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SSCI 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
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
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
Explainable Model-specific Algorithm Selection for Multi-Label Classification. 39-46 - Jared O'Reilly
Supplementary-architecture weight-optimization neural networks for advanced weight optimizers. 47-54 - Ashwini Kanakapura Sriranga
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
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. 86-93 - Blandine Chipot, Gianis Priovolos, Pouya Aghaei Pour
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
An Improvement of Consensus in Group Decision-Making Through an Optimal Distribution of Information Granularity. 119-124 - Deepanshu Yadav
Visualization-aided Multi-criterion Decision-making Using Reference Direction Based Pareto Race. 125-132 - Victoria Johnson, João A. Duro
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
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
Online Adaptive CNN: a Session-to-session Transfer Learning Approach for Non-stationary EEG. 164-170 - Isao Nakanishi
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
Adaptive Latent Transformation (ALT) for classification of resting state - fMRI. 206-210 - Michal Prauzek
Q-learning Energy Management Strategy for TEG-powered Environmental Monitoring IoT Devices: A Pilot Study. 211-216 - Monika Borova, Petra Svobodova
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
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
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation. 269-276 - Ruobin Gao
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
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
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
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. 381-388 - Junior Samuel López-Yépez
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
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
Reusable Toolkit for Natural Language Processing in an Ambient Intelligence Environment. 429-435 - Vandana M. Ladwani
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
On the Democratization of Machine Learning Pipelines. 455-462 - Muhammed Umar Farrukh
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
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
Double Q-learning Adaptive Wavelet Compression Method for Data Transmission at Environmental Monitoring Stations. 567-572 - U. A. Md. Ehsan Ali
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
Value Based Analysis of a Counter UAS Problem. 588-595 - Ehab Zaki Elfeky, Madeleine Cochrane
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
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
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. 626-633 - Michael Stanley, Andrew Lensen
Using Neural Networks to Automate Monitoring of Fish Stocks. 634-641 - Ranju Mandal
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. 642-648 - Huy Le Nguyen
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
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
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
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
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
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
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
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 - Julio J. Valdés, Antonio Pou:
Explainable AI Applied to the Analysis of the Climatic Behavior of 11 Years of Meteosat Water Vapor Images. 846-853 - André Artelt
"Even if ..." - Diverse Semifactual Explanations of Reject. 854-859 - Leeanne Lindsay, Dermot Kerr, Sonya Coleman, Bryan Gardiner:
Transparent Models for Stock Market Price Forecasting. 860-866 - Valentin Guillet, Dennis Wilson, Carlos Aguilar Melchor, Emmanuel Rachelson:
On Neural Consolidation for Transfer in Reinforcement Learning. 867-874 - Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
An Optimistic Approach to the Temporal Difference Error in Off-Policy Actor-Critic Algorithms. 875-883 - Hamed Jabbari Asl, Eiji Uchibe:
Online Data-Driven Inverse Reinforcement Learning for Deterministic Systems. 884-889 - Alain Andres
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation. 890-899 - Shawon Dey, Hao Xu:
Decentralized Adaptive Tracking Control For Large-Scale Multi-Agent Systems Under Unstructured Environment. 900-907 - Abdur R. Shahid, Ahmed Imteaj
