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Neural Computing and Applications

Ausgabe 32/2023

Special Issue on Human-in-the-loop Machine Learning and its Applications (pp. 23283-23490)/Regular Papers (23491/23665)

Inhalt (25 Artikel)

Open Access Special issue on Human-in-the-loop Machine Learning and its Applications

Composite dynamic movement primitives based on neural networks for human–robot skill transfer

Weiyong Si, Ning Wang, Chenguang Yang

Special issue on Human-in-the-loop Machine Learning and its Applications

Fine-tuned support vector regression model for stock predictions

Ranjan Kumar Dash, Tu N. Nguyen, Korhan Cengiz, Aditi Sharma

Special issue on Human-in-the-loop Machine Learning and its Applications

Deep learning-based facial emotion recognition for human–computer interaction applications

M. Kalpana Chowdary, Tu N. Nguyen, D. Jude Hemanth

Open Access Special issue on Human-in-the-loop Machine Learning and its Applications

Iterative learning-based path control for robot-assisted upper-limb rehabilitation

Kamran Maqsood, Jing Luo, Chenguang Yang, Qingyuan Ren, Yanan Li

Special issue on Human-in-the-loop Machine Learning and its Applications

A deep learning framework for realistic robot motion generation

Ran Dong, Qiong Chang, Soichiro Ikuno

Open Access Special issue on Human-in-the-loop Machine Learning and its Applications

Towards human distance estimation using a thermal sensor array

Abdallah Naser, Ahmad Lotfi, Joni Zhong

S.I.: Human-in-the-loop Machine Learning and its Applications

Joint regularization and low-rank fusion for atmospheric turbulence removal

Yanyun Qu, Wenjin Yang, Yuan Xie, Weiwei Wu, Yang Wu, Hanzi Wang

S.I.: Human-in-the-loop Machine Learning and its Applications

Active learning with sampling by joint global-local uncertainty for salient object detection

Longfei Li, Haidong Fu, Xin Xu

S.I.: Human-in-the-loop Machine Learning and its Applications

Selective eye-gaze augmentation to enhance imitation learning in Atari games

Chaitanya Thammineni, Hemanth Manjunatha, Ehsan T. Esfahani

S.I.: Human-in-the-loop Machine Learning and its Applications

Persistent rule-based interactive reinforcement learning

Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale

S.I.: Human-in-the-loop Machine Learning and its Applications

Improving reinforcement learning with human assistance: an argument for human subject studies with HIPPO Gym

Matthew E. Taylor, Nicholas Nissen, Yuan Wang, Neda Navidi

S.I. : Human-in-the-loop Machine Learning and its Applications

Human–robot skill transmission for mobile robot via learning by demonstration

Jiehao Li, Junzheng Wang, Shoukun Wang, Chenguang Yang

Open Access S.I.: Human-in-the-loop Machine Learning and its Applications

Enhancing learning capabilities of movement primitives under distributed probabilistic framework for flexible assembly tasks

Likun Wang, Shuya Jia, Guoyan Wang, Alison Turner, Svetan Ratchev

Special issue on Human-in-the-loop Machine Learning and its Applications

Grid cell modeling with mapping representation of self-motion for path integration

Jiru Wang, Rui Yan, Huajin Tang

S.I: Human-in-the-loop Machine Learning

An ATC instruction processing-based trajectory prediction algorithm designing

Xuan Wang, Yi Mao, Xiaoyong Wu, Qucheng Xu, Weiyu Jiang, Suwan Yin

Original Article

FATE: a three-stage method for arithmetical exercise correction

Qipeng Zhu, Zhuoyan Luo, Shipeng Zhu, Qi Jing, Zihang Xu, Hui Xue

Original Article

A graph encoder–decoder network for unsupervised anomaly detection

Mahsa Mesgaran, A. Ben Hamza

Original Article

Lightweight micro-motion gesture recognition based on MIMO millimeter wave radar using Bidirectional-GRU network

Yaqin Zhao, Yuqing Song, Longwen Wu, Puqiu Liu, Ruchen Lv, Hikmat Ullah

Open Access Original Article

IoT-based intelligent waste management system

Mohammed M. Ahmed, Ehab Hassanien, Aboul Ella Hassanien

Original Article

SPDGAN: a generative adversarial network based on SPD manifold learning for automatic image colorization

Youssef Mourchid, Marc Donias, Yannick Berthoumieu, Mohamed Najim

Original Article

Generalized gradient emphasis learning for off-policy evaluation and control with function approximation

Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong