Suleyman Serdar Kozat

According to our database1, Suleyman Serdar Kozat authored at least 171 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels.
IEEE Trans. Signal Process., 2020

Energy-Efficient LSTM Networks for Online Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Anomaly Detection With LSTM Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Efficient online learning with improved LSTM neural networks.
Digit. Signal Process., 2020

A novel distributed anomaly detection algorithm based on support vector machines.
Digit. Signal Process., 2020

PySAD: A Streaming Anomaly Detection Framework in Python.
CoRR, 2020

Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance.
CoRR, 2020

Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees.
CoRR, 2020

Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments.
CoRR, 2020

Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks.
CoRR, 2020

A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data.
CoRR, 2020

Achieving Online Regression Performance of LSTMs with Simple RNNs.
CoRR, 2020

Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization.
CoRR, 2020

Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees.
CoRR, 2020

RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee.
CoRR, 2020

2019
Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays.
IEEE Trans. Signal Process., 2019

Sequential Outlier Detection Based on Incremental Decision Trees.
IEEE Trans. Signal Process., 2019

Nonuniformly Sampled Data Processing Using LSTM Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures.
IEEE Trans. Neural Networks Learn. Syst., 2019

Team-optimal online estimation of dynamic parameters over distributed tree networks.
Signal Process., 2019

Nonlinear regression via incremental decision trees.
Pattern Recognit., 2019

Stability of the Decoupled Extended Kalman Filter in the LSTM-Based Online Learning.
CoRR, 2019

An Efficient EKF Based Algorithm For LSTM-Based Online Learning.
CoRR, 2019

Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret.
CoRR, 2019

Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures.
CoRR, 2019

Sequential Anomaly Detection Using Nonparametric Density Estimators.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018
Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs.
J. Signal Process. Syst., 2018

Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments.
IEEE Trans. Signal Process., 2018

An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem.
IEEE Trans. Neural Networks Learn. Syst., 2018

Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2018

Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences.
IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Online Learning Algorithms Based on LSTM Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Boosted adaptive filters.
Digit. Signal Process., 2018

Sequential Outlier Detection based on Incremental Decision Trees.
CoRR, 2018

Recurrent neural networks based online learning algorithms for distributed systems.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks.
IEEE Trans. Netw. Sci. Eng., 2017

Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines.
IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction.
IEEE Trans. Knowl. Data Eng., 2017

Highly efficient nonlinear regression for big data with lexicographical splitting.
Signal Image Video Process., 2017

Computationally highly efficient mixture of adaptive filters.
Signal Image Video Process., 2017

Highly efficient hierarchical online nonlinear regression using second order methods.
Signal Process., 2017

Adaptive and efficient nonlinear channel equalization for underwater acoustic communication.
Phys. Commun., 2017

An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach.
J. Electr. Comput. Eng., 2017

Resource-aware event triggered distributed estimation over adaptive networks.
Digit. Signal Process., 2017

Team-optimal distributed MMSE estimation in general and tree networks.
Digit. Signal Process., 2017

Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis.
Digit. Signal Process., 2017

Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks.
CoRR, 2017

Sequential churn prediction and analysis of cellular network users - A multi-class, multi-label perspective.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

An efficient bandit algorithm for general weight assignments.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Online distributed nonlinear regression via neural networks.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Neural networks based online learning.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Novelty detection using soft partitioning and hierarchical models.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Sequential Prediction Over Hierarchical Structures.
IEEE Trans. Signal Process., 2016

Online Classification via Self-Organizing Space Partitioning.
IEEE Trans. Signal Process., 2016

Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error.
IEEE Trans. Signal Process., 2016

Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees.
IEEE Trans. Big Data, 2016

Online Anomaly Detection With Nested Trees.
IEEE Signal Process. Lett., 2016

Growth optimal investment in discrete-time markets with proportional transaction costs.
Digit. Signal Process., 2016

