Suleyman Serdar Kozat

213 papers A 2B 4C 1Misc 16Journal 135Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical ensemble-based feature selection for time series prediction. Digit. Signal Process. Hüseyin Karaca, Aysin Tumay, Ali Taha Koç, Suleyman Serdar Kozat
2026	J	`jnl`	Soft Gradient Boosting With Learnable Feature Transforms for Sequential Regression. IEEE Signal Process. Lett. Hüseyin Karaca, Suleyman Serdar Kozat
2025	J	`jnl`	An end-to-end optimized feature specific data imputation for recurrent neural networks under missing data. Digit. Signal Process. Safa Onur Sahin, Suleyman Serdar Kozat
2025	J	`jnl`	Enhancing Deep Deterministic Policy Gradients on Continuous Control Tasks with Decoupled Prioritized Experience Replay. CoRR Mehmet E. Lorasdagi, Dogan Can Çiçek, Furkan Burak Mutlu, Suleyman Serdar Kozat
2025	J	`jnl`	Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression. CoRR Hüseyin Karaca, Suleyman Serdar Kozat
2024	J	`jnl`	Fitting Multiple Machine Learning Models with Performance Based Clustering. CoRR Mehmet E. Lorasdagi, Ahmet B. Koc, Ali Taha Koç, Suleyman Serdar Kozat
2024	J	`jnl`	Numerical Weather Forecasting Using Convolutional-LSTM With Attention and Context Matcher Mechanisms. IEEE Trans. Geosci. Remote. Sens. Selim Furkan Tekin, Arda Fazla, Suleyman Serdar Kozat
2024	J	`jnl`	Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients. Neural Process. Lett. Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman Serdar Kozat
2024	J	`jnl`	Universal Online Convex Optimization With Minimax Optimal Second-Order Dynamic Regret. IEEE Trans. Autom. Control. Hakan Gökcesu, Suleyman Serdar Kozat
2023	J	`jnl`	Crime prediction with graph neural networks and multivariate normal distributions. Signal Image Video Process. Selim Furkan Tekin, Suleyman Serdar Kozat
2023	J	`jnl`	Handling irregularly sampled signals with gated temporal convolutional networks. Signal Image Video Process. Fatih Aslan, Suleyman Serdar Kozat
2023	J	`jnl`	Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat
2023	J	`jnl`	Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance. IEEE Trans. Neural Networks Learn. Syst. Selim Firat Yilmaz, Ergün Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat
2023	J	`jnl`	Spatiotemporal Sequence Prediction With Point Processes and Self-Organizing Decision Trees. IEEE Trans. Neural Networks Learn. Syst. Oguzhan Karaahmetoglu, Suleyman Serdar Kozat
2023	B	`conf`	User Feedback-based Online Learning for Intent Classification. ICMI Kaan Gönç, Baturay Saglam, Onat Dalmaz, Tolga Çukur, Suleyman Serdar Kozat, Hamdi Dibeklioglu
2022	J	`jnl`	A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization. CoRR Mustafa E. Aydin, Suleyman Serdar Kozat
2022	J	`jnl`	A hybrid framework for sequential data prediction with end-to-end optimization. Digit. Signal Process. Mustafa E. Aydin, Suleyman Serdar Kozat
2022	J	`jnl`	Achieving Online Regression Performance of LSTMs With Simple RNNs. IEEE Trans. Neural Networks Learn. Syst. Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Salih Ergüt, Suleyman Serdar Kozat
2022	J	`jnl`	Context-Aware Ensemble Learning for Time Series. CoRR Arda Fazla, Mustafa Enes Aydin, Orhun Tamyigit, Suleyman Serdar Kozat
2022	J	`jnl`	Joint optimization of linear and nonlinear models for sequential regression. Digit. Signal Process. Arda Fazla, Mustafa E. Aydin, Suleyman Serdar Kozat
2022	J	`jnl`	Optimal Tracking in Prediction with Expert Advice. CoRR Hakan Gökcesu, Suleyman Serdar Kozat
2021	J	`jnl`	An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning. IEEE Trans. Signal Process. Nuri Mert Vural, Salih Ergüt, Suleyman Serdar Kozat
2021	J	`jnl`	Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions. CoRR Selim Furkan Tekin, Suleyman Serdar Kozat
2021	J	`jnl`	Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. IEEE Trans. Neural Networks Learn. Syst. Mine Kerpicci, Huseyin Ozkan, Suleyman Serdar Kozat
