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ORCIDSSCI 2020: Canberra, Australia
- 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020. IEEE 2020, ISBN 978-1-7281-2547-3
- Nikolaos Passalis, Anastasios Tefas
:
Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. 1-8 - Robert Miller, Phil Maguire:
A rapidly updating stratified mix-adjusted median property price index model. 9-15 - Charl Maree, Jan Erik Modal, Christian W. Omlin:
Towards Responsible AI for Financial Transactions. 16-21 - Kazuaki Washimi:
Revisiting Determinants of Investor Sentiment in the FX Option Market by Machine Learning Approaches. 22-27 - Behrouz Banitalebi, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran:
Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand. 28-35 - Miriam Edith Pérez-Romero, Victor Gerardo Alfaro-Garcia, José M. Merigó, Martha Flores-Sosa:
Covariance in Ordered Weighted Logarithm Aggregation Operators. 36-41 - Wen Xu, Jing He, Yanfeng Shu:
DeepHealth: Deep Representation Learning with Autoencoders for Healthcare Prediction. 42-49 - Sea Jung Im, Yue Xu, Jason Watson, Ann Bonner, Helen Healy, Wendy Hoy:
Hospital Readmission Prediction using Discriminative patterns. 50-57 - Jiaxiang Mao, Dat Tran, Wanli Ma, Nenad Naumovski, Jane Kellett, Elisa Martínez Marroquín, Andrew Slattery:
Application of Deep Learning in Automated Meal Recognition. 58-63 - Yue Qu, Dat Tran, Elisa Martínez Marroquín:
Biogeographical Ancestry Inference from Genotype: A Comparison of Ancestral Informative SNPs and Genome-wide SNPs. 64-70 - Darshika N. Koggalahewa, Yue Xu, Ernest Foo:
Two-stage Unsupervised Approach for Combating Social Spammers. 71-78 - Dang Nguyen, Dat Tran, Dharmendra Sharma:
A Study on the Impact of Alcoholism on EEG-based Cryptographic Key Generation Systems. 79-85 - Claudia Szabo:
Perspectives of Final Year Students on Modeling and Analysis of Complex Systems and Their Properties. 86-93 - Kevin Godin-Dubois, Sylvain Cussat-Blanc, Yves Duthen:
Beneficial Catastrophes: Leveraging Abiotic Constraints through Environment-Driven Evolutionary Selection. 94-101 - Jan T. Kim, Daniel Polani:
Quantifying Sustainability in a System of Coupled Tipping Elements. 102-108 - Siyuan Guo, Soo Ling Lim, Peter J. Bentley:
Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork. 109-116 - Felipe S. P. Andrade, Claus Aranha, Ricardo da Silva Torres:
On the Use of Predation to Shape Evolutionary Computation. 117-124 - Ben Jackson, Alastair Channon:
A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance. 125-132 - Giovanni Misitano:
Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules. 133-140 - Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello:
Exploiting the Trade-off between Convergence and Diversity Indicators. 141-148 - Edgar Galván, Fergal Stapleton:
Semantic-based Distance Approaches in Multi-objective Genetic Programming. 149-156 - Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen:
Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants. 157-164 - Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich:
Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation. 165-172 - Henrik Smedberg, Sunith Bandaru:
Finding Influential Variables in Multi-Objective optimization Problems. 173-180 - Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Task Allocation for Wireless Sensor Networks. 181-188 - Diego Rincon-Yanez, Enza De Lauro, Mariarosaria Falanga, Sabrina Senatore, Simona Petrosino:
Towards a semantic model for IoT-based seismic event detection and classification. 189-196 - Guohun Zhu, Fangyan Dong, Nini Pang:
Classification of Indoor Environments Based on Mixed Graph Similarity using UWB Signals. 197-201 - Chandrasegar Thirumalai, Mahammad Shareef Mekala, Viswanathan Perumal, Rizwan Patan, Amir H. Gandomi:
Machine Learning Inspired Phishing Detection (PD) for Efficient Classification and Secure Storage Distribution (SSD) for Cloud-IoT Application. 202-210 - Amirhessam Tahmassebi, Jennifer Martin, Anke Meyer-Baese, Amir H. Gandomi:
An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals. 211-218 - Sankar Sennan, Somula Ramasubbareddy, Fang Chen, Amir H. Gandomi:
Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence. 219-224 - Geoffrey Cideron, Mathieu Seurin, Florian Strub, Olivier Pietquin:
HIGhER: Improving instruction following with Hindsight Generation for Experience Replay. 225-232 - Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao:
Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback. 233-240 - Aaron J. Snoswell, Surya P. N. Singh, Nan Ye:
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. 241-249 - Melike Ermis, Insoon Yang:
A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks. 250-257 - Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux:
Geometric deep reinforcement learning for dynamic DAG scheduling. 258-265 - Gordon Frost, Marta Vallejo:
The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms. 266-275 - Xiang-Zhi Meng, Hang Zhou, Xiao-Bing Hu:
Many-to-Many Path Planning for Emergency Material Transportation in Dynamic Environment. 276-280 - Hang Zhou, Xiao-Bing Hu:
A Ripple Spreading Algorithm for Free-Flight Route Optimization in Dynamical Airspace. 281-288 - Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann:
Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation. 289-296 - Daniel Herring, Michael Kirley, Xin Yao:
Responsive Multi-population Models for the Dynamic Travelling Thief Problem. 297-304 - Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. 305-312 - Iaê Santos Bonilha, Michalis Mavrovouniotis, Felipe Martins Müller, Georgios Ellinas, Marios M. Polycarpou:
Ant Colony optimization with Heuristic Repair for the Dynamic Vehicle Routing Problem. 313-320 - Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin:
Visualizing Parameter Adaptation in Differential Evolution with Expected Fitness Improvement. 321-328 - Bradley Wood, Viraj Patel, Shahryar Rahnamayan:
A Smart Scheme for Variable Selection in Partial Opposition-based Differential Evolution. 329-336 - Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation. 337-344 - Alexey Vakhnin, Evgenii Sopov:
Large-scale clustering using decomposition-based evolutionary algorithms. 345-352 - Noha M. Hamza, Ruhul A. Sarker, Daryl Essam:
Evolutionary Search from the Interior of Feasible Space. 353-359 - Vasileios A. Tatsis, Konstantinos E. Parsopoulos:
Reinforced Online Parameter Adaptation Method for Population-based Metaheuristics. 360-367 - Xiaoke Guan, Sen Kuang, Daoyi Dong:
PSO-assisted Lyapunov control design for quantum systems. 364-370 - Can Erten, Neel Chotai, Dimitar Kazakov:
Pair Trading with an Ontology of SEC Financial Reports. 368-375 - Manmohit Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran:
Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources. 376-383 - Yichen Zhu, Yang Chen, Adam Ghandar:
Evolving Neural Networks for Prediction with Negative Correlation Search: Application in Consumer Demand Forecasting. 384-391 - Dave Cliff, Michael Rollins:
Methods Matter: A Trading Agent with No Intelligence Routinely Outperforms AI-Based Traders. 392-399 - Takanobu Mizuta:
An agent-based model for designing a financial market that works well. 400-406 - Takanobu Mizuta:
Can an AI perform market manipulation at its own discretion? - A genetic algorithm learns in an artificial market simulation -. 407-412 - Alessandro Zonta, Selmar K. Smit, A. E. Eiben:
Towards a human-like movements generator based on environmental features. 413-420 - Yotaro Fuse, Masataka Tokumaru:
Investigation of a Human's Opinion Affected by Social Influence of a Group Norm in a Human-Robot Group After a Human-Robot Scenario. 421-426 - Ioanna Giorgi, Angelo Cangelosi, Giovanni Luca Masala:
A bilingual cognitive robot that learns like a toddler. 427-434 - Dawid Polap, Marcin Wozniak:
Collaborative learning with taboos for machine learning methods in big data problems. 435-441 - Seng-Beng Ho, Mark Edmonds, Song-Chun Zhu:
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics. 442-448 - Seng-Beng Ho, Xiwen Yang, Therese Quieta:
Achieving Human Expert Level Time Performance for Atari Games - A Causal Learning Approach. 449-456 - Fevzi Tugrul Varna, Phil Husbands:
BIS: A New Swarm-Based Optimisation Algorithm. 457-464 - Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar:
UAV path planning in the presence of static and dynamic obstacles. 465-472 - Fevzi Tugrul Varna, Phil Husbands:
HIDMS-PSO: A New Heterogeneous Improved Dynamic Multi-Swarm PSO Algorithm. 473-480 - Aldo Aguilar, Miguel Zea, Luis Alberto Rivera:
PSO Trajectory Planner Using Kinematic Controllers that Ensure Smooth Differential Robot Velocities. 481-488 - Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Automating the Design of Efficient Distributed Behaviours for a Swarm of UAVs. 489-496 - Palina Bartashevich, Doreen Koerte, Sanaz Mostaghim:
Impact of Communication Topology on PSO-based Swarms in Vector Fields. 497-504 - Lamprini Pappa, Petros S. Karvelis, George K. Georgoulas, Chrysostomos D. Stylios:
Multichannel Symbolic Aggregate Approximation Intelligent Icons: Application for Activity Recognition. 505-512 - Sujit Subhash, Tayo Obafemi-Ajayi, Dennis Goodman, Donald C. Wunsch II, Gayla R. Olbricht:
Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics. 513-520 - Amir Pourabdollah, Ahmad Lotfi:
Towards a Data-Driven Fuzzy-Geospatial Pandemic Modelling. 521-526 - U. Khyoi Nu, Tahar Touati, Srushti Buddhadev, Ruopeng Sun, Matthew Smuck, Isabel Hyo Jung Song:
Who is physically active? Classification and Analysis of Physical Activity using NHANES data. 527-533 - Salisu Wada Yahaya, Ahmad Lotfi, Mufti Mahmud:
Towards the Development of an Adaptive System for Detecting Anomaly in Human Activities. 534-541 - Md. Shafiqul Islam, Marwa K. Qaraqe, Samir B. Belhaouari:
Early Prediction of Hemoglobin Alc: A novel Framework for better Diabetes Management. 542-547 - Abbas Salami, Javier Andreu-Perez, Helge Gillmeister:
Towards Decoding of Depersonalisation Disorder Using EEG: A Time Series Analysis Using CDTW. 548-553 - Aishwarya Asesh:
Lifelike Neuromorphic Learning Networks (LNLN). 554-561 - Shih-Kang Chen, Chin-Sheng Chen, Yu-Kai Wang, Chin-Teng Lin:
An SSVEP Stimuli Design using Real-time Camera View with Object Recognition. 562-567 - Tien-Thong Nguyen Do, Avinash Kumar Singh, Carlos Alfredo Tirado Cortes, Chin-Teng Lin:
Estimating the cognitive load in physical spatial navigation. 568-575 - Sergio A. Cortez, Christian Flores Vega, Javier Andreu-Perez:
Improving Speller BCI performance using a cluster-based under-sampling method. 576-581 - Avinash Kumar Singh, Xian Tao:
BCINet: An Optimized Convolutional Neural Network for EEG-Based Brain-Computer Interface Applications. 582-587 - Pei-Yi Hao:
Asymmetric Dual Possibilistic Regression Model by using Pairing nu Support Vector Networks. 588-594 - Landi Zhoul, Ming Chenl, Qingjian Ni:
A hybrid Prophet-LSTM Model for Prediction of Air Quality Index. 595-601 - Yan Gao, Huilai Liang, Bao-Di Liu, Yanjiang Wang:
Action Detection Based on 3D Convolution Neural Network with Channel Attention Mechanism. 602-606 - Chunyu Du, Qiang Xing, Jinyan Zhang, Jun Wang, Bao-Di Liu, Yanjiang Wang:
Inpainting Electrical Logging Images Based on Deep CNN with Attention Mechanisms. 607-610 - Vsevolod Nikulin, Jun Tani:
Efficient decomposition of latent representation in generative models. 611-615 - Inti Mateus Resende Albuquerque, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. 616-623 - Kai Wu, Jing Liu:
Multi-objective Evolutionary Top Rank Optimization with Pareto Ensemble. 624-630 - Gabriela Suchopárová, Roman Neruda:
Genens: An AutoML System for Ensemble Optimization Based on Developmental Genetic Programming. 631-638 - Heng Liu, Gregory Ditzler:
Adversarial Audio Attacks that Evade Temporal Dependency. 639-646 - Ajit Narayanan, Koz Ross, Kenneth Johnson:
Zero-error rule induction using a memetic algorithm. 647-654 - Stuti Shekhar, Kaustubh Kartikey, Arti Arya:
Integrating Decision Trees with Metaheuristic Search Optimization Algorithm for a Student's Performance Prediction. 655-661 - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. 662-669 - Saikat Das, Namita Agarwal, Deepak Venugopal, Frederick T. Sheldon, Sajjan G. Shiva:
Taxonomy and Survey of Interpretable Machine Learning Method. 670-677 - Aneta Neumann, Frank Neumann:
Human Interactive EEG-Based Evolutionary Image Animation. 678-685 - Egor klementev, Arina Fedorovskaya, Farhad Hakimov, Hamna Aslam, Joseph Alexander Brown:
Monte Carlo Tree Search player for Mai- Star and Balance Evaluation. 686-691 - Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning. 692-699 - Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc:
Detection of driver maneuvers using evolving fuzzy cloud-based system. 700-706 - Chau Xuan Truong Du, Le Hoang Duong, Thanh Trung Huynh, Minh Tam Pham, Nguyen Quoc Viet Hung, Jun Jo:
Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection. 707-712 - Kevin Trebing, Siamak Mehrkanoon:
Wind speed prediction using multidimensional convolutional neural networks. 713-720 - Alex Sheng, Jun Yi Derek He:
Distributed Evolution Strategies Using TPUs for Meta-Learning. 721-728 - Davide Rigoni, Nicolò Navarin, Alessandro Sperduti:
Conditional Constrained Graph Variational Autoencoders for Molecule Design. 729-736 - Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund:
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey. 737-744 - Pedro João Rodrigues, Susana M. Vieira:
Optimizing Agent Training with Deep Q-Learning on a Self-Driving Reinforcement Learning Environment. 745-752 - Kaveena Persand, Andrew Anderson, David Gregg:
Composition of Saliency Metrics for Pruning with a Myopic Oracle. 753-759 - Dineshan Subramoney, Clement N. Nyirenda:
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments. 760-767 - Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser:
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs. 768-774 - Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr:
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. 775-782 - Ivars Dzalbs, Tatiana Kalganova:
Simple generate-evaluate strategy for tight-budget parameter tuning problems. 783-790 - Soheila Sadeghiram, Hui Ma, Gang Chen:
A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition. 791-797 - Qing Cai, Sameer Alam, Haojie Ang, Vu N. Duong:
