Ibrahim Delibalta

According to our database1, Ibrahim Delibalta authored at least 27 papers between 2015 and 2018.

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

Timeline

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Bibliography

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

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

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

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

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

Crowdsourcing-based mobile network tomography for xG wireless systems.
Proceedings of the IEEE Symposium on Computers and Communication, 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
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

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


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