2021	J	`jnl`	Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. CoRR Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat
2020	J	`jnl`	A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. CoRR Safa Onur Sahin, Suleyman Serdar Kozat
2020	J	`jnl`	A novel distributed anomaly detection algorithm based on support vector machines. Digit. Signal Process. Tolga Ergen, Suleyman Serdar Kozat
2020	J	`jnl`	Achieving Online Regression Performance of LSTMs with Simple RNNs. CoRR Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Suleyman Serdar Kozat
2020	J	`jnl`	Efficient online learning with improved LSTM neural networks. Digit. Signal Process. Ali H. Mirza, Mine Kerpicci, Suleyman Serdar Kozat
2020	J	`jnl`	Energy-Efficient LSTM Networks for Online Learning. IEEE Trans. Neural Networks Learn. Syst. Tolga Ergen, Ali H. Mirza, Suleyman Serdar Kozat
2020	—	`conf`	Improved Named Entity Recognition in Turkish News via Word Lookup Methods. SIU Selim Firat Yilmaz, Ismail Balaban, Suleyman Serdar Kozat
2020	—	`conf`	LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm. SIU Fatih Ilhan, Nuri Mert Vural, Suleyman Serdar Kozat
2020	J	`jnl`	Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments. CoRR Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat
2020	J	`jnl`	Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels. IEEE Trans. Signal Process. Fatih Ilhan, Suleyman Serdar Kozat
2020	J	`jnl`	Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels. CoRR Fatih Ilhan, Suleyman Serdar Kozat
2020	J	`jnl`	Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance. CoRR Selim Firat Yilmaz, Ergün Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat
2020	—	`conf`	Online Shortest Path Learning via Convex Optimization. SIU Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat
2020	J	`jnl`	PySAD: A Streaming Anomaly Detection Framework in Python. CoRR Selim Firat Yilmaz, Suleyman Serdar Kozat
2020	—	`conf`	Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization. SIU Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat
2020	J	`jnl`	Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees. CoRR Oguzhan Karaahmetoglu, Suleyman Serdar Kozat
2020	J	`jnl`	Unsupervised Anomaly Detection With LSTM Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Tolga Ergen, Suleyman Serdar Kozat
2020	J	`jnl`	Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization. CoRR Selim Firat Yilmaz, Suleyman Serdar Kozat
2020	J	`jnl`	Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. CoRR Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat
2019	J	`jnl`	An Efficient EKF Based Algorithm For LSTM-Based Online Learning. CoRR Nuri Mert Vural, Suleyman Serdar Kozat
2019	J	`jnl`	Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Trans. Neural Networks Learn. Syst. Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Hakan Gökcesu, Huseyin Ozkan, Suleyman Serdar Kozat
2019	J	`jnl`	Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. CoRR Hakan Gökcesu, Suleyman Serdar Kozat
2019	J	`jnl`	Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. IEEE Trans. Signal Process. Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat
2019	J	`jnl`	Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays. CoRR Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat
2019	J	`jnl`	Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. CoRR Hakan Gökcesu, Suleyman Serdar Kozat
2019	J	`jnl`	Nonlinear regression via incremental decision trees. Pattern Recognit. N. Denizcan Vanli, Muhammed O. Sayin, Mohammadreza Mohaghegh Neyshabouri, Huseyin Ozkan, Suleyman Serdar Kozat
2019	J	`jnl`	Nonuniformly Sampled Data Processing Using LSTM Networks. IEEE Trans. Neural Networks Learn. Syst. Safa Onur Sahin, Suleyman Serdar Kozat
2019	—	`conf`	Sequential Anomaly Detection Using Nonparametric Density Estimators. SIU Mine Kerpicci, Suleyman Serdar Kozat, Huseyin Ozkan
