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ORCIDSSCI 2021: Orlando, FL, USA
- IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. IEEE 2021, ISBN 978-1-7281-9048-8
- Darren M. Chitty:
A Greedy Approach to Ant Colony Optimisation Inspired Mutation for Permutation Type Problems. 1-8 - Lamprini Pappa
, Petros S. Karvelis, George K. Georgoulas, Chrysostomos D. Stylios:
Slopewise Aggregate Approximation SAX: keeping the trend of a time series. 1-8 - Marc Chevallier, Faouzi Boufarès, Nistor Grozavu, Nicoleta Rogovschi, Charly Clairmont:
Near duplicate column identification: a machine learning approach. 1-7 - Ranjith Dinakaran, Li Zhang:
Object Detection Using Deep Convolutional Generative Adversarial Networks Embedded Single Shot Detector with Hyper-parameter Optimization. 1-6 - Dong-Keon Kim, Sung Kuk Shyn, Donghee Kim, Seungwoo Jang, Kwangsu Kim:
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea. 1-10 - Richard A. Hall, Alexander Maxseiner, Brian Matejevich, Donald A. Sofge, Daniel M. Lofaro:
Emergent Behavior in Swarms with On-board Sensing. 1-8 - Adam Ulrich, Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Jan Krnávek:
Novelty Search in Particle Swarm Optimization. 1-8 - Richmond Asiedu Agyapong, Mahmoud Nabil, Abdul-Rauf Nuhu, Mushahid I. Rasul, Abdollah Homaifar:
Efficient Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles Using Deep Learning. 1-8 - Hao Tong, Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xudong Feng, Feng Wu:
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration. 1-7 - Darius Scheepers, Nelishia Pillay:
A Study of Transfer Learning in a Generation Constructive Hyper-Heuristic for One Dimensional Bin Packing. 1-7 - Michael Beer, Olga Kosheleva, Vladik Kreinovich:
Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. 1-7 - Emmanuel Kieffer, Frédéric Pinel, Thomas Meyer, Georges Gloukoviezoff, Hakan Lucius, Pascal Bouvry:
Evolutionary Learning of Private Equity Recommitment Strategies. 1-8 - Jiyuan Pei, Chengpeng Hu, Jialin Liu, Yi Mei, Xin Yao:
Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. 1-9 - Direnc Pekaslan, Christian Wagner:
Compositional Linear Regression on Interval-valued Data. 1-8 - Rodrigo García, José Aguilar, Mauricio Toro, Marvin Jiménez:
Weight-Identification Model of Cattle Using Machine-Learning Techniques for Anomaly Detection. 1-7 - J. C. Peng, Antwan D. Clark, Anton Dahbura:
Introducing Human Corrective Multi-Team SRR Sports Scheduling via Reinforcement Learning. 1-7 - Edoardo Bizzotto, Anil Yaman, Giovanni Iacca:
Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity. 1-8 - Kanwal Jahan, Joshua Niemeijer, Nils Kornfeld, Michael Roth:
Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images. 1-7 - Jafar Badour, Joseph Alexander Brown:
Hateful Memes Classification using Machine Learning. 1-8 - Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo:
Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. 1-8 - Nicholas Masri, Mertcan Yetkin, Emma Hillman, Daniel Fay, Shalinee Kishore:
Optimal Public Electric Bus Fleet Charging Schedule with Solar and Energy Storage Considering Static and Dynamic Route Assignment. 1-10 - Vera Soboleva, Oleg Shipitko:
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm. 1-7 - Pedro M. Fernandes, Jonathan Jørgensen, Niels N. T. G. Poldervaart:
Adapting Procedural Content Generation to Player Personas Through Evolution. 1-9 - Lusi Li, Laura Slayton, Hepeng Li, Haibo He:
Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing. 1-7 - Shaolin Wang, Yi Mei, Mengjie Zhang:
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem. 1-8 - Chihiro Watanabe, Taiji Suzuki:
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network. 1-10 - Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane:
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. 1-8 - Fevzi Tugrul Varna, Phil Husbands:
AHPSO: Altruistic Heterogeneous Particle Swarm Optimisation Algorithm for Global Optimisation. 1-8 - Xin-Xin Liu, Dong Liu, Qiang Yang, Xiao-Fang Liu, Wei-jie Yu, Jun Zhang:
Comparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem. 1-8 - Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Antonio J. Nebro, Xin-She Yang:
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. 1-8 - Fredrik Foss, Truls Stenrud, Pauline C. Haddow:
Investigating Genetic Network Programming for Multiple Nest Foraging. 1-7 - Timothy Applewhite, Vivienne Jia Zhong, Rolf Dornberger:
Novel Bidirectional Multimodal System for Affective Human-Robot Engagement. 1-7 - Daik Koga, Kei Ohnishi:
Non-generational Geometric Semantic Genetic Programming. 1-7 - Daniel A. Ashlock, Joseph Alexander Brown, Connor Gregor, Munir Makhmutov:
A Family of Turn Based Strategy Games with Moose. 1-8 - Vimal Vidvadharan, Mohammad Hamdan, Ali M. S. Zalzala:
An Evidence-Based Study of Diabetes Prevention and Management with NLP and Deep Learning. 1-8 - Cong Bao, Qiang Yang, Xu-Dong Gao, Jun Zhang:
A Comparative Study on Population-Based Evolutionary Algorithms for Multiple Traveling Salesmen Problem with Visiting Constraints. 1-8 - Maher Alhossaini, Mohammed Aloqeely:
Causal Analysis of On-line Math Tutoring Impact on Low-income High School Students Using Bayesian Logistic and Beta Regressions. 1-10 - Mohammad Askarizadeh, Abolfazl Javidian, Masoumeh Zare, Kim Khoa Nguyen:
Convergence Analysis of Gravity-Based Clustering (GBC) Algorithm. 1-8 - Yuxuan Huang, Luiz Fernando Capretz, Danny Ho:
Machine Learning for Stock Prediction Based on Fundamental Analysis. 1-10 - João V. B. Labres, Ana L. C. Bazzan, Monireh Abdoos:
Improving Traffic Signal Control With Joint-Action Reinforcement Learning. 1-8 - Hiroyuki Namba, Masashi Egi:
Piecewise Simplification Approach for Accurate and Understandable Model. 1-7 - Lucija Planinic, Marko Durasevic, Domagoj Jakobovic:
Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods. 1-8 - Mario Maya, Wen Yu, Xiaoou Li:
Time series forecasting with missing data using neural network and meta-transfer learning. 1-6 - Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov:
FoodChem: A food-chemical relation extraction model. 1-8 - Matthew Malek-Podjaski, Fani Deligianni:
Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition. 1-9 - Jørgen Jensen Farner, Håkon Weydahl, Ruben Jahren, Stefano Nichele, Ola Huse Ramstad, Kristine Heiney:
Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity. 1-10 - Helder Cesar Rodigues de Oliveira, Vlad P. Shmerko, Svetlana N. Yanushkevich:
Decision Support for Infection Outbreak Analysis: the case of the Diamond Princess cruise ship. 1-8 - Giang Dao, Wesley Houston Huff, Minwoo Lee:
Learning Sparse Evidence- Driven Interpretation to Understand Deep Reinforcement Learning Agents. 1-7 - Tabajara Krausburg, Jürgen Dix, Rafael H. Bordini:
Computing Sequences of Coalition Structures. 1-7 - Edgar Galván, Gavin Simpson:
On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne. 1-8 - José Almeida, João P. Soares, Fernando Lezama, Bruno Canizes, Zita A. Vale:
Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators. 1-8 - Divyansh Goyal, Netra Patel, Thomas Truong, Svetlana N. Yanushkevich:
Towards Explainable Person Re- Identification. 1-8 - Tian Gan, Susan Stepney, Martin A. Trefzer:
Tradeoffs with physical delay feedback reservoir computing. 1-8 - Chih-Lin Chang, Shiou-Chi Li, Jen-Wei Huang:
Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer. 1-6 - Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. 1-6 - Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif:
Scalable embedding of multiple perspectives for indefinite life-science data analysis. 1-8 - Pedro Henrique Parreira, Ronaldo Cristiano Prati:
Naive Importance Weighting for Data Stream with Intermediate Latency. 1-7 - Jens Weise, Heiner Zille, Sanaz Mostaghim:
A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem. 1-8 - Charles F. Mickle, Debzani Deb:
Predicting Patient Discharge Disposition in Acute Neurological Care. 1-8 - Huber Nieto-Chaupis:
The Internet of Tall Buildings. 1-4 - Paddington Chiguvare, Christopher W. Cleghorn:
Improving transformer model translation for low resource South African languages using BERT. 1-8 - Hassan Karim, Danda B. Rawat:
Evaluating Machine Learning Classifiers for Data Sharing in Internet of Battlefield Things. 1-7 - Motoki Horiuchi, Masaya Nakata:
Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme. 1-8 - Nawaf Aljohani, Joseph Shelton, Kaushik Roy:
Authentication Based on Touch Patterns Using an Artificial Immune System. 1-8 - Ismail Alaoui Abdellaoui, Siamak Mehrkanoon:
Symbolic regression for scientific discovery: an application to wind speed forecasting. 1-8 - Cláudio A. Monteiro, Fernando M. de Paula Neto:
Diabetes Prediction Using Quantum Neurons with Preprocessing Based on Hypercomplex Numbers. 1-8 - Leon Glass, Wael Hilali, Oliver Nelles:
Compressing Interpretable Representations of Piecewise Linear Neural Networks using Neuro-Fuzzy Models. 1-8 - Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Exploiting Generative Models for Performance Predictions of 3D Car Designs. 1-9 - Valerie Vaquet, Fabian Hinder, Jonas Vaquet, Johannes Brinkrolf, Barbara Hammer:
Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings. 1-7 - Akihiro Yorita, Simon Egerton, Carina Chan, Naoyuki Kubota:
Development of Esteem Support based on Psychodrama and Design Thinking approach. 1-7 - Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Uzay Kaymak:
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. 1-8 - Chun-Shu Wei:
Normalized Canonical Correlation Analysis for Calibrating the Background EEG Activity in SSVEP Detection. 1-6 - Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. 1-7 - Abdul Qarib Stanikzai, Munam Ali Shah:
Evaluation of Cyber Security Threats in Banking Systems. 1-4 - Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
Fast Non-Parametric Conditional Density Estimation using Moment Trees. 1-7 - Tadanari Taniguchi, Michio Sugeno:
Output Tracking Control Based on Piecewise Multilinear Models for a Class of MIMO Discrete-Time Nonlinear Systems. 1-8 - Anil Arpaci, Jun Chen, John H. Drake, Tim Glover:
Intelligent Strategies to Combine Move Heuristics in Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation. 1-8 - Mathis Brosowsky, Paul Orschau, Olaf Dünkel, Philip Elspas, Daniel Slieter, Marius Zöllner:
Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. 1-9 - Stefanie Holly, Astrid Nieße:
Distributed fitness landscape analysis for cooperative search with domain decomposition. 1-8 - Hussain Alibrahim, Simone A. Ludwig:
Investigation of Domain Name System Attack Clustering using Semi-Supervised Learning with Swarm Intelligence Algorithms. 1-9 - Karl Schwenk, Kaleb Phipps, Benjamin Briegel, Veit Hagenmeyer, Ralf Mikut:
A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications. 1-8 - Shuhei Kimura, Daichi Oda, Masato Tokuhisa:
Feature Selection using Modified Null Importance. 1-7 - Thomas Miller, Christopher Archibald:
Monte Carlo Skill Estimation for Darts. 1-8 - José Luis Martínez Pérez, Laura Maria Palomino Mariño, Roberto Souto Maior de Barros:
Improving Diversity in Concept Drift Ensembles. 1-8 - Kalyanmoy Deb, A. K. M. Khaled Ahsan Talukder:
Visualization-based Multi-Criterion Decision Making with NIMBUS Method Using Palette Viz. 1-8 - Jens Weise, Sanaz Mostaghim:
A Customized Niching Methodology for the Many-Objective Pathfinding Problem. 1-8 - Adham Salih, Amiram Moshaiov:
Benchmarking Many-Objective Topology and Weight Evolution of Neural Networks: A Study with NEWS/D. 1-6 - Hiba Arnout, Johanna Bronner, Johannes Kehrer, Thomas A. Runkler:
Translation of Time Series Data from Controlled DC Motors using Disentangled Representation Learning. 1-8 - Gaoyu Cao, Zhanquan Sun, Minlan Pan, Jiangfei Pang, Zhiqiang He, Jiayu Shen:
UUnet: An effective cascade Unet for automatic segmentation of renal parenchyma. 1-6 - Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang:
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. 1-8 - Qiang Zhang, Feiqi Fu, Kai Zhang, Feng Lin, Jian Wang:
Zero-Reference Fractional-Order Low-Light Image Enhancement Based on Retinex Theory. 1-6 - Tereza Paterova, Michal Prauzek, Jaromir Konecny:
Data-Driven Self-Learning Controller Design Approach for Power-Aware IoT Devices based on Double Q-Learning Strategy. 1-7 - Kyle Erwin, Andries P. Engelbrecht:
Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization. 1-8 - Tao Gao, Xiao Bai, Liang Zhang, Jian Wang:
Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization. 1-8 - Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. 1-8 - Duncan Kampert, Ana Lucia Varbanescu, Matthias Müller-Brockhausen, Aske Plaat:
Mimicking the Human Approach in the Game of Hive. 1-8 - Elnaz Limouchi, Imad Mahgoub:
Reinforcement Learning-assisted Threshold Optimization for Dynamic Honeypot Adaptation to Enhance IoBT Networks Security. 1-7 - Shuo Yang, Michael Barlow, Erandi Lakshika, Kathryn Kasmarik:
Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model. 1-9 - Mathias Minos-Stensrud, Hans Jonas Fossum Moen, Jan Dyre Bjerknes:
Information sharing in multi-agent search and task allocation problems. 1-7 - Rohit Salgotra, Supreet Singh, Urvinder Singh, Sriparna Saha, Amir H. Gandomi:
Hybridizing Cuckoo Search with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites. 1-8 - Shengjun Zhang, Colleen P. Bailey:
Accelerated Primal-Dual Algorithm for Distributed Non-convex Optimization. 1-8 - Iron Tessaro, Roberto Zanetti Freire, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Space and Time Efficiency Analysis of Data-Driven Methods Applied to Embedded Systems. 1-8 - Zhaoyang Liu, Tianchun Xiang, Tianhao Wang, Chaoxu Mu:
Cooperative Optimization Strategy for Distributed Energy Resource System using Multi-Agent Reinforcement Learning. 1-6 - Ricardo Magalhães, Miguel S. E. Martins, Susana M. Vieira, Filipe Santos, João M. C. Sousa:
Encoder-Decoder Neural Network Architecture for solving Job Shop Scheduling Problems using Reinforcement Learning. 1-8 - John C. Gallagher, Monica Sam:
Improvements to Speed and Efficacy in Non-Stationary Learning in a Flapping-Wing Air Vehicle: Constrained and Unconstrained Flight. 1-8 - Nitin Naik, Paul Grace, Paul Jenkins:
An Attack Tree Based Risk Analysis Method for Investigating Attacks and Facilitating Their Mitigations in Self-Sovereign Identity. 1-8 - Huansheng Ning, Hang Wang, Wenxi Wang, Xiaozhen Ye, Jianguo Ding, Per Backlund:
A Review on Serious Games in E-learning. 1-8 - Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. 1-8 - Eric Innocenti, Marielle Delhom, Corinne Idda, Pierre-Régis Gonsolin, Dominique Urbani:
Agent-Based Modelling of the spread of COVID-19 in Corsica. 1-8 - Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera:
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. 1-7 - Seham Abd Elkader, Michael Barlow, Erandi Lakshika:
Subject and Activity-wise Performance for Activity Independent Person Recognition. 1-8 - Alexander Fiabane do Rego, Aurora T. R. Pozo:
Influence of a GRASP Initialization on the Performance of the Hybrid Genetic Search with Adaptive Diversity Control. 1-8 - Julio J. Valdés, Antonio Pou:
A Machine Learning - Explainable AI approach to tropospheric dynamics analysis using Water Vapor Meteosat images. 1-8 - Rintarou Mizuno, Sorach Nakazawa, Yohei Nakada:
Simulator of Vehicle-Mounted Camera Video to Verify Dynamic Saliency Maps for Predicting Drivers' Gaze Points. 1-6 - Hepeng Li, Zhenhua Wang, Lusi Li, Haibo He:
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning. 1-8 - Bing Jia, Haodong Cen, Xi Luo, Shuai Liu, Khan Muhammad, Amir H. Gandomi, Victor Hugo C. de Albuquerque:
An Online Intelligent Task Pricing Mechanism Based on Reverse Auction in Mobile Crowdsensing Networks for the Internet of Things. 1-6 - Hussain Alibrahim, Simone A. Ludwig:
Image Encryption Algorithm based on Particle Swarm Optimization and Chaos Logistic Map. 1-8 - Dogan Aykas, Siamak Mehrkanoon:
Multistream Graph Attention Networks for Wind Speed Forecasting. 1-8 - Vishal Shenoy, Sachin B. Malik:
CovXr: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning. 1-6 - Michael Lutz, Sanjana Gadaginmath, Natraj Vairavan, Phil Mui:
Examining Political Bias within YouTube Search and Recommendation Algorithms. 1-7