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Barbara Barabasz
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2020 – today
- 2022
- [j4]Syed Asad Alam
, Andrew Anderson
, Barbara Barabasz
, David Gregg
:
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. ACM Trans. Embed. Comput. Syst. 21(6): 80:1-80:28 (2022) - [i4]Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg:
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. CoRR abs/2201.10369 (2022) - 2020
- [j3]Barbara Barabasz
, Andrew Anderson, Kirk M. Soodhalter, David Gregg:
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. ACM Trans. Math. Softw. 46(4): 37:1-37:33 (2020) - [i3]Barbara Barabasz:
Quantaized Winograd/Toom-Cook Convolution for DNNs: Beyond Canonical Polynomials Base. CoRR abs/2004.11077 (2020)
2010 – 2019
- 2019
- [j2]Barbara Barabasz, Stephen Barrett, Leszek Siwik
, Marcin Los
, Krzysztof Podsiadlo
, Maciej Wozniak
:
Speeding up multi-objective optimization of liquid fossil fuel reserve exploitation with parallel hybrid memory integration. J. Comput. Sci. 31: 126-136 (2019) - [c6]Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond Linear Polynomials. AI*IA 2019: 307-320 - [i2]Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond linear polinomials. CoRR abs/1905.05233 (2019) - 2018
- [i1]Barbara Barabasz, Andrew Anderson, David Gregg:
Improving accuracy of Winograd convolution for DNNs. CoRR abs/1803.10986 (2018) - 2017
- [c5]Barbara Barabasz, Marcin Los
, Maciej Wozniak
, Leszek Siwik
, Stephen Barrett:
Coupled isogeometric Finite Element Method and Hierarchical Genetic Strategy with balanced accuracy for solving optimization inverse problem. ICCS 2017: 828-837 - 2014
- [j1]Barbara Barabasz, Ewa Gajda-Zagórska, Stanislaw Migórski, Maciej Paszynski
, Robert Schaefer, Maciej Smolka
:
A hybrid algorithm for solving inverse problems in elasticity. Int. J. Appl. Math. Comput. Sci. 24(4): 865-886 (2014)
2000 – 2009
- 2009
- [c4]Robert Schaefer, Barbara Barabasz, Maciej Paszynski
:
Solving inverse problems by the multi-deme hierarchic genetic strategy. IEEE Congress on Evolutionary Computation 2009: 3157-3163 - [c3]Barbara Barabasz, Robert Schaefer, Maciej Paszynski
:
Handling Ambiguous Inverse Problems by the Adaptive Genetic Strategy hp-HGS. ICCS (2) 2009: 904-913 - 2008
- [c2]Robert Schaefer, Barbara Barabasz:
Asymptotic Behavior of hp-HGS (hp-Adaptive Finite Element Method Coupled with the Hierarchic Genetic Strategy) by Solving Inverse Problems. ICCS (3) 2008: 682-691 - 2007
- [c1]Maciej Paszynski, Barbara Barabasz, Robert Schaefer:
Efficient Adaptive Strategy for Solving Inverse Problems. International Conference on Computational Science (1) 2007: 342-349
Coauthor Index
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