2019	J	`jnl`	Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Trans. Signal Process. Kaan Gökcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman Serdar Kozat
2019	J	`jnl`	Team-optimal online estimation of dynamic parameters over distributed tree networks. Signal Process. Osman Fatih Kiliç, Tolga Ergen, Muhammed O. Sayin, Suleyman Serdar Kozat
2018	J	`jnl`	An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. IEEE Trans. Neural Networks Learn. Syst. Kaan Gökcesu, Suleyman Serdar Kozat
2018	J	`jnl`	Boosted adaptive filters. Digit. Signal Process. Dariush Kari, Ali H. Mirza, Farhan Khan, Huseyin Ozkan, Suleyman Serdar Kozat
2018	J	`jnl`	Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs. J. Signal Process. Syst. Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat
2018	J	`jnl`	Efficient Online Learning Algorithms Based on LSTM Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Tolga Ergen, Suleyman Serdar Kozat
2018	J	`jnl`	Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. IEEE Trans. Signal Process. Kaan Gökcesu, Suleyman Serdar Kozat
2018	J	`jnl`	Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. IEEE Trans. Neural Networks Learn. Syst. Kaan Gökcesu, Suleyman Serdar Kozat
2018	J	`jnl`	Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences. IEEE Trans. Neural Networks Learn. Syst. Tolga Ergen, Suleyman Serdar Kozat
2018	—	`conf`	Recurrent neural networks based online learning algorithms for distributed systems. SIU Tolga Ergen, Safa Onur Sahin, Suleyman Serdar Kozat
2018	J	`jnl`	Sequential Outlier Detection based on Incremental Decision Trees. CoRR Mohammadreza Mohaghegh Neyshabouri, Suleyman Serdar Kozat
2017	J	`jnl`	Adaptive and efficient nonlinear channel equalization for underwater acoustic communication. Phys. Commun. Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat
2017	J	`jnl`	An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach. J. Electr. Comput. Eng. Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat
2017	—	`conf`	An efficient bandit algorithm for general weight assignments. SIU Kaan Gökcesu, Tolga Ergen, Selami Çiftçi, Suleyman Serdar Kozat
2017	J	`jnl`	Computationally highly efficient mixture of adaptive filters. Signal Image Video Process. Osman Fatih Kiliç, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat
2017	J	`jnl`	Efficient Implementation Of Newton-Raphson Methods For Sequential Data Prediction. CoRR Burak C. Civek, Suleyman Serdar Kozat
2017	J	`jnl`	Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction. IEEE Trans. Knowl. Data Eng. Burak C. Civek, Suleyman Serdar Kozat
2017	J	`jnl`	Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods. CoRR Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat
2017	J	`jnl`	Highly efficient hierarchical online nonlinear regression using second order methods. Signal Process. Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat
2017	J	`jnl`	Highly efficient nonlinear regression for big data with lexicographical splitting. Signal Image Video Process. Mohammadreza Mohaghegh Neyshabouri, Oguzhan Demir, Ibrahim Delibalta, Suleyman Serdar Kozat
2017	—	`conf`	Neural networks based online learning. SIU Tolga Ergen, Suleyman Serdar Kozat
2017	—	`conf`	Novelty detection using soft partitioning and hierarchical models. SIU Tolga Ergen, Kaan Gökcesu, Mustafa Simsek, Suleyman Serdar Kozat
2017	—	`conf`	Online distributed nonlinear regression via neural networks. SIU Tolga Ergen, Suleyman Serdar Kozat
2017	J	`jnl`	Resource-aware event triggered distributed estimation over adaptive networks. Digit. Signal Process. Ihsan Utlu, Osman Fatih Kiliç, Suleyman Serdar Kozat
2017	J	`jnl`	Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis. Digit. Signal Process. Dariush Kari, Iman Marivani, Farhan Khan, Muhammed Omer Sayin, Suleyman Serdar Kozat
2017	J	`jnl`	Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines. IEEE Trans. Neural Networks Learn. Syst. Nuri Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat
2017	—	`conf`	Sequential churn prediction and analysis of cellular network users - A multi-class, multi-label perspective. SIU Farhan Khan, Suleyman Serdar Kozat
2017	J	`jnl`	Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks. IEEE Trans. Netw. Sci. Eng. Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat, Tamer Basar
2017	J	`jnl`	Team-optimal distributed MMSE estimation in general and tree networks. Digit. Signal Process. Muhammed O. Sayin, Suleyman Serdar Kozat, Tamer Basar
2017	J	`jnl`	Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks. CoRR Tolga Ergen, Ali Hassan Mirza, Suleyman Serdar Kozat
2016	J	`jnl`	A Nearly Optimal Contextual Bandit Algorithm. CoRR Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Selami Ciftci, Suleyman Serdar Kozat
2016	—	`conf`	A tree-based solution to nonlinear regression problem. SIU Oguzhan Demir, Mohammadreza Mohaghegh Neyshabouri, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	J	`jnl`	Adaptive and Efficient Nonlinear Channel Equalization for Underwater Acoustic Communication. CoRR Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat
2016	—	`conf`	Adaptive hierarchical space partitioning for online classification. EUSIPCO Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	—	`conf`	Big data signal processing using boosted RLS algorithm. SIU Burak C. Civek, Dariush Kari, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	J	`jnl`	Boosted Adaptive Filters. CoRR Dariush Kari, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	—	`conf`	Boosted LMS-based piecewise linear adaptive filters. EUSIPCO Dariush Kari, Iman Marivani, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	—	`conf`	Communication efficient distributed estimation. SIU Ihsan Utlu, Suleyman Serdar Kozat
2016	—	`conf`	Distributed adaptive filtering with reduced communication load. EUSIPCO Ihsan Utlu, Suleyman Serdar Kozat
2016	J	`jnl`	Growth optimal investment in discrete-time markets with proportional transaction costs. Digit. Signal Process. N. Denizcan Vanli, Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat
2016	—	`conf`	Mathematical model of causal inference in Social Networks. SIU Mustafa Simsek, Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat
2016	—	`conf`	Mixture of set membership filters approach for big data signal processing. SIU Osman Fatih Kiliç, Muhammed Omer Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	J	`jnl`	Network structures and fast distributed MMSE estimation. CoRR Muhammed O. Sayin, Suleyman Serdar Kozat
2016	—	`conf`	Nonlinear regression using second order methods. SIU Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	J	`jnl`	Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error. IEEE Trans. Signal Process. Huseyin Ozkan, Fatih Ozkan, Suleyman Serdar Kozat
2016	J	`jnl`	Online Anomaly Detection With Nested Trees. IEEE Signal Process. Lett. Ibrahim Delibalta, Kaan Gökcesu, Mustafa Simsek, Lemi Baruh, Suleyman Serdar Kozat
2016	J	`jnl`	Online Classification via Self-Organizing Space Partitioning. IEEE Trans. Signal Process. Huseyin Ozkan, N. Denizcan Vanli, Suleyman Serdar Kozat
2016	—	`conf`	Online adaptive hierarchical space partitioning classifier. SIU Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	—	`conf`	Online churn detection on high dimensional cellular data using adaptive hierarchical trees. EUSIPCO Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	—	`conf`	Online text classification for real life tweet analysis. SIU Ersin Yar, Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat
2016	—	`conf`	Piecewise linear regression based on adaptive tree structure using second order methods. EUSIPCO Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat
2016	J	`jnl`	Sequential Prediction Over Hierarchical Structures. IEEE Trans. Signal Process. N. Denizcan Vanli, Kaan Gökcesu, Muhammed O. Sayin, Hikmet Yildiz, Suleyman Serdar Kozat
