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ORCIDSSCI 2023: Mexico City, Mexico
- IEEE Symposium Series on Computational Intelligence, SSCI 2023, Mexico City, Mexico, December 5-8, 2023. IEEE 2023, ISBN 978-1-6654-3065-4
- Benjamin Fraser, Adolfo Perrusquía, Dimitrios Panagiotakopoulos, Weisi Guo:
A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data. 1-6 - Yichun Li, Rajesh Nair, Syed Mohsen Naqvi:
Video-Based Skeleton Data Analysis for ADHD Detection. 1-6 - Aurélio Ribeiro Costa, Rafael Henrique Nogalha de Lima
, Célia Ghedini Ralha:
Machine Learning Approaches for Community Detection in Online Social Networks. 7-12 - Rafael Henrique Nogalha de Lima, Aurélio Ribeiro Costa, Thiago de Paulo Faleiros, Célia Ghedini Ralha:
An Actor-Critic Architecture for Community Detection Ablation Study. 13-18 - Zhi Li, Danya Xu, Yuzhe Li, Tianyou Chai, Tao Yang:
OSVAE-GAN: Orthogonal Self-Attention Variational Autoencoder Generative Adversarial Networks for Time Series Anomaly Detection. 19-24 - Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj:
Cryptocurrency Portfolio Optimization by Neural Networks. 25-32 - Guido Parodi, Luca Oneto, Giulio Ferro, Stefano Zampini, Michela Robba, Davide Anguita, Andrea Coraddu:
Physics Informed Data Driven Techniques for Power Flow Analysis. 33-40 - Abdullah Almohammadi, Yu-Kai Wang:
Integrated Connectivity-based Stacking Ensemble Learning with GCNNs for EEG Representation. 41-46 - Gang Li, Yu-Kai Wang, Mark McGill, Katharina Margareta Theresa Pöhlmann, Stephen A. Brewster, Frank E. Pollick:
Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform. 47-52 - Justin Sia, Yu-Cheng Chang, Chin-Teng Lin, Yu-Kai Wang:
EEG-BASED TNN for Driver Vigilance Monitoring. 53-57 - Davi Esteves Dos Santos, Gabriel Henrique de Souza, Heder Bernardino, Alex Borges Vieira, Luciana Paixão Motta:
Residual Attention Module on EEGN et for Brain-Computer Interface. 58-63 - Chun-Shu Wei:
Quantitative Quality Assessment for EEG Data: A Mini Review. 64-68 - Matthew Malek-Podjaski, Fani Deligianni:
Adversarial Attention for Human Motion Synthesis. 69-74 - Takanobu Mizuta, Isao Yagi:
Comparing Effects of Price Limit and Circuit Breaker in Stock Exchanges by an Agent-Based Model. 75-82 - Eva Christodoulaki, Michael Kampouridis:
Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming. 83-89 - Golnaz Sababipour ASL, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
Stock Volatility Forecasting with Transformer Network. 90-96 - Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
Portfolio Diversification with Clustering Techniques. 97-102 - Benjamin Callewaert, Nicholas Decleyre, Simon Vandevelde, Nuno Comenda, Bart Coppens, Joost Vennekens:
Facilitating Investment Strategy Negotiations Through Logic. 103-108 - Kelvin Du, Frank Xing, Rui Mao, Erik Cambria:
FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis. 109-114 - Deokgun Park, Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Mazharul Islam:
A Definition and a Test for Human-Level Artificial Intelligence. 115-120 - Seng-Beng Ho:
Why is that a Good or Not a Good Frying Pan? - Knowledge Representation for Functions of Objects and Tools for Design Understanding, Improvement, and Generation. 121-128 - Dmytro Herashchenko, Igor Farkas:
Appearance-Based Gaze Estimation Enhanced with Synthetic Images Using Deep Neural Networks. 129-134 - Alexander Kedalo, Andrey Zykov, Hamna Aslam, Manuel Mazzara:
Comparing Behaviour Tree and Hierarchical Task Network Planning Methods for their Impact on Player Experience. 135-139 - Sofia Marshallowitz, Edison Pignaton de Freitas:
Comparative Analyzes of Human and Machine Randomness: Insights into Decision-Making Models. 140-145 - Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka:
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies. 146-151 - Bilal Aslan, Flávio S. Corrêa da Silva, Geoff Nitschke:
Multi-Objective Evolution for Automated Chemistry. 152-157 - Francisco Vega, Xiaoou Li, Brisbane Ovilla-Martínez, Wen Yu:
Type-2 Fuzzy LSTM for Nonlinear System Modeling. 158-163 - Qinge Xiao, Zhile Yang, Chengke Wu, Yuanjun Guo:
Imitation Learning of Diverse Expert Behaviors for Advanced Machining System Optimizations. 164-169 - Runyu Zhang, Jian Tang, Heng Xia:
Carbon Monoxide Emission Prediction Based on Concept Drift Detection Using KPCA for Municipal Solid Waste Incineration Processes. 170-173 - Heng Xia, Jian Tang, Runyu Zhang:
Online Soft Sensing of Dioxin Emission Based on Fast Tree BLS and Robust PCA. 174-179 - Farzad Rezazadeh P., Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll:
Leveraging Ensemble Structures to Elucidate the Impact of Factors That Influence the Quality of Ultra-High Performance Concrete. 180-187 - Takuya Sukegawa, Yasuhiro Hashimoto, Keisuke Hata:
Estimation of Drivers' Cognitive Load Through Foot Placement Analysis in a Car-Sharing Service. 188-193 - Hanni Sandhu, Joana Kühne, Oliver Sawade, Martin Stellmacher, Elmar Matthes, Olaf Hellwich:
A novel Traffic Sign Dataset with Condition Annotations. 194-199 - Francisco Ruben Parra Perea, Jun Chen, Michal Weiszer, John Korna, Richard Cannon:
Airport Ground Movement Optimization Revisited: Coupling Airport Runway Spacing to Multi-Objective Routing and Scheduling Through Genetic Algorithms. 200-206 - Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral:
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving. 207-214 - Sai Rithvick Mandumula, Jungme Park, Ritwik Prasad Asolkar, Karthik Somashekar:
Multi-Sensor Object Detection System for Real-Time Inferencing in ADAS. 215-220 - Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner:
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach. 221-227 - Malin Radtke, Christoph Stucke, Malte Trauernicht, Carsten Montag, Frauke Oest, Emilie Frost, Jörg Bremer, Sebastian Lehnhoff:
Integrating Agent-Based Control for Normal Operation in Interconnected Power and Communication Systems Simulation. 228-233 - Anuvab Sen, Arul Rhik Mazumder, Udayon Sen:
Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting. 234-239 - Wenbing Zhao, Quan Qi, Jiong Zhou, Xiong Luo:
Industry-Led Blockchain Projects for Smart Grids: An In-Depth Inspection. 240-245 - Michael Walters, John Yonce, Ganesh K. Venayagamoorthy:
Data-Driven Digital Twins for Power Estimations of a Solar Photovoltaic Plant. 246-251 - Deborah George, Ganesh K. Venayagamoorthy:
Digital Twins for Creating Virtual Models of Solar Photovoltaic Plants. 252-257 - Ranju Mandal, Brijesh K. Verma:
Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation. 258-263 - Yan Gong, Georgina Cosma, Axel Finke:
Neural-Based Cross-Modal Search and Retrieval of Artwork. 264-269 - Hao Luo, Shaoyi Du, Zhiqiang Tian:
Return of Small-Scale Crowd Counting via Fast and Accurate Semi-Supervised Least Squares Model. 270-275 - Zhiyu Zhang, Liangjie Dong, Hao Luo, Zhiqiang Tian:
A Self-Supervised Few-Shot Detection Method for Magnetic Tile Defects Detection. 276-281 - Laritza Pérez-Enríquez, Saúl Zapotecas Martínez, Diego Oliva, Leopoldo Altamirano Robles:
Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement. 282-287 - Shane Harrigan, Sonya Coleman, Dermot Kerr, Justin Quinn, Kyle Madden, Leeanne Lindsay, Benn Henderson, Shammi Rahman:
Neuromorphic Event Alarm Time-Series Suppression. 288-293 - Shane Harrigan, Sonya Coleman, Dermot Kerr, Justin Quinn, Kyle Madden, Shuo Liu, Leeanne Lindsay:
Quantifying Temporal Entropy in Neuromorphic Memory Forgetting: Exploring Advanced Forgetting Models for Robust Long-Term Information Storage. 294-299 - Ximing Dong, Olive Huang, Parimala Thulasiraman, Aniket Mahanti:
Improved Knowledge Distillation via Teacher Assistants for Sentiment Analysis. 300-305 - Yi Li, Plamen Angelov, Neeraj Suri:
Fuzzy Detectors Against Adversarial Attacks. 306-311 - Mingyang Li, Yue Ma, Qinru Qiu:
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. 312-317 - Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa:
Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. 318-322 - Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. 323-328 - Jin Ozeki, Yoshitaka Sakurai, Yuna Terada:
Opinion Classifier Transfer Learning from Review Data. 329-334 - Urban Skvorc, Tome Eftimov, Peter Korosec:
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. 335-340 - Gasper Petelin, Gjorgjina Cenikj:
How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms? 341-346 - Mahzabeen Emu, Md Yeakub Hassan, Zubair Md Fadlullah, Salimur Choudhury:
Algorithm Package of AI-Driven SDN Controller-Switch Load Balancing Strategies. 347-354 - Braden N. Tisdale, Daniel R. Tauritz:
Breaking the Cycle: Exploring the Advantages of Novel Evolutionary Cycles. 355-360 - Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann:
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. 361-368 - Mustafa Misir:
Characterization of CEC Single-Objective Optimization Competition Benchmarks and Algorithms. 369-374 - Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das:
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies. 375-380 - Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas:
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. 381-386 - George Rayment, Michael Kampouridis:
High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework. 387-394 - Golnaz Sababipour ASL, Kiarash Shamsi, Ruppa K. Thulasiram, Cuneyt Gurcan Akcora, Carson K. Leung:
Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model. 395-400 - Rui Jorge Almeida, Nalan Bastürk, Paulo Rodrigues:
Portfolio Return Maximization using Robust Optimization and Directional Changes. 401-406 - Zaffar Zaffar, Fahad Sohrab, Juho Kanniainen, Moncef Gabbouj:
Credit Card Fraud Detection with Subspace Learning-based One-Class Classification. 407-412 - Daniel Dobos, Truong Dang, Tien Thanh Nguyen, John McCall, Allan Wilson, Helen Corbett, Phil Stockton:
A Weighted Ensemble of Regression Methods for Gross Error Identification Problem. 413-420 - Sean Pierce, Herbert H. Tsang:
Enhancing Conducting Gesture Analysis: Integrating Laban Movement Analysis with Tree Ensembles and Neural Networks. 421-426 - Sumaiya Deen Muhammad, Ziad Kobti:
An Ensemble Deep Learning Approach for Enhanced Classification of Pituitary Tumors. 427-432 - Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi:
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. 433-440 - Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi:
Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets. 441-448 - Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi:
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation. 449-456 - Xuwei Zhang, Ziyan Zhao, Shixin Liu:
Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling. 457-462 - Julian Petzold, Mostafa Wahby, Youssef Ziad, Mostafa ElSheikh, Ahmed Dawood, Mladen Berekovic, Heiko Hamann:
Protecting Vulnerable Road Users: Semantic Video Analysis for Accident Prediction. 463-469 - Haiyue Zhu, Qingda Chen, Jinliang Ding, Xingyi Zhang, Hongfeng Wang:
Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm. 470-475 - Kexuan Xu, Qiang Liu:
Long and Short-Term Memory Mechanism Hybrid Model for Speed Trajectory Prediction of Heavy Haul Trains. 476-481 - Ziyan Zhao, Zikuo Bian, Chenglong Wang, Kun Zou, Shixin Liu:
Energy-efficient Hot-rolling Scheduling of High-quality Steel Products. 482-487 - Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner:
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving. 488-495 - Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. 496-500 - Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. 501-505 - Jasper Behrensdorf, Matteo Broggi, Michael Beer:
Imprecise Survival Signature Approximation Using Interval Predictor Models. 506-511 - Nikos Kougiatsos, Jesper Zwaginga, Jeroen Pruyn, Vasso Reppa:
Semantically Enhanced System and Automation Design of Complex Marine Vessels. 512-518 - Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins:
ForestMonkey: Toolkit for Reasoning with AI-Based Defect Detection and Classification Models. 519-524 - Patrick Hoffmann, Kirill Gorelik, Valentin Ivanov:
Applicability Study of Model-Free Reinforcement Learning Towards an Automated Design Space Exploration Framework. 525-532 - Masato Igarashi, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Adamo Santana, Tetsuro Matsui:
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion. 533-538 - Amin Avan, Farnaz Kheiri, Qusay H. Mahmoud, Akramul Azim, Masoud Makrehchi, Shahryar Rahnamayan:
A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. 539-546 - Anik Islam, Hadis Karimipour:
A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities. 547-552 - M. Tallal Farooq, Martin Leipert, Andreas Maier, Vincent Christlein:
Ressource-Efficient Moth Detection for Pest Monitoring with YOLOv5. 553-558 - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. 559-564 - Ryusei Katagiri, Yoshikazu Fukuyama, Shuhei Kawaguchi, Kenjiro Takahashi, Takaomi Sato:
Optimal Production Scheduling by Integer Form of Population-Based Incremental Learning with Initial Probability Matrix Setting Methods and a Practical Production Simulator. 565-572 - Anikeit Sethi, Krishanu Saini, Rituraj Singh, Sumeet Saurav, Aruna Tiwari, Sanjay Singh, Vikas Chauhan:
Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining. 573-578 - Hussain Alibrahim, Simone A. Ludwig:
Image Forgery Detection Algorithm Using Particle Swarm Optimization. 579-586 - Béla J. Szekeres, Natabara Máté Gyöngyössy, János Botzheim:
A ResNet-9 Model for Insect Wingbeat Sound Classification. 587-592 - Saúl Martínez-Díaz:
Monocular Vision for 3D Distance Computation in Augmented Reality Applications. 593-597 - Emmanouil Mpampis, Nikolaos Passalis, Anastasios Tefas:
Symmetric Fine-Tuning for Improving Few-Shot Object Detection. 598-602 - Jiarui Li, Ran Ji, Cheng'ao Li, Xiaoying Yang, Jiayi Li, Yiran Li, Xihan Xiong, Yutong Fang, Shusheng Ding, Tianxiang Cui:
Prediction of Flight Arrival Delay Time Using U.S. Bureau of Transportation Statistics. 603-608 - Svetlana Pavlitska, Hannes Grolig, J. Marius Zoellner:
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence. 671-676 - Gideon Woo, Faith Tan, Herbert H. Tsang:
Enhancing Gesture Recognition for Musical Conducting: A Study on Diverse Data Classification and Stacked Neural Network Architectures. 677-682 - Tatsuhiro Shimizu:
Diffusion Model in Causal Inference with Unmeasured Confounders. 683-688 - Adrian Köring, Christoph Steup:
PyramidEnsemble: Joining Large and Small Models. 689-694 - Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet:
Disentangled (Un)Controllable Features. 695-702 - André Artelt, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer:
Unsupervised Unlearning of Concept Drift with Autoencoders. 703-710 - Jose Junior De Oliveira Silva, Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos:
Stock Price Movement Prediction based on Optimized Traditional Machine Learning Models. 711-716 - Silas Garrido Teixeira de Carvalho Santos, Danilo Rafael de Lima Cabral, Roberto Souto Maior de Barros:
Features and Classes Drift Detector to Deal with Imbalanced Data Streams. 717-722 - Baowen Xu, Xuelei Wang, Chengbao Liu, Shuo Li:
Fourier U-Shaped Network for Multi-Variate Time Series Forecasting. 723-729 - José Luis Martínez Pérez, Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos:
Experimenting with Supervised Drift Detectors in Semi-supervised Learning. 730-735 - Rodica Ioana Lung, Mihai Alexandru Suciu:
A Game Theoretic Based K-Nearest Neighbor Approach for Binary Classification. 736-740 - Abeer A. Badawi, Samira Choudhury, Khalid Elgazzar, Amer M. Burhan:
Artificial Intelligence and Features Investigating to Detect Neuropsychiatric Symptoms in Patients with Dementia: A Pilot Study. 741-746 - Georgiy R. Minasyan, Martha Jane Chatten, Daniel P. Lindoerfer, Adam J. Schuman, Dale R. Tyczka:
Smart Camera-Based Patient-Specific Seizure Detection. 747-752 - Wenbing Zhao, Jinsai Cheng, Tao Shen, Xiong Luo:
Towards a Safety Culture in Workplaces: Intelligent Rest Breaks and Social Support. 753-758 - Philip Ciunkiewicz, Svetlana N. Yanushkevich:
Decision Support Component for the Localized Epidemiological Modelling of COVID-19. 759-764 - Juan Manuel Sancho, Jônata Tyska Carvalho:
On the Impact of ECG Data Quality for Arrhythmia Detection Using Convolutional Neural Networks and Wearable Devices. 765-771 - Filip Malawski, Ksawery Kapela, Marek Krupa:
Synchronization of External Inertial Sensors and Built-in Camera on Mobile Devices. 772-777 - Huashi Zhao, Yubin He, Shouyu Liang, Huafeng Zhou, Huijie Gu, Yingchen Li, Qiujia Fu:
A Novel Population Optimizer for Unit Scheduling Problems in Power Systems. 778-782 - Fernando Lezama, José Almeida, João P. Soares, Zita Vale:
Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field. 783-788 - Fernando Lezama, José Almeida, João P. Soares, Bruno Canizes, Zita Vale:
Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain. 789-794 - Wenlei Bai, Wen Zhang, Fanlin Meng, Richard Allmendinger, Kwang Y. Lee:
Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms. 795-800 - Roberto Santana, Irati Prol-Godoy, Ana Picallo-Pérez, Iñaki Inza:
Evolved Neural Networks for Building Energy Prediction. 801-806 - Vida Gharavian, Rasa Khosrowshahli, Qusay H. Mahmoud, Masoud Makrehchi, Shahryar Rahnamayan:
Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks. 807-813 - Luigi Perotti Souza, Edison Pignaton de Freitas, Raul Ceretta Nunes, Luís A. Lima Silva:
Multi-Agent Pathfinding with Obstacle Movement for Realistic Virtual Tactical Simulations on Topographic Terrains. 814-821 - Bruno Henrique Meyer, Aurora T. R. Pozo, Michele Nogueira, Wagner M. Nunan Zola:
Federated Self-Supervised Learning for Intrusion Detection. 822-828 - Mustafa Atay, Megh Poudyel, Saul Evora:
Evaluation of Gender Bias in Masked Face Recognition with Deep Learning Models. 829-835 - Robert Feldhans, Alexander Schulz, Johannes Kummert, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer:
Data Augmentation for Cardiovascular Time Series Data Using WaveNet. 836-841 - Gustavo Lameirão de Lima, Marilton Sanchotene de Aguiar:
Exploring Heterogeneous Open Multi-Agent Systems on Cloud Using a Docker-Based Architecture. 842-849 - Stefan Machmeier, Maximilian Hoecker, Vincent Heuveline:
Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning. 850-855 - Arihant Singh, Kaushik Roy:
BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems. 856-861 - Kavitha Kunku, ANK Zaman, Kaushik Roy:
Ransomware Detection and Classification using Machine Learning. 862-866 - Rakib Hossain Rifat, Sunzida Siddique, Laxmi Rani Das, Mohd Ariful Haque:
Facial Shape-Based Eyeglass Recommendation Using Convolutional Neural Networks. 867-872 - Sunzida Siddique, Mohd Ariful Haque, Rakib Hossain Rifat, Roy George, Khalil Shujaee, Kishor Datta Gupta:
Cyber Security Issues in the Industrial Applications of Digital Twins. 873-878 - Narges Babadi, Hadis Karimipour, Anik Islam:
An Ensemble Learning to Detect Decision-Based Adversarial Attacks in Industrial Control Systems. 879-884 - Guillermo Puriel-Gil, Xiaoou Li, Brisbane Ovilla-Martinez, Wen Yu:
Robot PID Control Using Reinforcement Learning. 885-890 - Zhengsong Jiang, Guohui Tian, Yongcheng Cui, Tiantian Liu, Yu Gu, Yifei Wang:
Digital Twin System for Home Service Robot Based on Motion Simulation. 891-896 - Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas:
Deep Active Perception for Object Detection using Navigation Proposals. 897-901 - Hao Wu, Zhixian Zhao, Qing Ma, Guohui Tian:
A Knowledge Acquisition Framework for Autonomous Decision Making in Service Robots. 902-907 - Haibin Zhu, Behzad Akbari, Lucas Wan, Ya-Jun Pan:
Hybrid Human/Robot Team Establishment using E-CARGO and Role-Based Collaboration. 908-913 - Yang-Tao Dai, Xiao-Fang Liu, Zhi-Hui Zhan, Jinghui Zhong, Jun Zhang:
Adaptive Geodesic Flow Kernel Transfer for Many-Task Optimization. 914-919 - Qi-Te Yang, Liu-Yue Luo, Xin-Xin Xu, Chun-Hua Chen, Hua Wang, Jun Zhang, Zhi-Hui Zhan:
Conjugate Surrogate for Expensive Multiobjective Optimization. 920-925 - Jiawei Chen, Lei He, Yingwu Chen:
Improved Evolutionary Strategies for Sparse Large-Scale Many-objective Optimization Problems. 926-932 - Jinyuan Zhang, Hisao Ishibuchi, Linjun He, Yang Nan:
Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms. 933-940 - Yiteng Xu, Handing Wang:
Offline Data-Driven Mixed-Variable Optimization Algorithm Using a Step-Wise Strategy. 941-946 - Melike D. Karatas, Marc Goodfellow, Jonathan E. Fieldsend:
Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations. 947-952 - Meng Gao, Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang:
A Clustering-Based Support Vector Classifier for Dynamic Time-Linkage Optimization. 953-958 - Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach. 959-964 - Sevda Ebrahimi, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Opposition-Based Crossover Operation for Differential Evolution Algorithm. 965-971 - Cheng He, Hongbin Li, Jianqing Lin, Zhichao Lu:
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization. 972-978 - Ping Guo:
Interpreting Restricted Boltzmann Machines from Optics Theory Perspectives. 979-984 - Jiang Qiu, Yi Liu, Yilan Yu, Wei Li:
Graph Convolutional Network Based Ant Colony Optimization for Robot Task Allocation. 985-991 - Tatsuhiro Shimizu, Laura Forastiere:
Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces. 992-997 - Jun Hong, Lin Shi, Ke-Jing Du, Chun-Hua Chen, Hua Wang, Jun Zhang, Zhi-Hui Zhan:
A Multi-Population Genetic Algorithm for Multiobjective Recommendation System. 998-1003 - Jonathan Jakob, Martina Hasenjäger, Barbara Hammer:
Incremental Human Gait Prediction without Catastrophic Forgetting. 1004-1011 - Mitra Mirshafee, Ann Barcomb, Benjamin Tan:
Advancing Smart Cities Through Novel Social Media Text Analysis: A Case Study of Calgary. 1012-1017 - Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha:
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. 1018-1023 - Connor Leyden, Bruce Chen, Aadi Chauhan, Scott Au-Yeung, Mehmet Colak:
Predicting Merger and Acquisition Deal Completion and Stock Movement with Stance Detection. 1024-1031 - Kenneth Lai, Mohammed Almekhlafi, Svetlana N. Yanushkevich:
After-Stroke Arm Paresis Detection Using Kinematic Data. 1032-1037 - Jonah Bensen, Cheol-Hong Min:
Bruxism: Teeth Grinding Time-Series Episode Detection Through Wearable Sensors. 1038-1042 - Melissa N. Melaugh, Sonya Coleman, Dermot Kerr:
A Computational Approach to Uncertainty in DNA Sequences. 1043-1048 - Alejandro Pescador-Salas, Ernesto Olguín Díaz, Juan Pablo Rosales-Huie, Dulce Martinez-Peon:
Hand Inertial Parameters Calculation for any Position Through the Kinematic Model. 1049-1053 - Marcos Pérez-Espinoza, Dulce Martinez-Peon, J. Fernando Góngora Rivera, Xóchitl A. Ortiz-Jiménez, Michelle Contró Esparza, Juan Maldonado-Jauregui, Isaac Tinoco-Ramírez, Francisco Castillo-Herrera, Hector Estrada-Cortez:
EMG Classification of Hand and Wrist Force Tasks Using Fractal Algorithms. 1054-1059 - Karla Michelle Márquez Ruiz, Pilar Pineda Cervantes, Carlos Villa, Lourdes Martínez-Villaseñor, Hiram Ponce, Ari Yair Barrera-Animas:
Multimodal Gait Analysis Acquisition System: Challenges and Lessons Learned. 1060-1065 - Oliver Weissl, A. E. Eiben:
Morphological-Novelty in Modular Robot Evolution. 1066-1071 - Aart C. Stuurman, Anil Yaman, A. E. Eiben:
An Approach to Representation Learning in Morphological Robot Evolution. 1072-1077 - Edgar Buchanan, Rahul Dubey, Simon J. Hickinbotham, Imelda Friel, Andrew R. Colligan, Mark Price, Andy M. Tyrrell:
Investigation of starting conditions in generative processes for the design of engineering structures. 1078-1083 - Simon J. Hickinbotham, Rahul Dubey, Edgar Buchanan, Imelda Friel, Andrew R. Colligan, Mark Price, Andy M. Tyrrell:
Theory of Evolutionary Systems Engineering. 1084-1089 - Dimitri Kachler, Karine Miras:
Open-Endedness Induced Through a Predator-Prey Scenario Using Modular Robots. 1090-1095 - John C. Gallagher, Michael W. Oppenheimer, Eric T. Matson:
Crowding and Mutation Improvements in an EA for Flight Control Correction in a Flapping-Wing Vehicle. 1096-1103 - Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Axel Finke, Jason Watkins:
Morphological Image Analysis and Feature Extraction for Reasoning with AI-Based Defect Detection and Classification Models. 1104-1111 - David Heise, Helen L. Bear:
Evaluating the Potential and Realized Impact of Data Augmentations. 1112-1119 - Hamidreza Rouzegar, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. 1120-1125 - Zili Luo, Farhana H. Zulkernine:
An Intelligent Email Classification System. 1126-1131 - Adriana Fasino, Emrecan Ozdogan, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar:
Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification. 1132-1138 - Elyas Rashno, Mahdieh Safarzadehvahed, Farhana H. Zulkernine, Sidney Givigi:
Image Caption Generation Based on Image-Text Matching Schema in Deep Reinforcement Learning. 1139-1144 - Alexander Williams, Arunava Roy, Dipankar Dasgupta:
A Distributed Multi-User Access Control Middleware for Critical Applications. 1145-1150 - Elnaz Limouchi, François Chan:
Optimized Machine Learning-Based Intrusion Detection System for Internet of Vehicles. 1151-1157 - Sunzida Siddique, Mohd Ariful Haque, Rakib Hossain Rifat, Laxmi Rani Das, Sajedul Talukder, Syed Bahauddin Alam, Kishor Datta Gupta:
Challenges and Opportunities of Computational Intelligence in Industrial Control System (ICS). 1158-1163 - Nafiz Sadman, Kazi Amit Hasan, Elyas Rashno, Furkan Alaca, Yuan Tian, Farhana H. Zulkernine:
Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace. 1164-1169 - Bassey Ude, Olusola Tolulope Odeyomi, Kaushik Roy, Xiaohong Yuan:
A Survey on Bias Mitigation in Federated Learning. 1170-1175 - Jake Guidry, Fahad Sohrab, Raju Gottumukkala, Satya Katragadda, Moncef Gabbouj:
One-Class Classification for Intrusion Detection on Vehicular Networks. 1176-1182 - Daniel Werner, Fatma Turna, Hoang Thanh Le, Martin Middendorf:
XF-OPT/META: A Hyperparameter Optimization Framework Applied to the H -SPPBO Metaheuristic for the Dynamic TSP. 1183-1188 - Daniel H. Von Eschwege, Andries P. Engelbrecht:
A Cautionary Note on Poli's Stability Condition for Particle Swarm Optimization. 1189-1194 - Kei Ohnishi, Yusuke Kumano:
Framework of Systems for Creating Intelligent Behaviors of Imaginary Creatures for Humans. 1195-1200 - Kaho Hayashi, Kei Ohnishi:
Swarm Intelligence Numerical Optimization Algorithm Representing Individuals as Dynamic Graphs in the Euclidean Search Space. 1201-1207 - Fabiana Souza da Fonte Alexandria, Fernando Buarque de Lima Neto:
Weight Binary Fish School Search Algorithm for Feature Selection. 1208-1212 - Giada Simionato, Marco Parola, Mario G. C. A. Cimino:
Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception. 1213-1220 - Haocheng Yuan, Xinan Chen, Junsong Zhu, Ruibin Bai:
A Simulation Hyper-Heuristic Method for Multi-Floor AGV Delivery Services in Hospitals. 1221-1226 - Kazi Shah Nawaz Ripon, Ashay Singh:
Quantum Representation Based Job Shop Scheduling. 1227-1233 - Esra Çakir:
Neutrosophic Fuzzy Selected Element Reduction Approach (NF-SERA): Assessment of E-Scooter Parking Area. 1234-1238 - Elyas Fadakar:
Multimodal Multi-Objective Football Game Algorithm for Optimizing Test Task Scheduling Problems. 1239-1244 - Raka Jovanovic:
Fixed Set Search Applied to the Maximum Set K-Covering Problem. 1245-1250 - Saketh Innani, Pawan Chinnari, Soumen Sinha, Mehek Khan, Neha Bharill, Om Prakash Patel:
A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification. 1251-1256 - Bogdan Lazar, Zsófia Lendek:
Sliding Mode Observer Based Fuzzy Control for TS Systems. 1257-1262 - Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Juan Gabriel Aviña-Cervantes, Rodrigo Correa, Jorge M. Cruz-Duarte:
Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach. 1263-1268 - Eduardo Yudho, Xiaoou Li, Brisbane Ovilla-Martínez, Wen Yu:
Model-Free Optimal Control Based on Reinforcement Learning for Rotary Inverted Pendulum. 1269-1273 - Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya:
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems. 1274-1279 - Iván Salgado, Manuel Mera, Héctor Ríos, Mariana Ballesteros:
Constrained Neuro-Identifier for Controlling the Unicycle Mobile Robot. 1280-1285 - Danil Chernozubov, Arthur Mukhamedov, Grigory Bugriy, Viktor Chertopolokhov, Isaac Chairez:
Dynamic Neural Network with Guaranteed Sensitivity to External Influences. 1286-1291 - Johannes Kummert, Alexander Schulz, Robert Feldhans, Moriz Habigt, Maike Stemmler, Christina Kohler, Dirk Abel, Rolf Rossaint, Barbara Hammer:
Generating Cardiovascular Data to Improve Training of Assistive Heart Devices. 1292-1297 - Willem S. van Heerden:
Automatic Distance-Based Interpolating Unit Detection and Pruning in Self-Organizing Maps. 1298-1303 - Nasim Sadat Mosavi, Manuel Filipe Santos:
Unveiling Precision Medicine with Data Mining: Discovering Patient Subgroups and Patterns. 1304-1309 - Daniel Henel, Aleksander Mazur, Marcin Retajczyk, Weronika T. Adrian, Krzysztof Kluza, Adrian Horzyk:
Neural Network for Musical Data Mining for Phrase Boundary Detection. 1310-1315 - Sirvan Parasteh, Samira Sadaoui, Mohammad Sadegh Khosravani:
Detection of Real Concept Drift Under Noisy Data Stream. 1316-1321 - Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi:
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. 1322-1327 - Noushath Shaffi, Viswan Vimbi, Mufti Mahmud, Faizal Hajamohideen, Karthikeyan Subramanian:
Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data. 1328-1333 - Viswan Vimbi, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen:
A Comparative Study of Pretrained Deep Neural Networks for Classifying Alzheimer's and Parkinson's Disease. 1334-1339 - Kevin Alejandro Orozco Villanueva, Miguel Richter, Carlos Villa, Lourdes Martínez-Villaseñor, Hiram Ponce, Ari Yair Barrera-Animas:
Insole Design and Optimization Processes for Gait Analysis. 1340-1345 - Javier Del Ser, Alain Andres, Miren Nekane Bilbao, Ibai Laña, Jesus L. Lobo:
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks. 1346-1351 - Natalya Weber, Werner Koch, Ozan Erdem, Tom Froese:
On the Use of Associative Memory in Hopfield Networks Designed to Solve Propositional Satisfiability Problems. 1352-1358 - Hongtao Ling, Jinghui Zhong, Junlan Dong, Shanxia Wang, Shibin Wang, Qin Zhang:
An Adaptive Multiform Evolutionary Algorithm for Global Continuous Optimization. 1359-1365 - Agustín Solís Winkler, Asdrúbal López-Chau, Santiago Osnaya Baltierra:
Results on the Empirical Design of a Residual Binary Multilayer Perceptron Architecture. 1366-1370 - Fahad Sohrab, Firas Laakom, Moncef Gabbouj:
Newton Method-Based Subspace Support Vector Data Description. 1372-1379 - Günter Rudolph:
Runtime Analysis of (1+1)-EA on a Biobjective Test Function in Unbounded Integer Search Space. 1380-1385 - Tobias Benecke, Sanaz Mostaghim:
Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms. 1386-1391 - Michael Dubé, Kevin Olenic, Sheridan K. Houghten:
What Drives Evolution of Self-Driving Automata? 1392-1397 - Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. 1398-1405 - Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal:
Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification. 1406-1413 - Alain Andres, Daochen Zha, Javier Del Ser:
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. 1414-1420 - Rachel Haighton, Amirhossein Asgharnia, Howard Schwartz, Sidney Givigi:
Hierarchical Reinforcement Learning for Non-Stationary Environments. 1421-1428 - Mohamed-Harith Ibrahim, Stéphane Lecoeuche, Jacques Boonaert, Mireille Batton-Hubert:
Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning. 1429-1434 - Radu Stoican, Angelo Cangelosi, Thomas H. Weisswange:
MEWA: A Benchmark For Meta-Learning in Collaborative Working Agents. 1435-1442 - Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Emmanuel Ovalle-Magallanes, Iván Amaya, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes, Jorge M. Cruz-Duarte:
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. 1443-1448 - Yoqsan Angeles-García, Valeria Karina Legaria-Santiago, Álvaro Anzueto-Ríos, Hiram Calvo:
Optimizing Strategy Games: Ant Colony Optimization vs. Minimax Algorithm. 1449-1454 - Fernando Aguilar-Canto, Hiram Calvo:
Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning. 1455-1460 - Gerardo Lugo-Torres, Diego A. Peralta-Rodríguez, José E. Valdez Rodríguez, Hiram Calvo:
Enhancing Document Digitization: Image Denoising with a Cycle Generative Adversarial Network. 1461-1466 - Emmanuel Castro, Hiram Calvo, Olga Kolesnikova, Citlali Castro:
Analysis of Emotions in Speech Acts for Chatbots: An Overview and a Model Proposal. 1467-1471 - Marco A. Cardoso-Moreno, Cesar Macias, Tania Alcántara, Miguel Soto, Hiram Calvo, Cornelio Yáñez-Márquez:
Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition. 1472-1476 - Anirudh Suresh, Kalyanmoy Deb:
On the Choice of Unique Identifiers for Predicting Pareto-Optimal Solutions Using Machine Learning. 1479-1484 - Julia Reuter, Pravin Pandey, Sanaz Mostaghim:
Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere. 1485-1490 - Amy Peerlinck, John Sheppard:
Managing Objective Archives for Solution Set Reduction in Many-Objective Optimization. 1491-1496 - Juan Carlos González-Quesada, Ignacio Javier Pérez, Juan Antonio Morente-Molinera, Sergio Alonso, Enrique Herrera-Viedma, Francisco Javier Cabrerizo:
Analyzing Different Protocols of Information Granularity Distribution to Improve Consistency of Fuzzy Preference Relations in Decision-Making. 1497-1502 - Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi:
Ensemble R2-based Hypervolume Contribution Approximation. 1503-1510 - Rounak Saha Niloy, Hemant Kumar Singh, Tapabrata Ray:
A Brief Review of Multi-Concept Multi-Objective Optimization Problems. 1511-1517 - Jie Luo, Jakub M. Tomczak, Karine Miras, Ágoston E. Eiben:
A Comparison of Controller Architectures and Learning Mechanisms for Arbitrary Robot Morphologies. 1518-1525 - Scott Hallauer, Geoff Nitschke, Emma Hart:
Evolving Behavior Allocations in Robot Swarms. 1526-1531 - Paulo Vitor de Campos Souza:
Knowledge Extraction About Beer Classification Using Evolving Fuzzy Neural Networks. 1532-1539 - Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. 1540-1546 - Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. 1547-1552 - Xiangkai Yang, Wenjian Luo, Qi Zhou, Zhijian Chen:
Training Data Leakage via Imperceptible Backdoor Attack. 1553-1559 - Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller:
Classification Using Deep Transfer Learning on Structured Healthcare Data. 1560-1565 - Elaine Zaunseder, Ulrike Mütze, Sven F. Garbade, Saskia Haupt, Stefan Kölker, Vincent Heuveline:
Deep Learning and Explainable Artificial Intelligence for Improving Specificity and Detecting Metabolic Patterns in Newborn Screening. 1566-1571 - Marco Parola, Gaetano La Mantia, Federico A. Galatolo, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede:
Image-Based Screening of Oral Cancer via Deep Ensemble Architecture. 1572-1578 - Shuhei Kimura, Hirotaka Kitajima, Masato Tokuhisa, Mariko Okada:
Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests. 1579-1586 - Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza:
Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions. 1587-1592 - Alejandro Lopez Rincon, David Rojas-Velazquez, Johan Garssen, Sander W. Van der Laan, Daniel L. Oberski, Alberto Tonda:
Bayesian Optimization for the Inverse Problem in Electrocardiography. 1593-1598 - Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas:
Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. 1599-1602 - Li Fei, Chu Kiong Loo, Wei Shiung Liew, Xiaofeng Liu:
FedLoop: A P2P Personalized Federated Learning Method on Heterogeneous Data. 1603-1606 - Alma Y. Alanis, Jesus G. Alvarez, Oscar D. Sánchez, Pavel Zuniga, Gustavo Munoz-Gomez:
Real-Time Neural Control for Discrete Nonlinear Systems Under Unknown Input and State Disturbances. 1607-1612 - Elnaz Limouchi, François Chan:
Intelligent Backoff Management Scheme Applying Adaptive Neuro-Fuzzy Inference System in Vehicular Ad-hoc Networks. 1613-1619 - Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner:
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. 1620-1625 - Rafael Rojas-Hernández, Asdrúbal López-Chau, David Valle-Cruz, Valentín Trujillo-Mora, Elvira Ivone González-Jaimes:
Construction of Domain-Specific Lexicons Based on Term Statistics. 1626-1631 - Alexander G. Lain, Ali M. S. Zalzala:
A Transfer Learning Approach to Cross-Domain Author Profiling. 1632-1637 - Kenneth Lai, Svetlana N. Yanushkevich, Vlad P. Shmerko:
Intelligent Stress Assessment for e-Coaching. 1638-1643 - Kenneth Lai, Svetlana N. Yanushkevich:
Causal Models Applied to the Patterns of Human Migration due to Climate Change. 1644-1649 - Olha Shaposhnyk, Svetlana N. Yanushkevich:
Integration of Structural Equation Models and Bayesian Networks for Cognitive Load Modeling. 1650-1655 - Daria Zahorska, Vitalii Babenko, Maksym Chernykh, Ievgen Nastenko, Olha Shaposhnyk, Svetlana N. Yanushkevich:
Unraveling Body Vitals as Traumatic Event-Caused Stress Indicators. 1656-1661 - Illia Yankovyi, Olha Shaposhnyk, Svetlana N. Yanushkevich, MacKenzie Horn, Mohammed Almekhlafi:
Computational Intelligence Driven Motor Function Assessment in Post-Stroke Patients. 1662-1667 - Carlos Joel Tavares da Silva, Célia Ghedini Ralha:
Multi-Robot System Architecture Focusing on Plan Recovery for Dynamic Environments. 1668-1673 - Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing:
Learning Control Policies for Variable Objectives from Offline Data. 1674-1681 - Peash Ranjan Saha, Salimur Choudhury, Kai Salomaa:
Balancing Matching of Two-Sided Agents with Adaptive and Fair Instability. 1682-1689 - Brandon Gower-Winter, Geoff Nitschke:
Using Graph Theory to Produce Emergent Behaviour in Agent-Based Systems. 1690-1695 - Mirgita Frasheri, Branko Miloradovic, Lukas Esterle, Alessandro V. Papadopoulos:
GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem. 1696-1703 - Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. 1704-1711 - Alma Y. Alanis, Oscar D. Sánchez, Alejandra Ibarra, Eduardo Mendez, Jorge D. Sanchez, Jorge Gálvez:
Online Neural-Detection of False Data Injection Attacks on Financial Time Series. 1712-1717 - Guillermo Pérez, Jesus Pacheco, Victor H. Benitez:
Anomaly Behavior Analysis for Sensors Fault Detection. 1718-1723 - Eduardo Rangel-Carrillo, Alma Y. Alanis:
Fault Identification of Discrete-time unknown Nonlinear Systems: A Two-dimensional Convolutional Neural Network Approach. 1724-1729 - V. Cardoso-Fernández, Luis J. Ricalde, Ali Bassam:
Computational Intelligence-Based Fault Detection in Refrigeration Systems: A Study on Enhancing System Reliability. 1730-1734 - Yiran Li, Jiayi Li, Xiaoying Yang, Cheng'ao Li, Xihan Xiong, Yutong Fang, Shusheng Ding, Tianxiang Cui:
Low-Cost Automated Visual Screw Inspection System. 1735-1740 - Ling-Chong Zhong, Wenfeng Li, Zecheng Zhou, Yongcui Li, Qiang Chen, Yaohui Liu:
The Integrated Scheduling for the Multi-Stage Transshipment System Considering AGVs and ETs. 1741-1746 - Cuijie Diao, Huiyun Yang, Wenmin Wang, Yuxin Gan, Zhihong Jin:
A Hybrid Approach Optimizing both Terminal Resource Configuration and External Truck Waiting Time under Truck Appointment System. 1747-1752 - Pengfei Yang, Lei Cai, Wenjing Guo, Wenfeng Li:
A Proactive-Reactive Approach for Dynamic Hybrid Berth Allocation Problem Considering Vessels Arrival Delay. 1753-1758 - Robert M. Baker, Thomas L. Polmateer, Megan C. Marcellin, T. Donna Chen, Robert J. Riggs, Tariq Iqbal, Daniel C. Hendrickson, David L. Slutzky, James H. Lambert:
Mixed-Integer Programming with Enterprise Risk Analysis for Vehicle Electrification at Maritime Container Ports. 1759-1766 - Pang Jin Tan, Shih-Fen Cheng, Richard Chen:
Designing Large-Scale Intelligent Collaborative Platform for Freight Forwarders. 1767-1772 - Muhammad Hamza Zafar, Filippo Sanfilippo, Tomas Blazauskas:
Harmony Unleashed: Exploring the Ethical and Philosophical Aspects of Machine Learning in Human-Robot Collaboration for Industry 5.0. 1775-1780 - Roxy Lawton, Sara Boswell, Keeley Crockett Smiee:
The GM AI Foundry: A Model for Upskilling SME's in Responsible AI. 1781-1787 - Even Falkenberg Langås, Muhammad Hamza Zafar, Filippo Sanfilippo:
Harnessing Digital Twins for Human-Robot Teaming in Industry 5.0: Exploring the Ethical and Philosophical Implications. 1788-1793 - Tuan Minh Hua, Even Falkenberg Langås, Muhammad Hamza Zafar, Filippo Sanfilippo:
From Rigid to Hybrid/Soft Robots: Exploration of Ethical and Philosophical Aspects in Shifting from Caged Robots to Human-Robot Teaming. 1794-1799 - Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter, DeAndre A. Johnson, James H. Lambert:
Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. 1800-1807 - Garrison W. Greenwood, Hussein A. Abbass, Aya Hussein:
Interpretation of Neural Network Players for a Generalized Divide the Dollar Game Using SHAP Values. 1808-1813 - Trevor Londt, Xiaoying Gao, Peter Andreae, Yi Mei:
A Two-Stage Hybrid GA-Cellular Encoding Approach to Neural Architecture Search. 1814-1820 - Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. 1821-1828 - Mwaura Jonathan, Heminway Ryan:
Connectivity Schemas in NeuroEvolution: What Neural Architectures does GEPNN evolve? 1829-1836 - Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell:
Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. 1837-1842 - Conor Fahy, Shengxiang Yang:
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency. 1843-1848
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