Network structures and fast distributed MMSE estimation.
CoRR, 2016

A Nearly Optimal Contextual Bandit Algorithm.
CoRR, 2016

Boosted Adaptive Filters.
CoRR, 2016

Online text classification for real life tweet analysis.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Communication efficient distributed estimation.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Mathematical model of causal inference in Social Networks.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Online adaptive hierarchical space partitioning classifier.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Mixture of set membership filters approach for big data signal processing.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A tree-based solution to nonlinear regression problem.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Big data signal processing using boosted RLS algorithm.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Nonlinear regression using second order methods.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Distributed adaptive filtering with reduced communication load.
Proceedings of the 24th European Signal Processing Conference, 2016

Adaptive hierarchical space partitioning for online classification.
Proceedings of the 24th European Signal Processing Conference, 2016

Online churn detection on high dimensional cellular data using adaptive hierarchical trees.
Proceedings of the 24th European Signal Processing Conference, 2016

Boosted LMS-based piecewise linear adaptive filters.
Proceedings of the 24th European Signal Processing Conference, 2016

Piecewise linear regression based on adaptive tree structure using second order methods.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds.
IEEE Trans. Neural Networks Learn. Syst., 2015

Data Imputation Through the Identification of Local Anomalies.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2015

The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis.
Signal Process., 2015

Robust least squares methods under bounded data uncertainties.
Digit. Signal Process., 2015

A new robust adaptive algorithm for underwater acoustic channel equalization.
CoRR, 2015

Universal online prediction via order preserving patterns.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Efficient and distributed tracking of evolving state.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Online anomaly detection with constant false alarm rate.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

High dimensional sequential regression on manifolds using adaptive hierarchical trees.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Twice-universal piecewise linear regression via infinite depth context trees.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Scalable Approach for Online Hierarchical Big Data Mining.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Online Nonlinear Classification for High-Dimensional Data.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Optimal and Efficient Distributed Online Learning for Big Data.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees.
IEEE Trans. Signal Process., 2014

A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost.
IEEE Trans. Signal Process., 2014

Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load.
IEEE Trans. Signal Process., 2014

A novel and robust parameter training approach for HMMs under noisy and partial access to states.
Signal Process., 2014

Low Complexity Turbo-Equalization: A Clustering Approach.
IEEE Commun. Lett., 2014

Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks.
CoRR, 2014

Online Piecewise Linear Regression via Infinite Depth Context Trees.
CoRR, 2014

Competitive linear MMSE estimation under structured data uncertainties.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Sequential nonlinear regression via context trees.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust set-membership filtering algorithms against impulsive noise.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Performance analysis of scalar diffusion strategy over distributed network.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust regularized least squares estimation in the presence of bounded data uncertainties.
Proceedings of the IEEE International Conference on Acoustics, 2014

Logarithmic regret bound over diffusion based distributed estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Improved convergence performance of adaptive algorithms through logarithmic cost.
Proceedings of the IEEE International Conference on Acoustics, 2014

Energy consumption forecasting via order preserving pattern matching.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Communication efficient channel estimation over distributed networks.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Comprehensive lower bounds on sequential prediction.
Proceedings of the 22nd European Signal Processing Conference, 2014

Piecewise nonlinear regression via decision adaptive trees.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach.
IEEE Trans. Signal Process., 2013

Linear MMSE-Optimal Turbo Equalization Using Context Trees.
IEEE Trans. Signal Process., 2013

Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks.
IEEE Signal Process. Lett., 2013

Tracking the best level set in a level-crossing analog-to-digital converter.
Digit. Signal Process., 2013

Robust estimation in flat fading channels under bounded channel uncertainties.
Digit. Signal Process., 2013

Adaptive mixture methods based on Bregman divergences.
Digit. Signal Process., 2013

A Comprehensive Approach to Universal Nonlinear Regression Based on Trees.
CoRR, 2013

Robust LS Equalization Methods for MIMO Systems Under Bounded Model Uncertainties.
CoRR, 2013

Growth optimal investment with threshold rebalancing portfolios under transaction costs.
Proceedings of the IEEE International Conference on Acoustics, 2013

Competitive and online piecewise linear classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Robust Turbo Equalization Under Channel Uncertainties.
IEEE Trans. Signal Process., 2012