2016	J	`jnl`	Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees. IEEE Trans. Big Data Farhan Khan, Dariush Kari, Ilyas Alper Karatepe, Suleyman Serdar Kozat
2015	—	`ed.`	25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015 MLSP Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen
2015	J	`jnl`	A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm. IEEE Trans. Neural Networks Learn. Syst. Huseyin Ozkan, Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat
2015	—	`conf`	A Scalable Approach for Online Hierarchical Big Data Mining. BigData Congress N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat
2015	J	`jnl`	A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds. IEEE Trans. Neural Networks Learn. Syst. Nuri Denizcan Vanli, Suleyman Serdar Kozat
2015	J	`jnl`	A new robust adaptive algorithm for underwater acoustic channel equalization. CoRR Dariush Kari, Muhammed Omer Sayin, Suleyman Serdar Kozat
2015	J	`jnl`	Data Imputation Through the Identification of Local Anomalies. IEEE Trans. Neural Networks Learn. Syst. Huseyin Ozkan, Ozgun Soner Pelvan, Suleyman Serdar Kozat
2015	—	`conf`	Efficient and distributed tracking of evolving state. MLSP Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat
2015	—	`conf`	High dimensional sequential regression on manifolds using adaptive hierarchical trees. MLSP Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat
2015	—	`conf`	Online Nonlinear Classification for High-Dimensional Data. BigData Congress N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat
2015	—	`conf`	Online anomaly detection with constant false alarm rate. MLSP Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat
2015	—	`conf`	Optimal and Efficient Distributed Online Learning for Big Data. BigData Congress Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat
2015	J	`jnl`	Robust least squares methods under bounded data uncertainties. Digit. Signal Process. N. Denizcan Vanli, Mehmet A. Donmez, Suleyman Serdar Kozat
2015	J	`jnl`	The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. Signal Process. Muhammed O. Sayin, Yasin Yilmaz, Alper Demir, Suleyman Serdar Kozat
2015	Misc	`conf`	Twice-universal piecewise linear regression via infinite depth context trees. ICASSP N. Denizcan Vanli, Muhammed O. Sayin, Tolga Goze, Suleyman Serdar Kozat
2015	—	`conf`	Universal online prediction via order preserving patterns. MLSP N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat
2014	J	`jnl`	A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees. IEEE Trans. Signal Process. N. Denizcan Vanli, Suleyman Serdar Kozat
2014	J	`jnl`	A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost. IEEE Trans. Signal Process. Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat
2014	J	`jnl`	A novel and robust parameter training approach for HMMs under noisy and partial access to states. Signal Process. Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat
2014	—	`conf`	Communication efficient channel estimation over distributed networks. GlobalSIP Muhammed O. Sayin, N. Denizcan Vanli, Tolga Goze, Suleyman Serdar Kozat
2014	—	`conf`	Competitive linear MMSE estimation under structured data uncertainties. SIU N. Denizcan Vanli, Muhammed O. Sayin, Suleyman Serdar Kozat
2014	—	`conf`	Comprehensive lower bounds on sequential prediction. EUSIPCO N. Denizcan Vanli, Muhammed O. Sayin, Salih Ergüt, Suleyman Serdar Kozat
2014	J	`jnl`	Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load. CoRR Muhammed O. Sayin, Suleyman Serdar Kozat
2014	J	`jnl`	Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load. IEEE Trans. Signal Process. Muhammed O. Sayin, Suleyman Serdar Kozat
2014	J	`jnl`	Data Imputation through the Identification of Local Anomalies. CoRR Huseyin Ozkan, Ozgun S. Pelvan, Suleyman Serdar Kozat
2014	—	`conf`	Energy consumption forecasting via order preserving pattern matching. GlobalSIP N. Denizcan Vanli, Muhammed O. Sayin, Hikmet Yildiz, Tolga Goze, Suleyman Serdar Kozat
