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ORCID12th IJCCI 2020: Budapest, Hungary
- Juan Julián Merelo Guervós, Jonathan M. Garibaldi, Christian Wagner, Thomas Bäck, Kurosh Madani, Kevin Warwick:
Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, Budapest, Hungary, November 2-4, 2020. SCITEPRESS 2020, ISBN 978-989-758-475-6
Invited Speakers
- Erdal Kayacan:
How to Address Uncertainty in Smaller, Faster, More Agile, Yet Safer Drones? IJCCI 2020: 5 - Sanaz Mostaghim:
Collective and Individual Decision-Making in Swarm Robotics. IJCCI 2020: 7 - Kalyanmoy Deb:
Rise of Evolutionary Multi-Objective Optimization: Algorithms and Applications. IJCCI 2020: 9 - Michel Verleysen:
Machine Learning with Limited Size Datasets. IJCCI 2020: 11
12th International Conference on Evolutionary Computation Theory and Applications
- Ruba Abu Khurma, Pedro A. Castillo, Ahmad Sharieh, Ibrahim Aljarah:
Feature Selection using Binary Moth Flame Optimization with Time Varying Flames Strategies. 17-27 - Conor Ryan, Michael Kwaku Tetteh, Douglas Mota Dias:
Behavioural Modelling of Digital Circuits in System Verilog using Grammatical Evolution. 28-39 - Joeri Sleegers, Daan van den Berg:
Looking for the Hardest Hamiltonian Cycle Problem Instances. 40-48 - Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner
:
XCSF for Automatic Test Case Prioritization. 49-58 - Roman Kalkreuth:
A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming. 59-70 - Aidan Murphy, Muhammad Sarmad Ali, Douglas Mota Dias, Jorge L. M. Amaral, Enrique Naredo, Conor Ryan:
Grammar-based Fuzzy Pattern Trees for Classification Problems. 71-80 - Adam Kotaro Pindur, Hitoshi Iba:
Behavioral Locality in Genetic Programming. 81-91 - Marleen de Jonge, Daan van den Berg:
Parameter Sensitivity Patterns in the Plant Propagation Algorithm. 92-99 - Guang Peng, Huaming Wu, Han Wu, Katinka Wolter:
Evolutionary Large-scale Sparse Multi-objective Optimization for Collaborative Edge-cloud Computation Offloading. 100-111 - Anton Duca, Ibrahim A. Hameed:
ACO Algorithms to Solve an Electromagnetic Discrete Optimization Problem. 115-122 - Lukas Rosenbauer, Anthony Stein, Helena Stegherr, Jörg Hähner:
Metaheuristics for the Minimum Set Cover Problem: A Comparison. 123-130 - Panagiotis C. Petrantonakis, Ioannis Kompatsiaris:
A Dimensionality Reduction Method for Data Visualization using Particle Swarm Optimization. 131-138 - Ruba Abu Khurma, Pedro A. Castillo, Ahmad Sharieh, Ibrahim Aljarah:
New Fitness Functions in Binary Harris Hawks Optimization for Gene Selection in Microarray Datasets. 139-146 - Salah Safi, Huthaifa Jawazneh, Antonio Miguel Mora, Pablo García-Sánchez, Hossam Faris, Pedro A. Castillo:
Identifying Botnets by Analysing Twitter Traffic during the Super Bowl. 147-154 - Simon Anderer, Daniel Kreppein, Bernd Scheuermann, Sanaz Mostaghim:
The addRole-EA: A New Evolutionary Algorithm for the Role Mining Problem. 155-166 - George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner:
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. 167-175 - Xuzan Liu, Yu Han, Jian Chen, Yi Cao, Shubo Wang:
Discrete Pigeon Inspired Simulated Annealing Algorithm and Contract Net Algorithm based on Multi-objective Optimization for Task Allocation of UAV Formation. 176-183 - Meghana Kshirsagar, Rushikesh Jachak, Purva Chaudhari, Conor Ryan:
GEMO: Grammatical Evolution Memory Optimization System. 184-191 - Vipul Popat, Mahsa Mahdinejad, Oscar Dalmau Cedeño, Enrique Naredo, Conor Ryan:
GA-based U-Net Architecture Optimization Applied to Retina Blood Vessel Segmentation. 192-199 - Mikhail Melnik, Ivan Dolgov, Denis A. Nasonov:
Hybrid Intellectual Scheme for Scheduling of Heterogeneous Workflows based on Evolutionary Approach and Reinforcement Learning. 200-211 - Kina Yokoyama, Yuji Sato:
Using Dominated Solutions to the Uniformity of Non-dominated Solution Distributions in NSGA-II. 212-219 - Simon P. Martin, Matthew J. Craven, John R. Woodward:
A Structured Approach to Modifying Successful Heuristics. 220-225
12th International Conference on Fuzzy Computation Theory and Applications
- Rédina Berkachy, Laurent Donzé:
Fuzzy Confidence Intervals by the Likelihood Ratio with Bootstrapped Distribution. 231-242 - Martina Danková:
Merging Partial Fuzzy Rule-bases. 243-251 - Ivor Uhliarik:
The Implementation of a Product Fuzzy DPLL Solver. 252-263 - Zoltán Erno Csajbók:
Rough Continuity Represented by Intuitionistic Fuzzy Sets. 264-274 - Anastasya S. Polyakova, Leonid Lipinskiy, Eugene Semenkin:
Researching the Efficiency of Configurations of a Collective Decision-making System on the Basis of Fuzzy Logic. 277-285 - Ronak Sharma, Mahdi Mahfouf, Olusayo Obajemu:
A Neural-Fuzzy System for Predicting the Areal Surface Metrology Parameters. 286-293 - Dina Dushnik, Alon Schclar, Amir Averbuch, Raid Saabni:
A Diffusion Dimensionality Reduction Approach to Background Subtraction in Video Sequences. 294-300 - Arnab Sircar:
Using Fuzzy Inputs to Analyze Factors in the Adoption of Electric Vehicles (EVs). 301-308 - Jamileh Yousefi:
Devising Asymmetric Linguistic Hedges to Enhance the Accuracy of NEFCLASS for Datasets with Highly Skewed Feature Values. 309-320
12th International Conference on Neural Computation Theory and Applications
- Igor Vozniak, Matthias Klusch, André Antakli, Christian Müller:
InfoSalGAIL: Visual Attention-empowered Imitation Learning of Pedestrian Behavior in Critical Traffic Scenarios. 325-337 - Luca Baldini, Alessio Martino, Antonello Rizzi:
Complexity vs. Performance in Granular Embedding Spaces for Graph Classification. 338-349 - Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Mining M-Grams by a Granular Computing Approach for Text Classification. 350-360 - Jiani Liu, Xiang Zhang, Yonggang Lu:
Improving the Training of Convolutional Neural Network using Between-class Distance. 361-367 - Muhammad Tanveer, Hung-Khoon Tan, Hui-Fuang Ng, Maylor Karhang Leung, Joon Huang Chuah:
Batch Contrastive Regularization for Deep Neural Network. 368-377 - B. I. Lyons, J. Michael Herrmann:
Reflexive Reinforcement Learning: Methods for Self-Referential Autonomous Learning. IJCCI 2020: 381-388 - Daouda Diouf, Carlos Mejia, Djibril Seck:
Soil Moisture Prediction Model from ERA5-Land Parameters using a Deep Neural Networks. 389-395 - Frederik Timme, Jochen Kerdels, Gabriele Peters:
On the Robustness of Convolutional Neural Networks Regarding Transformed Input Images. 396-403 - Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Bootstrapping a DQN Replay Memory with Synthetic Experiences. 404-411 - Giuseppe Granato, Alessio Martino, Luca Baldini, Antonello Rizzi:
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers. 412-422 - Ivan Ryzhikov, Mika Liukkonen, Ari Kettunen, Yrjö Hiltunen:
Risk Estimation in Data-driven Fault Prediction for a Biomass-fired Power Plant. 423-429 - Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Juan Julián Merelo Guervós, Pedro A. Castillo:
Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm. 430-438 - Ibrahim Almubark, Samah Alsegehy, Xiong Jiang, Lin-Ching Chang:
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data. 439-446 - Alessio Plebe, Arianna Pavone:
Neural Semantic Pointers in Context. 447-454 - Bhekisipho Twala, Raj Pillay, Ramapulana Nkoana:
Classifying Incomplete Vectors using Decision Trees. 455-463 - Kevin Swingler, Mandy Bath:
Learning Spatial Relations with a Standard Convolutional Neural Network. 464-470 - Benjamin Bocquillon, Philippe Feyel, Guillaume Sandou, Pedro Rodríguez-Ayerbe:
Computation of Neural Networks Lyapunov Functions for Discrete and Continuous Time Systems with Domain of Attraction Maximization. 471-478 - Mahmoud Elbattah, Jean-Luc Guérin, Romuald Carette, Federica Cilia, Gilles Dequen:
Generative Modeling of Synthetic Eye-tracking Data: NLP-based Approach with Recurrent Neural Networks. 479-484
Special Session on Computational Intelligence for Energy Management and Storage
- Ramón Christen, Luca Mazzola, Alexander Denzler, Edy Portmann:
Exogenous Data for Load Forecasting: A Review. 489-500 - Enrico De Santis, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. 503-511 - Emanuele Ferrandino, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi:
Nanogrids: A Smart Way to Integrate Public Transportation Electric Vehicles into Smart Grids. 512-520
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