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ORCIDIEEE Transactions on Emerging Topics in Computational Intelligence, Volume 7
Volume 7, Number 1, February 2023
- Yu-Dong Zhang
, Juan Manuel Górriz, Yi Pan, Oscar Cordón:
Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis. 2-4 - Xujing Yao, Ziquan Zhu, Cheng Kang, Shui-Hua Wang, Juan Manuel Górriz, Yu-Dong Zhang:
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis. 5-14 - Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, Shuihua Wang, Zheng Zhang:
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis. 15-25 - Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang:
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. 26-35 - Honghao Gao, Biao Luo, Ramón J. Durán Barroso, Walayat Hussain:
Guest Editorial Special Issue on Computational Intelligence to Edge AI for Ubiquitous IoT Systems. 36-38 - Meng Yi, Peng Yang, Miaojiang Chen, Loc Nguyen The:
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems. 39-54 - Tingting Wang, Bingxian Lu, Wei Wang, Wei Wei, Xiaochen Yuan, Jianqing Li:
Reinforcement Learning-Based Optimization for Mobile Edge Computing Scheduling Game. 55-64 - Saber Abrazeh, Saeid-Reza Mohseni, Meisam Jahanshahi Zeitouni, Ahmad Parvaresh, Arman Fathollahi, Meysam Gheisarnejad, Mohammad Hassan Khooban:
Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. 65-75 - Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding:
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution. 76-88 - Dylan G. Peterson, Thoshara Nawarathne, Henry Leung:
Modulating STDP With Back-Propagated Error Signals to Train SNNs for Audio Classification. 89-101 - Meysam Gheisarnejad, Ghazal Mirzavand, Reza Rouhi Ardeshiri, Björn Andresen, Mohammad Hassan Khooban:
Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. 102-110 - Zhongshi Shao, Weishi Shao, Dechang Pi:
LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling. 111-127 - N. Sravya, Priyanka, Shyam Lal, J. Nalini, Chintala Sudhakar Reddy, Fabio Dell'Acqua:
DPPNet: An Efficient and Robust Deep Learning Network for Land Cover Segmentation From High-Resolution Satellite Images. 128-139 - Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. 140-149 - Adarsh Prasad Behera, Puja Rani, Shekhar Verma, Manish Kumar:
Curvature Regularized Similarity Based Ricci Flow Embedding. 150-163 - Sumit Diware, Abhairaj Singh, Anteneh Gebregiorgis, Rajiv V. Joshi, Said Hamdioui, Rajendra Bishnoi:
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks. 164-177 - Ziqiang Li, Pengfei Xia, Rentuo Tao, Hongjing Niu, Bin Li:
A New Perspective on Stabilizing GANs Training: Direct Adversarial Training. 178-189 - Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning. 190-199 - Sun Zhang, Chunyong Yin, Zhichao Yin:
Multimodal Sentiment Recognition With Multi-Task Learning. 200-209 - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. 210-221 - Guanghui Li, Jiahua Shen, Chenglong Dai, Jia Wu, Stefanie I. Becker:
ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value. 222-236 - Hsun-Ping Hsieh, Bao-Hong Lai, Yu-Wen Chen, Yu-En Chang:
Multi-Performance Estimation for Deploying Bank Branches Based on a Multi-Task Attentive Tree-Enhanced Model. 237-249 - Zichi Wang, Sheng Li, Xinpeng Zhang, Guorui Feng:
Exploring Abnormal Behavior in Swarm: Identify User Using Adversarial Examples. 250-260 - Fengping An, Jianrong Wang:
Pedestrian Re-Identification Algorithm Based on Multivariate Manifold Metric-Anti-Noise Manifold Space Learning. 261-270 - Huilin Zhang, Gang Chen, Xu Chen, Guoliang Gong, Huaxiang Lu:
Brain-Inspired Spiking Neural Network Using Superconducting Devices. 271-277 - Huaqing Li, Enbing Su, Chengbo Wang, Jiawei Liu, Zuqing Zheng, Zheng Wang, Dawen Xia:
A Primal-Dual Forward-Backward Splitting Algorithm for Distributed Convex Optimization. 278-284 - Xun Shen, Tinghui Ouyang, Yahui Zhang, Xingguo Zhang:
Computing Probabilistic Bounds on State Trajectories for Uncertain Systems. 285-290
Volume 7, Number 2, April 2023
- Mohammad Tanveer, Chin-Teng Lin, Chuan-Kang Ting, Javier Andreu-Perez:
Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging. 292-294 - Jing He, Lei Shen, Yudong Yao, Huaxia Wang, Guodong Zhao, Xiaowei Gu, Weiping Ding:
Finger Vein Image Deblurring Using Neighbors-Based Binary-GAN (NB-GAN). 295-307 - Hangfan Liu, Michel J. Grothe, Tanweer Rashid, Miguel A. Labrador-Espinosa, Jon B. Toledo, Mohamad Habes:
ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data. 308-318 - Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon:
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images. 319-329 - Zhe Li, Shuo Wang, He Yu, Yongbei Zhu, Qingxia Wu, Liusu Wang, Zhangjie Wu, Yuncui Gan, Weimin Li, Bensheng Qiu, Jie Tian:
A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. 330-341 - Yiming Tang, Zhifu Pan, Witold Pedrycz, Fuji Ren, Xiaocheng Song:
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules. 342-356 - Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma:
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism. 357-374 - Ashik Mostafa Alvi, Siuly Siuly, Hua Wang:
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals. 375-388 - Jia Chen, Renfang Wang, Di Wu, Xin Luo:
A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis. 389-401 - Runmin Cong, Weiyu Song, Jianjun Lei, Guanghui Yue, Yao Zhao, Sam Kwong:
PSNet: Parallel Symmetric Network for Video Salient Object Detection. 402-414 - Bo Lyu, Maher Hamdi, Yin Yang, Yuting Cao, Zheng Yan, Ke Li, Shiping Wen, Tingwen Huang:
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars. 415-425 - Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, Yen-Wei Chen:
Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors. 426-435 - Qi Zhu, Jing Yang, Shuihua Wang, Daoqiang Zhang, Zheng Zhang:
Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder. 436-446 - Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo:
Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. 447-461 - Renwei Tu, Gangyi Jiang, Mei Yu, Ting Luo, Zongju Peng, Fen Chen:
V-PCC Projection Based Blind Point Cloud Quality Assessment for Compression Distortion. 462-473 - Fei Ming, Wenyin Gong, Ling Wang, Liang Gao:
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization. 474-486 - Guanghui Yue, Siying Li, Tianwei Zhou, Miaohui Wang, Jingfeng Du, Qiuping Jiang, Wei Gao, Tianfu Wang, Jun Lv:
Adaptive Context Exploration Network for Polyp Segmentation in Colonoscopy Images. 487-499 - Hao Ying, Feng Lin:
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling. 500-512 - Jinran Wu, You-Gan Wang:
Iterative Learning in Support Vector Regression With Heterogeneous Variances. 513-522 - Nancy Mehta, Subrahmanyam Murala:
(MLE$^{2}$A$^{2}$U)-Net: Image Super-Resolution via Multi-Level Edge Embedding and Aggregated Attentive Upsampler Network. 523-536 - Deepanshi, Rahasya Barkur, Devishi Suresh, Shyam Lal, Chintala Sudhakar Reddy, P. G. Diwakar:
RSCDNet: A Robust Deep Learning Architecture for Change Detection From Bi-Temporal High Resolution Remote Sensing Images. 537-551 - Jianrui Chen, Tingting Zhu, Maoguo Gong, Zhihui Wang:
A Game-Based Evolutionary Clustering With Historical Information Aggregation for Personal Recommendation. 552-564 - Yangfan Zhou, Kaizhu Huang, Cheng Cheng, Xuguang Wang, Amir Hussain, Xin Liu:
Towards Faster Training Algorithms Exploiting Bandit Sampling From Convex to Strongly Convex Conditions. 565-577 - Yu-Wei Wen, Chuan-Kang Ting:
Recent Advances of Computational Intelligence Techniques for Composing Music. 578-597 - Wujie Zhou, Sijia Lv, Jingsheng Lei, Ting Luo, Lu Yu:
RFNet: Reverse Fusion Network With Attention Mechanism for RGB-D Indoor Scene Understanding. 598-603 - Mengke Li, Yiu-ming Cheung:
Identity-Preserved Complete Face Recovering Network for Partial Face Image. 604-609 - Haoyu Wang, Yuhu Cheng, C. L. Philip Chen, Xuesong Wang:
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification. 610-616
Volume 7, Number 3, June 2023
- Abdulrahman Takiddin, Rachad Atat, Muhammad Ismail, Osman Boyaci, Katherine R. Davis, Erchin Serpedin:
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids. 618-630 - Qian Jiang, Xin Jin, Xiaohui Cui, Shaowen Yao, Keqin Li, Wei Zhou:
A Lightweight Multimode Medical Image Fusion Method Using Similarity Measure Between Intuitionistic Fuzzy Sets Joint Laplacian Pyramid. 631-647 - Shunxiang Yang, Cheng Lian, Zhigang Zeng, Bingrong Xu, Junbin Zang, Zhidong Zhang:
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification. 648-660 - Reem E. Mohamed, Robert A. Hunjet, Saber M. Elsayed, Hussein A. Abbass:
Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding. 661-683 - Zi-Jia Wang, Zhi-Hui Zhan, Yun Li, Sam Kwong, Sang-Woon Jeon, Jun Zhang:
Fitness and Distance Based Local Search With Adaptive Differential Evolution for Multimodal Optimization Problems. 684-699 - Zhigang Liu, Yugen Yi, Xin Luo:
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector. 700-714 - Yuanchao Liu, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng:
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization. 715-730 - Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel:
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study. 731-741 - Hai Wang, Yansong Xu, Zining Wang, Yingfeng Cai, Long Chen, Yicheng Li:
CenterNet-Auto: A Multi-object Visual Detection Algorithm for Autonomous Driving Scenes Based on Improved CenterNet. 742-752 - Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan:
Communication Efficient Federated Learning With Heterogeneous Structured Client Models. 753-767 - Yupeng Wu, Cheng Lian, Zhigang Zeng, Bingrong Xu, Yixin Su:
An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification. 768-779 - Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang:
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. 780-790 - Rui He, Shengcai Liu, Shan He, Ke Tang:
Multi-Domain Active Learning: Literature Review and Comparative Study. 791-804 - Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation With Stair Network. 805-817 - Ahsan Adeel, Adewale Adetomi, Khubaib Ahmed, Amir Hussain, Tughrul Arslan, William A. Phillips:
Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets. 818-828 - Shangshang Yang, Haoyu Wei, Haiping Ma, Ye Tian, Xingyi Zhang, Yunbo Cao, Yaochu Jin:
Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm. 829-844 - Jie Du, Kai Guan, Yanhong Zhou, Yuanman Li, Tianfu Wang:
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation. 845-857 - Junlan Dong, Jinghui Zhong, Wei-Neng Chen, Jun Zhang:
An Efficient Federated Genetic Programming Framework for Symbolic Regression. 858-871 - Haotian Zhang, Jianyong Sun, Kay Chen Tan, Zongben Xu:
Learning Adaptive Differential Evolution by Natural Evolution Strategies. 872-886 - Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen:
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. 887-899 - Qian Wang, Jinde Cao, Heng Liu:
Event-Triggered Adaptive Fuzzy PI Control of Uncertain Fractional-Order Nonlinear Systems With Full-State Constraints. 900-911 - Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems. 912-930 - Gongqing Wu, Zhenya Lu, Xingrui Zhuo, Xianyu Bao, Xindong Wu:
Semantic Fusion Enhanced Event Detection via Multi-Graph Attention Network with Skip Connection. 931-941 - Kavum Muriyil Balachandran Shibu Kumar, Philip Samuel:
Centroid Based Celestial Clustering Algorithm: A Novel Unsupervised Learning Method for Haemogram Data Clustering. 942-956 - Mohammad Al-Quraan, Lina S. Mohjazi, Lina Bariah, Anthony Centeno, Ahmed Zoha, Kamran Arshad, Khaled Assaleh, Sami Muhaidat, Mérouane Debbah, Muhammad Ali Imran:
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges. 957-979
Volume 7, Number 4, August 2023
- Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi:
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. 981-982 - Zi-Xiao Pan, Ling Wang, Jingjing Wang, Jiawen Lu:
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling. 983-994 - Lijia Ma, Zengyang Shao, Xiaocong Li, Qiuzhen Lin, Jianqiang Li, Victor C. M. Leung, Asoke K. Nandi:
Influence Maximization in Complex Networks by Using Evolutionary Deep Reinforcement Learning. 995-1009 - Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng:
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. 1010-1024 - Shaochen Wang, Rui Yang, Bin Li, Zhen Kan:
Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution. 1025-1035 - Yu Du, Jun-qing Li, Xiao-long Chen, Peiyong Duan, Quan-Ke Pan:
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem. 1036-1050 - Ye Tian, Xiaopeng Li, Haiping Ma, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization. 1051-1064 - Mingshuo Nie, Dongming Chen, Dongqi Wang:
Reinforcement Learning on Graphs: A Survey. 1065-1082 - Ziyu Sheng, Shiping Wen, Zhong-kai Feng, Jiaqi Gong, Kaibo Shi, Zhenyuan Guo, Yin Yang, Tingwen Huang:
A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks. 1083-1097 - Kangjia Qiao, Jing Liang, Kunjie Yu, Minghui Wang, Boyang Qu, Caitong Yue, Yinan Guo:
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm. 1098-1112 - Guojin Zhong, Weiping Ding, Long Chen, Yingxu Wang, Yu-Feng Yu:
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement. 1113-1125 - Jie Yang, Chin-Teng Lin:
Multi-View Adjacency-Constrained Hierarchical Clustering. 1126-1138 - Mohsen Saffari, Mahdi Khodayar, Seyed Mohammad Jafar Jalali:
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification. 1139-1150 - Junchi Bin, Zhila Bahrami, Choudhury A. Rahman, Shan Du, Shane Rogers, Zheng Liu:
Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging. 1151-1162 - Mallika Dhingra, Mahesh Kumar Dubey, Jacob Kavikumar:
$L$-Fuzzy Multiset Recognizer: Determinization and Minimization. 1163-1176 - Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou:
Online Label Distribution Learning Using Random Vector Functional-Link Network. 1177-1190 - Rimjhim, Sourav Kumar Dandapat:
Tagging Multi-Label Categories to Points of Interest From Check-In Data. 1191-1204 - Sheng-An Huang, Jenq-Shiou Leu:
A Facile Approach To Represent Neural Network With Less Storage Space. 1205-1216 - Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. 1217-1227 - Wei Zhou, Yong Liu, Min Li, Yu Wang, Zhiqi Shen, Liang Feng, Zexuan Zhu:
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation. 1228-1241 - Chang Nie, Zhiyang Ju, Zhifeng Sun, Hui Zhang:
3D Object Detection and Tracking Based on Lidar-Camera Fusion and IMM-UKF Algorithm Towards Highway Driving. 1242-1252 - Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal:
A Community-Aware Framework for Social Influence Maximization. 1253-1262 - Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong:
Two-Dimensional Embedded Fuzzy Data Clustering. 1263-1275 - Yinghui Pan, Biyang Ma, Yifeng Zeng, Jing Tang, Buxin Zeng, Zhong Ming:
An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents. 1276-1289 - Jiaxi Li, Zhelong Wang, Hongyu Zhao, Sen Qiu, Ke Zhang, Xin Shi, Huan Qu, Guichun Jiang:
Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-Source Data. 1290-1300 - Yaozhong Zhang, Xiaoping Wang, Chao Yang, Zhigang Zeng:
Memristive Circuit Design of Quantized Convolutional Auto-Encoder. 1301-1313 - Fan Cheng, Changjun Zhou, Xudong Liu, Qijun Wang, Jianfeng Qiu, Lei Zhang:
Graph-Based Feature Selection in Classification: Structure and Node Dynamic Mechanisms. 1314-1328
Volume 7, Number 5, October 2023
- Longhui Shu, Shi Dong, Huadong Su, Junjie Huang:
Android Malware Detection Methods Based on Convolutional Neural Network: A Survey. 1330-1350 - Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. 1351-1361 - Ayman Elgharabawy, Mukesh Prasad, Chin-Teng Lin:
Preference Neural Network. 1362-1376 - Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang:
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. 1377-1393 - Poly Z. H. Sun, Tian-Yu Zuo, Rob Law, Edmond Qi Wu, Aiguo Song:
Neural Network Ensemble With Evolutionary Algorithm for Highly Imbalanced Classification. 1394-1404 - Shuchao Deng, Zeqiong Lv, Edgar Galván, Yanan Sun:
Evolutionary Neural Architecture Search for Facial Expression Recognition. 1405-1419 - Sibo Cheng, Yike Guo, Rossella Arcucci:
A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting. 1420-1430 - Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz:
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification. 1431-1441 - Haoxiang Qin, Yuyan Han, Qingda Chen, Ling Wang, Yuting Wang, Junqing Li, Yiping Liu:
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints. 1442-1457 - Ta Zhou, Guanjin Wang, Kup-Sze Choi, Shitong Wang:
Recognition of Sleep-Wake Stages by Deep Takagi-Sugeno-Kang Fuzzy Classifier with Random Rule Heritage. 1458-1469 - Lei Zhang, Huabin Zhang, Sibo Liu, Chao Wang, Hongke Zhao:
A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations. 1470-1483 - Yan Zhou, Yaochu Jin, Yao Sun, Jinliang Ding:
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines. 1484-1498 - Maicholl Gutierrez, Guillermo Cabrera-Guerrero, Carolina Lagos:
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem. 1499-1510 - Haotian Zhang, Jianyong Sun, Yuhao Wang, Jialong Shi, Zongben Xu:
Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. 1511-1526 - Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li:
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis. 1527-1538 - Ling Liu, Wenhao Yuan, Zhengping Liang, Xiaoliang Ma, Zexuan Zhu:
Construction of Polar Codes Based on Memetic Algorithm. 1539-1553 - Liping Gao, Chao Chen, Feng Chu, Chengwu Liao, Hongyu Huang, Yasha Wang:
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks. 1554-1570 - Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee:
Isolating Features of Object and Its State for Compositional Zero-Shot Learning. 1571-1583 - Reman Kumar, Ashish Kumar Bhandari:
Computationally Efficient Scaled Clustering for Perceptually Invisible Image Intensity Tuning. 1584-1594 - Kushal Bose, Swagatam Das:
Can Graph Neural Networks Go Deeper Without Over-Smoothing? Yes, With a Randomized Path Exploration! 1595-1604
Volume 7, Number 6, December 2023
- Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu:
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. 1605-1620 - Jianxiong Wan, Yanduo Duan, Xiang Gui, Chuyi Liu, Leixiao Li, Zhiqiang Ma:
SafeCool: Safe and Energy-Efficient Cooling Management in Data Centers With Model-Based Reinforcement Learning. 1621-1635 - Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. 1636-1650 - Lili Shen, Jie Yan, Xichun Sun, Beichen Li, Zhaoqing Pan:
Wavelet-Based Self-Attention GAN With Collaborative Feature Fusion for Image Inpainting. 1651-1664 - Jianjun Lei, Bingzheng Liu, Bo Peng, Xiaochun Cao, Qingming Huang, Nam Ling:
Deep Gradual-Conversion and Cycle Network for Single-View Synthesis. 1665-1675 - Simi Job, Xiaohui Tao, Yuefeng Li, Lin Li, Jianming Yong:
Topic Integrated Opinion-Based Drug Recommendation With Transformers. 1676-1686 - Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization. 1687-1701 - Qingguo Lü, Shaojiang Deng, Huaqing Li, Tingwen Huang:
Privacy Protection Decentralized Economic Dispatch Over Directed Networks With Accurate Convergence. 1702-1716 - Shu-Yu Kuo, Yu-Chi Jiang, Cheng-Yen Hua, Yao-Hsin Chou, Sy-Yen Kuo:
Evo-Panel: Dynamic Visualization Tool for Optimization Process. 1717-1732 - Zhipeng Lü, Yan Li, Zhouxing Su, Yaozhong Zhao, Junwen Ding:
An Effective Scoring-Based Metaheuristic Algorithm for Rectilinear Block Placement. 1733-1745 - Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation. 1746-1760
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