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System. 908-914 - Raktim Ranjan Das, Bhargavi Krishnamurthy, Saikat Das:
Securing IoT devices using Ensemble Machine Learning in Smart Home Management System. 915-922 - Iñigo Pérez Delgado
Quantum hobbit routing: Annealer implementation of generalized Travelling Salesperson Problem. 923-929 - Mikel Garcia de Andoin
Comparative Benchmark of a Quantum Algorithm for the Bin Packing Problem. 930-937 - Esther Villar-Rodriguez
Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations. 938-946 - Rubén Ibarrondo, Giancarlo Gatti, Mikel Sanz:
Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence. 947-954 - Shunta Nanbu, Hiroyuki Masuta, Yotaro Fuse, Noboru Takagi, Kei Sawai, Tatsuo Motoyoshi:
Effects of Non-Verbal Communication by In-Vehicle Robots on Passengers during Automated Driving. 955-961 - Alfin Junaedy
Object Extraction Method for Mobile Robots using Fast Growing Neural Gas. 962-969 - Dania Martinez-Figueora, Sanjoy Das
A Distributed Approach for Robotic Coverage Path Planning Under Steep Slope Terrain Conditions. 970-977 - Alok Yadav, Kitsuchart Pasupa, Chu Kiong Loo:
Revisiting Echo State Networks for Continuous Gesture Recognition. 978-983 - Naoki Doteguchi, Naoyuki Kubota:
Topological Mapping for Event-based camera using Fast-GNG and SNN. 984-989 - Tran Thi Cam Giang, Nguyen Tien Dung, Huynh Thi Thanh Binh, Do Quoc Huy, Mac Thi Thoa:
Wave Environment Decomposition with Adaptive Tri-Objective Particle Swarm Optimization for Mobile Robot Path Planning. 990-997 - Omar Al-Ani, Sanjoy Das
A Deep Architecture using Multiple TabNets for Environmental Prediction and Control in Smart Home. 998-1003 - Ahmad Khaled Zarabie, Sanjoy Das
An $L_{0}$-Norm Constrained Unsupervised Non-Negative Matrix Factorization Algorithm for Privacy Preserving Energy Usage Decomposition. 1004-1011 - Ying Ying Liu, Parimala Thulasiraman, Nelishia Pillay:
Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization. 1012-1020 - Kleanthis Malialis
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. 1021-1027 - Eduardo A. Soares, Plamen Angelov, Neeraj Suri:
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. 1028-1035 - Kanako Esaki
Extended-Self Recognition for Autonomous Agent Based on Controllability and Predictability. 1036-1043 - Patricia Wollstadt
Quantifying cooperation between artificial agents using synergistic information. 1044-1051 - Simon J. Hickinbotham, Rahul Dubey
Evolving Design Modifiers. 1052-1058 - Takumi Saito, Haruki Nishimura, Mizuki Oka:
Comparative studies of evolutionary methods and RL for learning behavior of virtual creatures. 1059-1065 - Peter Belcak, Roger Wattenhofer:
Periodic Extrapolative Generalisation in Neural Networks. 1066-1073 - Shicheng Zu, Yucheng Jin, Yang Li:
Generalwise Separable Convolution for Mobile Vision Applications. 1074-1081 - Firas Laakom, Jenni Raitoharju
Efficient CNN with uncorrelated Bag of Features pooling. 1082-1087 - Siying Zhang, Andi Han, Junbin Gao:
Robust Denoising in Graph Neural Networks. 1088-1095 - Ngiap Tiam Koh, Anurag Sharma, Jianfang Xiao, Xiaoyang Peng, Wai Lok Woo
Solar Irradiance Forecast using Long Short-Term Memory: A Comparative Analysis of Different Activation Functions. 1096-1101 - Weikang Gu, Wen Gan, Chengliang Shen, Rui Hu, Jie Shang, Haoming Liu:
Optimal Source-Grid-Load Coordinated Scheduling of the Distribution Network Considering Economic and Environmental Benefits. 1102-1107 - Zhen-Long Li, Peng Li, Jing Xia:
Dispatching strategy for the multi-energy microgrid with source and load uncertainties. 1113-1118 - Emrecan Ozdogan, Adriana Fasino, Rachel Nguyen, Bahrad A. Sokhansanj
Semi-supervised and Incremental VSEARCH for Metagenomic Classification. 1119-1126 - Hanna Kondratiuk, Rafet Sifa:
Investigating The Scalability of Kernel Minimum Enclosing Balls for Novelty Detection: Algorithms with Empirical Evaluations. 1127-1134 - Quang Nhat Huynh, Hemant K. Singh, Tapabrata Ray, Akira Oyama:
Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. 1135-1142 - Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model. 1143-1148 - Yubiao Sun, Ushnish Sengupta, Matthew P. Juniper:
Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization. 1149-1155 - Jonas A. Actor, Andy Huang, Nathaniel Trask:
Polynomial-Spline Networks with Exact Integrals and Convergence Rates. 1156-1163 - Xiang Xie, Yuhao Gao, Wilhelm Stork:
PA-DCGAN: Efficient Spectrum Generation using Physics-Aware Deep Convolutional Generative Adversarial Network with Latent Physical Characteristics and Constraints. 1164-1171 - Mayank Deshpande, Siddharth Agarwal, Arya Kumar Bhattacharya:
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. 1172-1179 - Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu
Design of Turing Systems with Physics-Informed Neural Networks. 1180-1186 - Wanlu Yang, Peng Jiang, Shiji Song:
High-speed Train Timetabling Based on Reinforcement Learning. 1187-1193 - Bryan Dedeurwaerder, Sushil J. Louis:
A Meta Heuristic Genetic Algorithm for Multi-Depot Routing in Autonomous Bridge Inspection. 1194-1201 - Roberto Santana, Siddhartha Shakya:
Evolutionary approaches with adaptive operators for the bi-objective TTP. 1202-1209 - Tómas Ingi Hrólfsson, Rúnar Unnsteinsson, Thomas Philip Runarsson:
Active model learning for the student nurse allocation problem. 1210-1217 - Fangfang Zhang, Yi Mei, Su Nguyen
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. 1218-1225 - Xiaohan Zhao, Wen Song
A Deep Reinforcement Learning Approach for Resource-Constrained Project Scheduling. 1226-1234 - Fabio Tanaka, Claus Aranha:
Co-evolving morphology and control of soft robots using a single genome. 1235-1242 - Brandon Gower-Winter
Extreme Environments Perpetuate Cooperation. 1243-1250 - Mikihiro Suda, Takumi Saito, Mizuki Oka:
Agent-based model using adjacent possible space for generating waves of novelty. 1251-1258 - Priyanka Mehra
An extension to the NK fitness landscape model to study pleiotropy, epistasis, and ruggedness independently. 1259-1267 - Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. 1268-1275 - Natalya Weber
Scaling up the self-optimization model by means of on-the-fly computation of weights. 1276-1282 - Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette:
Evolution of linkages for prototyping of linkage based robots. 1283-1290 - Ye Xiao
Kernel Matrix-based Spd Representation For Graph Learning. 1291-1297 - Yi-Le Lin, You-Cheng Chen
Effective Construction of a Reflection Angle Prediction Model for Reflectarrays Using the Hadamard Product Self-Attention Mechanism. 1298-1303 - Yunhui Zhu, Buliao Huang, Xiren Zhou, Huanhuan Chen:
Level-wise Dynamic Label Assignment for Oriented Object Detection. 1304-1311 - Buliao Huang, Yunhui Zhu, Xiren Zhou, Huanhuan Chen:
Conditional Inpainting Generative Flow. 1312-1318 - Sayantani Ghosh, Shirsha Bose
Decoding the Creative Ability of Subjects from Aesthetic Quality Assessment Using Dual Convolution Induced Capsule Network. 1319-1326 - Damian Kisiel
Axial-LOB: High-Frequency Trading with Axial Attention. 1327-1333 - David M. Schwartz, Gregory Ditzler:
On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. 1334-1341 - Xingsi Zhong, Ganesh K. Venayagamoorthy, Richard R. Brooks:
A Virtual Synchrophasor Network for Power System Resiliency Under Concurrent DoS Attacks. 1342-1349 - Lilin Cheng, Haixiang Zang, Haiteng Han, Zhinong Wei, Guoqiang Sun:
Satellite-derived Photovoltaic Power Forecasting Based on Various Attention Inputs for Higher Self-explainability. 1350-1355 - Tianhan Zhang, Xingli Zhai, Weiqiang Qiu, Ting Lv, Zhenzhi Lin, Li Yang:
Robust-Based Market Bidding Strategy and Profit Allocation Method for the Alliance of Wind Power Generators Considering Shared Energy Storage. 1356-1361 - Chenyu Xiong, Haoming Liu, Zhihao Yang, Jian Wang
Optimal Reactive Power Dispatch of Distribution Network Considering Voltage Security. 1362-1367 - Yingqi Liang
Optimal Residential Building Energy Management Using Genetic Algorithm. 1368-1373 - Yingqi Liang
Energy Consumption Forecasting Based on Long Short-term Memory Neural Network with Realistic Smart Meter Data. 1374-1379 - Xiao Hua, Baoyu Hou, Zhanglei Zheng, Yang Yu, Hui Zheng, Pinquan He, Lizi Luo:
Optimal scheduling of energy storage systems considering the two-layer interaction of distribution networks. 1380-1385 - Yasser Khalafaoui, Nistor Grozavu, Basarab Matei, Laurent-Walter Goix:
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization. 1386-1391 - Francisco J. Moreno-Barea
Data Augmentation Meta-Classifier Scheme for imbalanced data sets. 1392-1399 - Preeti Jha, Aruna Tiwari
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. 1400-1407 - Kleanthis Malialis
Data Augmentation On-the-fly and Active Learning in Data Stream Classification. 1408-1414 - Maha Ben-Fares, Nistor Grozavu, Parisa Rastin, Pierre Holat:
High Dimensional Data Stream Clustering using Topological Representation Learning. 1415-1422 - Thendo Sidogi, Wilson Tsakane Mongwe
Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions. 1423-1429 - Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval. 1430-1435 - Yihang Gao
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. 1443-1450 - Abhishek Chandra
Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws through indirect data. 1451-1459 - Taniya Kapoor
Predicting traction return current in electric railway systems through physics-informed neural networks. 1460-1468 - Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. 1469-1475 - Yusuke Sawada, Akari Tanabe, Yohei Nakada:
A Chatbot to Search for Similar Fashion Photos and Reference Fashion Coordinators via Body Part and Fashion Item Segmentations. 1476-1484 - Jie Zhang, Lunke Fei, Shaohua Teng, Qinghua Zhu, Imad Rida, Jie Wen:
Consensus Learning with Complete Graph Regularization for Incomplete Multi-view Clustering. 1485-1492 - Adlina Syamlan, Tuur Mampaey, Fathurachman, Kathleen Denis
A Virtual Spine Construction Algorithm for a Patient - Specific Pedicle Screw Surgical Simulators. 1493-1500 - Tao Wu, Tie Luo, Donald C. Wunsch:
Learning Deep Representations via Contrastive Learning for Instance Retrieval. 1501-1506 - Finn Sargisson, Xiaoying Gao, Bing Xue:
Learning CNN architecture for multi-view text classification using genetic algorithms. 1507-1514 - Yan Lu, Bach Hoai Nguyen, Bing Xue:
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. 1515-1522 - Connor McShaffrey, Randall D. Beer:
Maintaining Viability with Multiple Needs. 1523-1528 - Thinh H. Nguyen, Dieter Vanderelst:
Toward Behavior-Based models of bat echolocation. 1529-1536 - Yan Kolezhitskiy, Matthew D. Egbert, Claire M. Postlethwaite:
Stochastic Analysis of The Viability of a Protocell. 1537-1544 - Mingqi Yuan, Man-On Pun:
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation. 1545-1550 - Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner:
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. 1551-1559 - Yusuke Yasuda, Wataru Kumagai, Kenichi Tamura, Keiichiro Yasuda:
MOEA/D with Feasibility-based Weight Adjustment for Constrained Optimization. 1560-1566 - Yuto Kobayashi, Yoshikazu Fukuyama:
Parallel Reactive Tabu Search for Aircraft Maintenance Routing. 1567-1573 - Liam J. S. McDevitt, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization. 1574-1581 - Mitchell Clark, Beatrice M. Ombuki-Berman, Nicholas Aksamit, Andries P. Engelbrecht:
Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization. 1582-1591 - Jing-Yu Ji
Surrogate-assisted Parameter Re-initialization for Differential Evolution. 1592-1599 - Dave Cliff
Metapopulation Differential Co-Evolution of Trading Strategies in a Model Financial Market. 1600-1609 - Wael Korani, Malek Mouhoub:
Mother Tree Optimization for Conditional Constraints and Qualitative Preferences. 1610-1617 - Lucas A. da Silveira, Thaynara A. de Lima, Mauricio Ayala-Rincón
Reconfigurable Heterogeneous Parallel Island Models. 1618-1625 - Reem E. Mohamed, Saber M. Elsayed
Reinforcement Learning for Solving Communication Problems in Shepherding. 1626-1635 - George Tambouratzis:
Investigating the Effect of Hyperparameter Values and Size on Swarm Optimization Effectiveness. 1636-1643 - Rohit Salgotra, Supreet Singh, Urvinder Singh, Krishanu Kundu
An Adaptive Version of Differential Evolution for Solving CEC2014, CEC 2017 and CEC 2022 Test Suites. 1644-1649 - Qi Huang, Roy de Winter, Bas van Stein
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. 1650-1658 - Teppei Yamaguchi, Kento Uchida
Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. 1659-1668 - Abhishek Gupta
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. 1669-1674 - Kei Nishihara, Masaya Nakata:
Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion. 1675-1682 - Fred Valdez Ameneyro, Edgar Galván:
Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy. 1683-1690 - João Victor T. De Souza Abreu
Evolving Interpretable Classification Models via Readability-Enhanced Genetic Programming. 1691-1697 - Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov:
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances. 1698-1705 - Dikshit Chauhan
XOR-Based Binary AEFA: Theoretical Studies and Applications. 1706-1713 - Yi-Ming Ma, Hang Zhou, Xiao-Bing Hu:
The Ripple-Spreading Algorithm for the $k$-Color Shortest Path Problem. 1714-1719 - Iztok Fister Jr.
Data squashing as preprocessing in association rule mining. 1720-1725 - Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi:
Modified Nelder-Mead Method for High-Dimensional Low-Budget Optimization. 1726-1731
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