Onur Dikmen

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 10

Top Topics

Anomaly Detection

Differentially Private

Matrix Factorization

Top Venues

IoT Streams/ITEM@PKDD/ECML

Publications

Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
Wisdom of the contexts: active ensemble learning for contextual anomaly detection. Data Min. Knowl. Discov. 36 (6) (2022)
Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection. CoRR (2021)
Lingyun Cheng, Sadhana Sundaresh, Mohamed-Rafik Bouguelia, Onur Dikmen
Interactive Anomaly Detection Based on Clustering and Online Mirror Descent. IoT Streams/ITEM@PKDD/ECML (2020)
Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen
No free lunch but a cheaper supper: A general framework for streaming anomaly detection. Expert Syst. Appl. 155 (2020)
Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela
Differentially Private Markov Chain Monte Carlo. CoRR (2019)
Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection. CoRR (2019)
Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela
Differentially Private Markov Chain Monte Carlo. NeurIPS (2019)
Joonas Jälkö, Antti Honkela, Onur Dikmen
Differentially Private Variational Inference for Non-conjugate Models. UAI (2017)
Joonas Jälkö, Onur Dikmen, Antti Honkela
Differentially Private Variational Inference for Non-conjugate Models. CoRR (2016)
Antti Honkela, Mrinal Das, Onur Dikmen, Samuel Kaski
Efficient differentially private learning improves drug sensitivity prediction. CoRR (2016)
Ehsan Amid, Onur Dikmen, Erkki Oja
Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence. CoRR (2015)
Annamaria Mesaros, Toni Heittola, Onur Dikmen, Tuomas Virtanen
Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations. ICASSP (2015)
Onur Dikmen, Zhirong Yang, Erkki Oja
Learning the Information Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Onur Dikmen
Learning Mixtures of Ising Models using Pseudolikelihood. CoRR (2015)
Onur Dikmen, Ali Taylan Cemgil
Sequential Monte Carlo samplers for marginal likelihood computation in multiplicative exponential noise models. SSP (2014)
Onur Dikmen, Zhirong Yang, Erkki Oja
Learning the Information Divergence. CoRR (2014)
Onur Dikmen, Annamaria Mesaros
Sound event detection using non-negative dictionaries learned from annotated overlapping events. WASPAA (2013)
Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. NIPS (2012)
Onur Dikmen, Cédric Févotte
Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson Model. IEEE Trans. Signal Process. 60 (10) (2012)
Onur Dikmen, Cédric Févotte
Maximum marginal likelihood estimation for nonnegative dictionary learning. ICASSP (2011)
Onur Dikmen, Cédric Févotte
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation. NIPS (2011)
Onur Dikmen, Ali Taylan Cemgil
Gamma Markov Random Fields for Audio Source Modeling. IEEE Trans. Speech Audio Process. 18 (3) (2010)
Onur Dikmen, Ali Taylan Cemgil
Unsupervised single-channel source separation using bayesian NMF. WASPAA (2009)
Ali Taylan Cemgil, Onur Dikmen
Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources. ICA (2007)
Olcay Taner Yildiz, Onur Dikmen
Parallel univariate decision trees. Pattern Recognit. Lett. 28 (7) (2007)
Onur Dikmen, H. Levent Akin, Ethem Alpaydin
Estimating Distributions in Genetic Algorithms. ISCIS (2003)