2014	Misc	`conf`	Improved convergence performance of adaptive algorithms through logarithmic cost. ICASSP Muhammed O. Sayin, Nuri Denizcan Vanli, Suleyman Serdar Kozat
2014	Misc	`conf`	Logarithmic regret bound over diffusion based distributed estimation. ICASSP Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat
2014	J	`jnl`	Low Complexity Turbo-Equalization: A Clustering Approach. IEEE Commun. Lett. Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer
2014	J	`jnl`	Online Piecewise Linear Regression via Infinite Depth Context Trees. CoRR N. Denizcan Vanli, Muhammed O. Sayin, Suleyman Serdar Kozat
2014	—	`conf`	Performance analysis of scalar diffusion strategy over distributed network. SIU Muhammed O. Sayin, Suleyman Serdar Kozat
2014	—	`conf`	Piecewise nonlinear regression via decision adaptive trees. EUSIPCO N. Denizcan Vanli, Muhammed O. Sayin, Salih Ergüt, Suleyman Serdar Kozat
2014	Misc	`conf`	Robust regularized least squares estimation in the presence of bounded data uncertainties. ICASSP Nuri Denizcan Vanli, Suleyman Serdar Kozat, Mehmet A. Donmez
2014	—	`conf`	Robust set-membership filtering algorithms against impulsive noise. SIU Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat
2014	—	`conf`	Sequential nonlinear regression via context trees. SIU N. Denizcan Vanli, Suleyman Serdar Kozat
2014	J	`jnl`	Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks. CoRR N. Denizcan Vanli, Muhammed O. Sayin, Suleyman Serdar Kozat
2013	J	`jnl`	A Comprehensive Approach to Universal Nonlinear Regression Based on Trees. CoRR N. Denizcan Vanli, Suleyman Serdar Kozat
2013	J	`jnl`	A Novel Family of Adaptive Filtering Algorithms Based on The Logarithmic Cost. CoRR Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat
2013	J	`jnl`	A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds. CoRR N. Denizcan Vanli, Suleyman Serdar Kozat
2013	J	`jnl`	Adaptive mixture methods based on Bregman divergences. Digit. Signal Process. Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2013	Misc	`conf`	Competitive and online piecewise linear classification. ICASSP Huseyin Ozkan, Mehmet A. Donmez, Ozgun S. Pelvan, Arda Akman, Suleyman Serdar Kozat
2013	Misc	`conf`	Growth optimal investment with threshold rebalancing portfolios under transaction costs. ICASSP Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat
2013	J	`jnl`	Linear MMSE-Optimal Turbo Equalization Using Context Trees. IEEE Trans. Signal Process. Kyeongyeon Kim, Nargiz Kalantarova, Suleyman Serdar Kozat, Andrew C. Singer
2013	J	`jnl`	Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach. IEEE Trans. Signal Process. Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat
2013	J	`jnl`	Robust LS Equalization Methods for MIMO Systems Under Bounded Model Uncertainties. CoRR N. Denizcan Vanli, Mehmet A. Donmez, Suleyman Serdar Kozat
2013	J	`jnl`	Robust estimation in flat fading channels under bounded channel uncertainties. Digit. Signal Process. Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2013	J	`jnl`	Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks. CoRR Muhammed O. Sayin, Suleyman Serdar Kozat
2013	J	`jnl`	Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks. IEEE Signal Process. Lett. Muhammed O. Sayin, Suleyman Serdar Kozat
2013	J	`jnl`	Tracking the best level set in a level-crossing analog-to-digital converter. Digit. Signal Process. Suleyman Serdar Kozat, Karen M. Guan, Andrew C. Singer
2012	J	`jnl`	A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms CoRR Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat
2012	J	`jnl`	A New Analysis of an Adaptive Convex Mixture: A Deterministic Approach CoRR Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat
2012	J	`jnl`	A Novel Robust Approach to Least Squares Problems with Bounded Data Uncertainties CoRR Nargiz Kalantarova, Mehmet A. Donmez, Suleyman Serdar Kozat
