergüt; Suleyman Serdar Kozat (EUSIPCO, 2014)

Communication efficient channel estimation over distributed networks. - Muhammed O. Sayin; N. Denizcan Vanli; Tolga Goze; Suleyman Serdar Kozat (GlobalSIP, 2014)

Energy consumption forecasting via order preserving pattern matching. - N. Denizcan Vanli; Muhammed O. Sayin; Hikmet Yildiz; Tolga Goze; Suleyman Serdar Kozat (GlobalSIP, 2014)

Improved convergence performance of adaptive algorithms through logarithmic cost. - Muhammed O. Sayin; Nuri Denizcan Vanli; Suleyman Serdar Kozat (ICASSP, 2014)

Logarithmic regret bound over diffusion based distributed estimation. - Muhammed O. Sayin; N. Denizcan Vanli; Suleyman Serdar Kozat (ICASSP, 2014)

Robust regularized least squares estimation in the presence of bounded data uncertainties. - Nuri Denizcan Vanli; Suleyman Serdar Kozat; Mehmet A. Donmez (ICASSP, 2014)

Performance analysis of scalar diffusion strategy over distributed network. - Muhammed O. Sayin; Suleyman Serdar Kozat (SIU, 2014)

Robust set-membership filtering algorithms against impulsive noise. - Muhammed O. Sayin; N. Denizcan Vanli; Suleyman Serdar Kozat (SIU, 2014)

Sequential nonlinear regression via context trees. - N. Denizcan Vanli; Suleyman Serdar Kozat (SIU, 2014)

Competitive linear MMSE estimation under structured data uncertainties. - N. Denizcan Vanli; Muhammed O. Sayin; Suleyman Serdar Kozat (SIU, 2014)

Online Piecewise Linear Regression via Infinite Depth Context Trees. - N. Denizcan Vanli; Muhammed O. Sayin; Suleyman Serdar Kozat (CoRR, 2014)

Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks. - N. Denizcan Vanli; Muhammed O. Sayin; Suleyman Serdar Kozat (CoRR, 2014)

Low Complexity Turbo-Equalization: A Clustering Approach. - Kyeongyeon Kim; Jun Won Choi; Suleyman Serdar Kozat; Andrew C. Singer (IEEE Commun. Lett., 2014)

A novel and robust parameter training approach for HMMs under noisy and partial access to states. - Huseyin Ozkan; Arda Akman; Suleyman Serdar Kozat (Signal Process., 2014)

Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load. - Muhammed O. Sayin; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2014)

A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost. - Muhammed O. Sayin; N. Denizcan Vanli; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2014)

A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees. - N. Denizcan Vanli; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2014)

Optimal and Efficient Distributed Online Learning for Big Data. - Muhammed O. Sayin; N. Denizcan Vanli; Ibrahim Delibalta; Suleyman Serdar Kozat (BigData Congress, 2015)

Online Nonlinear Classification for High-Dimensional Data. - N. Denizcan Vanli; Huseyin Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (BigData Congress, 2015)

A Scalable Approach for Online Hierarchical Big Data Mining. - N. Denizcan Vanli; Muhammed O. Sayin; Ibrahim Delibalta; Suleyman Serdar Kozat (BigData Congress, 2015)

Twice-universal piecewise linear regression via infinite depth context trees. - N. Denizcan Vanli; Muhammed O. Sayin; Tolga Goze; Suleyman Serdar Kozat (ICASSP, 2015)

High dimensional sequential regression on manifolds using adaptive hierarchical trees. - Farhan Khan; Ibrahim Delibalta; Suleyman Serdar Kozat (MLSP, 2015)

Online anomaly detection with constant false alarm rate. - Huseyin Ozkan; Fatih Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (MLSP, 2015)

Efficient and distributed tracking of evolving state. - Muhammed O. Sayin; N. Denizcan Vanli; Ibrahim Delibalta; Suleyman Serdar Kozat (MLSP, 2015)

Universal online prediction via order preserving patterns. - N. Denizcan Vanli; Muhammed O. Sayin; Ibrahim Delibalta; Suleyman Serdar Kozat (MLSP, 2015)

