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ORCIDSuleyman Serdar Kozat
Suleyman S. Kozat
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- affiliation: Bilkent University, Bilkent Üniversitesi, Department of Electrical and Electronics Engineering, Ankara, Turkey
- affiliation: Koç University, Istanbul, Turkey
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2020 – today
- 2025
[j93]Mehmet E. Lorasdagi
, Ahmet B. Koc, Ali Taha Koç, Suleyman S. Kozat:
Fitting Multiple Machine Learning Models With Performance Based Clustering. IEEE Signal Process. Lett. 32: 816-820 (2025)- 2024
- [j92]Mehmet Yigit Turali, Ali Taha Koç, Suleyman S. Kozat:
Optimal stochastic gradient descent algorithm for filtering. Digit. Signal Process. 155: 104731 (2024) - [j91]Emirhan Ilhan, Ahmet B. Koc, Suleyman S. Kozat:
Exploiting residual errors in nonlinear online prediction. Mach. Learn. 113(9): 6065-6091 (2024) - [j90]Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman Serdar Kozat:
Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients. Neural Process. Lett. 56(2): 80 (2024) - [j89]Selim Firat Yilmaz, Furkan B. Mutlu, Ismail Balaban, Suleyman S. Kozat:
TMD-NER: Turkish multi-domain named entity recognition for informal texts. Signal Image Video Process. 18(3): 2255-2263 (2024) - [j88]Mehmet Yigit Turali, Mehmet E. Lorasdagi, Suleyman S. Kozat:
AFS-BM: enhancing model performance through adaptive feature selection with binary masking. Signal Image Video Process. 18(11): 7571-7582 (2024) - [j87]Hakan Gökcesu, Suleyman Serdar Kozat:
Universal Online Convex Optimization With Minimax Optimal Second-Order Dynamic Regret. IEEE Trans. Autom. Control. 69(6): 3865-3880 (2024) - [j86]Arda Fazla, Mustafa E. Aydin, Suleyman S. Kozat:
Time-Aware and Context-Sensitive Ensemble Learning for Sequential Data. IEEE Trans. Artif. Intell. 5(5): 2264-2278 (2024) - [j85]Safa Onur Sahin, Suleyman S. Kozat:
Nonlinear Regression With Hierarchical Recurrent Neural Networks Under Missing Data. IEEE Trans. Artif. Intell. 5(10): 5012-5025 (2024) - [j84]Selim Furkan Tekin, Arda Fazla, Suleyman Serdar Kozat:
Numerical Weather Forecasting Using Convolutional-LSTM With Attention and Context Matcher Mechanisms. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j83]Baturay Saglam, Dogan Can Çiçek, Furkan Burak Mutlu, Suleyman S. Kozat:
Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach. Trans. Mach. Learn. Res. 2024 (2024) - [c86]Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat:
Actor Prioritized Experience Replay (Abstract Reprint). AAAI 2024: 22710 - [i62]Mehmet Yigit Turali, Mehmet E. Lorasdagi, Ali Taha Koç, Suleyman S. Kozat:
AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking. CoRR abs/2401.11250 (2024) - [i61]Mehmet E. Lorasdagi, Mehmet Yigit Turali, Ali Taha Koç, Suleyman S. Kozat:
Binary Feature Mask Optimization for Feature Selection. CoRR abs/2401.12644 (2024) - [i60]Arda Sarp Yenicesu, Furkan B. Mutlu, Suleyman S. Kozat, Ozgur S. Oguz:
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms. CoRR abs/2406.09030 (2024) - [i59]Mehmet E. Lorasdagi, Ahmet B. Koc, Ali Taha Koç, Suleyman Serdar Kozat:
Fitting Multiple Machine Learning Models with Performance Based Clustering. CoRR abs/2411.06572 (2024) - 2023
- [j82]Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat:
Actor Prioritized Experience Replay. J. Artif. Intell. Res. 78: 639-672 (2023) - [j81]Baturay Saglam, Suleyman S. Kozat:
Deep intrinsically motivated exploration in continuous control. Mach. Learn. 112(12): 4959-4993 (2023) - [j80]Fatih Aslan, Suleyman Serdar Kozat:
Handling irregularly sampled signals with gated temporal convolutional networks. Signal Image Video Process. 17(3): 817-823 (2023) - [j79]Selim Furkan Tekin, Suleyman Serdar Kozat:
Crime prediction with graph neural networks and multivariate normal distributions. Signal Image Video Process. 17(4): 1053-1059 (2023) - [j78]Emirhan Ilhan, Mehmet Yigit Turali, Suleyman S. Kozat:
Gradient Boosting With Moving-Average Terms for Nonlinear Sequential Regression. IEEE Signal Process. Lett. 30: 1182-1186 (2023) - [j77]Selim Firat Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance. IEEE Trans. Neural Networks Learn. Syst. 34(1): 331-343 (2023) - [j76]Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat:
Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments. IEEE Trans. Neural Networks Learn. Syst. 34(2): 715-728 (2023) - [j75]Oguzhan Karaahmetoglu, Suleyman Serdar Kozat:
Spatiotemporal Sequence Prediction With Point Processes and Self-Organizing Decision Trees. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3097-3110 (2023) - [c85]Baturay Saglam, Doga Gürgünoglu, Suleyman S. Kozat:
Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-Aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI. ICC Workshops 2023: 66-72 - [c84]Kaan Gönç, Baturay Saglam, Onat Dalmaz, Tolga Çukur, Suleyman Serdar Kozat, Hamdi Dibeklioglu:
User Feedback-based Online Learning for Intent Classification. ICMI 2023: 613-621 - [i58]Mustafa E. Aydin, Arda Fazla, Suleyman S. Kozat:
Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization. CoRR abs/2309.10553 (2023) - [i57]Aysin Tumay, Mustafa E. Aydin, Suleyman S. Kozat:
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting. CoRR abs/2310.17544 (2023) - 2022
- [j74]Mustafa E. Aydin, Suleyman Serdar Kozat:
A hybrid framework for sequential data prediction with end-to-end optimization. Digit. Signal Process. 129: 103687 (2022) - [j73]Arda Fazla, Mustafa E. Aydin, Suleyman Serdar Kozat:
Joint optimization of linear and nonlinear models for sequential regression. Digit. Signal Process. 132: 103802 (2022) - [j72]Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Salih Ergüt, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs With Simple RNNs. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7632-7643 (2022) - [c83]Kaan Gonc, Baturay Saglam, Suleyman S. Kozat, Hamdi Dibeklioglu:
Face Inpainting with Pre-trained Image Transformers. SIU 2022: 1-4 - [c82]Baturay Saglam, Onat Dalmaz, Kaan Gonc, Suleyman S. Kozat:
Improving the Performance of Batch-Constrained Reinforcement Learning in Continuous Action Domains via Generative Adversarial Networks. SIU 2022: 1-4 - [c81]Baturay Saglam, Furkan B. Mutlu, Onat Dalmaz, Suleyman S. Kozat:
Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces. SIU 2022: 1-4 - [c80]Baturay Saglam, Furkan B. Mutlu, Kaan Gonc, Onat Dalmaz, Suleyman S. Kozat:
An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control. SIU 2022: 1-4 - [c79]Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
An Optimistic Approach to the Temporal Difference Error in Off-Policy Actor-Critic Algorithms. SSCI 2022: 875-883 - [i56]Mustafa E. Aydin, Suleyman Serdar Kozat:
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization. CoRR abs/2203.13787 (2022) - [i55]Baturay Saglam, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms. CoRR abs/2207.13453 (2022) - [i54]Baturay Saglam, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning. CoRR abs/2208.00755 (2022) - [i53]Hakan Gökcesu, Suleyman Serdar Kozat:
Optimal Tracking in Prediction with Expert Advice. CoRR abs/2208.03708 (2022) - [i52]Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat:
Actor Prioritized Experience Replay. CoRR abs/2209.00532 (2022) - [i51]Baturay Saglam, Suleyman S. Kozat:
Deep Intrinsically Motivated Exploration in Continuous Control. CoRR abs/2210.00293 (2022) - [i50]Baturay Saglam, Doga Gürgünoglu, Suleyman S. Kozat:
Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI. CoRR abs/2211.09702 (2022) - [i49]Arda Fazla, Mustafa Enes Aydin, Orhun Tamyigit, Suleyman Serdar Kozat:
Context-Aware Ensemble Learning for Time Series. CoRR abs/2211.16884 (2022) - 2021
- [j71]Mine Kerpicci, Huseyin Ozkan, Suleyman Serdar Kozat:
Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4253-4266 (2021) - [j70]Nuri Mert Vural, Salih Ergüt, Suleyman Serdar Kozat:
An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning. IEEE Trans. Signal Process. 69: 2541-2554 (2021) - [c78]Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods. ICTAI 2021: 137-144 - [c77]Dogan Can Çiçek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat:
AWD3: Dynamic Reduction of the Estimation Bias. ICTAI 2021: 775-779 - [c76]Dogan Can Çiçek, Enes Duran, Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay. ICTAI 2021: 1255-1262 - [i48]Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. CoRR abs/2102.00696 (2021) - [i47]Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods. CoRR abs/2109.10736 (2021) - [i46]Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control. CoRR abs/2109.11788 (2021) - [i45]Dogan Can Çiçek, Enes Duran, Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay. CoRR abs/2111.01865 (2021) - [i44]Dogan Can Çiçek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat:
AWD3: Dynamic Reduction of the Estimation Bias. CoRR abs/2111.06780 (2021) - [i43]Selim Furkan Tekin, Suleyman Serdar Kozat:
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions. CoRR abs/2111.14733 (2021) - 2020
- [j69]Tolga Ergen, Suleyman Serdar Kozat:
A novel distributed anomaly detection algorithm based on support vector machines. Digit. Signal Process. 99: 102657 (2020) - [j68]Ali H. Mirza, Mine Kerpicci, Suleyman Serdar Kozat:
Efficient online learning with improved LSTM neural networks. Digit. Signal Process. 102: 102742 (2020) - [j67]Tolga Ergen, Ali H. Mirza, Suleyman Serdar Kozat:
Energy-Efficient LSTM Networks for Online Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3114-3126 (2020) - [j66]Tolga Ergen, Suleyman Serdar Kozat:
Unsupervised Anomaly Detection With LSTM Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3127-3141 (2020) - [j65]Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels. IEEE Trans. Signal Process. 68: 4946-4958 (2020) - [c75]Fatih Ilhan, Nuri Mert Vural, Suleyman Serdar Kozat:
LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm. SIU 2020: 1-4 - [c74]Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat:
Online Shortest Path Learning via Convex Optimization. SIU 2020: 1-5 - [c73]Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat:
Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization. SIU 2020: 1-5 - [c72]Selim Firat Yilmaz, Ismail Balaban, Suleyman Serdar Kozat:
Improved Named Entity Recognition in Turkish News via Word Lookup Methods. SIU 2020: 1-4 - [i42]Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels. CoRR abs/2003.03671 (2020) - [i41]Selim Firat Yilmaz, Suleyman Serdar Kozat:
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization. CoRR abs/2005.05865 (2020) - [i40]Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs with Simple RNNs. CoRR abs/2005.08948 (2020) - [i39]Safa Onur Sahin, Suleyman Serdar Kozat:
A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. CoRR abs/2005.11353 (2020) - [i38]Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. CoRR abs/2005.12005 (2020) - [i37]Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat:
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments. CoRR abs/2006.10119 (2020) - [i36]Oguzhan Karaahmetoglu, Suleyman Serdar Kozat:
Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees. CoRR abs/2006.14426 (2020) - [i35]Selim Firat Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance. CoRR abs/2008.11573 (2020) - [i34]Selim Firat Yilmaz, Suleyman Serdar Kozat:
PySAD: A Streaming Anomaly Detection Framework in Python. CoRR abs/2009.02572 (2020)
2010 – 2019
- 2019
- [j64]N. Denizcan Vanli, Muhammed O. Sayin, Mohammadreza Mohaghegh Neyshabouri, Huseyin Ozkan, Suleyman Serdar Kozat:
Nonlinear regression via incremental decision trees. Pattern Recognit. 86: 1-13 (2019) - [j63]Osman Fatih Kiliç, Tolga Ergen, Muhammed O. Sayin, Suleyman Serdar Kozat:
Team-optimal online estimation of dynamic parameters over distributed tree networks. Signal Process. 154: 148-158 (2019) - [j62]Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Hakan Gökcesu, Huseyin Ozkan, Suleyman Serdar Kozat:
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Trans. Neural Networks Learn. Syst. 30(3): 923-937 (2019) - [j61]Safa Onur Sahin, Suleyman Serdar Kozat:
Nonuniformly Sampled Data Processing Using LSTM Networks. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1452-1461 (2019) - [j60]Kaan Gökcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman Serdar Kozat:
Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Trans. Signal Process. 67(4): 993-1005 (2019) - [j59]Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. IEEE Trans. Signal Process. 67(16): 4383-4398 (2019) - [c71]Mine Kerpicci, Suleyman Serdar Kozat, Huseyin Ozkan:
Sequential Anomaly Detection Using Nonparametric Density Estimators. SIU 2019: 1-4 - [i33]Hakan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. CoRR abs/1904.09369 (2019) - [i32]Hakan Gökcesu, Suleyman Serdar Kozat:
Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. CoRR abs/1907.00497 (2019) - [i31]Nuri Mert Vural, Suleyman Serdar Kozat:
An Efficient EKF Based Algorithm For LSTM-Based Online Learning. CoRR abs/1910.09857 (2019) - [i30]Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays. CoRR abs/1911.11122 (2019) - 2018
- [j58]Dariush Kari, Ali H. Mirza, Farhan Khan, Huseyin Ozkan, Suleyman Serdar Kozat:
Boosted adaptive filters. Digit. Signal Process. 81: 61-78 (2018) - [j57]Tolga Ergen, Suleyman Serdar Kozat:
Efficient Online Learning Algorithms Based on LSTM Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3772-3783 (2018) - [j56]Kaan Gökcesu, Suleyman Serdar Kozat:
Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4473-4478 (2018) - [j55]Tolga Ergen, Suleyman Serdar Kozat:
Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5159-5165 (2018) - [j54]Kaan Gökcesu, Suleyman Serdar Kozat:
An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5565-5580 (2018) - [j53]Kaan Gökcesu, Suleyman Serdar Kozat:
Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. IEEE Trans. Signal Process. 66(5): 1213-1227 (2018) - [j52]Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs. J. Signal Process. Syst. 90(2): 175-184 (2018) - [c70]Tolga Ergen, Safa Onur Sahin, Suleyman Serdar Kozat:
Recurrent neural networks based online learning algorithms for distributed systems. SIU 2018: 1-4 - [i29]Mohammadreza Mohaghegh Neyshabouri, Suleyman Serdar Kozat:
Sequential Outlier Detection based on Incremental Decision Trees. CoRR abs/1803.03674 (2018) - 2017
- [j51]Muhammed O. Sayin, Suleyman Serdar Kozat, Tamer Basar:
Team-optimal distributed MMSE estimation in general and tree networks. Digit. Signal Process. 64: 83-95 (2017) - [j50]Dariush Kari, Iman Marivani, Farhan Khan, Muhammed Omer Sayin, Suleyman Serdar Kozat:
Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis. Digit. Signal Process. 68: 57-68 (2017) - [j49]Ihsan Utlu, Osman Fatih Kiliç, Suleyman Serdar Kozat:
Resource-aware event triggered distributed estimation over adaptive networks. Digit. Signal Process. 68: 127-137 (2017) - [j48]Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat:
An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach. J. Electr. Comput. Eng. 2017: 1048385:1-1048385:11 (2017) - [j47]Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat:
Adaptive and efficient nonlinear channel equalization for underwater acoustic communication. Phys. Commun. 24: 83-93 (2017) - [j46]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly efficient hierarchical online nonlinear regression using second order methods. Signal Process. 137: 22-32 (2017) - [j45]Osman Fatih Kiliç, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Computationally highly efficient mixture of adaptive filters. Signal Image Video Process. 11(2): 235-242 (2017) - [j44]Mohammadreza Mohaghegh Neyshabouri, Oguzhan Demir, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly efficient nonlinear regression for big data with lexicographical splitting. Signal Image Video Process. 11(3): 391-398 (2017) - [j43]Burak C. Civek, Suleyman Serdar Kozat:
Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction. IEEE Trans. Knowl. Data Eng. 29(12): 2786-2791 (2017) - [j42]Nuri Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines. IEEE Trans. Neural Networks Learn. Syst. 28(3): 546-558 (2017) - [j41]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat, Tamer Basar:
Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks. IEEE Trans. Netw. Sci. Eng. 4(4): 248-260 (2017) - [c69]Tolga Ergen, Kaan Gökcesu, Mustafa Simsek, Suleyman Serdar Kozat:
Novelty detection using soft partitioning and hierarchical models. SIU 2017: 1-4 - [c68]Tolga Ergen, Suleyman Serdar Kozat:
Neural networks based online learning. SIU 2017: 1-4 - [c67]Tolga Ergen, Suleyman Serdar Kozat:
Online distributed nonlinear regression via neural networks. SIU 2017: 1-4 - [c66]Kaan Gökcesu, Tolga Ergen, Selami Çiftçi, Suleyman Serdar Kozat:
An efficient bandit algorithm for general weight assignments. SIU 2017: 1-4 - [c65]Farhan Khan, Suleyman Serdar Kozat:
Sequential churn prediction and analysis of cellular network users - A multi-class, multi-label perspective. SIU 2017: 1-4 - [i28]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods. CoRR abs/1701.05053 (2017) - [i27]Burak C. Civek, Suleyman Serdar Kozat:
Efficient Implementation Of Newton-Raphson Methods For Sequential Data Prediction. CoRR abs/1701.05378 (2017) - [i26]Tolga Ergen, Ali Hassan Mirza, Suleyman Serdar Kozat:
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks. CoRR abs/1710.09207 (2017) - 2016
- [j40]N. Denizcan Vanli, Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat:
Growth optimal investment in discrete-time markets with proportional transaction costs. Digit. Signal Process. 48: 226-238 (2016) - [j39]Ibrahim Delibalta, Kaan Gökcesu, Mustafa Simsek, Lemi Baruh, Suleyman Serdar Kozat:
Online Anomaly Detection With Nested Trees. IEEE Signal Process. Lett. 23(12): 1867-1871 (2016) - [j38]Farhan Khan, Dariush Kari, Ilyas Alper Karatepe, Suleyman Serdar Kozat:
Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees. IEEE Trans. Big Data 2(2): 175-188 (2016) - [j37]Huseyin Ozkan, Fatih Ozkan, Suleyman Serdar Kozat:
Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error. IEEE Trans. Signal Process. 64(6): 1435-1445 (2016) - [j36]Huseyin Ozkan, N. Denizcan Vanli, Suleyman Serdar Kozat:
Online Classification via Self-Organizing Space Partitioning. IEEE Trans. Signal Process. 64(15): 3895-3908 (2016) - [j35]N. Denizcan Vanli, Kaan Gökcesu, Muhammed O. Sayin, Hikmet Yildiz, Suleyman Serdar Kozat:
Sequential Prediction Over Hierarchical Structures. IEEE Trans. Signal Process. 64(23): 6284-6298 (2016) - [c64]Ihsan Utlu, Suleyman Serdar Kozat:
Distributed adaptive filtering with reduced communication load. EUSIPCO 2016: 1488-1492 - [c63]Dariush Kari, Iman Marivani, Ibrahim Delibalta, Suleyman Serdar Kozat:
Boosted LMS-based piecewise linear adaptive filters. EUSIPCO 2016: 1593-1597 - [c62]Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online churn detection on high dimensional cellular data using adaptive hierarchical trees. EUSIPCO 2016: 2275-2279 - [c61]Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Adaptive hierarchical space partitioning for online classification. EUSIPCO 2016: 2290-2294 - [c60]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Piecewise linear regression based on adaptive tree structure using second order methods. EUSIPCO 2016: 2445-2449 - [c59]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Nonlinear regression using second order methods. SIU 2016: 1085-1088 - [c58]Burak C. Civek, Dariush Kari, Ibrahim Delibalta, Suleyman Serdar Kozat:
Big data signal processing using boosted RLS algorithm. SIU 2016: 1089-1092 - [c57]Mustafa Simsek, Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat:
Mathematical model of causal inference in Social Networks. SIU 2016: 1165-1168 - [c56]Osman Fatih Kiliç, Muhammed Omer Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Mixture of set membership filters approach for big data signal processing. SIU 2016: 1217-1220 - [c55]Oguzhan Demir, Mohammadreza Mohaghegh Neyshabouri, Ibrahim Delibalta, Suleyman Serdar Kozat:
A tree-based solution to nonlinear regression problem. SIU 2016: 1233-1236 - [c54]Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online adaptive hierarchical space partitioning classifier. SIU 2016: 1237-1240 - [c53]Ersin Yar, Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat:
Online text classification for real life tweet analysis. SIU 2016: 1609-1612 - [c52]Ihsan Utlu, Suleyman Serdar Kozat:
Communication efficient distributed estimation. SIU 2016: 1677-1680 - [i25]Dariush Kari, Ibrahim Delibalta, Suleyman Serdar Kozat:
Boosted Adaptive Filters. CoRR abs/1601.00549 (2016) - [i24]Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat:
Adaptive and Efficient Nonlinear Channel Equalization for Underwater Acoustic Communication. CoRR abs/1601.01218 (2016) - [i23]Muhammed O. Sayin, Suleyman Serdar Kozat:
Network structures and fast distributed MMSE estimation. CoRR abs/1610.00681 (2016) - [i22]Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Selami Ciftci, Suleyman Serdar Kozat:
A Nearly Optimal Contextual Bandit Algorithm. CoRR abs/1612.01367 (2016) - 2015
- [j34]N. Denizcan Vanli, Mehmet A. Donmez, Suleyman Serdar Kozat:
Robust least squares methods under bounded data uncertainties. Digit. Signal Process. 36: 82-92 (2015) - [j33]Muhammed O. Sayin, Yasin Yilmaz, Alper Demir, Suleyman Serdar Kozat:
The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. Signal Process. 109: 1-13 (2015) - [j32]Nuri Denizcan Vanli, Suleyman Serdar Kozat:
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds. IEEE Trans. Neural Networks Learn. Syst. 26(3): 646-651 (2015) - [j31]Huseyin Ozkan, Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat:
A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1575-1580 (2015) - [j30]Huseyin Ozkan, Ozgun Soner Pelvan, Suleyman Serdar Kozat:
Data Imputation Through the Identification of Local Anomalies. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2381-2395 (2015) - [c51]N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
A Scalable Approach for Online Hierarchical Big Data Mining. BigData Congress 2015: 1-8 - [c50]Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat:
Optimal and Efficient Distributed Online Learning for Big Data. BigData Congress 2015: 126-133 - [c49]N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online Nonlinear Classification for High-Dimensional Data. BigData Congress 2015: 685-688 - [c48]N. Denizcan Vanli, Muhammed O. Sayin, Tolga Goze, Suleyman Serdar Kozat:
Twice-universal piecewise linear regression via infinite depth context trees. ICASSP 2015: 2051-2055 - [c47]Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat:
High dimensional sequential regression on manifolds using adaptive hierarchical trees. MLSP 2015: 1-6 - [c46]Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online anomaly detection with constant false alarm rate. MLSP 2015: 1-6 - [c45]Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat:
Efficient and distributed tracking of evolving state. MLSP 2015: 1-6 - [c44]N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Universal online prediction via order preserving patterns. MLSP 2015: 1-6 - [e1]Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen:
25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015. IEEE 2015, ISBN 978-1-4673-7454-5 [contents] - [i21]Dariush Kari, Muhammed Omer Sayin, Suleyman Serdar Kozat:
A new robust adaptive algorithm for underwater acoustic channel equalization. CoRR abs/1512.06222 (2015) - 2014
- [j29]Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer:
Low Complexity Turbo-Equalization: A Clustering Approach. IEEE Commun. Lett. 18(6): 1063-1066 (2014) - [j28]Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat:
A novel and robust parameter training approach for HMMs under noisy and partial access to states. Signal Process. 94: 490-497 (2014) - [j27]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost. IEEE Trans. Signal Process. 62(17): 4411-4424 (2014) - [j26]Muhammed O. Sayin, Suleyman Serdar Kozat:
Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load. IEEE Trans. Signal Process. 62(20): 5308-5323 (2014) - [j25]N. Denizcan Vanli, Suleyman Serdar Kozat:
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees. IEEE Trans. Signal Process. 62(20): 5471-5486 (2014) - [c43]N. Denizcan Vanli, Muhammed O. Sayin, Salih Ergüt, Suleyman Serdar Kozat:
Piecewise nonlinear regression via decision adaptive trees. EUSIPCO 2014: 1188-1192 - [c42]N. Denizcan Vanli, Muhammed O. Sayin, Salih Ergüt, Suleyman Serdar Kozat:
Comprehensive lower bounds on sequential prediction. EUSIPCO 2014: 1193-1196 - [c41]Muhammed O. Sayin, N. Denizcan Vanli, Tolga Goze, Suleyman Serdar Kozat:
Communication efficient channel estimation over distributed networks. GlobalSIP 2014: 138-142 - [c40]N. Denizcan Vanli, Muhammed O. Sayin, Hikmet Yildiz, Tolga Goze, Suleyman Serdar Kozat:
Energy consumption forecasting via order preserving pattern matching. GlobalSIP 2014: 238-242 - [c39]Muhammed O. Sayin, Nuri Denizcan Vanli, Suleyman Serdar Kozat:
Improved convergence performance of adaptive algorithms through logarithmic cost. ICASSP 2014: 4513-4517 - [c38]Nuri Denizcan Vanli, Suleyman Serdar Kozat, Mehmet A. Donmez:
Robust regularized least squares estimation in the presence of bounded data uncertainties. ICASSP 2014: 5637-5640 - [c37]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
Logarithmic regret bound over diffusion based distributed estimation. ICASSP 2014: 8287-8291 - [c36]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
Robust set-membership filtering algorithms against impulsive noise. SIU 2014: 1551-1554 - [c35]Muhammed O. Sayin, Suleyman Serdar Kozat:
Performance analysis of scalar diffusion strategy over distributed network. SIU 2014: 1567-1570 - [c34]N. Denizcan Vanli, Muhammed O. Sayin, Suleyman Serdar Kozat:
Competitive linear MMSE estimation under structured data uncertainties. SIU 2014: 1861-1864 - [c33]N. Denizcan Vanli, Suleyman Serdar Kozat:
Sequential nonlinear regression via context trees. SIU 2014: 1865-1868 - [i20]N. Denizcan Vanli, Muhammed O. Sayin, Suleyman Serdar Kozat:
Online Piecewise Linear Regression via Infinite Depth Context Trees. CoRR abs/1401.6413 (2014) - [i19]Muhammed O. Sayin, Suleyman Serdar Kozat:
Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load. CoRR abs/1402.1072 (2014) - [i18]N. Denizcan Vanli, Muhammed O. Sayin, Suleyman Serdar Kozat:
Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks. CoRR abs/1409.8277 (2014) - [i17]Huseyin Ozkan, Ozgun S. Pelvan, Suleyman Serdar Kozat:
Data Imputation through the Identification of Local Anomalies. CoRR abs/1409.8576 (2014) - 2013
- [j24]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Adaptive mixture methods based on Bregman divergences. Digit. Signal Process. 23(1): 86-97 (2013) - [j23]Suleyman Serdar Kozat, Karen M. Guan, Andrew C. Singer:
Tracking the best level set in a level-crossing analog-to-digital converter. Digit. Signal Process. 23(1): 478-487 (2013) - [j22]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Robust estimation in flat fading channels under bounded channel uncertainties. Digit. Signal Process. 23(5): 1592-1601 (2013) - [j21]Muhammed O. Sayin, Suleyman Serdar Kozat:
Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks. IEEE Signal Process. Lett. 20(10): 976-979 (2013) - [j20]Kyeongyeon Kim, Nargiz Kalantarova, Suleyman Serdar Kozat, Andrew C. Singer:
Linear MMSE-Optimal Turbo Equalization Using Context Trees. IEEE Trans. Signal Process. 61(12): 3041-3055 (2013) - [j19]Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat:
Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach. IEEE Trans. Signal Process. 61(12): 3129-3142 (2013) - [c32]Huseyin Ozkan, Mehmet A. Donmez, Ozgun S. Pelvan, Arda Akman, Suleyman Serdar Kozat:
Competitive and online piecewise linear classification. ICASSP 2013: 3452-3456 - [c31]Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat:
Growth optimal investment with threshold rebalancing portfolios under transaction costs. ICASSP 2013: 8717-8721 - [i16]Muhammed O. Sayin, Suleyman Serdar Kozat:
Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks. CoRR abs/1306.1665 (2013) - [i15]N. Denizcan Vanli, Suleyman Serdar Kozat:
A Comprehensive Approach to Universal Nonlinear Regression Based on Trees. CoRR abs/1311.6392 (2013) - [i14]N. Denizcan Vanli, Suleyman Serdar Kozat:
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds. CoRR abs/1311.6396 (2013) - [i13]N. Denizcan Vanli, Mehmet A. Donmez, Suleyman Serdar Kozat:
Robust LS Equalization Methods for MIMO Systems Under Bounded Model Uncertainties. CoRR abs/1311.6402 (2013) - [i12]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
A Novel Family of Adaptive Filtering Algorithms Based on The Logarithmic Cost. CoRR abs/1311.6809 (2013) - 2012
- [j18]Nargiz Kalantarova, Suleyman Serdar Kozat, Alper T. Erdogan:
Robust Turbo Equalization Under Channel Uncertainties. IEEE Trans. Signal Process. 60(1): 261-273 (2012) - [j17]Mehmet A. Donmez, Suleyman Serdar Kozat:
Steady State and Transient MSE Analysis of Convexly Constrained Mixture Methods. IEEE Trans. Signal Process. 60(6): 3314-3321 (2012) - [c30]Mehmet A. Donmez, Suleyman Serdar Kozat:
Steady state MSE analysis of convexly constrained mixture methods. CIP 2012: 1-4 - [c29]Huseyin Ozkan, Arda Akman, Salih Ergüt, Suleyman Serdar Kozat:
A novel training method for PHMMs. CIP 2012: 1-5 - [c28]Huseyin A. Inan, Mehmet A. Donmez, Suleyman Serdar Kozat:
Adaptive mixture methods using Bregman divergences. ICASSP 2012: 3781-3784 - [c27]Nargiz Kalantarova, Mehmet A. Donmez, Suleyman Serdar Kozat:
Competitive least squares problem with bounded data uncertainties. ICASSP 2012: 3841-3844 - [c26]Mehmet A. Donmez, Huseyin Ozkan, Suleyman Serdar Kozat:
Transient analysis of convexly constrained mixture methods. MLSP 2012: 1-5 - [c25]Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat:
Optimal portfolios under transaction costs in discrete time markets. MLSP 2012: 1-6 - [c24]Nikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat:
Optimal Distance Estimation Between Compressed Data Series. SDM 2012: 343-354 - [c23]Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat:
Hidden Markov Model training with side information. SIU 2012: 1-4 - [c22]Huseyin Ozkan, Ozgun S. Pelvan, Arda Akman, Suleyman Serdar Kozat:
A novel and incremental classification algorithm. SIU 2012: 1-4 - [c21]Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat:
Growth optimal portfolios in discrete-time markets under transaction costs. SPAWC 2012: 500-504 - [i11]Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat:
Growth Optimal Portfolios in Discrete-time Markets Under Transaction Costs. CoRR abs/1203.4153 (2012) - [i10]Sait Tunç, Suleyman Serdar Kozat:
Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach. CoRR abs/1203.4156 (2012) - [i9]Nargiz Kalantarova, Mehmet A. Donmez, Suleyman Serdar Kozat:
A Novel Robust Approach to Least Squares Problems with Bounded Data Uncertainties. CoRR abs/1203.4160 (2012) - [i8]Nargiz Kalantarova, Kyeongyeon Kim, Suleyman Serdar Kozat, Andrew C. Singer:
Linear MMSE-Optimal Turbo Equalization Using Context Trees. CoRR abs/1203.4168 (2012) - [i7]Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer:
Low Complexity Turbo-Equalization: A Clustering Approach. CoRR abs/1203.4206 (2012) - [i6]Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat:
A New Analysis of an Adaptive Convex Mixture: A Deterministic Approach. CoRR abs/1203.4209 (2012) - [i5]Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat:
A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States. CoRR abs/1203.4597 (2012) - [i4]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Adaptive Mixture Methods Based on Bregman Divergences. CoRR abs/1203.4598 (2012) - [i3]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties. CoRR abs/1209.6405 (2012) - [i2]Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat:
A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms. CoRR abs/1209.6409 (2012) - 2011
- [j16]Suleyman Serdar Kozat, Andrew C. Singer, Andrew J. Bean:
A tree-weighting approach to sequential decision problems with multiplicative loss. Signal Process. 91(4): 890-905 (2011) - [j15]Suleyman Serdar Kozat, Alper T. Erdogan, Andrew C. Singer, Ali H. Sayed:
Transient Analysis of Adaptive Affine Combinations. IEEE Trans. Signal Process. 59(12): 6227-6232 (2011) - [c20]Nargiz Kalantarova, Kyeongyeon Kim, Suleyman Serdar Kozat, Andrew C. Singer:
Nonlinear turbo equalization using context trees. ITA 2011: 378-382 - 2010
- [j14]Yasin Yilmaz, Suleyman Serdar Kozat:
Competitive Randomized Nonlinear Prediction Under Additive Noise. IEEE Signal Process. Lett. 17(4): 335-339 (2010) - [j13]Suleyman Serdar Kozat, Andrew C. Singer:
Universal randomized switching. IEEE Trans. Signal Process. 58(3): 1922-1927 (2010) - [j12]Suleyman Serdar Kozat, Alper T. Erdogan:
Competitive linear estimation under model uncertainties. IEEE Trans. Signal Process. 58(4): 2388-2393 (2010) - [j11]Suleyman Serdar Kozat, Alper T. Erdogan, Andrew C. Singer, Ali H. Sayed:
Steady-state MSE performance analysis of mixture approaches to adaptive filtering. IEEE Trans. Signal Process. 58(8): 4050-4063 (2010) - [j10]Suleyman Serdar Kozat, Andrew C. Singer, Alper T. Erdogan, Ali H. Sayed:
Unbiased model combinations for adaptive filtering. IEEE Trans. Signal Process. 58(8): 4421-4427 (2010) - [j9]Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu:
Optimal distance bounds for fast search on compressed time-series query logs. ACM Trans. Web 4(2): 6:1-6:28 (2010) - [c19]Andrew C. Singer, Suleyman Serdar Kozat:
A competitive algorithm approach to adaptive filtering. ISWCS 2010: 350-354 - [c18]Ergun Biçici, Suleyman Serdar Kozat:
Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations. WMT@ACL 2010: 276-281
2000 – 2009
- 2009
- [j8]Andrew C. Singer, Jill K. Nelson, Suleyman Serdar Kozat:
Signal processing for underwater acoustic communications. IEEE Commun. Mag. 47(1): 90-96 (2009) - [j7]Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu:
Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Syst. 33(4): 241-259 (2009) - [j6]Suleyman Serdar Kozat, Andrew C. Singer:
Switching strategies for sequential decision problems with multiplicative loss with application to portfolios. IEEE Trans. Signal Process. 57(6): 2192-2208 (2009) - [j5]Suleyman Serdar Kozat, Andrew C. Singer:
Competitive prediction under additive noise. IEEE Trans. Signal Process. 57(9): 3698-3703 (2009) - [c17]Alper T. Erdogan, Suleyman Serdar Kozat, Andrew C. Singer:
Comparison of convex combination and affine combination of adaptive filters. ICASSP 2009: 3089-3092 - [c16]Suleyman Serdar Kozat, Andrew C. Singer:
A performance-weighted mixture of LMS filters. ICASSP 2009: 3101-3104 - [c15]Yasin Yilmaz, Suleyman Serdar Kozat:
An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. ICMLA 2009: 404-408 - [c14]Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu:
Optimal Distance Bounds on Time-Series Data. SDM 2009: 109-120 - [i1]Yucel Altug, Suleyman Serdar Kozat, Mehmet Kivanç Mihçak:
An Information Theoretic Analysis of Single Transceiver Passive RFID Networks. CoRR abs/0901.0643 (2009) - 2008
- [j4]Karen M. Guan, Suleyman Serdar Kozat, Andrew C. Singer:
Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter. EURASIP J. Adv. Signal Process. 2008 (2008) - [j3]Suleyman Serdar Kozat, Andrew C. Singer:
Universal Switching Linear Least Squares Prediction. IEEE Trans. Signal Process. 56(1): 189-204 (2008) - [c13]Suleyman Serdar Kozat, Andrew C. Singer, Andrew J. Bean:
Universal portfolios via context trees. ICASSP 2008: 2093-2096 - [c12]Binit Mohanty, John R. Hershey, Peder A. Olsen, Suleyman Serdar Kozat, Vaibhava Goel:
Optimizing speech recognition grammars using a measure of similarity between hidden Markov models. ICASSP 2008: 4953-4956 - [c11]Suleyman Serdar Kozat, Andrew C. Singer:
Universal switching portfolios under transaction costs. ICASSP 2008: 5404-5407 - 2007
- [j2]Suleyman Serdar Kozat, Andrew C. Singer, Georg Zeitler:
Universal Piecewise Linear Prediction Via Context Trees. IEEE Trans. Signal Process. 55(7-2): 3730-3745 (2007) - [c10]Suleyman Serdar Kozat, Karthik Visweswariah, Ramesh Gopinath:
Efficient, Low Latency Adaptation for Speech Recognition. ICASSP (4) 2007: 777-780 - [c9]Georg Zeitler, Andrew C. Singer, Suleyman Serdar Kozat:
Universal Piecewise Linear Regression of Individual Sequences: Lower Bound. ICASSP (3) 2007: 841-844 - [c8]Suleyman Serdar Kozat, Andrew C. Singer:
Universal Constant Rebalanced Portfolios with Switching. ICASSP (3) 2007: 1129-1132 - 2006
- [c7]Suleyman Serdar Kozat, Karthik Visweswariah, Ramesh Gopinath:
Feature Adaptation Based on Gaussian Posteriors. ICASSP (1) 2006: 221-224 - [c6]Andrew C. Singer, Suleyman Serdar Kozat:
Universal Context Tree Least Squares Prediction. ISIT 2006: 426-430 - 2004
- [b1]Suleyman Serdar Kozat:
Competitive Signal Processing. University of Illinois Urbana-Champaign, USA, 2004 - [c5]Suleyman Serdar Kozat, Andrew C. Singer:
Min-max optimal universal prediction with side information. ICASSP (5) 2004: 469-472 - [c4]Suleyman Serdar Kozat, Ramarathnam Venkatesan, Mehmet Kivanç Mihçak:
Robust perceptual image hashing via matrix invariants. ICIP 2004: 3443-3446 - [c3]David Luengo, Suleyman Serdar Kozat, Andrew C. Singer:
Universal piecewise linear least squares prediction. ISIT 2004: 198 - 2002
- [j1]Andrew C. Singer, Suleyman Serdar Kozat, Meir Feder:
Universal linear least squares prediction: Upper and lower bounds. IEEE Trans. Inf. Theory 48(8): 2354-2362 (2002) - [c2]Suleyman Serdar Kozat, Andrew C. Singer:
Further results in multistage adaptive filtering. ICASSP 2002: 1329-1332 - 2000
- [c1]Suleyman Serdar Kozat, Andrew C. Singer:
On universal linear prediction of Gaussian data. ICASSP 2000: 13-16
Coauthor Index
Furkan B. Mutlu
aka: Furkan Burak Mutlu
aka: Furkan Burak Mutlu
Muhammed O. Sayin
aka: Muhammed Omer Sayin
aka: Muhammed Omer Sayin
N. Denizcan Vanli
aka: Nuri Denizcan Vanli
aka: Nuri Denizcan Vanli
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