default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Emerging Topics in Computational Intelligence, Volume 4
Volume 4, February 2020
- Qilian Liang
, Gary G. Yen, Tariq S. Durrani, Wei Wang, Xin Wang:
Guest Editorial: Special Issue on Computational Intelligence for Communications and Sensing. 1-4 - Xin Liu, Min Jia:
Intelligent Spectrum Resource Allocation Based on Joint Optimization in Heterogeneous Cognitive Radio. 5-12 - Zhuo Sun, Song Kong, Wenbo Wang:
Sparse Learning of Higher-Order Statistics for Communications and Sensing. 13-22 - Shuang Liu, Xiaolong Hao:
Pedestrian Retrieval Using Generated Samples and Multistream Layer in Sensor Networks. 23-31 - Wei Wang, Min Zhang:
Tensor Deep Learning Model for Heterogeneous Data Fusion in Internet of Things. 32-41 - Xiu Zhang, Xin Zhang, Zhou Wu:
Utility- and Fairness-Based Spectrum Allocation of Cellular Networks by an Adaptive Particle Swarm Optimization Algorithm. 42-50 - Zhong Zhang, Meiyan Huang:
Person Re-Identification Based on Heterogeneous Part-Based Deep Network in Camera Networks. 51-60 - Mu Zhou, Yixin Lin, Nan Zhao, Qing Jiang, Xiaolong Yang, Zengshan Tian:
Indoor WLAN Intelligent Target Intrusion Sensing Using Ray-Aided Generative Adversarial Network. 61-73 - Jie Ren, Jing Liang, Yuanyuan Zhao:
Soil PH Measurement Based on Compressive Sensing and Deep Image Prior. 74-82 - Yanan Liu, Xianbin Wang, Gary Boudreau, Akram Bin Sediq, Hatem Abou-zeid:
Deep Learning Based Hotspot Prediction and Beam Management for Adaptive Virtual Small Cell in 5G Networks. 83-94
Volume 4, Number 2, April 2020
- Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong:
Random Walks: A Review of Algorithms and Applications. 95-107 - Maoguo Gong, Cheng Chen, Yu Xie, Shanfeng Wang:
Community Preserving Network Embedding Based on Memetic Algorithm. 108-118 - Xiao-Kang Liu, He Jiang, Yan-Wu Wang, Haibo He:
A Distributed Iterative Learning Framework for DC Microgrids: Current Sharing and Voltage Regulation. 119-129 - Animesh Chaturvedi, Aruna Tiwari:
System Network Complexity: Network Evolution Subgraphs of System State Series. 130-139 - Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini:
Complex-Valued Neural Networks With Nonparametric Activation Functions. 140-150 - Haonan Guo, Shenghong Li, Kaiyue Qi, Ying Guo, Zhengwu Xu:
Learning Automata Based Competition Scheme to Train Deep Neural Networks. 151-158 - Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera:
HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain-Computer Interface. 159-170 - Stephen D. Liang:
Optimization for Deep Convolutional Neural Networks: How Slim Can It Go? 171-179 - Venkatanareshbabu Kuppili, Mainak Biswas, Damodar Reddy Edla, K. J. Ravi Prasad, Jasjit S. Suri:
A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm. 180-200
Volume 4, Number 3, June 2020
- Celimuge Wu, Yaochu Jin, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir:
Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT. 202-205 - Caijuan Chen, Kaoru Ota, Mianxiong Dong, Chen Yu, Hai Jin:
WITM: Intelligent Traffic Monitoring Using Fine-Grained Wireless Signal. 206-215 - Yu Gu, Yantong Wang, Tao Liu, Yusheng Ji, Zhi Liu, Peng Li, Xiaoyan Wang, Xin An, Fuji Ren:
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data. 216-226 - Zhenyu Zhou, Haijun Liao, Bo Gu, Shahid Mumtaz, Jonathan Rodriguez:
Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach. 227-240 - Qichao Xu, Zhou Su, Kuan Zhang, Peng Li:
Intelligent Cache Pollution Attacks Detection for Edge Computing Enabled Mobile Social Networks. 241-252 - Kian Hamedani, Lingjia Liu, Shiyan Hu, Jonathan D. Ashdown, Jinsong Wu, Yang Yi:
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach. 253-264 - Yan Huang, Xin Guan, Hongyang Chen, Yi Liang, Shanshan Yuan, Tomoaki Ohtsuki:
Risk Assessment of Private Information Inference for Motion Sensor Embedded IoT Devices. 265-275 - FeiYi Xie, Hong Wen, Jinsong Wu, Wenjing Hou, Huanhuan Song, Tengyue Zhang, Runfa Liao, Yixin Jiang:
Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration. 276-286 - Yangyang Li, Guangyuan Liu, Gao Lu, Licheng Jiao, Naresh Marturi, Ronghua Shang:
Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms. 287-297 - Chao Jiang, Zhen Ni, Yi Guo, Haibo He:
Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction. 298-311 - Wenbo Du, Wen Ying, Peng Yang, Xianbin Cao, Gang Yan, Ke Tang, Dapeng Oliver Wu:
Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage. 312-323 - Pei-Qiu Huang, Yong Wang, Kezhi Wang, Kun Yang:
Differential Evolution With a Variable Population Size for Deployment Optimization in a UAV-Assisted IoT Data Collection System. 324-335 - Seyed Mohammad Nekooei, Gang Chen:
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks. 336-350 - Vesna Sesum-Cavic, Eva Kühn, Lukas Fleischhacker:
Efficient Search and Lookup in Unstructured P2P Overlay Networks Inspired by Swarm Intelligence. 351-368 - Yongliang Chen, Jinghui Zhong, Liang Feng, Jun Zhang:
An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization. 369-384 - Junwen Ding, Liji Shen, Zhipeng Lü, Liping Xu, Una Benlic:
A Hybrid Memetic Algorithm for the Parallel Machine Scheduling Problem With Job Deteriorating Effects. 385-397 - Jiahai Wang, Binzhong Cen, Shangce Gao, Zizhen Zhang, Yuren Zhou:
Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization. 398-412
Volume 4, Number 4, August 2020
- Zixing Zhang, Dimitris N. Metaxas, Hung-yi Lee, Björn W. Schuller:
Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence. 414-416 - Chenggang Mi, Lei Xie, Yanning Zhang:
Improving Adversarial Neural Machine Translation for Morphologically Rich Language. 417-426 - Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti:
Hardening Random Forest Cyber Detectors Against Adversarial Attacks. 427-439 - Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Static2Dynamic: Video Inference From a Deep Glimpse. 440-449 - Koosha Sadeghi, Ayan Banerjee, Sandeep K. S. Gupta:
A System-Driven Taxonomy of Attacks and Defenses in Adversarial Machine Learning. 450-467 - Wen-Chin Huang, Hao Luo, Hsin-Te Hwang, Chen-Chou Lo, Yu-Huai Peng, Yu Tsao, Hsin-Min Wang:
Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in Variational Autoencoder Based Voice Conversion. 468-479 - Yufeng Xiao, Huan Zhao, Tingting Li:
Learning Class-Aligned and Generalized Domain-Invariant Representations for Speech Emotion Recognition. 480-489 - Akshay Chaturvedi, Utpal Garain:
Attacking VQA Systems via Adversarial Background Noise. 490-499 - Zhaoqing Pan, Weijie Yu, Bosi Wang, Haoran Xie, Victor S. Sheng, Jianjun Lei, Sam Kwong:
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges. 500-522 - Nathan K. Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein A. Abbass:
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach. 523-537 - Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang:
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective. 538-554 - Batchu Rajasekhar, Wayes Tushar, Clement Lork, Yuren Zhou, Chau Yuen, Naran M. Pindoriya, Kristin L. Wood:
A Survey of Computational Intelligence Techniques for Air-Conditioners Energy Management. 555-570 - Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network. 571-588
Volume 4, Number 5, October 2020
- Yuan Yuan, Xuyun Zhang, Jie Tang:
Guest Editorial Special Issue on Privacy and Security in Computational Intelligence. 590-592 - Zhili Zhou, Q. M. Jonathan Wu, Shaohua Wan, Wendi Sun, Xingming Sun:
Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection. 593-604 - Xiaolong Xu, Shucun Fu, Weimin Li, Fei Dai, Honghao Gao, Victor Chang:
Multi-Objective Data Placement for Workflow Management in Cloud Infrastructure Using NSGA-II. 605-615 - Ruili Wang, Wanting Ji:
Computational Intelligence for Information Security: A Survey. 616-629 - Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo:
An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems. 630-640 - Shih-Chao Cha, Hao Wang, Zhiyuan Tan, Yuh-Jzer Joung, Yen-Chung Tseng, Kuo-Hui Yeh:
On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining. 641-652 - Gaolei Li, Mianxiong Dong, Laurence T. Yang, Kaoru Ota, Jun Wu, Jianhua Li:
Preserving Edge Knowledge Sharing Among IoT Services: A Blockchain-Based Approach. 653-665 - Shanshan Zhao, Shancang Li, Lianyong Qi, Li Da Xu:
Computational Intelligence Enabled Cybersecurity for the Internet of Things. 666-674 - Guanfeng Liu, Yurong Wang, Bolong Zheng, Zhixu Li, Kai Zheng:
Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints. 675-685 - Romi Banerjee, Sankar K. Pal:
Z*-Numbers, Data Structures, and Thinking in Machine-Mind Architecture. 686-695 - Tao Song, Pan Zheng, M. L. Dennis Wong, Min Jiang, Xiangxiang Zeng:
On the Computational Power of Asynchronous Axon Membrane Systems. 696-704 - Lien-Wu Chen, Yung-En Li, Jun-Xian Liu, Hsi-Min Chen, Ming-Fong Tsai:
Intelligent Item Searching With Gesture-Based Interfaces Through Mobile Cloud Computing. 705-716 - Ning Shan, Daniel Stanley Tan, Melkamu S. Denekew, Yung-Yao Chen, Wen-Huang Cheng, Kai-Lung Hua:
Photobomb Defusal Expert: Automatically Remove Distracting People From Photos. 717-727 - Manu Goyal, Neil D. Reeves, Adrian K. Davison, Satyan Rajbhandari, Jennifer Spragg, Moi Hoon Yap:
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification. 728-739
Volume 4, Number 6, December 2020
- Muhammad Asim, Yong Wang, Kezhi Wang, Pei-Qiu Huang:
A Review on Computational Intelligence Techniques in Cloud and Edge Computing. 742-763 - Zhihao Liu, Zhigang Zeng, Cheng Lian:
Multidomain Features Fusion for Zero-Shot Learning. 764-773 - Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. 774-785 - Masoumeh Heidari Kapourchali, Bonny Banerjee:
State Estimation via Communication for Monitoring. 786-793 - Indranil Pan, Dirk Bester:
Marginal Likelihood Based Model Comparison in Fuzzy Bayesian Learning. 794-799
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-06-20 00:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
