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ORCIDAlexander Kaplan
Person information
- affiliation: Johns Hopkins University, USA
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Journal Articles
- 2023
[j10]Ekaterina Mikhaylets
, Alexandra M. Razorenova, Vsevolod Chernyshev, Nikolay Syrov, Lev Yakovlev, Julia Boytsova, Elena Kokurina, Yulia Zhironkina, Svyatoslav Medvedev, Alexander Kaplan:
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation. Frontiers Neuroinformatics 17 (2023)- 2019
- [j9]Ksenia Volkova, Mikhail A. Lebedev, Alexander Kaplan, Alexei Ossadtchi:
Decoding Movement From Electrocorticographic Activity: A Review. Frontiers Neuroinformatics 13: 74 (2019) - 2013
- [j8]Alexander Kaplan, Sergei L. Shishkin, Ilya P. Ganin, Ivan A. Basyul, Alexander Y. Zhigalov:
Adapting the P300-Based Brain-Computer Interface for Gaming: A Review. IEEE Trans. Comput. Intell. AI Games 5(2): 141-149 (2013) - 2008
- [j7]Alexander Kaplan, Rainer Tichatschke:
Bregman functions and auxiliary problem principle. Optim. Methods Softw. 23(1): 95-107 (2008) - 2003
- [j6]Polina Landa, Alexander Kaplan, Elena Zhukovskaya:
A model for the speed of memory retrieval. Biol. Cybern. 89(4): 313-316 (2003) - 2002
- [j5]Alexander Kaplan, Rainer Tichatschke:
Convergence analysis of non-quadratic proximal methods for variational inequalities in Hilbert spaces. J. Glob. Optim. 22(1-4): 119-136 (2002) - 2000
- [j4]Alexander Kaplan, Rainer Tichatschke:
Auxiliary Problem Principle and Proximal Point Methods. J. Glob. Optim. 17(1-4): 201-224 (2000) - [j3]Alexander Kaplan, Rainer Tichatschke:
Proximal Point Approach and Approximation of Variational Inequalities. SIAM J. Control. Optim. 39(4): 1136-1159 (2000) - 1998
- [j2]Alexander Kaplan, Rainer Tichatschke:
Proximal Point Methods and Nonconvex Optimization. J. Glob. Optim. 13(4): 389-406 (1998) - 1993
- [j1]Alexander Kaplan, Rainer Tichatschke:
Iterative processes for solving incorrect convex variational problems. J. Glob. Optim. 3(2): 243-255 (1993)
Conference and Workshop Papers
- 2024
- [c11]Nikita Piliugin, Gurgen Soghoyan, Artur Biktimirov, Yury Matvienko, Ilya Chekh, Mikhail Sintsov, Mikhail Lebedev, Alexander Kaplan:
Unraveling Sensory Restoration: Decoding Complex Behavioral Data through Peripheral Nerve Stimulation Analysis. BCI 2024: 1-4 - 2022
- [c10]Alexander Kaplan, Shir Landau Feibish:
Practical handling of DNS in the data plane. SOSR 2022: 59-66 - 2021
- [c9]Nikolay Syrov, Anatoly N. Vasilyev, Alexander Kaplan:
Sensorimotor EEG Rhythms During Action Observation and Passive Mirror-Box Illusion. HCI (45) 2021: 101-106 - [c8]Lev Yakovlev, Ivan Kuznetsov, Nikolay Syrov, Alexander Kaplan:
Motor Imagery Training Improves Reaction Time in Mouse Aiming Task. IHIET (Paris) 2021: 1063-1068 - [c7]Alexander Kaplan, Shir Landau Feibish:
DNS water torture detection in the data plane. SIGCOMM Posters and Demos 2021: 24-26 - 2020
- [c6]Nikolay Syrov, Dmitry Bredichin, Alexander Kaplan:
Processing of Sensory Information is Affected by BCI Feedback Being Perceived. HCI (38) 2020: 575-580 - [c5]Lev Yakovlev, Nikolay Syrov, Nikolai Görtz, Alexander Kaplan:
BCI-Controlled Motor Imagery Training Can Improve Performance in e-Sports. HCI (38) 2020: 581-586 - 2017
- [c4]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon:
In-Datacenter Performance Analysis of a Tensor Processing Unit. ISCA 2017: 1-12 - 2016
- [c3]Alexander Kaplan, Anatoly N. Vasilyev, Sofya Liburkina, Lev Yakovlev:
Poor BCI Performers Still Could Benefit from Motor Imagery Training. HCI (13) 2016: 46-56 - 2004
- [c2]Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni:
Robust Feature Matching Across Widely Separated Color Images. ICPR (2) 2004: 136-139 - 2003
- [c1]Alexander Kaplan, Jong-Jin Lim, Kyung-Soo Jin, Jong-Gil Byeon, S. U. Tarasova:
The Conception of Intellectual Brain Computer Interface: Fundamentals and Experiment. IICAI 2003: 712-721
Reference Works
- 2009
- [r2]Alexander Kaplan, Rainer Tichatschke:
Ill-posed Variational Problems. Encyclopedia of Optimization 2009: 1556-1561 - [r1]Rainer Hettich, Alexander Kaplan, Rainer Tichatschke:
Semi-infinite Programming: Numerical Methods. Encyclopedia of Optimization 2009: 3429-3434
Informal and Other Publications
- 2024
- [i13]Shijian Deng, Erin E. Kosloski, Siddhi Patel, Zeke A. Barnett, Yiyang Nan, Alexander Kaplan, Sisira Aarukapalli, William T. Doan, Matthew Wang, Harsh Singh, Pamela R. Rollins, Yapeng Tian:
Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognition. CoRR abs/2406.02554 (2024) - 2017
- [i12]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon:
In-Datacenter Performance Analysis of a Tensor Processing Unit. CoRR abs/1704.04760 (2017) - 2002
- [i11]Alexander Kaplan, Rainer Tichatschke:
Weak Error Tolerance Criterion in Generalized Proximal Methods. Universität Trier, Mathematik/Informatik, Forschungsbericht 02-22 (2002) - 2001
- [i10]Alexander Kaplan, Rainer Tichatschke:
Non-quadratic Proximal Regularization with Application to Variational Inequalities in Hilbert Spaces. Universität Trier, Mathematik/Informatik, Forschungsbericht 01-01 (2001) - [i9]Alexander Kaplan, Rainer Tichatschke:
Interior Proximal Method for Variational Inequalities: Case of Non-paramonotone Operators. Universität Trier, Mathematik/Informatik, Forschungsbericht 01-20 (2001) - 2000
- [i8]Rainer Tichatschke, Alexander Kaplan, Tim Voetmann, M. Böhm:
Numerical Solution of Control Problems under Uncertainty and Perturbation of Input Data with Applications in Finance. Universität Trier, Mathematik/Informatik, Forschungsbericht 00-05 (2000) - 1999
- [i7]Alexander Kaplan, Rainer Tichatschke:
Auxiliary Problem Principle and Proximal Point Methods. Universität Trier, Mathematik/Informatik, Forschungsbericht 99-14 (1999) - 1998
- [i6]Alexander Kaplan, Rainer Tichatschke:
Proximal Interior Point Approach for Solving Convex Semi-infinite Programming Problems. Universität Trier, Mathematik/Informatik, Forschungsbericht 98-09 (1998) - 1997
- [i5]Alexander Kaplan, Rainer Tichatschke:
Stable Methods for Variational Inequalities with Set Valued Monotone Operators. Universität Trier, Mathematik/Informatik, Forschungsbericht 97-07 (1997) - [i4]Alexander Kaplan, Rainer Tichatschke:
Regularized Penalty Method for Parabolic Optimal Control Problems. Universität Trier, Mathematik/Informatik, Forschungsbericht 97-10 (1997) - 1996
- [i3]Alexander Kaplan, Rainer Tichatschke:
Proximal Point Methods in Examples. Universität Trier, Mathematik/Informatik, Forschungsbericht 96-20 (1996) - [i2]Alexander Kaplan, Rainer Tichatschke:
Proximal Interior Point Approach in Convex Programming. Universität Trier, Mathematik/Informatik, Forschungsbericht 96-27 (1996) - 1995
- [i1]Alexander Kaplan, Rainer Tichatschke:
Proximal Methods in View of Interior-Point-Strategies. Universität Trier, Mathematik/Informatik, Forschungsbericht 95-18 (1995)
Coauthor Index
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