Andrey Gritsenko

According to our database, Andrey Gritsenko authored at least 19 papers between 2013 and 2023.

Collaborative distances:

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

2023

Graph transfer learning.

Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis

Knowl. Inf. Syst., April, 2023

2020

Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks.

Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek

J. Comput. Des. Eng., 2020

Deep Learning for RF Fingerprinting: A Massive Experimental Study.

Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis

IEEE Internet Things Mag., 2020

Twin Classification in Resting-State Brain Connectivity.

Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Open-World Class Discovery with Kernel Networks.

Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Incremental ELMVIS for unsupervised learning.

Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse

CoRR, 2019

Circular Pearson Correlation Using Cosine Series Expansion.

Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Statistical Inference on the Number of Cycles in Brain Networks.

Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

MAC ID Spoofing-Resistant Radio Fingerprinting.

Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning.

Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis

Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019

2018

Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI.

Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung

CoRR, 2018

Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables.

Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse

Cogn. Comput., 2018

2017

Adding reliability to ELM forecasts by confidence intervals.

Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2017

Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks.

Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek

CoRR, 2017

Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs.

Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Advanced query strategies for Active Learning with Extreme Learning Machines.

Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Combined nonlinear visualization and classification: ELMVIS++C.

Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.

Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse

Proceedings of the Advances in Computational Intelligence, 2015

2013

A Workflow-Forecast Approach To The Task Scheduling Problem In Distributed Computing Systems.

Andrey Gritsenko

CoRR, 2013