Machine Intelligence Research

Published Online

Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).

Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution

Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu

DOI: 10.1007/s11633-024-1501-9

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Towards Jumping Skill Learning by Target-guided Policy Optimization for Quadruped Robots

Chi Zhang, Wei Zou, Ningbo Cheng, Shuomo Zhang

DOI: 10.1007/s11633-023-1429-5

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Impact of Autotuned Fully Connected Layers on Performance of Self-supervised Models for Image Classification

Jaydeep Kishore, Snehasis Mukherjee

DOI: 10.1007/s11633-023-1435-7

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Autonomy Evaluation of Unmanned Systems Based on Task Models

Yi Zou, Zehao Ni, Xun Lei, Chi Zhang

2024, 21(5): 815-830. DOI: 10.1007/s11633-023-1462-4

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A Survey of Synthetic Data Augmentation Methods in Machine Vision

Alhassan Mumuni, Fuseini Mumuni, Nana Kobina Gerrar

2024, 21(5): 831-869. DOI: 10.1007/s11633-022-1411-7

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Unified Classification and Rejection: A One-versus-all Framework

Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

2024, 21(5): 870-887. DOI: 10.1007/s11633-024-1514-4

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MOSS: An Open Conversational Large Language Model

Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu

2024, 21(5): 888-905. DOI: 10.1007/s11633-024-1502-8

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Tuning Synaptic Connections Instead of Weights by Genetic Algorithm in Spiking Policy Network

Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Qingyu Wang, Bo Xu

2024, 21(5): 906-918. DOI: 10.1007/s11633-023-1481-1

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A New Generation of Rules-based Approach: Mivar-based Intelligent Planning of Robot Actions (MIPRA) and Brains for Autonomous Robots

Oleg Varlamov, Dmitry Aladin

2024, 21(5): 919-940. DOI: 10.1007/s11633-023-1473-1

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One-shot Face Reenactment with Dense Correspondence Estimation

Yunfan Liu, Qi Li, Zhenan Sun