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ORCIDSSCI 2022: Singapore
- Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett:
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022. IEEE 2022, ISBN 978-1-6654-8768-9 - Nguyen Thi Hanh, Huynh Thi Thanh Binh, Nguyen Quang Huy, Nguyen Van Thanh, Mai Thi Quynh Banh:
Node placement optimization under K-Coverage and K-Connectivity constraints in wireless sensor networks. 1-8 - Zhong Liang Ou Yang, Yang Jiang
, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi:
Physics Compliance as a Metric for Neural Network Uncertainty. 1-7 - Sen Wang, Yonghui Sun, Li Chen, Pengpeng Wu, Wei Zhou, Chang Yuan:
Very short-term probabilistic forecasting of wind power based on OKDE. 1-5 - Naghmeh Shafiee Roudbari, Zachary Patterson, Ursula Eicker, Charalambos Poullis:
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction. 1-10 - Mustafa Misir:
Algorithm Selection across Algorithm Configurators A Case Study on Multi-objective Optimization. 1-5 - Ye Tian, Maihai Sun, Shangshang Yang, Xingyi Zhang:
Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users. 6-13 - Yifan He, Claus Aranha, Tetsuya Sakurai:
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. 14-21 - Mustafa Misir:
Cross-domain Algorithm Selection: Algorithm Selection across Selection Hyper-heuristics. 22-29 - Mia Gerber, Nelishia Pillay:
Automated design of feature extraction for unsupervised image clustering using grammatical evolution. 30-37 - Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov:
Explainable Model-specific Algorithm Selection for Multi-Label Classification. 39-46 - Jared O'Reilly, Nelishia Pillay:
Supplementary-architecture weight-optimization neural networks for advanced weight optimizers. 47-54 - Ashwini Kanakapura Sriranga, Qian Lu, Stewart A. Birrell:
Novel Radar based In-Vehicle Occupant Detection Using Convolutional Neural Networks. 55-60 - Yanhong Fei, Ming Hu, Xian Wei, Mingsong Chen:
Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. 71-76 - Helen Gremmelmaier, Lars Töttel, Svetlana Pavlitskaya, Stefan Orf, Marc Rene Zofka, J. Marius Zöllner:
Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles. 77-85 - Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller:
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. 86-93 - Blandine Chipot, Gianis Priovolos, Pouya Aghaei Pour, Julia Handl:
Multiobjective optimisation and decision making for vessel routing - a prototype and case study. 94-100 - Slim Belhaiza, Rym M'Hallah, Munirah Al-Qarni:
A Data-Driven Forecasting and Solution Approach for the Dial-A-Ride Problem with Time Windows. 101-110 - Hodaka Mori, Akira Oyama:
Multi-Objective Evolutionary Algorithm Fully Based on Unbounded Archive for Problems Requiring Very Expensive Solution Evaluations. 111-118 - Francisco Javier Cabrerizo, Juan Carlos González-Quesada, Juan Antonio Morente-Molinera, Ignacio Javier Pérez, Enrique Herrera-Viedma, Witold Pedrycz:
An Improvement of Consensus in Group Decision-Making Through an Optimal Distribution of Information Granularity. 119-124 - Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb:
Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race. 125-132 - Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse:
Toward scalable benchmark problems for multi-objective multidisciplinary optimization. 133-140 - Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies:
Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making. 141-147 - José Ramón Trillo, Francisco Javier Cabrerizo, Ignacio Javier Pérez, Juan Antonio Morente-Molinera, Sergio Alonso, Enrique Herrera-Viedma:
A Large-Scale Group Decision-Making Method based on Sentiment Analysis for the Detection of Cooperative Group. 148-155 - Zhen Song, Wenjian Luo, Xin Lin, Zeneng She, Qingfu Zhang:
On Multiobjective Knapsack Problems with Multiple Decision Makers. 156-163 - Shuailei Zhang, Dezhi Zheng, Ning Tang, Effie Chew, Rosary Yuting Lim, Kai Keng Ang, Cuntai Guan:
Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG. 164-170 - Isao Nakanishi, Kotaro Mukai:
Introduction of a Mutual Feature between Electrodes into Support Vector Machine Based Person Verification Using Evoked Electroencephalogram by Ultrasound. 171-177 - Sayantani Ghosh, Amit Konar, Atulya K. Nagar:
Hemodynamic Analysis for Assessment of Scientific Creative Potential of Subjects Using Capsule Graph Neural Network. 178-185 - Alireza Rafiei, Yu-Kai Wang:
Automated Major Depressive Disorder Classification using Deep Convolutional Neural Networks and Choquet Fuzzy Integral Fusion. 186-192 - Benjamin Poole, Minwoo Lee:
Error-related Potential Variability: Exploring the Effects on Classification and Transferability. 193-200 - KN Vishnu, Srihari Madhavan, Cota Navin Gupta:
Cross-session Classification of Mental Workload Levels using Recurrent Neural Networks. 201-205 - Abhay M. S. Aradhya, Gaurav Sharma, Mahardhika Pratama, Suresh Sundaram:
Adaptive Latent Transformation (ALT) for classification of resting state - fMRI. 206-210 - Michal Prauzek, Jaromir Konecny, Tereza Paterova:
Q-learning Energy Management Strategy for TEG-powered Environmental Monitoring IoT Devices: A Pilot Study. 211-216 - Monika Borova, Petra Svobodova, Michal Prauzek, Jaromir Konecny:
Comparison of Edge Computing Methods for Environmental Monitoring IoT Sensors Using Neural Networks and Wavelet Transforms. 217-222 - Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila:
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data. 223-230 - Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka:
Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion. 231-237 - Munesh Singh, Vijaypal Singh Rathor, Kshira Sagar Sahoo, Amir H. Gandomi:
Cooperative Geometric Scheme for Passive Localization of Target in an Indoor Environment. 238-245 - Peter Hart, Tasnia Rahman, Sathish A. P. Kumar:
Emotion and Sentiment Recognition using Natural Language Processing and Machine Learning Techniques during Disaster Situation. 246-252 - Camille Mavic Tupas Castro, Anurag Sharma, Dhivya Sampath Kumar, Khalid Abidi, Noori Kim:
The implementation of Thread Network for a Smart Factory. 253-260 - Armin Sadreddin, Samira Sadaoui:
Training and Testing Cascades for Imbalanced Data Classification. 261-268 - Truong Dang, Tien Thanh Nguyen, John McCall, Alan Wee-Chung Liew:
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. 269-276 - Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer:
Echo state neural network based ensemble deep learning for short-term load forecasting. 277-284 - Toshi Sinha, Brijesh K. Verma:
Convolutional Ensemble Network for Image Classification. 285-292 - Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer:
Graph embedded intuitionistic fuzzy weighted random vector functional link network. 293-299 - Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina:
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition. 300-307 - Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks. 308-314 - Fernando Mazzoni, Kshitij Jerath:
Understanding Agent Competency: Effects of Environment Complexity on Area Coverage Time. 315-321 - Carmen Fucile, Danilo Cavaliere, Sabrina Senatore:
A fuzzy tree-based framework for vegetation state monitoring. 322-329 - Guillaume Prévost, Éric Jacopin, Tristan Cazenave, Christophe Guettier:
Planning for millions of NPCs in Real-Time. 330-336 - Matthew Siper, Ahmed Khalifa, Julian Togelius:
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset. 337-343 - Japjeet Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
LSTM based Algorithmic Trading model for Bitcoin. 344-351 - Yuyang Zhou, Ferrante Neri:
A Fitness Landscape Analysis of the LeNet-5 Loss Function. 352-359 - Tianyu Liang, Zhize Wu, Jörg Lässig, Daan van den Berg, Thomas Weise:
Solving the Traveling Salesperson Problem using Frequency Fitness Assignment. 360-367 - Seiki Ubukata, Tomohiro Kawakami, Katsuhiro Honda:
Adaptive Online Rough C-Means Clustering and Its Application to Collaborative Filtering. 368-373 - Evan Lucas, Steven Whitaker, Timothy C. Havens:
Online learning with binary feedback for multi-class problems. 374-380 - Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler:
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. 381-388 - Junior Samuel López-Yépez, Antoine Fagette:
Increasing attacker engagement on SSH honeypots using semantic embeddings of cyber-attack patterns and deep reinforcement learning. 389-395 - Aditya Devasthale, Shamik Sural:
Adversarially Robust Deepfake Video Detection. 396-403 - Jesse Ables, Thomas Kirby, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Creating an Explainable Intrusion Detection System Using Self Organizing Maps. 404-412 - Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada, Mahmoud Nabil, Lydia Asrat Zeleke, Abdollah Homaifar, Edward W. Tunstel:
Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints. 413-420 - Abdullah Al Farooq, Manash Sarker:
InstruPro: Instrumenting Programmable Logic Controller (PLC) based on Model Checking. 421-428 - Sirwe Saeedi, Alvis Cheuk M. Fong, Ajay Gupta, Steve Carr:
Reusable Toolkit for Natural Language Processing in an Ambient Intelligence Environment. 429-435 - Vandana M. Ladwani, V. Ramasubramanian:
M-ary Hopfield neural network for storage and retrieval of variable length sequences: Multi-limit cycle approach. 436-441 - Jorge Morales, Wen Yu:
Bayesian inference for neural network based high-precision modeling. 442-447 - Alan Popiel, Marcin Wozniak:
Feature reduction for simplified handwritten digit classification model. 448-454 - Alexandre Carqueja, Bruno Cabral, João Paulo Fernandes, Nuno Lourenço:
On the Democratization of Machine Learning Pipelines. 455-462 - Muhammed Umar Farrukh, Richard E. Wainwright, Keeley A. Crockett, David McLean, Neil Dagnall:
Building Actionable Personas Using Machine Learning Techniques. 463-472 - Ge Zhang, Ni Wu, Chaonan Shen, Kai Zhang:
An adaptive fitness evolutionary algorithm for sparse large-scale multi-objective optimization problems. 473-479 - Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker:
A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem. 480-487 - Shuo Huang, Yinxi Tian, Xintong Duan:
Evolving Robust Solutions to Uncertain Capacitated Arc Routing Problem with Time Window. 488-495 - Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling. 496-503 - Bo-Cheng Lin, Xiao-Fang Liu, Yi Mei:
Efficient Extended Ant Colony Optimization for Capacitated Electric Vehicle Routing. 504-511 - Fatemeh Rashidi Fathabadi, Janos L. Grantner, Saad A. Shebrain, Ikhlas Abdel-Qader:
Two-level Fuzzy Logic Evaluation System for Surgeon's Hand Movement Using Object Detection. 520-527 - Khirakorn Thipprachak, Poj Tangamchit, Sarawut Lerspalungsanti:
Privacy-Aware Human Activity Classification using a Transformer-based Model. 528-534 - Sathish A. P. Kumar, Manu S. Pillai, Zhenlong Li:
Global Perception of Telemedicine before and after COVID-19 : A Text Mining Analysis. 535-542 - Helen Schneider, Max Lübbering, Rebecca Kador, Maximilian Broß, Priya Priya, David Biesner, Benjamin Wulff, Thiago Bell Felix de Oliveira, Yannik C. Layer, Ulrike I. Attenberger, Rafet Sifa:
Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. 543-550 - Helder Cesar Rodigues de Oliveira, Haaziq Altaf, Mohammed Almekhlafi, Svetlana N. Yanushkevich:
Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients. 551-558 - Shehroz S. Khan, Ali Abedi:
Step Counting with Attention-based LSTM. 559-566 - Jaromir Konecny, Michal Prauzek, Tereza Paterova:
Double Q-learning Adaptive Wavelet Compression Method for Data Transmission at Environmental Monitoring Stations. 567-572 - U. A. Md. Ehsan Ali, Keisuke Kameyama:
Informative Band Subset Selection for Hyperspectral Image Classification using Joint and Conditional Mutual Information. 573-580 - Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan:
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC2MFN) for Building Segmentation of InSAR images. 581-587 - Madeleine Cochrane, Andrew Coyle, Mohammad Zamani:
Value Based Analysis of a Counter UAS Problem. 588-595 - Ehab Zaki Elfeky, Madeleine Cochrane, Simon Crase, Saber M. Elsayed, Brendan Sims, Daryl Essam, Ruhul A. Sarker:
Coevolution with Danger Zone Levels Strategy for the Weapon Target Assignment Problem. 596-603 - Nicholas Hamilton, Adam Webb, Matt Wilder, Ben Hendrickson, Matt Blanck, Erin Nelson, Wiley Roemer, Timothy C. Havens:
Enhancing Visualization and Explainability of Computer Vision Models with Local Interpretable Model-Agnostic Explanations (LIME). 604-611 - Raymond Chiong, Nasimul Noman:
