Articles

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions

• Vanessa D'Amario
• Sanjana Srivastava
• Tomotake Sasaki
• Xavier Boix

Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k-mer Feature Extraction

in T Cell Biology

• Yotaro Katayama
• Tetsuya J. Kobayashi

Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning

in AI in Food, Agriculture and Water

• Huanle Zhang
• Nicharee Wisuthiphaet
• Hemiao Cui
• Nitin Nitin
• Xin Liu
• Qing Zhao

Self-supervised learning enhances accuracy and data efficiency in lower-limb joint moment estimation from gait kinematics

in Biomechanics

• Yifan Li
• Jiayu He
• Bernard Liew
• David S. Hollinger
• Qichang Mei 
• Behnam Gholami
• Maria Fasli
• Klaus McDonald-Maier 
• Xiaojun Zhai

Hybrid knowledge transfer for MARL based on action advising and experience sharing

• Feng Liu
• Dongqi Li
• Jian Gao

Quantum-inspired deep reinforcement learning for adaptive frequency control of low carbon park island microgrid considering renewable energy sources

in Process and Energy Systems Engineering

• Xin Shen
• Jianlin Tang
• Feng Pan
• Bin Qian
• Yitao Zhao

Dynamic-budget superpixel active learning for semantic segmentation

in AI in Food, Agriculture and Water

• Yuemin Wang
• Ian Stavness

Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective

in Computational Physiology and Medicine

• Patrick Thiam
• Heinke Hihn
• Daniel A. Braun
• Hans A. Kestler
• Friedhelm Schwenker

Self-supervised maize kernel classification and segmentation for embryo identification

in Technical Advances in Plant Science

• David Dong
• Koushik Nagasubramanian
• Ruidong Wang
• Ursula K. Frei
• Talukder Z. Jubery
• Thomas Lübberstedt
• Baskar Ganapathysubramanian