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Adam Byerly
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Journal Articles
- 2023
- [j7]Adam Byerly, Tatiana Kalganova:
Towards an Analytical Definition of Sufficient Data. SN Comput. Sci. 4(2): 144 (2023) - 2021
- [j6]Adam Byerly, Tatiana Kalganova:
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. IEEE Access 9: 48519-48530 (2021) - [j5]Adam Byerly, Tatiana Kalganova, Ian Dear:
No routing needed between capsules. Neurocomputing 463: 545-553 (2021) - 2016
- [j4]Adam Byerly, Alexander Uskov:
A New Method of Exploring a Range of Genetic Parameters During the Execution of a Genetic Algorithm. Int. J. Comput. Sci. Appl. 13(2): 16-28 (2016) - [j3]Alexander Uskov, Adam Byerly, Colleen Heinemann:
Advanced Encryption Standard Analysis with Multimedia Data on Intel® AES-NI Architecture. Int. J. Comput. Sci. Appl. 13(2): 89-105 (2016) - [j2]Adam Byerly, Alexander Uskov:
A novel approach to avoiding early stagnation in Ant Colony Optimization algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 20(2): 113-121 (2016) - [j1]Alexander Uskov, Nataliya Serdyukova, Vladimir I. Serdyukov, Colleen Heinemann, Adam Byerly:
Multi objective optimization of VPN design by linear programming with risks models. Int. J. Knowl. Based Intell. Eng. Syst. 20(3): 175-188 (2016)
Conference and Workshop Papers
- 2022
- [c7]Adam Byerly, Tatiana Kalganova, Richard Ott:
The Current State of the Art in Deep Learning for Image Classification: A Review. SAI (2) 2022: 88-105 - 2021
- [c6]Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik:
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of Micro-PCBs. KES-IDT 2021: 209-219 - 2020
- [c5]Chris Alvin, Adam Byerly:
Analysis of Region-Based Integral Calculus Problems. FLAIRS 2020: 461-465 - 2019
- [c4]Vladimir L. Uskov, Jeffrey P. Bakken, Adam Byerly, Ashok Shah:
Machine Learning-based Predictive Analytics of Student Academic Performance in STEM Education. EDUCON 2019: 1370-1376 - 2016
- [c3]Adam Byerly, Alexander Uskov:
A new parameter adaptation method for Genetic Algorithms and Ant Colony Optimization algorithms. EIT 2016: 668-673 - [c2]Colleen Heinemann, Sai Shankar Chaduvu, Adam Byerly, Alexander Uskov:
OpenCL and CUDA software implementations of encryption/decryption algorithms for IPsec VPNs. EIT 2016: 765-770 - [c1]Alexander V. Uskov, Natalia A. Serdyukova, Vladimir I. Serdyukov, Adam Byerly, Colleen Heinemann:
Optimal Design of IPsec-Based Mobile Virtual Private Networks for Secure Transfer of Multimedia Data. IIMSS 2016: 51-62
Informal and Other Publications
- 2024
- [i7]Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi:
Tur[k]ingBench: A Challenge Benchmark for Web Agents. CoRR abs/2403.11905 (2024) - [i6]Taiming Lu, Muhan Gao, Kuai Yu, Adam Byerly, Daniel Khashabi:
Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell. CoRR abs/2406.14673 (2024) - 2022
- [i5]Adam Byerly, Tatiana Kalganova:
Towards an Analytical Definition of Sufficient Data. CoRR abs/2202.03238 (2022) - [i4]Adam Byerly, Tatiana Kalganova:
Class Density and Dataset Quality in High-Dimensional, Unstructured Data. CoRR abs/2202.03856 (2022) - 2021
- [i3]Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik:
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs. CoRR abs/2101.11164 (2021) - 2020
- [i2]Adam Byerly, Tatiana Kalganova, Ian Dear:
A Branching and Merging Convolutional Network with Homogeneous Filter Capsules. CoRR abs/2001.09136 (2020) - 2019
- [i1]Adam Byerly, Tatiana Kalganova:
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks. CoRR abs/1906.08676 (2019)
Coauthor Index
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