Onur Dikmen - researchr alias

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Viewing Publication 1 - 19 from 19

2022

Wisdom of the contexts: active ensemble learning for contextual anomaly detectionEce Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen. datamine, 36(6):2410-2458, 2022. [doi]

2020

No free lunch but a cheaper supper: A general framework for streaming anomaly detectionEce Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen. eswa, 155:113453, 2020. [doi]

Interactive Anomaly Detection Based on Clustering and Online Mirror DescentLingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen. pkdd 2020: 173-186 [doi]

2019

Differentially Private Markov Chain Monte CarloMikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela. nips 2019: 4115-4125 [doi]

2017

Differentially Private Variational Inference for Non-conjugate ModelsJoonas Jälkö, Antti Honkela, Onur Dikmen. uai 2017: [doi]

2015

Learning the Information DivergenceOnur Dikmen, Zhirong Yang, Erkki Oja. pami, 37(7):1442-1454, 2015. [doi]

Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotationsAnnamaria Mesaros, Toni Heittola, Onur Dikmen, Tuomas Virtanen. icassp 2015: 151-155 [doi]

2014

Sequential Monte Carlo samplers for marginal likelihood computation in multiplicative exponential noise modelsOnur Dikmen, Ali Taylan Cemgil. gacm 2014: 276-279 [doi]

2013

Sound event detection using non-negative dictionaries learned from annotated overlapping eventsOnur Dikmen, Annamaria Mesaros. waspaa 2013: 1-4 [doi]

2012

Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson ModelOnur Dikmen, Cédric Févotte. tsp, 60(10):5163-5175, 2012. [doi]

Clustering by Nonnegative Matrix Factorization Using Graph Random WalkZhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja. nips 2012: 1088-1096 [doi]

2011

Nonnegative dictionary learning in the exponential noise model for adaptive music signal representationOnur Dikmen, Cédric Févotte. nips 2011: 2267-2275 [doi]

Maximum marginal likelihood estimation for nonnegative dictionary learningOnur Dikmen, Cédric Févotte. icassp 2011: 1992-1995 [doi]

2010

Gamma Markov Random Fields for Audio Source ModelingOnur Dikmen, Ali Taylan Cemgil. taslp, 18(3):589-601, 2010. [doi]

2009

Unsupervised single-channel source separation using bayesian NMFOnur Dikmen, Ali Taylan Cemgil. waspaa 2009: 93-96 [doi]

Bayesian source modelling for single-channel audio separation (Ses sinyallerinin tek kanaldan ayrıştırılmasında Bayesçi modeller)Onur Dikmen. PhD thesis, Boğaziçi University, Turkey, 2009. [doi]

2007

Conjugate Gamma Markov Random Fields for Modelling Nonstationary SourcesAli Taylan Cemgil, Onur Dikmen. ica 2007: 697-705 [doi]

Parallel univariate decision treesOlcay Taner Yildiz, Onur Dikmen. prl, 28(7):825-832, 2007. [doi]

2003

Estimating Distributions in Genetic AlgorithmsOnur Dikmen, H. Levent Akin, Ethem Alpaydin. iscis 2003: 521-528 [doi]

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