Aydin Ulas

Orcid: 0000-0003-2225-7491

Affiliations:
  • Boğaziçi University, Department of Computer Engineering, Turkey


According to our database1, Aydin Ulas authored at least 29 papers between 2008 and 2019.

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Bibliography

2019
Joint Routing and Resource Allocation for Software Defined Mobile Networks.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

2017
Secure virtual network embedding with flexible bandwidth-based revenue maximization.
Comput. Networks, 2017

2016
New concepts for traffic, resource and mobility management in software-defined mobile networks.
Proceedings of the 12th Annual Conference on Wireless On-demand Network Systems and Services, 2016

Flexible bandwidth-based virtual network embedding.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Energy aware routing and traffic management for software defined networks.
Proceedings of the IEEE NetSoft Conference and Workshops, 2016

Dynamic management of control plane performance in software-defined networks.
Proceedings of the IEEE NetSoft Conference and Workshops, 2016

Incremental construction of rule ensembles using classifiers produced by different class orderings.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
QoS control and prioritization with SDN.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Distributed flow management for SDN domains.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
Automatic topology discovery in software defined networks.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

On the Combination of Information-Theoretic Kernels with Generative Embeddings.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Combining information theoretic kernels with generative embeddings for classification.
Neurocomputing, 2013

2012
Cost-conscious comparison of supervised learning algorithms over multiple data sets.
Pattern Recognit., 2012

Eigenclassifiers for combining correlated classifiers.
Inf. Sci., 2012

Biomarker Evaluation by Multiple Kernel Learning for Schizophrenia Detection.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

A Localized MKL Method for Brain Classification with Known Intra-class Variability.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

A multiple kernel learning approach to multi-modal pedestrian classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Dissimilarity-based detection of schizophrenia.
Int. J. Imaging Syst. Technol., 2011

Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Multimodal Schizophrenia Detection by Multiclassification Analysis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2009
Incremental construction of cost-conscious ensembles using multiple learners and representations in machine learning (Yapay öğrenmede çoklu öğrenici ve gösterimleri kullanarak maliyet bilinçli kümelerin artırımlı oluşturulması)
PhD thesis, 2009

Incremental construction of classifier and discriminant ensembles.
Inf. Sci., 2009

An Incremental Model Selection Algorithm Based on Cross-Validation for Finding the Architecture of a Hidden Markov Model on Hand Gesture Data Sets.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Representation Plurality and Fusion for 3-D Face Recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2008


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