Playing a Multi-action, Adversarial Game in a Dynamic Environment. 612-618 - Ge Guo, Wenjing Hong, Chaoyong Zhou, Xin Yao:
Indicator-Aware Talking Face Generation Based on Evolutionary Multi-objective Optimization. 619-625 - Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang:
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. 626-633 - Michael Stanley, Andrew Lensen, Mengjie Zhang:
Using Neural Networks to Automate Monitoring of Fish Stocks. 634-641 - Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. 642-648 - Huy Le Nguyen, Dominique F. Chu:
Incremental Neural Synthesis for Spiking Neural Networks. 649-656 - Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
Normalized Post-training Quantization for Photonic Neural Networks. 657-663 - MHD Anas Alsakkal, Jayawan H. B. Wijekoon:
An Active Hopf-based Digital Hardware Cochlea Implementation. 664-671 - Khan Muhammad, Tanveer Hussain, Javier Del Ser, Weiping Ding, Amir H. Gandomi, Victor Hugo C. de Albuquerque:
Efficient Video Summarization for Smart Surveillance Systems. 672-677 - Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Hierarchical Reinforcement Learning With Multi Discount Factors In A Differential Game. 686-693 - Mubeenah Titilola Sanni, Hemanshu R. Pota, Daoyi Dong, Huadong Mo:
A Hybrid Decoupled Method For Tertiary Voltage Control of Active Distribution Networks. 694-699 - Alexandra-Iulia Szedlak-Stînean, Radu-Emil Precup, Raul-Cristian Roman, Emil M. Petriu, Claudia-Adina Bojan-Dragos, Elena-Lorena Hedrea:
Discrete-time Linear and Nonlinear Observers for an Electromechanical Plant with State Feedback Control. 700-707 - Jia Qu, Shotaro Miwa, Yukiyasu Domae:
Learning Landmark-Oriented Subgoals for Visual Navigation Using Trajectory Memory. 708-714 - Jorge Ramírez, Wen Yu:
Redundant robot control with learning from expert demonstrations. 715-720 - Tereza Paterova, Michal Prauzek, Jaromir Konecny:
Robustness Analysis of Data-Driven Self-Learning Controllers for IoT Environmental Monitoring Nodes based on Q-learning Approaches. 721-727 - Liwen Kang, Xuelei Wang, Zhiheng Wu, Ruihua Wang:
Multi-Objective Bayesian Optimization using Deep Gaussian Processes with Applications to Copper Smelting Optimization. 728-734 - Mohammad Sameer Ahmad, Christian Wagner:
JuzzyPy - A Python Library to Create Type - 1, Interval Type-2 and General Type-2 Fuzzy Logic Systems. 735-742 - Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens:
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data. 743-749 - Hsuan-Jen Ko, Thammarsat Visutarrom, Tsung-Che Chiang:
Dynamic economic emission dispatch through evolutionary multiobjective optimization: An experimental study. 750-759 - Manoj Shakya, Bu-Sung Lee, Huey Yuen Ng:
A Deep Reinforcement Learning Approach for Inventory Control under Stochastic Lead Time and Demand. 760-766 - Corentin Juvigny, Julien Baste, Guillaume Lozenguez, Arnaud Doniec, Laetitia Jourdan:
Towards hybridization of multi-agent simulation and metaheuristics applied to selective deconstruction. 767-773 - Hao Wang, Jiting Li, Yanjie Song, Jingbo Huang, Jichao Li, Yingwu Chen:
An Improved Genetic Algorithm for Team Formation Problem. 774-781 - Yacine Laalaoui, Rym M'Hallah:
A problem-independent search heuristic for single machine scheduling with release dates and deadlines. 782-789 - Aymen Ben Said, Malek Mouhoub:
A Constraint Satisfaction Problem (CSP) Approach for the Nurse Scheduling Problem. 790-795 - Michalis Mavrovouniotis, Georgios Ellinas, Changhe Li, Marios M. Polycarpou:
A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows. 796-803 - Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek:
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. 804-811 - Emilio Singh, Nelishia Pillay:
A Parameter-Based Analysis of Ant-Based Generation Hyper-Heuristics. 812-819 - Fengming Guan, Taro Tezuka:
A medical Q&A system with entity linking and intent recognition. 820-829 - Sudarsini Tekkam Gnanasekar, Svetlana N. Yanushkevich, Nynke J. Van den Hoogen, Tuan Trang:
Rodent Tracking and Abnormal Behavior Classification in Live Video using Deep Neural Networks. 830-837 - Sanjana Tule, Nhi Ha Lan Le, Buser Say:
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming. 838-845