受强制性开放获取政策约束的文章 - Maxim Bakaev了解详情
无法在其他位置公开访问的文章：2 篇
Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network
E Rajalakshmi, R Elakkiya, AL Prikhodko, MG Grif, MA Bakaev, JR Saini, ...
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2022
强制性开放获取政策： Department of Science & Technology, India
Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces
M Bakaev, S Heil, L Chirkov, M Gaedke
International Conference on Human-Computer Interaction, 217-231, 2022
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：5 篇
Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture
E Rajalakshmi, R Elakkiya, V Subramaniyaswamy, LP Alexey, G Mikhail, ...
IEEE Access 11, 2226-2238, 2023
强制性开放获取政策： Department of Science & Technology, India
We Don’t Need No Real Users?! Surveying the Adoption of User-less Automation Tools by UI Design Practitioners
M Bakaev, M Speicher, J Jagow, S Heil, M Gaedke
Lecture Notes in Computer Science: Web Engineering 13362, 406-414, 2022
强制性开放获取政策： German Research Foundation
How Many Data Does Machine Learning in Human–Computer Interaction Need?: Re-Estimating the Dataset Size for Convolutional Neural Network-Based Models of Visual Perception
M Bakaev, S Heil, V Khvorostov, M Gaedke
IT Professional 25 (2), 23-29, 2023
强制性开放获取政策： German Research Foundation
A Reasonable Effectiveness of Features in Modeling Visual Perception of User Interfaces
M Bakaev, S Heil, M Gaedke
Big Data and Cognitive Computing 7 (1), 30, 2023
强制性开放获取政策： German Research Foundation
Web User Interface as a Message: Power Law for Fraud Detection in Crowdsourced Labeling.
S Heil, M Bakaev, M Gaedke
Lecture Notes in Computer Science 12706, 88-96, 2021
强制性开放获取政策： German Research Foundation
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