A Braess's Paradox Inspired Method for Enhancing the Robustness of Air Traffic Networks. 798-805 - Caio Eduardo Ribeiro, Alex Alves Freitas:
A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. 806-813 - Wenwen Liu, Shiu Yin Yuen, Chi Wan Sung:
Composing Algorithm Portfolio with Problem Set of Unknown Distribution. 814-821 - Arturo Silva-Gálvez, Jorge Orozco-Sanchez, Erick Lara-Cárdenas, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín:
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics. 822-828 - Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan G. Shiva:
Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning. 829-835 - Simone A. Ludwig:
Multi-label Classification for Epileptic Seizure Recognition: Deep Neural Network Ensemble versus Choquet Fuzzy Integral Fusion. 836-841 - Catherine Cheung, Davis To, Julio J. Valdés:
Failure modeling in a gas turbine system: Combining classification with anomaly detection models for two data selection strategies. 842-849 - André Kempf, Markus Herrmann-Wicklmayr, Steffen Müller:
Robust Model Predictive Longitudinal Position Tracking Control for an Autonomous Vehicle Based on Multiple Models. 850-857 - Hongkai Wang, Yiyang Yao, Qitong Hou, Xiaoyi Wang, Lei Zeng, Weiwei Qiu, Dong He, Qiang Wang:
Design of Work Ticket System and Scheduling Algorithm based on Blockchain. 858-863 - Syamala Krishnannair:
Industrial Process Fault Detection Using Singular Spectrum Analysis and Kernel Principal Component Analysis. 871-875 - Peng Zhang, Qing Gao, Jinhu Lv, Daoyi Dong:
Design of a Linear Quantum Projection Filter. 876-881 - Mubeenah Titilola Sanni, Hemanshu Roy Pota, Huadong Mo, Daoyi Dong:
Voltage-Violation Mitigation in Power System Networks With Photo-Voltaic Penetration. 882-888 - Mariella Dreissig, Mohamed Hedi Baccour, Tim Schäck, Enkelejda Kasneci:
Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm. 889-896 - Wenxin Zhao, Yanan Sun, Bing Xue:
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection. 897-904 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. 905-912 - Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price:
Evolutionary Algorithm Driven Explainable Adversarial Artificial Intelligence. 913-920 - Camilo Franco, Mateo Marulanda, Adriana Cruz, Orlando Morales, Luz Stella Fuentes, Viviana Rubiano:
A neural network approach to predicting viability of native seeds from their optic RGB images. 921-927 - Fahad Sohrab, Jenni Raitoharju:
Boosting Rare Benthic Macroinvertebrates Taxa Identification With One-Class Classification. 928-933 - Felix Lanfermann, Sebastian Schmitt, Stefan Menzel:
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. 934-941 - Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel:
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. 942-949 - Ben Parsonage, Christie Alisa Maddock:
Multi-stage Multi-fidelity Information Correction for Artificial Neural Network Based Meta-modelling. 950-957 - Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich:
Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve. 958-962 - Oscar Galindo, Vladik Kreinovich:
What Is the Optimal Annealing Schedule in Quantum Annealing. 963-967 - Zhiwei Zhang, Hui Hou, Min Li, Yufeng Xie, Ling Zhu, Yong Huang:
Weighted Failure Probability Calculation of Overhead Distribution Line in Random Wind Field. 968-975 - Iyad Abu Doush, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Abdelaziz I. Hammouri, Mohammed El-Abd:
Island-based Modified Harmony Search Algorithm with Neighboring Heuristics Methods for Flow Shop Scheduling with Blocking. 976-982 - Kaichi Matsumoto, Yoshikazu Fukuyama:
Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population. 983-988 - Himanshu Mittal, Mukesh Saraswat, Jagdish Chand Bansal, Atulya Nagar:
Fake-Face Image Classification using Improved Quantum-Inspired Evolutionary-based Feature Selection Method. 989-995 - Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke:
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. 996-1003 - Ahmed Kattan, Faiyaz Doctor, Yew-Soon Ong, Alexandros Agapitos:
Genetic Programming Multitasking. 1004-1012 - Tomohiro Harada:
Search Progress Dependent Parent Selection for Avoiding Evaluation Time Bias in Asynchronous Parallel Multi-Objective Evolutionary Algorithms. 1013-1020 - José Luis Martínez Pérez, Roberto S. M. Barros, Silas G. T. C. Santos:
Statistical Tests Ensemble Drift Detector. 1021-1028 - Paulo M. Goncalves, Roberto S. M. Barros, Sylvain Chartier:
A Change Detector for Prior Probabilities of Classes. 1029-1036 - Danilo Rafael de Lima Cabral, Roberto Souto Maior de Barros:
EMZD: Equal Means Z-Test Concept Drift Detector. 1037-1044 - Daniel Vidali Fryer, Hien D. Nguyen, Pascal Castellazzi:
k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences. 1045-1050 - Gerhard Klassen, Martha Tatusch, Stefan Conrad:
Clustering of Time Series Regarding Their Over-Time Stability. 1051-1058 - Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. 1059-1066 - Aaron Wray, Matthew Meades, Dave Cliff:
Automated Creation of a High-Performing Algorithmic Trader via Deep Learning on Level-2 Limit Order Book Data. 1067-1074 - Caio Mário Mesquita, Cristiano Arbex Valle, Adriano C. M. Pereira:
Dynamic Portfolio Optimization Using a Hybrid MLP-HAR Approach. 1075-1082 - Abdulrahman A. Ahmed, Ayman Ghoneim, Mohamed Saleh:
Optimizing stock market execution costs using reinforcement learning. 1083-1090 - Joel da Costa, Tim Gebbie:
Learning low-frequency temporal patterns for quantitative trading. 1091-1099 - Wilson Tsakane Mongwe, Katherine M. Malan:
The Efficacy of Financial Ratios for Fraud Detection Using Self Organising Maps. 1100-1106 - You Liang, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque:
A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility. 1107-1114 - Hasan H. Al-Khshali, Muhammad Ilyas, Osman N. Uçan:
Effect of PE File Header Features on Accuracy. 1115-1120 - Kuruge Darshana Abeyrathna, Harsha S. Gardiyawasam Pussewalage, Sasanka N. Ranasinghe, Vladimir A. Oleshchuk, Ole-Christoffer Granmo:
Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine. 1121-1130 - Mohammad Ashrafuzzaman, Saikat Das, Ananth A. Jillepalli, Yacine Chakhchoukh, Frederick T. Sheldon:
Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems. 1131-1137 - Nitin Naik, Paul Jenkins, Nick Savage, Longzhi Yang, Kshirasagar Naik, Jingping Song, Tossapon Boongoen, Natthakan Iam-On:
Fuzzy Hashing Aided Enhanced YARA Rules for Malware Triaging. 1138-1145 - Nitin Naik, Paul Jenkins, Roger Cooke, Jonathan Gillett, Yaochu Jin:
Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness. 1146-1153 - Subash Poudyal, Dipankar Dasgupta:
AI-Powered Ransomware Detection Framework. 1154-1161 - Zhenyue Qin, Rouyi Jin, Robert Ian (Bob) McKay, Tom Gedeon:
Improving Effectiveness and Efficiency in Wagner's Modularity-Evolving Artificial Gene Regulatory Networks. 1162-1170 - Oluwatobi I. Ajagbe, Dean Frederick Hougen:
Evolution, Sympatric Speciation, and Risk Aversion. 1171-1178 - Jin Hong Kuan, Aadesh Salecha:
Emergence and Stability of Self-Evolved Cooperative Strategies using Stochastic Machines. 1179-1186 - Omar Delarosa, Lisa B. Soros:
Growing MIDI Music Files Using Convolutional Cellular Automata. 1187-1194 - Alejandro Morales, Tom Froese:
The distribution of inhibitory neurons in the C. elegans connectome facilitates self-optimization of coordinated neural activity. 1195-1201 - Martin Biehl, Ryota Kanai:
Non-trivial informational closure of a Bayesian hyperparameter. 1202-1209 - Chee Keong Wee, Richi Nayak:
Adaptive Data Replication Optimization Based on Reinforcement Learning. 1210-1217 - Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. 1218-1225 - Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee:
Balancing Utility and Fairness against Privacy in Medical Data. 1226-1233 - Jan Kunnen, Maxime Duchateau, Ziboud Van Veldhoven, Jan Vanthienen:
Benchmarking Stacking Against Other Heterogeneous Ensembles in Telecom Churn Prediction. 1234-1240 - Alexander Stevens, Peter Deruyck, Ziboud Van Veldhoven, Jan Vanthienen:
Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva. 1241-1248 - Binh Nguyen, Wanli Ma, Dat Tran, Younjin Chung:
Wavelet-based denoising for EEG-based pattern recognition systems. 1249-1256 - Ali Anaissi, Basem Suleiman, Seid Miad Zandavi:
Online Tensor Decomposition with optimized Stochastic Gradient Descent: an Application in Structural Damage Identification. 1257-1264 - Tianshu Ouyang, Jiahong Cai, Yuxuan Gao, Xinyan He, Huimiao Chen, Kexin Hang:
A Method of EV Detour-to-Recharge Behavior Modeling and Charging Station Deployment. 1265-1271 - Mohamad Mobasher-Kashani, Nasimul Noman, Stephan K. Chalup:
Parallel LSTM Architectures for Non-Intrusive Load Monitoring in Smart Homes. 1272-1279 - Sampa Sahoo, Kshira Sagar Sahoo, Bibhudatta Sahoo, Amir H. Gandomi:
An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities. 1280-1286 - Florian Huber, Markus Mock:
Toci: Computational Intelligence in an Energy Management System. 1287-1296 - Mohammed Abdullah Al-Shehri, Youguang Guo, Gang Lei:
Grid-Connected Renewable Energy Microgrids: A Systematic Review. 1297-1306 - Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner:
XCSF with Experience Replay for Automatic Test Case Prioritization. 1307-1314 - Li Li, Avimanyu Sahoo, Liang Chang:
A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows. 1315-1320 - Amirhossein Asgharnia, Howard M. Schwartz, Mohamed M. Atia:
Deception in A Multi-agent Adversarial Game: The Game of Guarding Several Territories. 1321-1327 - Zhila Bahrami, Ran Zhang, Rakiba Rayhana, Teng Wang, Zheng Liu:
Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection. 1328-1333 - Nicolas Ferland, Wenting Sun, Xuancheng Fan, Lule Yu, Jieneng Yang:
Automatically Resolve Trouble Tickets with Hybrid NLP. 1334-1340 - Bas van Stein, Hao Wang, Thomas Bäck:
Neural Network Design: Learning from Neural Architecture Search. 1341-1349 - Moritz Heusinger, Frank-Michael Schleif:
Reactive Concept Drift Detection Using Coresets Over Sliding Windows. 1350-1355 - Julie L. Harvey, Sathish A. P. Kumar, Shaowu Bao:
Machine Learning-Based Models for Assessing Physical and Social Impacts Before, During and After Hurricane Michael. 1356-1362 - Dmytro Pukhkaiev, Yevhenii Semendiak, Uwe Aßmann:
To Measure or not to Measure? Adaptive Repetition Management in Parameter Tuning. 1363-1370 - Nicolas Poiron-Guidoni, Paul-Antoine Bisgambiglia:
Deep hierarchical reinforcement learning in a markov game applied to fishery management decision making. 1371-1378 - Srinivas Soumitri Miriyala, Kishalay Mitra:
Optimal Control using Evolutionary Algorithms through Neural network based TRANSFORMation. 1379-1386 - Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods. 1387-1394 - Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Richard Taylor, Ruhul A. Sarker:
An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context. 1395-1402 - Luke Marsh, Madeleine Cochrane, Riley Lodge, Brendan Sims, Jason M. Traish, Richard Y. D. Xu:
Autonomous Target Allocation Recommendations. 1403-1410 - Sayantica Pattanayak, Simone A. Ludwig:
Analyzing Privacy of Time Series Data Using Substitute Auto-encoder Neural Network. 1411-1418 - Adam J. Campbell, Nur Zincir-Heywood:
Exploring Tunneling Behaviours in Malicious Domains With Self-Organizing Maps. 1419-1426 - Brett Rajchel, John V. Monaco, Gurminder Singh, Angela Hu, Jarrod Shingleton, Thomas Anderson:
Temporal Behavior in Network Traffic as a Basis for Insider Threat Detection. 1427-1434 - Giuseppe Laurito, Bradley Fraser, Kent Rosser:
Airborne Localisation of Small UAS using Visual Detection: A Field Experiment. 1435-1443 - Zuhaib Ahmed Shaikh, Gianni Allebosch, Peter Veelaert, Wilfried Philips:
Automatic annotation of pedestrians in thermal images using background/foreground segmentation for training deep neural networks. 1444-1451 - Faith Tan, Gideon Woo, Herbert H. Tsang:
CGLER: Laban Effort Framework Analysis with Conducting Gestures Using Neural Networks. 1452-1459 - Timo Friedrich, Patricia Wollstadt, Stefan Menzel:
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. 1460-1468 - Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt:
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. 1469-1477 - Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. 1478-1484 - C. S. Arvind, R. Jyothi, K. Kaushal, G. Girish, R. Saurav, G. Chetankumar:
Edge Computing Based Smart Aquaponics Monitoring System Using Deep Learning in IoT Environment. 1485-1491 - Suhaib Al-Rousan, Abdullah Abuhussein, Faisal Alsubaei, Lynn Collen, Sajjan G. Shiva:
Ads-Guard: Detecting Scammers in Online Classified Ads. 1492-1498 - Mohammed Hassanin, Nour Moustafa, Murat Tahtali:
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. 1499-1505 - Kishor Datta Gupta, Dipankar Dasgupta, Zahid Akhtar:
Applicability issues of Evasion-Based Adversarial Attacks and Mitigation Techniques. 1506-1515 - Ahmed Dawoud, Omid Ameri Sianaki, Seyed Shahristani, Chun Raun:
Internet of Things Intrusion Detection: A Deep Learning Approach. 1516-1522 - Brandon Brown, Alexicia Richardson, Marcellus Smith, Gerry V. Dozier, Michael C. King:
The Adversarial UFP/UFN Attack: A New Threat to ML-based Fake News Detection Systems? 1523-1527 - Namita Agarwal, Saikat Das:
Interpretable Machine Learning Tools: A Survey. 1528-1534 - Zhixi Li, Vincent W. L. Tam, Kwan Lawrence Yeung:
A Study on Parameter Sensitivity Analysis of the Virus Spread Optimization. 1535-1542 - Churong Zhang, Jun Yu, Ben Niu:
Bacterial Foraging Optimization Based on Multi-colony Cooperation Strategy. 1543-1548 - Simon Dennis, Andries P. Engelbrecht:
Dynamic Multi-Swarm Fractional-best Particle Swarm Optimization for Dynamic Multi-modal Optimization. 1549-1556 - Thorsten Schmidt-Dumont, Andries P. Engelbrecht:
Analysis of Particle Swarm Optimisation for Training Support Vector Machines. 1557-1564 - Rethabile Mabaso, Christopher W. Cleghorn:
Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments. 1565-1572 - Kyle Erwin, Andries P. Engelbrecht:
Improved Set-based Particle Swarm optimization for Portfolio optimization. 1573-1580 - Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen:
NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement. 1581-1587 - Peter Bellmann, Friedhelm Schwenker:
Automated Pain Assessment: Is it Useful to Combine Person-Specific Data Samples? 1588-1593 - Priyanka Devi Pantula, Srinivas Soumitri Miriyala, Lopamudra Giri, Kishalay Mitra:
Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering. 1594-1600 - Akihiro Yorita, Simon Egerton, Carina Chan, Naoyuki Kubota:
Chatbot for Peer Support Realization based on Mutual Care. 1601-1606 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone:
Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials. 1607-1613 - John Shelley, Manu S. Pillai, Sathish A. P. Kumar:
Data Analysis of Lead Contamination in New York. 1614-1619 - Hasan Hüseyin Turan, Sondoss Elsawah, Fatemeh Jalalvand, Michael J. Ryan:
Solving Strategic Military Workforce Planning Problems with Simulation-optimization. 1620-1625 - Fatemeh Jalalvand, Hasan Hüseyin Turan, Sondoss Elsawah, Michael J. Ryan:
A Multi-objective Risk-averse Workforce Planning under Uncertainty. 1626-1633 - Zhang Yingfei, Zhang Gongpeng, Ruixin Wang, Xiao-Bing Hu:
A Simulation Method of Personnel Evacuation Management Based on Mulit-Agent Models. 1634-1639 - Marcos S. Morgenstern, Felipe G. Pires, Edison P. de Freitas, Luís Alvaro de Lima Silva:
Time-limited search and optimization of the spatial positioning of agents in virtual environments. 1640-1647 - Emmanuel Oluwatobi Salawu:
Enhanced Sampling of Nucleic Acids' Structures Using Deep-Learning-Derived Biasing Forces. 1648-1654 - Li Qiao, Michael J. Ryan:
Analysis of Business Processes in Supply Chain: An Interpretive Structural Modeling Approach. 1655-1662 - Md. Monjurul Islam, ASSM Barkat Ullah, Md. Hasan Furhad, Saiba Nazah:
Surrogate Approximation on Bilevel Multi Follower Optimization Problems. 1663-1671 - Soha Bahanshal, Byung Kim:
Hybrid Fuzzy Weighted K-Nearest Neighbor to Predict Hospital Readmission for Diabetic Patients. 1672-1677 - Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson:
Visualization and Analysis Tools for Explainable Choquet Integral Regression. 1678-1686 - Leonardos Pantiskas, Kees Verstoep, Henri E. Bal:
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks. 1687-1694 - Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering. 1695-1701 - Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel:
Time and Cost Prediction Models for Language Classification Over a Large Corpus on Spark. 1702-1709 - Yongmin Zheng, Lunke Fei, Jie Wen, Shaohua Teng, Wei Zhang, Imad Rida:
Joint Multiple-type Features Encoding for Palmprint Recognition. 1710-1717 - Nima Salimi, Michael Barlow, Erandi Lakshika:
Towards Potential of N-back Task as Protocol and EEGNet for the EEG-based Biometric. 1718-1724 - Zhenzhen Yang, Yuanrong Xu, Guangming Lu:
Efficient Method for High-Resolution Fingerprint Image Enhancement Using Deep Residual Network. 1725-1730 - Steve Halladay, Gerry V. Dozier:
A Comparison of Genetic & Swarm Intelligence-Based Feature Selection Algorithms for Author Identification. 1731-1738 - Tsubasa Fukui, Momoyo Ito, Shin-Ichi Ito, Minoru Fukumi:
Motion Identification of fingerspelling by Wrist EMG Analysis. 1739-1744 - Thomas Truong, Dhyey Lalseta, Ryan Ittyipe, Svetlana N. Yanushkevich:
Detecting Proper Mask Usage with Soft Attention. 1745-1750 - Daniel L. Bongiorno, Nivedita Prakasan, Jordan Truswell, Michael Posadowski, James Walsh:
AiCE: automating horizon scanning for the detection of emerging technologies. 1751-1756 - Rohit Pande, Shafiq Alam:
Predicting the outcome of judicial cases using semantic analysis. 1757-1761 - Zhenyu Yang, Jie Yang, Brian Yecies, Wanqing Li:
Multi-view learning for context-aware extractive summarization. 1762-1769 - Wathsala Anupama Mohotti, Richi Nayak:
Discovering Communities with SGNS Modelling-based Network connections and Text communications Clustering. 1770-1777 - Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. 1778-1785 - Jörg Frochte, Stephen Marsland:
Regression learning on patches. 1786-1793 - Ronald K. Mo, Albert Y. S. Lam:
Augmenting Telephony Audio Data using Robust Principal Component Analysis. 1794-1799 - Rolando Miragaia, Gustavo Reis, Francisco Fernández de Vega, Francisco Chávez:
Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask. 1800-1807 - Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang, Jia Sun:
Deep Domain Adaptive Object Detection: a Survey. 1808-1813 - Xingdong Cao, Kenneth Lai, Svetlana N. Yanushkevich, Michael R. Smith:
Adversarial and Adaptive Tone Mapping Operator for High Dynamic Range Images. 1814-1821 - Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. 1822-1828 - William Tarimo, Moustafa M. Sabra, Shonan Hendre:
Real-Time Deep Learning-Based Object Detection Framework. 1829-1836 - Ahmed Yaser Fahad Alsahlani, Alexandru Popa:
Analyzing of LAM-CIoT: Lightweight Authentication Mechanism in Cloud-based IoT Environment. 1837-1844 - Salahaldeen Duraibi, Wasim Alhamdani, Frederick T. Sheldon:
Voice Feature Learning using Convolutional Neural Networks Designed to Avoid Replay Attacks. 1845-1851 - Tran Duy Khanh, Igor Komarov, Le Duy Don, Radda A. Iureva, Sergey Chuprov:
TRA: Effective Authentication Mechanism for Swarms Of Unmanned Aerial Vehicles. 1852-1858 - Marcellus Smith, Alexicia Richardson, Brandon Brown, Gerry V. Dozier, Michael C. King, Joshua Morris:
A Study of the Impact of Evolutionary-Based Feature Selection for Fake News Detection. 1859-1865 - Daniel Xie, Prosenjit Chatterjee, Zhipeng Liu, Kaushik Roy, Kossi D. Edoh:
DeepFake Detection on Publicly Available Datasets using Modified AlexNet. 1866-1871 - Janelle C. Mason, Albert C. Esterline:
Security and a Framework for Identity. 1872-1878 - Takuma Kambayashi, Kentarou Kurashige:
Autonomous decision making by the self-generated priority under multi-task. 1879-1885 - Sosuke Kondo, Kentarou Kurashige:
Self-generation of reward based on sensor value -Improving reward accuracy by associating multiple sensors using Hebb's rule-. 1886-1892 - Cheng Tang, Ryota Inoue, Kohei Oshio, Makoto Tsujimoto, Kazuhiko Taniguchi, Naoyuki Kubota:
Automation of Illuminance measurement in a large scene by an autonomous Mobile Robot. 1893-1898 - Nao Yamada, Mohamad Yani, Naoyuki Kubota:
Interactive adaptation of Hand-over Motion by a Robot Partner for Comfort of receiving. 1899-1904 - Alfin Junaedy, Hiroyuki Masuta, Kei Sawai, Tatsuo Motoyoshi, Noboru Takagi:
Real-Time Simultaneous Localization and Mapping for Low-Power Wide-Area Communication. 1905-1912 - Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-label Classification Based on Adaptive Resonance Theory. 1913-1920 - Ravi kiran Inapakurthi, Srinivas Soumitri Miriyala, Suryanarayana Kolluri, Kishalay Mitra:
Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning. 1921-1927 - Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neurocontrollers for UAVs. 1928-1935 - Ravi Prakash, Kurusetti Vinay Gupta, Laxmidhar Behera:
Adaptive Backstepping Neural Tracking Control of an Uncertain Robot Manipulator with Dynamic Disturbances. 1936-1943 - Sina Razvarz, Raheleh Jafari, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Farzad Arabikhan:
Pipeline Leak Detection and Location based on Fuzzy Controller. 1944-1949 - Matthew Amos, Richard H. Middleton, Alexander Biddulph, Alexandre Mendes:
Implementation and analysis of dynamic stability for bipedal robotic motion. 1950-1957 - Peiman Alipour Sarvari, Issam Abdeldjalil Ikhelef, Sébastien Faye, Djamel Khadraoui:
A dynamic data-driven model for optimizing waste collection. 1958-1967 - Yifan Wu, Yunhua Chen, Pinghua Chen:
Reservoir generation via simulating the non-local connections between brain functional columns. 1968-1973 - Dongzhao Liu, Lei Guo, Youxi Wu, Guizhi Xu:
Robustness of the Scale-free Spiking Neural Network with Small-world Property. 1974-1980 - Peter Stratton, Andrew Wabnitz, Tara Julia Hamilton:
A Spiking Neural Network Based Auto-encoder for Anomaly Detection in Streaming Data. 1981-1988 - Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman:
Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. 1989-1994 - Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman:
Training Spiking Neural Networks Using Combined Learning Approaches. 1995-2001 - Chenxiang Ma, Qiang Yu:
AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks. 2002-2007 - Sorachi Nakazawa, Yohei Nakada:
Improvement of Mixture-of-Experts-Type Model to Construct Dynamic Saliency Maps for Predicting Drivers' Attention. 2008-2015 - Aishwarya Asesh:
Search for the real McCoy: Authorship Attribution. 2016-2023 - Ananya Das, Subhashis Chatterjee:
A Novel Algorithm to Detect Brain Tumor using Staged-Type-II Fuzzy Classifier. 2024-2030 - Jacob Pettigrew, Gideon Woo, Herbert H. Tsang:
Computational Intelligence in Human Feature Analysis and Pose Selection. 2031-2038 - Mateus Gheorghe de Castro Ribeiro, Alan Conci Kubrusly, Helon Vicente Hultmann Ayala:
Damage Detection in Composite Plates with Ultrasonic Guided-waves and Nonlinear System Identification. 2039-2046 - Thomas Truong, Svetlana N. Yanushkevich:
Detecting Subject-Weapon Visual Relationships. 2047-2052 - Khaoula Chraibi, Ilham Chaker, Azeddine Zahi:
Automatic Personality Prediction: A Systematic Mapping Study. 2053-2060 - Chowdhury Rabith Amin, Mirza Farhan Hasin, Tasin Shafi Leon, Abrar Bareque Aurko, Tasmi Tamanna, Md Anisur Rahman, Mohammad Zavid Parvez:
Consumer Behavior Analysis using EEG Signals for Neuromarketing Application. 2061-2066 - Ralph Foorthuis:
Algorithmic Frameworks for the Detection of High-Density Anomalies. 2067-2076 - Michael Phillips, Mohammad Hossein Amirhosseini, Hassan B. Kazemian:
A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data. 2077-2083 - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. 2084-2092 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. 2093-2100 - Michal Bidlo, Petr Zufan:
On Comparison of Some Representations for the Evolution of Quantum Operators. 2101-2108 - Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
Quality and Diversity in Evolutionary Modular Robotics. 2109-2116 - Fuda van Diggelen, Robert Babuska, A. E. Eiben:
The Effects of Adaptive Control on Learning Directed Locomotion. 2117-2124 - Matteo De Carlo, Daan Zeeuwe, Eliseo Ferrante, Gerben Meynen, Jacintha Ellers, A. E. Eiben:
Robotic task affects the resulting morphology and behaviour in evolutionary robotics. 2125-2131 - Edgar Buchanan, Léni K. Le Goff, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Wei Li, Matthew F. Hale, Mike Angus, Robert Woolley, Alan F. T. Winfield, Jon Timmis, Andy M. Tyrrell:
Evolution of Diverse, Manufacturable Robot Body Plans. 2132-2139 - Matthew F. Hale, Mike Angus, Edgar Buchanan, Wei Li, Robert Woolley, Léni K. Le Goff, Matteo De Carlo, Jon Timmis, Alan F. T. Winfield, Emma Hart, Ágoston E. Eiben, Andy M. Tyrrell:
Hardware Design for Autonomous Robot Evolution. 2140-2147 - Eric Austin, Jörg Denzinger:
(Energy) Policies Can Be Complicated: So Be Careful With Your Simulators! 2148-2155 - Mostafa Shabani, Alexandros Iosifidis:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. 2156-2161 - Teema Leangarun, Poj Tangamchit, Suttipong Thajchayapong:
Using Generative Adversarial Networks for Detecting Stock Price Manipulation: The Stock Exchange of Thailand Case Study. 2162-2169 - Brian Sing Fan Chan, Joshua Zoen-Git Hiew:
Probabilistic Analysis of Market Impact of Analysts' Recommendation Revisions. 2170-2177 - Kin-Hon Ho, Wai-Han Chiu, Chin Li:
A Network Analysis of the Cryptocurrency Market. 2178-2185 - A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
PaletteViz with Star-coordinates: An Improved Method for High-dimensional Pareto-optimal Front Visualization and Decision-making. 2186-2193 - Saber M. Elsayed, Hemant K. Singh, Essam Soliman Debie, Anthony Perry, Benjamin Campbell, Robert A. Hunjet, Hussein A. Abbass:
Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution. 2194-2201 - Yukiko Fukumoto, Masakazu Tadokoro, Keiki Takadama:
Cooperative Multi-agent Inverse Reinforcement Learning Based on Selfish Expert and its Behavior Archives. 2202-2209 - Jun Li, Lianghao Ji:
Optimal Consensus Control for Second-Order Discrete-Time Multi-Agent Systems: Using Online Policy Iteration Algorithm. 2210-2216 - Adam J. Hepworth, Kate J. Yaxley, Daniel P. Baxter, Keith F. Joiner, Hussein A. Abbass:
Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures. 2217-2224 - Eduardo C. Paim, Ana L. C. Bazzan, Camelia Chira:
Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. 2225-2232 - Michael Vogrin, Martin Stefanec, Thomas Schmickl:
Social Distancing in Robot Swarms: Modulating Exploitation and Exploration Without Signal Exchange. 2233-2240 - Adithya Venkatesh Mohan, Dieter Vanderelst:
Training a simulated bat: Modeling sonar-based obstacle avoidance using deep-reinforcement learning. 2241-2249 - Georgina Montserrat Reséndiz-Benhumea, Ekaterina Sangati, Tom Froese:
Levels of Coupling in Dyadic Interaction: An Analysis of Neural and Behavioral Complexity. 2250-2256 - Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein A. Abbass:
Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance. 2257-2264 - Kyle Doney, Aikaterini Petridou, Jacob Karaul, Ali Khan, Geoffrey Liu, John Rieffel:
Behavioral Repertoires for Soft Tensegrity Robots. 2265-2271 - Matteo De Carlo, Daan Zeeuwe, Eliseo Ferrante, Gerben Meynen, Jacintha Ellers, A. E. Eiben:
Influences of Artificial Speciation on Morphological Robot Evolution. 2272-2279 - Ian Showalter, Howard Schwartz:
Objective Comparison and Selection in Mono- and Multi-Objective Evolutionary Neurocontrollers. 2280-2287 - Unai Garciarena, Roberto Santana, Alexander Mendiburu:
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. 2288-2295 - Kevin Richard G. Operiano, Hitoshi Iba, Wanchalerm Pora:
Neuroevolution Architecture Backbone for X-ray Object Detection. 2296-2303 - Ian Showalter, Howard Schwartz:
Exploring the Relationship Between Topology and Function in Evolved Neural Networks. 2304-2311 - Jan Linus Steuler, Markus Beck, Benjamin N. Passow, Michael Guckert:
Optimizing the Energy Consumption of Neural Networks. 2312-2319 - Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification. 2320-2326 - Emilio Capo, Daniele Loiacono:
Short-Term Trajectory Planning in TORCS using Deep Reinforcement Learning. 2327-2334 - Yannick Verhoeven, Mike Preuss:
On the Potential of Rocket League for Driving Team AI Development. 2335-2342 - Fred Valdez Ameneyro, Edgar Galván, Ángel Fernando Kuri Morales:
Playing Carcassonne with Monte Carlo Tree Search. 2343-2350 - Hao-Cheng Chia, Tsung-Su Yeh, Tsung-Che Chiang:
Designing Card Game Strategies with Genetic Programming and Monte-Carlo Tree Search: A Case Study of Hearthstone. 2351-2358 - Fernando Ishikawa, Leandro Z. Trovões, Leonardo Carmo, Fabrício Olivetti de França, Denis G. Fantinato:
Playing Mega Man II with Neuroevolution. 2359-2364 - Umberto Picariello, Daniele Loiacono, Fabio Mosca, Pier Luca Lanzi:
A Framework to Create Collaborative Games for Team Building using Procedural Content Generation. 2365-2372 - Mobina Mashkani, Hanyu Gu, Dhananjay R. Thiruvady, Andreas T. Ernst:
Minimizing Total Clinical Deterioration in Operating Theatres. 2373-2380 - Luke Mathieson, Pablo Moscato:
The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise. 2381-2390 - Chenhao Li, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xin Yao:
An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation. 2391-2398 - Shaolin Wang, Yi Mei, Mengjie Zhang:
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. 2399-2406 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem. 2407-2414 - João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem. 2415-2422 - Hrishee Shastri, Eitan Frachtenberg:
Locality Bounds for Nonredundant Binary-Integer Representations. 2423-2430 - Reiji Hayashi, Tsuyoshi Migita, Norikazu Takahashi:
A Genetic Algorithm for Finding Regular Graphs with Minimum Average Shortest Path Length. 2431-2436 - Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. 2437-2444 - Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme:
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. 2445-2452 - Leticia V. N. Lapenda, Rodrigo P. Monteiro, Carmelo J. A. Bastos Filho:
Autoencoder latent space: an empirical study. 2453-2460 - Longcan Chen, Ke Shang, Hisao Ishibuchi:
Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems. 2461-2468 - Vladislav Jidkov, Rami S. Abielmona, Alexander Teske, Emil M. Petriu:
Enabling Maritime Risk Assessment Using Natural Language Processing-based Deep Learning Techniques. 2469-2476 - Omar Ali, Nancy Scheidt, Alexander E. Gegov, Ella Haig, Mo Adda, Benjamin Aziz:
Automated Detection of Racial Microaggressions using Machine Learning. 2477-2484 - Julio J. Valdés, Alain B. Tchagang:
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings. 2485-2494 - Julio J. Valdés, Alain B. Tchagang:
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings. 2495-2503 - Karam M. Sallam, Hasan Huseyin Turan, Ripon Kumar Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach. 2504-2509 - Madeleine Cochrane, Robert A. Hunjet:
A Multi-Armed Bandit Strategy for Countermeasure Selection. 2510-2515 - Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. 2516-2520 - Sanhita Basu, Sushmita Mitra, Nilanjan Saha:
Deep Learning for Screening COVID-19 using Chest X-Ray Images. 2521-2527 - Emanuel Alogna, Edoardo Giacomello, Daniele Loiacono:
Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks. 2528-2535 - Nahida Akter, Stuart W. Perry, John Fletcher, Matthew Simunovic, Maitreyee Roy:
Automated Artifacts and Noise Removal from Optical Coherence Tomography Images Using Deep Learning Technique. 2536-2542 - Shane Acton, Sasha Abramowitz, Liron Toledo, Geoff Nitschke:
Efficiently Coevolving Deep Neural Networks and Data Augmentations. 2543-2550 - Sarveswararao Vangala, Vadlamani Ravi:
Chaos, Machine Learning and Deep Learning based Hybrid to forecast Consumer Price Index Inflation in India. 2551-2557 - Tomas Luneckas, Mindaugas Luneckas, Ziad Salem, Martina Szopek, Thomas Schmickl:
Convolutional Neural Network for Honeybee Density Estimation. 2558-2566 - Harkeerat Kaur, Isao Echizen, Rohit Kumar:
Smart Data Agent for Preserving Location Privacy. 2567-2575 - Danilo Cavaliere, Sabrina Senatore:
Exploiting a multi-device knowledge meshing to agent-based activity tracking. 2576-2583 - Bradley Fraser, Claudia Szabo, Andrew Coyle, Robert A. Hunjet:
Leveraging Emergent Specialization in a Heterogeneous Multi-Role Swarm Control Architecture for Positional-based UAS Missions. 2584-2591 - Ian Showalter, Howard Schwartz:
Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game. 2592-2599 - David Cotton, Jason M. Traish, Zenon Chaczko:
Coevolutionary Deep Reinforcement Learning. 2600-2607 - Mehdi Abedi, Parichehr Paam, Regina Berretta:
A Two-phase Heuristic Method for Agri-fresh Inventory Optimisation. 2608-2615 - Shu Luo, Linxuan Zhang, Yushun Fan:
Improved nondominated sorting genetic algorithm-II for bi-objective flexible job-shop scheduling problem. 2616-2624 - Himadri Sikhar Khargharia, Roberto Santana, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu:
Investigating RNNs for vehicle volume forecasting in service stations. 2625-2632 - Pradeep K. Mahato, Apurva Narayan:
Robust Supply Chains with Gradient Boosted Trees. 2633-2639 - Marcela Silva Guimarães, Isis Didier Lins, Márcio das Chagas Moura, Heitor de Oliveira Duarte:
Application of data-based prediction methods in newsvendor problems subject to purchase price uncertainty. 2640-2646 - Robbert Reijnen, Yingqian Zhang, Wim Nuijten, Çaglar Senaras, Mariana Goldak-Altgassen:
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts. 2647-2654 - Yu Bai, Michael Bain:
Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection. 2655-2662 - Junwei Dong, Liangjie Zhang, Boyu Hou, Liang Feng:
A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification. 2663-2669 - Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi:
Evolutionary NAS with Gene Expression Programming of Cellular Encoding. 2670-2676 - Subhashis Banerjee, Sushmita Mitra:
Evolving Optimal Convolutional Neural Networks. 2677-2683 - Abigail McGhie, Bing Xue, Mengjie Zhang:
GPCNN: Evolving Convolutional Neural Networks using Genetic Programming. 2684-2691 - Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. 2692-2698 - Shahzeb Ansari, Haiping Du, Fazel Naghdy, David Stirling:
Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model. 2699-2704 - Sparsh Agrawal:
A machine-learning framework for a novel 3-step approach for real-time taxi dispatching. 2705-2712 - Zhi Jun Lim, Sim Kuan Goh, Imen Dhief, Sameer Alam:
Causal Effects of Landing Parameters on Runway Occupancy Time using Causal Machine Learning Models. 2713-2722 - Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. 2723-2730 - Nora Muscholl, Atanas Poibrenski, Matthias Klusch, Patrick Gebhard:
SIMP3: Social Interaction-Based Multi-Pedestrian Path Prediction By Self-Driving Cars. 2731-2738 - Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. 2739-2745 - Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich:
A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling. 2746-2753 - Qingquan Zhang, Feng Wu, Yang Tao, Jiyuan Pei, Jialin Liu, Xin Yao:
D-MAENS2: A Self-adaptive D-MAENS Algorithm with Better Decision Diversity. 2754-2761 - Asef Nazari, Dhananjay R. Thiruvady, Atabak Elmi, Jean-Guy Schneider:
Simulated Annealing for Single and Mixed Model Assembly Line Balancing with Setups. 2762-2769 - Md Juel Rana, Forhad Zaman, Tapabrata Ray, Ruhul A. Sarker:
Economic-Environmental Scheduling of Community Microgrid using Evolutionary Algorithm. 2770-2777 - Firoz Mahmud, Forhad Zaman, Ruhul A. Sarker, Daryl Essam:
Memetic Algorithm for Heterogeneous Project Scheduling Problems. 2778-2785 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. 2786-2793 - Shreyasi Datta, Chandan K. Karmakar, Marimuthu Palaniswami:
Averaging Methods using Dynamic Time Warping for Time Series Classification. 2794-2798 - Toshi Sinha, Brijesh K. Verma:
A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification. 2799-2805 - Yashesh D. Dhebar, Sparsh Gupta, Kalyanmoy Deb:
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods. 2806-2813 - Charles Leon-Urbano, Willy Ugarte:
End-to-end electroencephalogram (EEG) motor imagery classification with Long Short-Term. 2814-2820 - Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue:
A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection. 2821-2828 - Abir Zawali, Imen Boukhris:
Cross Domain Collaborative Filtering Recommender System for Academic Venue Personalization based on References. 2829-2835 - Donghao Qiao, Farhana H. Zulkernine:
Vision-based Vehicle Detection and Distance Estimation. 2836-2842 - Thilo Reich, Marcin Budka, David Hulbert:
Impact of Data Quality and Target Representation on Predictions for Urban Bus Networks. 2843-2852 - Fernando Garcia Diniz Campos Ferreira, Amir H. Gandomi, Rodrigo T. N. Cardoso:
Financial time-series analysis of Brazilian stock market using machine learning. 2853-2860 - Raghunathan Krishankumar, V. Sangeetha, Pratibha Rani, K. S. Ravichandran, Amir H. Gandomi:
Selection of Apt Renewable Energy Source for Smart Cities using Generalized Orthopair Fuzzy Information. 2861-2868 - Srinivas Soumitri Miriyala, Subhankar Chowdhury, NagaSree Keerthi Pujari, Kishalay Mitra:
Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling. 2869-2876 - Na'Shea Wiesner, John Sheppard, Brian Haberman:
Autonomous Vehicle Control Using Particle Swarm optimization in a Mixed Control Environment. 2877-2884 - Srinivas Soumitri Miriyala, Raja Banerjee, Kishalay Mitra:
Uncertainty quantification using Auto-tuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body. 2885-2892 - Huanjie Wang, Xiwei Bai, Jie Tan:
Uncertainty Quantification of Bearing Remaining Useful Life Based on Convolutional Neural Network. 2893-2900 - Tomasz Szandala:
Convolutional Neural Network for Blur Images Detection as an Alternative for Laplacian Method. 2901-2904 - Gabriel A. Lima, Rodrigo P. Monteiro, Paulo Rocha, Anthony José da Cunha Carneiro Lins, Carmelo J. A. Bastos Filho:
Mild Cognitive Impairment Diagnosis and Detecting Possible Labeling Errors in Alzheimer's Disease with an Unsupervised Learning-based Approach. 2905-2911 - Ziyun Zeng, Huimiao Chen:
Optimization of Fund Periodic Investment Strategy Considering Frequency, Time Scale and Dynamic Payments. 2912-2917 - Chi Ping Desmond Wong, Kwong Yat Felix Wong, Vincent W. L. Tam:
Adapting the Particle Filter Algorithm for the Street Navigation of the Visually Impaired. 2918-2923 - Rommel G. Regis:
Large-Scale Discrete Constrained Black-Box Optimization Using Radial Basis Functions. 2924-2931 - Hang Zhou, Xiao-Bing Hu:
A Comparative Study on Genetic Algorithm and Ant Colony Optimization in Resource Location Optimization. 2932-2939 - Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
An Artificial Immune System for Adaptive Test Selection. 2940-2947 - Dongdong Zhao, Xiaoyan Zhou, Jianwen Xiang, Wenjian Luo:
NDBIris with Better Unlinkability. 2948-2956 - Daniel A. Ashlock, Julie Greensmith:
Further Exploration of Necrotic Control of Evolved Art. 2957-2964 - Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. 2965-2974 - James Alexander Hughes, William Hannah, Peter Kikkert, Barry MacKenzie, Wendy Ashlock, Sheridan K. Houghten, Daniel A. Ashlock, Matthew Stoodley, Michael Dubé, Rachel Brown, Amanda Saunders:
We Are Not Pontius Pilate: Acknowledging Ethics and Policy. 2975-2984 - Martin Reber, Tobias D. Krafft, Roman Krafft, Katharina Anna Zweig, Anna Couturier:
Data Donations for Mapping Risk in Google Search of Health Queries: A case study of unproven stem cell treatments in SEM. 2985-2992 - Maryam Amir Haeri, Katharina Anna Zweig:
The Crucial Role of Sensitive Attributes in Fair Classification. 2993-3002 - Munir Makhmutov, Selina Varouqa, Joseph Alexander Brown:
Survey on Copyright Laws about Music Generated by Artificial Intelligence. 3003-3009 - Jianlong Zhou, Fang Chen, Adam Berry, Mike Reed, Shujia Zhang, Siobhan Savage:
A Survey on Ethical Principles of AI and Implementations. 3010-3017 - Zena Assaad, Noel Derwort, Katherine A. Daniell:
Considerations for Assuring Software Systems of Autonomous Aircraft. 3018-3024 - Madhurananda Pahar, Leslie S. Smith:
Coding and Decoding Speech using a Biologically Inspired Coding System. 3025-3032 - Ryotaro Kamimura:
Connective Potential Information for Collectively Interpreting Multi-Layered Neural Networks. 3033-3042 - T. P. Shivangi, M. Rahimi, Gaetano D. Gargiulo, Binsu J. Kailath, Tara Julia Hamilton:
A Silicon Neuron-based Bio-Front-End for Ultra Low Power Bio-Monitoring at the Edge. 3043-3048 - Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang:
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. 3049-3056 - Mohammadreza Ramzanpour, Simone A. Ludwig:
Association Rule Mining Based Algorithm for Recovery of Silent Data Corruption in Convolutional Neural Network Data Storage. 3057-3064 - NagaSree Keerthi Pujari, Srinivas Soumitri Miriyala, Kishalay Mitra:
Auto-tuned Deep Recurrent Neural Networks for Application in Wind Energy Conversion Systems. 3065-3072 - Malek Bessrour, Zied Elouedi, Eric Lefèvre:
E-DBSCAN: An evidential version of the DBSCAN method. 3073-3080 - Thy Nguyen, Jason Viehman, Dacosta Yeboah, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization. 3081-3090 - Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung:
Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm. 3091-3098 - Sayantani Ghosh, Mousumi Laha, Amit Konar, Atulya K. Nagar:
Decoding of Subjective Pain-Sensitivity by Brain Signal Analysis Using a General Type-2 Fuzzy Classifier. 3099-3106 - Sayantani Ghosh, Lidia Ghosh, Amit Konar, Atulya K. Nagar:
Assessment of Subjective Creativity Skill Using EEG Induced Capsule Network. 3107-3114 - Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany:
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. 3115-3124 - Dmytro Pukhkaiev, Yevhenii Semendiak, Sebastian Götz, Uwe Aßmann:
Combined Selection and Parameter Control of Meta-heuristics. 3125-3132 - Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín:
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. 3133-3140 - Kirita-Rose Escott, Hui Ma, Gang Chen:
A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud. 3141-3148 - Hanyu Gu:
Optimal Lagrangian Multipliers for the Multidimensional Knapsack Problem: a Bayesian Optimisation Approach. 3149-3155 - Darren M. Chitty:
Scalable Partial-ACO Applied to Fleet Optimisation: Sampling and Multi-Colony Approaches. 3156-3163 - Connor Gregor:
Evolutionary Algorithm with Nonsequential Chromosome Decoder for the Vehicle Routing Problem. 3164-3171
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