2012	J	`jnl`	A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States CoRR Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat
2012	—	`conf`	A novel and incremental classification algorithm. SIU Huseyin Ozkan, Ozgun S. Pelvan, Arda Akman, Suleyman Serdar Kozat
2012	—	`conf`	A novel training method for PHMMs. CIP Huseyin Ozkan, Arda Akman, Salih Ergüt, Suleyman Serdar Kozat
2012	J	`jnl`	Adaptive Mixture Methods Based on Bregman Divergences CoRR Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2012	Misc	`conf`	Adaptive mixture methods using Bregman divergences. ICASSP Huseyin A. Inan, Mehmet A. Donmez, Suleyman Serdar Kozat
2012	Misc	`conf`	Competitive least squares problem with bounded data uncertainties. ICASSP Nargiz Kalantarova, Mehmet A. Donmez, Suleyman Serdar Kozat
2012	J	`jnl`	Growth Optimal Portfolios in Discrete-time Markets Under Transaction Costs CoRR Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat
2012	—	`conf`	Growth optimal portfolios in discrete-time markets under transaction costs. SPAWC Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat
2012	—	`conf`	Hidden Markov Model training with side information. SIU Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat
2012	J	`jnl`	Linear MMSE-Optimal Turbo Equalization Using Context Trees CoRR Nargiz Kalantarova, Kyeongyeon Kim, Suleyman Serdar Kozat, Andrew C. Singer
2012	J	`jnl`	Low Complexity Turbo-Equalization: A Clustering Approach CoRR Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer
2012	A	`conf`	Optimal Distance Estimation Between Compressed Data Series. SDM Nikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat
2012	J	`jnl`	Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach CoRR Sait Tunç, Suleyman Serdar Kozat
2012	—	`conf`	Optimal portfolios under transaction costs in discrete time markets. MLSP Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat
2012	J	`jnl`	Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties CoRR Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2012	J	`jnl`	Robust Turbo Equalization Under Channel Uncertainties. IEEE Trans. Signal Process. Nargiz Kalantarova, Suleyman Serdar Kozat, Alper T. Erdogan
2012	J	`jnl`	Steady State and Transient MSE Analysis of Convexly Constrained Mixture Methods. IEEE Trans. Signal Process. Mehmet A. Donmez, Suleyman Serdar Kozat
2012	—	`conf`	Steady state MSE analysis of convexly constrained mixture methods. CIP Mehmet A. Donmez, Suleyman Serdar Kozat
2012	—	`conf`	Transient analysis of convexly constrained mixture methods. MLSP Mehmet A. Donmez, Huseyin Ozkan, Suleyman Serdar Kozat
2011	J	`jnl`	A tree-weighting approach to sequential decision problems with multiplicative loss. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer, Andrew J. Bean
2011	Misc	`conf`	Nonlinear turbo equalization using context trees. ITA Nargiz Kalantarova, Kyeongyeon Kim, Suleyman Serdar Kozat, Andrew C. Singer
2011	J	`jnl`	Transient Analysis of Adaptive Affine Combinations. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Alper T. Erdogan, Andrew C. Singer, Ali H. Sayed
2010	—	`conf`	A competitive algorithm approach to adaptive filtering. ISWCS Andrew C. Singer, Suleyman Serdar Kozat
2010	—	`conf`	Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations. WMT@ACL Ergun Biçici, Suleyman Serdar Kozat
2010	J	`jnl`	Competitive Randomized Nonlinear Prediction Under Additive Noise. IEEE Signal Process. Lett. Yasin Yilmaz, Suleyman Serdar Kozat
2010	J	`jnl`	Competitive linear estimation under model uncertainties. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Alper T. Erdogan
2010	J	`jnl`	Optimal distance bounds for fast search on compressed time-series query logs. ACM Trans. Web Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu
2010	J	`jnl`	Steady-state MSE performance analysis of mixture approaches to adaptive filtering. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Alper T. Erdogan, Andrew C. Singer, Ali H. Sayed