A new robust adaptive algorithm for underwater acoustic channel equalization. - Dariush Kari; Muhammed Omer Sayin; Suleyman Serdar Kozat (CoRR, 2015)

Robust least squares methods under bounded data uncertainties. - N. Denizcan Vanli; Mehmet A. Donmez; Suleyman Serdar Kozat (Digit. Signal Process., 2015)

The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. - Muhammed O. Sayin; Yasin Yilmaz; Alper Demir 001; Suleyman Serdar Kozat (Signal Process., 2015)

A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm. - Huseyin Ozkan; Mehmet A. Donmez; Sait Tunç; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2015)

Data Imputation Through the Identification of Local Anomalies. - Huseyin Ozkan; Ozgun Soner Pelvan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds. - Nuri Denizcan Vanli; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2015)

Piecewise linear regression based on adaptive tree structure using second order methods. - Burak C. Civek; Ibrahim Delibalta; Suleyman Serdar Kozat (EUSIPCO, 2016)

Boosted LMS-based piecewise linear adaptive filters. - Dariush Kari; Iman Marivani; Ibrahim Delibalta; Suleyman Serdar Kozat (EUSIPCO, 2016)

Online churn detection on high dimensional cellular data using adaptive hierarchical trees. - Farhan Khan; Ibrahim Delibalta; Suleyman Serdar Kozat (EUSIPCO, 2016)

Adaptive hierarchical space partitioning for online classification. - Osman Fatih Kiliç; N. Denizcan Vanli; Huseyin Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (EUSIPCO, 2016)

Distributed adaptive filtering with reduced communication load. - Ihsan Utlu; Suleyman Serdar Kozat (EUSIPCO, 2016)

Nonlinear regression using second order methods. - Burak C. Civek; Ibrahim Delibalta; Suleyman Serdar Kozat (SIU, 2016)

Big data signal processing using boosted RLS algorithm. - Burak C. Civek; Dariush Kari; Ibrahim Delibalta; Suleyman Serdar Kozat (SIU, 2016)

A tree-based solution to nonlinear regression problem. - Oguzhan Demir; Mohammadreza Mohaghegh Neyshabouri; Ibrahim Delibalta; Suleyman Serdar Kozat (SIU, 2016)

Mixture of set membership filters approach for big data signal processing. - Osman Fatih Kiliç; Muhammed Omer Sayin; Ibrahim Delibalta; Suleyman Serdar Kozat (SIU, 2016)

Online adaptive hierarchical space partitioning classifier. - Osman Fatih Kiliç; N. Denizcan Vanli; Huseyin Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (SIU, 2016)

Mathematical model of causal inference in Social Networks. - Mustafa Simsek; Ibrahim Delibalta; Lemi Baruh; Suleyman Serdar Kozat (SIU, 2016)

Communication efficient distributed estimation. - Ihsan Utlu; Suleyman Serdar Kozat (SIU, 2016)

Online text classification for real life tweet analysis. - Ersin Yar; Ibrahim Delibalta; Lemi Baruh; Suleyman Serdar Kozat (SIU, 2016)

Boosted Adaptive Filters. - Dariush Kari; Ibrahim Delibalta; Suleyman Serdar Kozat (CoRR, 2016)

A Nearly Optimal Contextual Bandit Algorithm. - Mohammadreza Mohaghegh Neyshabouri; Kaan Gökcesu; Selami Ciftci; Suleyman Serdar Kozat (CoRR, 2016)

Network structures and fast distributed MMSE estimation. - Muhammed O. Sayin; Suleyman Serdar Kozat (CoRR, 2016)

Growth optimal investment in discrete-time markets with proportional transaction costs. - N. Denizcan Vanli; Sait Tunç; Mehmet A. Donmez; Suleyman Serdar Kozat (Digit. Signal Process., 2016)

Online Anomaly Detection With Nested Trees. - Ibrahim Delibalta; Kaan Gökcesu; Mustafa Simsek; Lemi Baruh; Suleyman Serdar Kozat (IEEE Signal Process. Lett., 2016)

Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees. - Farhan Khan; Dariush Kari; Ilyas Alper Karatepe; Suleyman Serdar Kozat (IEEE Trans. Big Data, 2016)

Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error. - Huseyin Ozkan; Fatih Ozkan; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2016)

Online Classification via Self-Organizing Space Partitioning. - Huseyin Ozkan; N. Denizcan Vanli; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2016)

Sequential Prediction Over Hierarchical Structures. - N. Denizcan Vanli; Kaan Gökcesu; Muhammed O. Sayin; Hikmet Yildiz; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2016)

Novelty detection using soft partitioning and hierarchical models. - Tolga Ergen; Kaan Gökcesu; Mustafa Simsek; Suleyman Serdar Kozat (SIU, 2017)

Neural networks based online learning. - Tolga Ergen; Suleyman Serdar Kozat (SIU, 2017)

Online distributed nonlinear regression via neural networks. - Tolga Ergen; Suleyman Serdar Kozat (SIU, 2017)

An efficient bandit algorithm for general weight assignments. - Kaan Gökcesu; Tolga Ergen; Selami Çiftçi; Suleyman Serdar Kozat (SIU, 2017)

Sequential churn prediction and analysis of cellular network users - A multi-class, multi-label perspective. - Farhan Khan; Suleyman Serdar Kozat (SIU, 2017)

Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks. - Tolga Ergen; Ali Hassan Mirza; Suleyman Serdar Kozat (CoRR, 2017)

Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis. - Dariush Kari; Iman Marivani; Farhan Khan; Muhammed Omer Sayin; Suleyman Serdar Kozat (Digit. Signal Process., 2017)

Team-optimal distributed MMSE estimation in general and tree networks. - Muhammed O. Sayin; Suleyman Serdar Kozat; Tamer Basar (Digit. Signal Process., 2017)

Resource-aware event triggered distributed estimation over adaptive networks. - Ihsan Utlu; Osman Fatih Kiliç; Suleyman Serdar Kozat (Digit. Signal Process., 2017)

An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach. - Ibrahim Delibalta; Lemi Baruh; Suleyman Serdar Kozat (J. Electr. Comput. Eng., 2017)

Adaptive and efficient nonlinear channel equalization for underwater acoustic communication. - Dariush Kari; Nuri Denizcan Vanli; Suleyman Serdar Kozat (Phys. Commun., 2017)

Highly efficient hierarchical online nonlinear regression using second order methods. - Burak C. Civek; Ibrahim Delibalta; Suleyman Serdar Kozat (Signal Process., 2017)

Computationally highly efficient mixture of adaptive filters. - Osman Fatih Kiliç; Muhammed O. Sayin; Ibrahim Delibalta; Suleyman Serdar Kozat (Signal Image Video Process., 2017)

Highly efficient nonlinear regression for big data with lexicographical splitting. - Mohammadreza Mohaghegh Neyshabouri; Oguzhan Demir; Ibrahim Delibalta; Suleyman Serdar Kozat (Signal Image Video Process., 2017)

Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction. - Burak C. Civek; Suleyman Serdar Kozat (IEEE Trans. Knowl. Data Eng., 2017)

Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines. - Nuri Denizcan Vanli; Muhammed O. Sayin; Ibrahim Delibalta; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2017)

Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks. - Muhammed O. Sayin; N. Denizcan Vanli; Suleyman Serdar Kozat; Tamer Basar (IEEE Trans. Netw. Sci. Eng., 2017)

Recurrent neural networks based online learning algorithms for distributed systems. - Tolga Ergen; Safa Onur Sahin; Suleyman Serdar Kozat (SIU, 2018)

Sequential Outlier Detection based on Incremental Decision Trees. - Mohammadreza Mohaghegh Neyshabouri; Suleyman Serdar Kozat (CoRR, 2018)

Boosted adaptive filters. - Dariush Kari; Ali H. Mirza; Farhan Khan; Huseyin Ozkan; Suleyman Serdar Kozat (Digit. Signal Process., 2018)

Efficient Online Learning Algorithms Based on LSTM Neural Networks. - Tolga Ergen; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences. - Tolga Ergen; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. - Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. - Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. - Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2018)

Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs. - Huseyin Ozkan; Fatih Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (J. Signal Process. Syst., 2018)

