Onur Dikmen

According to our database, Onur Dikmen authored at least 22 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Wisdom of the contexts: active ensemble learning for contextual anomaly detection.

Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen

Data Min. Knowl. Discov., 2022

2020

No free lunch but a cheaper supper: A general framework for streaming anomaly detection.

Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen

Expert Syst. Appl., 2020

Interactive Anomaly Detection Based on Clustering and Online Mirror Descent.

Lingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

2019

Differentially Private Markov Chain Monte Carlo.

Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Differentially Private Variational Inference for Non-conjugate Models.

Joonas Jälkö, Antti Honkela, Onur Dikmen

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

Efficient differentially private learning improves drug sensitivity prediction.

Antti Honkela, Mrinal Das, Onur Dikmen, Samuel Kaski

CoRR, 2016

2015

Learning the Information Divergence.

Onur Dikmen, Zhirong Yang, Erkki Oja

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Learning Mixtures of Ising Models using Pseudolikelihood.

Onur Dikmen

CoRR, 2015

Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence.

Ehsan Amid, Onur Dikmen, Erkki Oja

CoRR, 2015

Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations.

Annamaria Mesaros, Toni Heittola, Onur Dikmen, Tuomas Virtanen

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Sequential Monte Carlo samplers for marginal likelihood computation in multiplicative exponential noise models.

Onur Dikmen, Ali Taylan Cemgil

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

2013

Sound event detection using non-negative dictionaries learned from annotated overlapping events.

Onur Dikmen, Annamaria Mesaros

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

2012

Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson Model.

Onur Dikmen, Cédric Févotte

IEEE Trans. Signal Process., 2012

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk.

Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation.

Onur Dikmen, Cédric Févotte

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Maximum marginal likelihood estimation for nonnegative dictionary learning.

Onur Dikmen, Cédric Févotte

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Gamma Markov Random Fields for Audio Source Modeling.

Onur Dikmen, Ali Taylan Cemgil

IEEE Trans. Speech Audio Process., 2010

2009

Bayesian source modelling for single-channel audio separation (Ses sinyallerinin tek kanaldan ayrıştırılmasında Bayesçi modeller)

Onur Dikmen

PhD thesis, 2009

Unsupervised single-channel source separation using bayesian NMF.

Onur Dikmen, Ali Taylan Cemgil

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

2007

Parallel univariate decision trees.

Olcay Taner Yildiz, Onur Dikmen

Pattern Recognit. Lett., 2007

Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources.

Ali Taylan Cemgil, Onur Dikmen

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2003

Estimating Distributions in Genetic Algorithms.

Onur Dikmen, H. Levent Akin, Ethem Alpaydin

Proceedings of the Computer and Information Sciences, 2003