2010	J	`jnl`	Unbiased model combinations for adaptive filtering. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer, Alper T. Erdogan, Ali H. Sayed
2010	J	`jnl`	Universal randomized switching. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer
2009	Misc	`conf`	A performance-weighted mixture of LMS filters. ICASSP Suleyman Serdar Kozat, Andrew C. Singer
2009	C	`conf`	An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. ICMLA Yasin Yilmaz, Suleyman Serdar Kozat
2009	J	`jnl`	An Information Theoretic Analysis of Single Transceiver Passive RFID Networks CoRR Yucel Altug, Suleyman Serdar Kozat, Mehmet Kivanç Mihçak
2009	Misc	`conf`	Comparison of convex combination and affine combination of adaptive filters. ICASSP Alper T. Erdogan, Suleyman Serdar Kozat, Andrew C. Singer
2009	J	`jnl`	Competitive prediction under additive noise. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer
2009	J	`jnl`	Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Syst. Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu
2009	A	`conf`	Optimal Distance Bounds on Time-Series Data. SDM Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu
2009	J	`jnl`	Signal processing for underwater acoustic communications. IEEE Commun. Mag. Andrew C. Singer, Jill K. Nelson, Suleyman Serdar Kozat
2009	J	`jnl`	Switching strategies for sequential decision problems with multiplicative loss with application to portfolios. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer
2008	J	`jnl`	Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter. EURASIP J. Adv. Signal Process. Karen M. Guan, Suleyman Serdar Kozat, Andrew C. Singer
2008	Misc	`conf`	Optimizing speech recognition grammars using a measure of similarity between hidden Markov models. ICASSP Binit Mohanty, John R. Hershey, Peder A. Olsen, Suleyman Serdar Kozat, Vaibhava Goel
2008	J	`jnl`	Universal Switching Linear Least Squares Prediction. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer
2008	Misc	`conf`	Universal portfolios via context trees. ICASSP Suleyman Serdar Kozat, Andrew C. Singer, Andrew J. Bean
2008	Misc	`conf`	Universal switching portfolios under transaction costs. ICASSP Suleyman Serdar Kozat, Andrew C. Singer
2007	—	`conf`	Efficient, Low Latency Adaptation for Speech Recognition. ICASSP (4) Suleyman Serdar Kozat, Karthik Visweswariah, Ramesh Gopinath
2007	—	`conf`	Universal Constant Rebalanced Portfolios with Switching. ICASSP (3) Suleyman Serdar Kozat, Andrew C. Singer
2007	J	`jnl`	Universal Piecewise Linear Prediction Via Context Trees. IEEE Trans. Signal Process. Suleyman Serdar Kozat, Andrew C. Singer, Georg Zeitler
2007	—	`conf`	Universal Piecewise Linear Regression of Individual Sequences: Lower Bound. ICASSP (3) Georg Zeitler, Andrew C. Singer, Suleyman Serdar Kozat
2006	—	`conf`	Feature Adaptation Based on Gaussian Posteriors. ICASSP (1) Suleyman Serdar Kozat, Karthik Visweswariah, Ramesh Gopinath
2006	B	`conf`	Universal Context Tree Least Squares Prediction. ISIT Andrew C. Singer, Suleyman Serdar Kozat
2004	—	`—`	Competitive Signal Processing Suleyman Serdar Kozat
2004	—	`conf`	Min-max optimal universal prediction with side information. ICASSP (5) Suleyman Serdar Kozat, Andrew C. Singer
2004	B	`conf`	Robust perceptual image hashing via matrix invariants. ICIP Suleyman Serdar Kozat, Ramarathnam Venkatesan, Mehmet Kivanç Mihçak
2004	B	`conf`	Universal piecewise linear least squares prediction. ISIT David Luengo, Suleyman Serdar Kozat, Andrew C. Singer
2002	Misc	`conf`	Further results in multistage adaptive filtering. ICASSP Suleyman Serdar Kozat, Andrew C. Singer
2002	J	`jnl`	Universal linear least squares prediction: Upper and lower bounds. IEEE Trans. Inf. Theory Andrew C. Singer, Suleyman Serdar Kozat, Meir Feder
2000	Misc	`conf`	On universal linear prediction of Gaussian data. ICASSP Suleyman Serdar Kozat, Andrew C. Singer