Steady State and Transient MSE Analysis of Convexly Constrained Mixture Methods.
IEEE Trans. Signal Process., 2012

A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms
CoRR, 2012

Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties
CoRR, 2012

A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States
CoRR, 2012

A New Analysis of an Adaptive Convex Mixture: A Deterministic Approach
CoRR, 2012

A Novel Robust Approach to Least Squares Problems with Bounded Data Uncertainties
CoRR, 2012

Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach
CoRR, 2012

Growth optimal portfolios in discrete-time markets under transaction costs.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

A novel and incremental classification algorithm.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Hidden Markov Model training with side information.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Optimal Distance Estimation Between Compressed Data Series.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Optimal portfolios under transaction costs in discrete time markets.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Transient analysis of convexly constrained mixture methods.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Competitive least squares problem with bounded data uncertainties.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Adaptive mixture methods using Bregman divergences.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A novel training method for PHMMs.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Steady state MSE analysis of convexly constrained mixture methods.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Transient Analysis of Adaptive Affine Combinations.
IEEE Trans. Signal Process., 2011

A tree-weighting approach to sequential decision problems with multiplicative loss.
Signal Process., 2011

Nonlinear turbo equalization using context trees.
Proceedings of the Information Theory and Applications Workshop, 2011

2010
Optimal distance bounds for fast search on compressed time-series query logs.
ACM Trans. Web, 2010

Unbiased model combinations for adaptive filtering.
IEEE Trans. Signal Process., 2010

Universal randomized switching.
IEEE Trans. Signal Process., 2010

Steady-state MSE performance analysis of mixture approaches to adaptive filtering.
IEEE Trans. Signal Process., 2010

Competitive linear estimation under model uncertainties.
IEEE Trans. Signal Process., 2010

Competitive Randomized Nonlinear Prediction Under Additive Noise.
IEEE Signal Process. Lett., 2010

Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations.
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

A competitive algorithm approach to adaptive filtering.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

2009
Competitive prediction under additive noise.
IEEE Trans. Signal Process., 2009

Switching strategies for sequential decision problems with multiplicative loss with application to portfolios.
IEEE Trans. Signal Process., 2009

Embedding and Retrieving Private Metadata in Electrocardiograms.
J. Medical Syst., 2009

An Information Theoretic Analysis of Single Transceiver Passive RFID Networks
CoRR, 2009

Signal processing for underwater acoustic communications.
IEEE Commun. Mag., 2009

Optimal Distance Bounds on Time-Series Data.
Proceedings of the SIAM International Conference on Data Mining, 2009

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections.
Proceedings of the International Conference on Machine Learning and Applications, 2009

A performance-weighted mixture of LMS filters.
Proceedings of the IEEE International Conference on Acoustics, 2009

Comparison of convex combination and affine combination of adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Universal Switching Linear Least Squares Prediction.
IEEE Trans. Signal Process., 2008

Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter.
EURASIP J. Adv. Signal Process., 2008

Optimizing speech recognition grammars using a measure of similarity between hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2008

Universal portfolios via context trees.
Proceedings of the IEEE International Conference on Acoustics, 2008

Universal switching portfolios under transaction costs.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Universal Piecewise Linear Prediction Via Context Trees.
IEEE Trans. Signal Process., 2007

Universal Piecewise Linear Regression of Individual Sequences: Lower Bound.
Proceedings of the IEEE International Conference on Acoustics, 2007

Efficient, Low Latency Adaptation for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007

Universal Constant Rebalanced Portfolios with Switching.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Universal Context Tree Least Squares Prediction.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Feature Adaptation Based on Gaussian Posteriors.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004
Universal piecewise linear least squares prediction.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Robust perceptual image hashing via matrix invariants.
Proceedings of the 2004 International Conference on Image Processing, 2004

Min-max optimal universal prediction with side information.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
Universal linear least squares prediction: Upper and lower bounds.
IEEE Trans. Inf. Theory, 2002

Further results in multistage adaptive filtering.
Proceedings of the IEEE International Conference on Acoustics, 2002

2000
On universal linear prediction of Gaussian data.
Proceedings of the IEEE International Conference on Acoustics, 2000


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