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ORCIDSSCI 2019: Xiamen, China
- IEEE Symposium Series on Computational Intelligence, SSCI 2019, Xiamen, China, December 6-9, 2019. IEEE 2019, ISBN 978-1-7281-2485-8
Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)
- Zejian Zhou
, Hao Xu:
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. 1-8 - Xuhui Qiao, Ziqiang Xu, Yanhong Luo, Yifan Sun, Yuxuan Liu:
Induction Radius-Based Hierarchical Flocking Algorithm for UAVs Clustering. 1-7 - Zejian Zhou, Hao Xu:
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. 9-15 - Dong Li, Dongbin Zhao, Qichao Zhang:
Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. 16-21 - Huimu Wang, Zhiqiang Pu, Jianqiang Yi, Tenghai Qiu, Zhen Liu, Zhaoyang Liu:
Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. 22-30 - Tianjiao An, Xiaodong Men, Xinyao Zhang, Yuanchun Li, Bo Dong:
Adaptive Dynamic Programming-based Decentralized Sliding Mode Optimal Control for Modular and Reconfigurable Robots. 31-36 - Zehua Liao, Qinglai Wei, Ruizhuo Song:
Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems. 37-42 - Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Simplified Space Based Neural Architecture Search. 43-49 - Xu Cao, Yanghao Lin:
UCT-ADP Progressive Bias Algorithm for Solving Gomoku. 50-56 - Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. 57-63 - Kesireddy Kesireddy, Wanliang Shan, Hao Xu:
Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III. 64-71 - Yao Zhang, Chaoxu Mu, Qian Zhao, Ke Wang:
Nearly Optimal Consensus Control of Discrete Time Multiagent Systems with Time Delays. 72-77 - Venkata Sai Santosh Ravi Teja Kancharla, Minwoo Lee:
Efficient Practice for Deep Reinforcement Learning. 77-84 - Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan:
Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. 86-93 - Giang Dao, Minwoo Lee:
Relevant Experiences in Replay Buffer. 94-101 - Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass:
Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task. 102-109 - Xudong Sun, Bernd Bischl:
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning. 110-119 - Giovanny Marquez, Bethany Johnson, Mohammad Jafari, Marcella Gomez:
Online Machine Learning Based Predictor for Biological Systems. 120-125 - Ming Chen, Yuning Chen, Yingwu Chen, Weihua Qi:
Deep Reinforcement Learning for Agile Satellite Scheduling Problem. 126-132 - Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Filter based Explorized Policy Iteration Algorithm for On-Policy Approximate LQR. 133-140 - Li Song, Dazi Li, Zhi Sun:
Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm. 141-148 - Leo Ghignone, Michael Barlow:
Shallow Network Training With Dynamic Sample Weights Decay - a Potential Function Approximator for Reinforcement Learning. 149-154 - Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Alternative Loss Functions in AlphaZero-like Self-play. 155-162 - Mohammad Jafari, Marcella Gomez:
Online Machine Learning Based Controller for Coupled Tanks Systems. 163-169 - Qiang Ren, Fei Luo, Weichao Ding, Haifeng Lu:
An Improved NSGAII Algorithm Based on Site-Directed Mutagenesis Method for Multi-Objective Optimization. 176-181 - Howard Schwartz:
An Object Oriented Approach to Fuzzy Actor-Critic Learning for Multi-Agent Differential Games. 183-190 - Tao Huang, Yue Liang, Xiaojun Ban, Jian Zhang, Xianlin Huang:
The Control of Magnetic Levitation System Based on Improved Q-network. 191-197 - Josiah Laivins, Minwoo Lee:
Automatic Composite Action Discovery for Hierarchical Reinforcement Learning. 198-205
Artificial Intelligence Forensic Science and Technology Crime Investigation (AIFSTCI)
- Cheng-Lung Lee, Yuan Fang, Yi-Hsin Huang, Szu-Hao Lee, William Chen-Chung Yeh:
Application of Wearable Devices in Crime Scene Investigation and Virtual Reality. 206-210 - Adriano C. A. da Cruz, Felipe A. Schwab, Ozana M. A. Maia, Rubens A. de Faria, Gustavo B. Borba, Valfredo Pilla:
Characterization of Entomological Micro Traces Images with Deep Neural Networks. 211-218 - Haw-Lih Su, Jeff Cheng-Lung Lee, Mohammad Ibrahim Ahmad Ibrahim, Mohammed Hussain S. A. Alsafran, Saeed Al-Meer:
Database Facilitated Screening with NMR Spectroscopy Analysis for Drug Detection. 219-224
Artificial Life (ALIFE)
- Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto:
Analysis of Time Series Generated By Long Short-Term Memory Trained with Adversarial Imitation Learning. 225-229 - Hugo Cisneros, Josef Sivic, Tomás Mikolov:
Evolving Structures in Complex Systems. 230-237 - Leo Cazenille, Nicolas Bredèche, Nathanaël Aubert-Kato:
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. 238-246 - Kristine Heiney, Ola Huse Ramstad, Ioanna Sandvig, Axel Sandvig, Stefano Nichele:
Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches. 247-254 - Yuma Kajihara, Takashi Ikegami, Kenji Doya:
Model-based Empowerment Computation for Dynamical Agents. 255-261 - Claudia Szabo, Joshua Groot, Thomas McAtee, Christo Pyromallis:
Who Did This: Identifying Causes of Emergent Behavior in Complex Systems. 262-270 - Atsushi Masumori, Takashi Ikegami, Lana Sinapayen:
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks. 271-277 - Hyobin Kim, Farnaz Zamani Esfahlani, Samuel Heiserman, Nasim Nezamoddini, Hiroki Sayama:
Instability of Multilayer Networks Induced by Inter-Layer Coupling. 278-283 - Christo Pyromallis, Claudia Szabo:
Modelling and Analysis of Adaptability and Emergent Behavior in a Cryptocurrency Market. 284-292 - Xinxing Duan, Sujia Yin:
Modeling the Population Growth of the Co-cultured Blood Cells Exposed by Microbubble-mediated Ultrasound. 293-298 - Norihiro Maruyama, Daichi Saito, Takashi Ikegami:
Emergence of Superorganisms in a Large Scale Boids Model. 299-305 - Sina Khajehabdollahi, Georg Martius, Anna Levina:
Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. 306-313
Computational Intelligence Applications in Smart Grid (CIASG)
- Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer:
Automated Machine Learning for Short-term Electric Load Forecasting. 314-321 - Matthew Haslett Leak, Ganesh Kumar Venayagamoorthy, Paranietharan Arunagirinathan:
Optimal Power Flow in Distribution Scheme Using Load Forecast. 322-326 - Xueqing Ni, Dongsheng Yang, Yongheng Pang:
Weak Fault Diagnosis Method Based on SEGAN and KL Divergence for Industrial Equipment. 327-331 - He Jiang, Zhenhua Wang, Haibo He:
An Evolutionary Computation Approach for Smart Grid Cascading Failure Vulnerability Analysis. 332-338 - Komla A. Folly:
A Short Survey on Population-Based Incremental Learning Algorithm. 339-344 - Ndabeni M. Stenane, Komla A. Folly:
PBILApplied to Optimal Directional Overcurrent Relay Coordination: Effect of Learning Rate. 345-351
Computational Intelligence for Astroinformatics (CIAstro)
- Yoshio Taniguchi, Yoshihiko Kubota, Setsuo Tsuruta, Yoshiyuki Mizuno, Takayuki Muranushi, Yuko Hada Muranushi, Yoshitaka Sakurai, Rainer Knauf, Andrea Kutics:
Maintaining Diversity in an SVM integrated Case Based GA for Solar Flare Prediction. 353-360
Computational Intelligence for Brain Computer Interfaces (CIBCI)
- Xue Jiang, Xiao Zhang, Dongrui Wu:
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces. 361-368 - Yifan Xu, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Self-Paced Learning with Label Diversity. 369-375 - Junjie Shen, Xiao Li, Hong Zeng, Aiguo Song:
Single-trial Classification of Fixation-related Potentials in Guided Visual Search Tasks using A Riemannian Network. 375-379 - Huifang Yao, Hong He, Shilong Wang, Zhangping Xie:
EEG-based Emotion Recognition Using Multi-scale Window Deep Forest. 381-386 - Ziyuan Zhou, Yuanpeng Zhang, Yizhang Jiang:
Deep View-Reduction TSK Fuzzy System: A Case Study on Epileptic EEG Signals Detection. 387-392 - Nima Salimi, Michael Barlow, Erandi Lakshika:
Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels. 393-398 - Minghui Shi, Jianting Liu, Jingkang Lin, Zilong Li, Chang Liu, Tingting Chen, Min Jiang, Fei Chao, Meihong Wu, Enze Wang, Yuan Shi, Tongrui Li:
A Method for SSVEP Recognition Based on Weighted Canonical Correlation Analysis. 399-403 - Jianhua Zhang, Peng Chen, Stefano Nichele, Anis Yazidi:
Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*. 404-409 - Jianhua Zhang, Jianrong Li, Stefano Nichele:
Instantaneous Mental Workload Classification Using Semi-Supervised Learning*. 410-416
Computational Intelligence in Big Data (CIBD)
- Robert Jungnickel, André Pomp, Andreas Kirmse, Xiang Li, Vladimir Samsonov, Tobias Meisen:
Evaluation and Comparison of Cross-lingual Text Processing Pipelines. 417-425
Computational Intelligence in Biometrics and Identity Management (CIBIM)
- Zuolin Shen, Yuanrong Xu, Guangming Lu:
CNN-based High-Resolution Fingerprint Image Enhancement for Pore Detection and Matching. 426-432 - Yujie Liu, Shuai Mao, Xiang Mei, Tao Yang, Xuran Zhao:
Sensitivity of Adversarial Perturbation in Fast Gradient Sign Method. 433-436 - Dilara Gumusbas, Tulay Yildirim, Mustafa Kocakulak, Nurettin Acir:
Capsule Network for Finger-Vein-based Biometric Identification. 437-441 - Lin Geng, Min Xu, Zeqiang Wei, Xiuzhuang Zhou:
Learning Deep Spatiotemporal Feature for Engagement Recognition of Online Courses. 442-447
Computational Intelligence in Control and Automation (CICA)
- Max Schüssler, Tobias Münker, Oliver Nelles:
Deep Recurrent Neural Networks for Nonlinear System Identification. 448-454 - Tingyu Yan, Jun Wang, Xilong Liu, Qingyi Gu, Mengjuan Chen:
Segmentation of Complex Object Based on A Standardization Coding Method. 455-461 - Jay Hoon Jung, Eunhee Kim, YoungMin Kwon:
Quantitative Model Checking for a Resilient Control System. 462-469 - Hyun Ho Kang, Sang Su Lee, Kwan Soo Kim, Choon Ki Ahn:
Finite Memory Estimation-Based Recurrent Neural Network Learning Algorithm for Accurate Identification of Unknown Nonlinear Systems. 470-475 - Chang-Hun Lee, Min-Jea Tahk:
Autopilot Design for Unmanned Combat Aerial Vehicles (UCAVs) via Learning-based Approach. 476-481 - Canhui Chen, Yihong Ling, Deyang Zhang, Nini Shi, Yunong Zhang:
Noisy Zhang-Dynamics (ZD) Method for Genesio Chaotic (GC) System Synchronization: Elegant Analyses and Unequal-Parameter Extension. 482-487 - Syed Naveed Hussain Shah, Dean Frederick Hougen:
Rethinking Stochasticity in Neural Networks for Reinforcement Learning with Continuous Actions*. 488-496 - Mao Tan, Jicheng Jin, Yongxin Su:
An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid. 497-502 - Xianyi Chen, Xiafu Peng, Sun'an Wang:
The Marked-line Recognition Based on Network Topology Diagram Points Clustering. 503-507 - Tingting Su, Xu Liang, Guangping He, Quanliang Zhao, Lei Zhao:
Robust Trajectory Tracking of Delta Parallel Robot Using Sliding Mode Control. 508-512 - Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. 513-518 - Yunong Zhang, Zhenyu Li, Yihong Ling, Min Yang, Binbin Qiu:
Time-Varying Complex Zhang Matrix (ZM) with Its Pseudoinverse not Solvable Directly by Getz-Masden (GM) Dynamic System. 519-526 - Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Md Meftahul Ferdaus:
Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. 527-533
Computational Intelligence in Healthcare and E-health (CICARE)
- Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski:
Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures. 534-540 - Daria Filatova, Elena Proskurnina, Galina Portnova, Olga Martynova, Alina Tetereva, Vladislav Balaev:
The influence of lesion volume, cortex thickness and lesion localization on chronic post-stroke aphasia severity. 541-549 - Iko Nakari, Akinori Murata, Eiki Kitajima, Hiroyuki Sato, Keiki Takadama:
Sleep Apnea Syndrome Detection based on Biological Vibration Data from Mattress Sensor. 550-556 - Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. 557-562 - Alex Wojaczek, Regina-Veronicka Kalaydina, Mohammed Gasmallah, Myron R. Szewczuk, Farhana H. Zulkernine:
Computer Vision for Detecting and Measuring Multicellular Tumor Shperoids of Prostate Cancer. 563-569 - Tan Jiun Hann, Noor Liza Simon, Asrul Adam:
Systolic and Diastolic Multiclass Classification of PPG Signals using Neural Network with Random Weight. 570-576 - Lie-Quan Liang, Chang-Hong Yu, Xuan Zhou:
The Index System of Mobile Health Application Based on the AHP-Fuzzy Comprehensive Evaluation Method. 577-583 - Jianfeng Li, Xinyu Li, Xiaojun Jing:
Deeply-Fused Human Motion Recognition Network in Radar for In-Home Monitoring. 584-587 - Shreyasi Datta, James C. Bezdek, Marimuthu Palaniswami:
Experiments with Dissimilarity Measures for Clustering Waveform Data from Wearable Sensors. 588-595 - Julie L. Harvey, Sathish A. P. Kumar:
Machine Learning for Predicting Development of Asthma in Children. 596-603 - Ranjan Jana, Siddhartha Bhattacharyya, Swagatam Das:
Epileptic Seizure Prediction from EEG Signals Using DenseNet. 604-609 - Lei Lu, Ying Tan, Denny Oetomo, Iven Mareels, Erying Zhao, Shi An:
On Model-guided Neural Networks for System Identification. 610-616
Computational Intelligence in Cyber Security (CICS)
- Peilun Wu, Hui Guo:
LuNet: A Deep Neural Network for Network Intrusion Detection. 617-624 - Nitin Naik, Paul Jenkins, Nick Savage, Longzhi Yang, Kshirasagar Naik, Jingping Song:
Augmented YARA Rules Fused With Fuzzy Hashing in Ransomware Triaging. 625-632 - Andreas Grüner, Alexander Mühle, Christoph Meinel:
Using Probabilistic Attribute Aggregation for Increasing Trust in Attribute Assurance. 633-640 - Nitin Naik, Paul Jenkins, Jonathan Gillett, Haralambos Mouratidis, Kshirasagar Naik, Jingping Song:
Lockout-Tagout Ransomware: A Detection Method for Ransomware using Fuzzy Hashing and Clustering. 641-648 - Subash Poudyal, Zahid Akhtar, Dipankar Dasgupta, Kishor Datta Gupta:
Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives. 649-656 - Mohammadreza Ashouri, Christoph Kreitz:
Hybrid Taint Flow Analysis in Scala. 657-663 - Yonghong Huang, Joanna Negrete, Adam Wosotowsky, John Wagener, Eric Peterson, Armando Rodriguez, Celeste Fralick:
Detect Malicious IP Addresses using Cross-Protocol Analysis. 664-672
Computational Intelligence in Dynamic and Uncertain Environments (CIDUE)
- Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani:
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. 673-679 - Lukás Adam, Xin Yao:
A Simple Yet Effective Approach to Robust Optimization Over Time. 680-688 - Jialin Liu, Olivier Teytaud:
A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization. 689-696 - Jialin Liu, Olivier Teytaud:
Efficient Decision Making under Uncertainty in a Power System Investment Problem. 697-704 - James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi:
Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers. 705-713 - Julie L. Harvey, Sathish A. P. Kumar, Shaowu Bao:
Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Florence. 714-721 - Xin Lin, Wenjian Luo, Yingying Qiao, Peilan Xu, Tao Zhu:
Empirical Study of Population-Based Dynamic Constrained Multimodal Optimization Algorithms. 722-730 - Stefan Menzel, Timo Friedrich:
Addressing Complex Engineering Systems: The Value Of Evolvability. 731-739
Computational Intelligence and Ensemble Learning (CIEL)
- Peiyuan Zhu, Cailian Chen, Jianping He, Shanying Zhu:
Robust Estimator based Adaptive Multi-Task Learning. 740-747 - Jianheng Liang, Dong Huang:
Laplacian-Weighted Random Forest for High-Dimensional Data Classification. 748-753 - Jin Tian, Xinye Liu, Minqiang Li:
An Incremental Learning Ensemble Method for Imbalanced Credit Scoring. 754-759
Computational Intelligence for Engineering Solutions (CIES)
- Luis P. Silvestrin, Mark Hoogendoorn, Ger Koole:
A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive Maintenance. 760-767 - Lars Bogaerts, Matthias G. R. Faes, David Moens:
A fast inverse approach for the quantification of set-theoretical uncertainty. 768-775 - Longxue He, Michael Beer, Matteo Broggi, Pengfei Wei, António Topa Gomes:
Sensitivity analysis of prior beliefs in advanced Bayesian networks. 776-783 - Marco Behrendt, Liam A. Comerford, Michael Beer:
Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings. 784-790 - Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein:
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. 791-798 - Vladimir Samsonov, Johannes Lipp, Philipp Noodt, Alexia Fenollar Solvay, Tobias Meisen:
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing. 799-807 - Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization. 808-814 - Oscar Galindo, Christian Ayub, Martine Ceberio, Vladik Kreinovich:
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning. 815-818 - Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. 819-828 - Vladik Kreinovich, Martine Ceberio, Ricardo Alvarez:
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility. 829-833 - Bolette Dybkjær Hansen, David Getreuer Jensen, Søren Højmark Rasmussen, Jamshid Tamouk, Mads Uggerby, Thomas Baltzer Moeslund:
General Sewer Deterioration Model Using Random Forest. 834-841 - Daniel Machanje, Joseph Onderi Orero, Christophe Marsala:
Distress Recognition from Speech Analysis: A Pairwise Association Rules-Based Approach. 842-849