Andrey Gritsenko

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 19

Top Topics

Extreme Learning Machines

Pearson Correlation

Unsupervised Learning

Top Venues

J. Comput. Des. Eng.

Publications

Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
Graph transfer learning. Knowl. Inf. Syst. 65 (4) (2023)
Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
Graph Transfer Learning. ICDM (2021)
Tong Jian, Bruno Costa Rendon, Emmanuel Ojuba, Nasim Soltani, Zifeng Wang, Kunal Sankhe, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
Deep Learning for RF Fingerprinting: A Massive Experimental Study. IEEE Internet Things Mag. 3 (1) (2020)
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
Open-World Class Discovery with Kernel Networks. CoRR (2020)
Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
Twin Classification in Resting-State Brain Connectivity. ISBI (2020)
Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. J. Comput. Des. Eng. 7 (1) (2020)
Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy
Open-World Class Discovery with Kernel Networks. ICDM (2020)
Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. DySPAN (2019)
Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee
Statistical Inference on the Number of Cycles in Brain Networks. ISBI (2019)
Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
Incremental ELMVIS for unsupervised learning. CoRR (2019)
Tong Jian, Bruno Costa Rendon, Andrey Gritsenko, Jennifer G. Dy, Kaushik R. Chowdhury, Stratis Ioannidis
MAC ID Spoofing-Resistant Radio Fingerprinting. GlobalSIP (2019)
Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
Circular Pearson Correlation Using Cosine Series Expansion. ISBI (2019)
Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse
Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cogn. Comput. 10 (3) (2018)
Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung
Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. CoRR (2018)
Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse
Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. HAIS (2017)
Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse
Advanced query strategies for Active Learning with Extreme Learning Machines. ESANN (2017)
Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks. CoRR (2017)
Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse
Adding reliability to ELM forecasts by confidence intervals. Neurocomputing 219 (2017)
Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse
Combined nonlinear visualization and classification: ELMVIS++C. IJCNN (2016)
Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse
Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) (2015)
Andrey Gritsenko
A Workflow-Forecast Approach To The Task Scheduling Problem In Distributed Computing Systems. CoRR (2013)