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ORCID29th ICONIP 2022: Virtual Event - Part V
- Mohammad Tanveer, Sonali Agarwal
, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V. Communications in Computer and Information Science 1792, Springer 2023, ISBN 978-981-99-1641-2
Theory and Algorithm II
- Pingping Song, Yuhan Dong, Kai Zhang:
GCD-PKAug: A Gradient Consistency Discriminator-Based Augmentation Method for Pharmacokinetics Time Courses. 3-14 - Jiaming Tan, Xiaoyong Li, Junxing Zhu, Xiang Wang, Xiaoli Ren, Juan Zhao:
ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-attention Network. 15-27 - Sajad Fathi Hafshejani, Daya Ram Gaur, Shahadat Hossain, Robert Benkoczi:
Binary Orthogonal Non-negative Matrix Factorization. 28-38 - Fangyuan Wang, Bo Xu:
Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR. 39-50 - Teeradaj Racharak:
Interpretable Decision Tree Ensemble Learning with Abstract Argumentation for Binary Classification. 51-63 - Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu:
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. 64-73 - Jinhui Lin, Heng Wang, Yan Liu, Song-Lu Chen, Ruiyao Zhang, Zhiwei Dong, Feng Chen, Xu-Cheng Yin:
Adaptive Rounding Compensation for Post-training Quantization. 74-85 - Zhefeng Zhu, Ke Qi, Yicong Zhou, Wenbin Chen, Jingdong Zhang:
More Efficient and Locally Enhanced Transformer. 86-97 - Ningning Jia:
ASLEEP: A Shallow neural modEl for knowlEdge graph comPletion. 98-109 - Ruhan He, Yajun Tian, Yongsheng Yu, Zhenghao Chang, Mingfu Xiong:
A Speech Enhancement Method Combining Two-Branch Communication and Spectral Subtraction. 110-122 - Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh:
A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. 123-135 - Divyansh Rai, Arpit Agarwal, Bagesh Kumar, O. P. Vyas, Suhaib Khan, S. Shourya:
Generating Textual Description Using Modified Beam Search. 136-147 - Ionel Hosu, Traian Rebedea, Stefan Trausan-Matu:
Disentangling Exploration and Exploitation in Deep Reinforcement Learning Using Contingency Awareness. 148-157 - Ruiguo Yu, Chao Sun, Xuewei Li, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu:
Multi-Grained Fusion Graph Neural Networks for Sequential Recommendation. 158-169 - Victor Parque, Tomoyuki Miyashita:
Optimal Design of Cable-Driven Parallel Robots by Particle Schemes. 170-181 - Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger:
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. 182-194 - Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten:
Active Learning with Weak Supervision for Gaussian Processes. 195-204 - Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh:
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. 205-215
Cognitive Neurosciences
- Yunjing Liu, Li Zhang, Xiaoxiao Wang, Ming Jing:
RTS: A Regional Time Series Framework for Brain Disease Classification. 219-230 - Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Xia Wu, Daoqiang Zhang:
Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition. 231-242 - Wen Qian, Yuxin Ding, Weiyi Li:
Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition. 243-254 - Tianyi Zhao, Gaoyan Zhang:
Detecting Major Depressive Disorder by Graph Neural Network Exploiting Resting-State Functional MRI. 255-266 - Kai Yang, Zhuo Zhang, Gaoyan Zhang, Masashi Unoki, Jianwu Dang, Longbiao Wang:
An Improved Stimulus Reconstruction Method for EEG-Based Short-Time Auditory Attention Detection. 267-277 - Yanmei Zhu, Sheng Ye, Qian Wang, Li Zhang:
Functional Connectivity of the Brain While Solving Scientific Problems with Uncertainty as Revealed by Phase Synchronization Based on Hilbert Transform. 278-289 - Li-Dan Kuang, Wenjun Li, Yan Gui:
Optimizing pcsCPD with Alternating Rank-R and Rank-1 Least Squares: Application to Complex-Valued Multi-subject fMRI Data. 290-302 - Rahul Kumar, Sriparna Saha:
Decoding Brain Signals with Meta-learning. 303-314
Human Centered Computing
- Zhizhuo Yang, Zhiyu Cai, Hu Zhang, Ru Li:
Research on Answer Generation for Chinese Gaokao Reading Comprehension. 317-329 - Yang Zhou, Chenjiao Zhi, Kai Zheng:
Using Transformer Towards Cross-Hops Question Answering. 330-337 - Dingyao Chen, Long Lan, Mengzhu Wang, Xiang Zhang, Tianyi Liang, Zhigang Luo:
Logit Distillation via Student Diversity. 338-349 - Li Zhang, Jing Wang, Yanmei Zhu:
Causal Connectivity Transition from Action Observation to Mentalizing Network for Understanding Other's Action Intention. 350-360 - Xinyan Li, Dongxu Li, Zhihao Yang, Hui Zhao, Wei Cai, Xi Lin:
ND-NER: A Named Entity Recognition Dataset for OSINT Towards the National Defense Domain. 361-372 - Raj Jha, V. Susheela Devi:
Extractive Question Answering Using Transformer-Based LM. 373-384 - Manisha Chawla, Krishna P. Miyapuram:
Temporal Dynamics of Value Integration in Perceptual Decisions: An EEG Study. 385-394 - Rui Li, Yiting Wang, Bao-Liang Lu:
Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network. 395-406 - Mei Yu, Xiaodong Hong, Xuewei Li, Mankun Zhao, Tianyi Xu, Hongwei Liu, Jian Yu:
BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-behavior Recommendation. 407-418 - Tao Sun, Dongsu Shen, Saiqin Long, Qingyong Deng, Shiguo Wang:
Neural Distinguishers on tt TinyJAMBU-128 and tt GIFT-64. 419-431 - Liang Xie, Menghao Hu, Xinbei Bai, Wenke Huang:
Towards Hardware-Friendly and Robust Facial Landmark Detection Method. 432-444 - Tian-Fang Ma, Wei-Long Zheng, Bao-Liang Lu:
Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. 445-455 - Wenbin Zhang, Aiguo Song, Jianwei Lai:
Motor Imagery BCI-Based Online Control Soft Glove Rehabilitation System with Vibrotactile Stimulation. 456-466 - Xingang Wang, Xiaoyu Liu, Xiaomin Li, Jinan Cui, Honglu Cheng:
Multi-level Visual Feature Enhancement Method for Visual Question Answering. 467-479 - Mengxuan Shao, Feng Jiang, Shaohui Liu, Kun Han, Debin Zhao:
Learning from Hindsight Demonstrations. 480-491 - Mengxuan Shao, Feng Jiang, Shaohui Liu, Kun Han, Debin Zhao:
Hindsight Balanced Reward Shaping. 492-503 - Andrzej Miskow, Abdulrahman Altahhan:
Emotion Recognition with Facial Attention and Objective Activation Functions. 504-515 - Yehan Xu, Jingyu Luo, Junyi Liang, Shaogang Song, Ming Ma, Ziheng Guo, Likun Xia:
$\mathrm {M^{3}S \text{- }CNN}$: Resting-State EEG Based Multimodal and Multiscale Feature Extraction for Student Behavior Prediction in Class. 516-527 - Zhilei Zhu, Wanli Dong, Xiaoming Gao, Anjie Peng, Yuqin Luo:
Towards Human Keypoint Detection in Infrared Images. 528-539 - Aadhar Gupta, Shashank Uttrani, Gunjan Paul, Bhavik Kanekar, Varun Dutt:
Multi-human Intelligence in Instance-Based Learning. 540-549 - Megha Sharma, Mayank Kumar, Cleotilde Gonzalez, Varun Dutt:
How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-Making? 550-560 - Ruxin Zhang, Xiaoye Wang:
A Simple Memory Module on Reading Comprehension. 561-571 - Mahsa Mohaghegh, Nasca Peng:
Predicting Parkinson's Disease Severity Using Patient-Reported Outcomes and Genetic Information. 572-583 - Francesco Bonacini, Mufti Mahmud, David J. Brown:
Towards the Development of a Machine Learning-Based Action Recognition Model to Support Positive Behavioural Outcomes in Students with Autism. 584-596 - Sihem Omri, Manel Abdelkader, Mohamed Hamdi, Tai-Hoon Kim:
Safety Issues Investigation in Deep Learning Based Chatbots Answers to Medical Advice Requests. 597-605
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