Sequential Anomaly Detection Using Nonparametric Density Estimators. - Mine Kerpicci; Suleyman Serdar Kozat; Huseyin Ozkan (SIU, 2019)

Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. - Hakan Gökcesu; Suleyman Serdar Kozat (CoRR, 2019)

Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. - Hakan Gökcesu; Suleyman Serdar Kozat (CoRR, 2019)

An Efficient EKF Based Algorithm For LSTM-Based Online Learning. - Nuri Mert Vural; Suleyman Serdar Kozat (CoRR, 2019)

Nonlinear regression via incremental decision trees. - N. Denizcan Vanli; Muhammed O. Sayin; Mohammadreza Mohaghegh Neyshabouri; Huseyin Ozkan; Suleyman Serdar Kozat (Pattern Recognit., 2019)

Team-optimal online estimation of dynamic parameters over distributed tree networks. - Osman Fatih Kiliç; Tolga Ergen; Muhammed O. Sayin; Suleyman Serdar Kozat (Signal Process., 2019)

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. - Mohammadreza Mohaghegh Neyshabouri; Kaan Gökcesu; Hakan Gökcesu; Huseyin Ozkan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2019)

Nonuniformly Sampled Data Processing Using LSTM Networks. - Safa Onur Sahin; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2019)

Sequential Outlier Detection Based on Incremental Decision Trees. - Kaan Gökcesu; Mohammadreza Mohaghegh Neyshabouri; Hakan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2019)

Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. - Nuri Mert Vural; Hakan Gökcesu; Kaan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2019)

LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm. - Fatih Ilhan; Nuri Mert Vural; Suleyman Serdar Kozat (SIU, 2020)

Online Shortest Path Learning via Convex Optimization. - Nuri Mert Vural; Burak Altas; Fatih Ilhan; Suleyman Serdar Kozat (SIU, 2020)

Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization. - Nuri Mert Vural; Burak Altas; Fatih Ilhan; Suleyman Serdar Kozat (SIU, 2020)

Improved Named Entity Recognition in Turkish News via Word Lookup Methods. - Selim Firat Yilmaz; Ismail Balaban; Suleyman Serdar Kozat (SIU, 2020)

Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization. - Selim Firat Yilmaz; Suleyman Serdar Kozat (CoRR, 2020)

Achieving Online Regression Performance of LSTMs with Simple RNNs. - Nuri Mert Vural; Fatih Ilhan; Selim Firat Yilmaz; Suleyman Serdar Kozat (CoRR, 2020)

A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. - Safa Onur Sahin; Suleyman Serdar Kozat (CoRR, 2020)

Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. - Oguzhan Karaahmetoglu; Fatih Ilhan; Ismail Balaban; Suleyman Serdar Kozat (CoRR, 2020)

Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees. - Oguzhan Karaahmetoglu; Suleyman Serdar Kozat (CoRR, 2020)

PySAD: A Streaming Anomaly Detection Framework in Python. - Selim Firat Yilmaz; Suleyman Serdar Kozat (CoRR, 2020)

A novel distributed anomaly detection algorithm based on support vector machines. - Tolga Ergen; Suleyman Serdar Kozat (Digit. Signal Process., 2020)

Efficient online learning with improved LSTM neural networks. - Ali H. Mirza; Mine Kerpicci; Suleyman Serdar Kozat (Digit. Signal Process., 2020)

Unsupervised Anomaly Detection With LSTM Neural Networks. - Tolga Ergen; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2020)

Energy-Efficient LSTM Networks for Online Learning. - Tolga Ergen; Ali H. Mirza; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2020)

Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels. - Fatih Ilhan; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2020)

AWD3: Dynamic Reduction of the Estimation Bias. - Dogan Can Çiçek; Enes Duran; Baturay Saglam; Kagan Kaya; Furkan B. Mutlu; Suleyman S. Kozat (ICTAI, 2021)

Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay. - Dogan Can Çiçek; Enes Duran; Baturay Saglam; Furkan B. Mutlu; Suleyman S. Kozat (ICTAI, 2021)

Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods. - Baturay Saglam; Enes Duran; Dogan Can Çiçek; Furkan B. Mutlu; Suleyman S. Kozat (ICTAI, 2021)

Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. - Selim Furkan Tekin; Oguzhan Karaahmetoglu; Fatih Ilhan; Ismail Balaban; Suleyman Serdar Kozat (CoRR, 2021)

Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control. - Baturay Saglam; Enes Duran; Dogan Can Çiçek; Furkan B. Mutlu; Suleyman S. Kozat (CoRR, 2021)

Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. - Mine Kerpicci; Huseyin Ozkan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning. - Nuri Mert Vural; Salih Ergüt; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2021)

Face Inpainting with Pre-trained Image Transformers. - Kaan Gonc; Baturay Saglam; Suleyman S. Kozat; Hamdi Dibeklioglu (SIU, 2022)

Improving the Performance of Batch-Constrained Reinforcement Learning in Continuous Action Domains via Generative Adversarial Networks. - Baturay Saglam; Onat Dalmaz; Kaan Gonc; Suleyman S. Kozat (SIU, 2022)

Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces. - Baturay Saglam; Furkan B. Mutlu; Onat Dalmaz; Suleyman S. Kozat (SIU, 2022)

An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control. - Baturay Saglam; Furkan B. Mutlu; Kaan Gonc; Onat Dalmaz; Suleyman S. Kozat (SIU, 2022)

An Optimistic Approach to the Temporal Difference Error in Off-Policy Actor-Critic Algorithms. - Baturay Saglam; Furkan B. Mutlu; Suleyman S. Kozat (SSCI, 2022)

Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms. - Baturay Saglam; Dogan Can Çiçek; Furkan B. Mutlu; Suleyman S. Kozat (CoRR, 2022)

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning. - Baturay Saglam; Dogan Can Çiçek; Furkan B. Mutlu; Suleyman S. Kozat (CoRR, 2022)

Optimal Tracking in Prediction with Expert Advice. - Hakan Gökcesu; Suleyman Serdar Kozat (CoRR, 2022)

Context-Aware Ensemble Learning for Time Series. - Arda Fazla; Mustafa Enes Aydin; Orhun Tamyigit; Suleyman Serdar Kozat (CoRR, 2022)

A hybrid framework for sequential data prediction with end-to-end optimization. - Mustafa E. Aydin; Suleyman Serdar Kozat (Digit. Signal Process., 2022)

Joint optimization of linear and nonlinear models for sequential regression. - Arda Fazla; Mustafa E. Aydin; Suleyman Serdar Kozat (Digit. Signal Process., 2022)

Achieving Online Regression Performance of LSTMs With Simple RNNs. - Nuri Mert Vural; Fatih Ilhan; Selim Firat Yilmaz; Salih Ergüt; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-Aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI. - Baturay Saglam; Doga Gürgünoglu; Suleyman S. Kozat (ICC Workshops, 2023)

User Feedback-based Online Learning for Intent Classification. - Kaan Gönç; Baturay Saglam; Onat Dalmaz; Tolga Çukur; Suleyman Serdar Kozat; Hamdi Dibeklioglu (ICMI, 2023)

Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization. - Mustafa E. Aydin; Arda Fazla; Suleyman S. Kozat (CoRR, 2023)

Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting. - Aysin Tumay; Mustafa E. Aydin; Suleyman S. Kozat (CoRR, 2023)

Actor Prioritized Experience Replay. - Baturay Saglam; Furkan B. Mutlu; Dogan Can Çiçek; Suleyman S. Kozat (J. Artif. Intell. Res., 2023)

Gradient Boosting With Moving-Average Terms for Nonlinear Sequential Regression. - Emirhan Ilhan; Mehmet Yigit Turali; Suleyman S. Kozat (IEEE Signal Process. Lett., 2023)

Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance. - Selim Firat Yilmaz; E. Batuhan Kaynak; Aykut Koç; Hamdi Dibeklioglu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2023)

Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments. - Fatih Ilhan; Oguzhan Karaahmetoglu; Ismail Balaban; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2023)

Handling irregularly sampled signals with gated temporal convolutional networks. - Fatih Aslan; Suleyman Serdar Kozat (Signal Image Video Process., 2023)

Crime prediction with graph neural networks and multivariate normal distributions. - Selim Furkan Tekin; Suleyman Serdar Kozat (Signal Image Video Process., 2023)

Spatiotemporal Sequence Prediction With Point Processes and Self-Organizing Decision Trees. - Oguzhan Karaahmetoglu; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep intrinsically motivated exploration in continuous control. - Baturay Saglam; Suleyman S. Kozat (Mach. Learn., 2023)

Actor Prioritized Experience Replay (Abstract Reprint). - Baturay Saglam; Furkan B. Mutlu; Dogan Can Çiçek; Suleyman S. Kozat (AAAI, 2024)

AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking. - Mehmet Yigit Turali; Mehmet E. Lorasdagi; Ali Taha Koç; Suleyman S. Kozat (CoRR, 2024)

Binary Feature Mask Optimization for Feature Selection. - Mehmet E. Lorasdagi; Mehmet Yigit Turali; Ali Taha Koç; Suleyman S. Kozat (CoRR, 2024)

CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms. - Arda Sarp Yenicesu; Furkan B. Mutlu; Suleyman S. Kozat; Ozgur S. Oguz (CoRR, 2024)

Optimal stochastic gradient descent algorithm for filtering. - Mehmet Yigit Turali; Ali Taha Koç; Suleyman S. Kozat (Digit. Signal Process., 2024)

Numerical Weather Forecasting Using Convolutional-LSTM With Attention and Context Matcher Mechanisms. - Selim Furkan Tekin; Arda Fazla; Suleyman Serdar Kozat (IEEE Trans. Geosci. Remote. Sens., 2024)

Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach. - Baturay Saglam; Dogan Can Çiçek; Furkan Burak Mutlu; Suleyman S. Kozat (Trans. Mach. Learn. Res., 2024)

Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients. - Baturay Saglam; Furkan B. Mutlu; Dogan Can Çiçek; Suleyman Serdar Kozat (Neural Process. Lett., 2024)

TMD-NER: Turkish multi-domain named entity recognition for informal texts. - Selim Firat Yilmaz; Furkan B. Mutlu; Ismail Balaban; Suleyman S. Kozat (Signal Image Video Process., 2024)

Time-Aware and Context-Sensitive Ensemble Learning for Sequential Data. - Arda Fazla; Mustafa E. Aydin; Suleyman S. Kozat (IEEE Trans. Artif. Intell., 2024)

Universal Online Convex Optimization With Minimax Optimal Second-Order Dynamic Regret. - Hakan Gökcesu; Suleyman Serdar Kozat (IEEE Trans. Autom. Control., 2024)

Exploiting residual errors in nonlinear online prediction. - Emirhan Ilhan; Ahmet B. Koc; Suleyman S. Kozat (Mach. Learn., 2024)

Nonlinear Regression With Hierarchical Recurrent Neural Networks Under Missing Data. - Safa Onur Sahin; Suleyman S. Kozat (IEEE Trans. Artif. Intell., 2024)

AFS-BM: enhancing model performance through adaptive feature selection with binary masking. - Mehmet Yigit Turali; Mehmet E. Lorasdagi; Suleyman S. Kozat (Signal Image Video Process., 2024)

An end-to-end optimized feature specific data imputation for recurrent neural networks under missing data. - Safa Onur Sahin; Suleyman Serdar Kozat (Digit. Signal Process., 2025)

Fitting Multiple Machine Learning Models With Performance Based Clustering. - Mehmet E. Lorasdagi; Ahmet B. Koc; Ali Taha Koç; Suleyman S. Kozat (IEEE Signal Process. Lett., 2025)

navTD3: An End-to-End Learning Approach for Indoor Navigation. - Furkan B. Mutlu; Dogan Can Çiçek; Ramazan B. Guler; Suleyman S. Kozat (Signal Image Video Process., 2025)

Hierarchical ensemble-based feature selection for time series prediction. - Hüseyin Karaca; Aysin Tumay; Ali Taha Koç; Suleyman Serdar Kozat (Digit. Signal Process., 2026)