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ORCIDSSCI 2018: Bangalore, India
- IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 18-21, 2018. IEEE 2018, ISBN 978-1-5386-9276-9
- Olayinka Idowu Oduntan, Parimala Thulasiraman:
Hybrid Metaheuristic Algorithm for Clustering. 1-9 - Syed Raazi Rizvi, Shahryar Rahnamayan:
Interactive Evolutionary Parameter Optimization for Eulerian Video Magnification. 10-16 - Dusan Fister, Iztok Fister, Timotej Jagric, Iztok Fister Jr.
, Janez Brest:
A novel self-adaptive differential evolution for feature selection using threshold mechanism. 17-24 - Vanishri Arun, V. Prajwal, Murali Krishna, B. V. Arunkumar, S. K. Padma, V. Shyam:
Neural Network in a Projection Learning framework for Depression classification in MYNAH cohort. 25-32 - Robert Phan, Thoai Man Luu, Rachel Davey, Girija Chetty:
Deep Learning Based Biomedical NER Framework. 33-40 - Vanishri Arun, Prajwal V., Murali Krishna, B. V. Arunkumar, S. K. Padma, V. Shyam:
A Boosted Machine Learning Approach For Detection of Depression. 41-47 - Pratyush Kumar, Muktabh Mayank Srivastava:
Example Mining for Incremental Learning in Medical Imaging. 48-51 - Jyoti Singh Kirar, R. K. Agrawal:
Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces. 52-59 - Hugo Manuel Proença, Ruben Klijn, Thomas Bäck, Matthijs van Leeuwen:
Identifying flight delay patterns using diverse subgroup discovery. 60-67 - Yi-Bin Cheng, Ting Huang, Huntley Ting Huang, Yue-Jiao Gong, Jun Zhang:
Multi-Population Ant Colony System for Multiple Path Planning of Food Delivery Applications. 68-73 - Kevin Daftary, Rushabh Kapadia, Dharmit Prajapati, Mahesh Shirole:
Routed: A Dynamic Bus Scheduling System. 74-82 - Fareed Qararyah, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Shantanu Rajora, Chin-Teng Lin, Mukesh Prasad:
A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System. 83-87 - Ramesh Ramasamy Pandi, Songguang Ho, Sarat Chandra Nagavarapu, Justin Dauwels:
Deterministic Annealing for Depot optimization: Applications to the Dial-A-Ride Problem. 88-95 - Hamzah Al Najada, Imad Mahgoub, Imran Mohammed:
Highway Cluster Density and Average Speed Prediction in Vehicular Ad Hoc Networks (VANETs). 96-103 - Ahmed Awad, Baker Abdalhaq, Amjad Hawash, Douglas Johnson:
A Comparative Analysis of Binary Decision Diagram Reordering Algorithms for Reversible Circuit Synthesis. 104-111 - Jens Weise, Steven Benkhardt, Sanaz Mostaghim:
A Survey on Graph-based Systems in Manufacturing Processes. 112-119 - Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. 120-127 - Vishnu Swaroopji Masampally, Aditya Pareek, Venkataramana Runkana:
Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor. 128-135 - Yan M. Yufik:
GNOSTRON: a framework for human-like machine understanding. 136-145 - Praveen Kumar Muthusamy, Matthew Garratt, Hemanshu Roy Pota, Jiefei Wang, Jia Ming Kok:
Bidirectional Fuzzy Brain Emotional Learning Control for Aerial Robots. 146-153 - Ananya Paul, Tejpratap G. V. S. L:
A Computationally Efficient Neural Network For Faster Image Classification. 154-159 - Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi:
Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model. 160-167 - Petr Husek:
Monotonicity conditions for radial basis function networks. 168-173 - Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar:
A comparative study of meta-heuristic algorithms for solving UAV path planning. 174-181 - Vikas Chauhan, Aruna Tiwari:
On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning. 182-188 - Caro Fuchs, Els Vlooswijk, Uzay Kaymak, Anna Wilbik:
The understanding of the quantifiers 'many' and 'most'. 189-195 - Qin Chang, Junze Wang, Huaqing Zhang, Lina Shi, Jian Wang, Nikhil R. Pal:
Structure Optimization of Neural Networks with L1 Regularization on Gates. 196-203 - Miriam Pescador-Rojas, Denis Pallez, Carlos Ignacio Hernandez Castellanos, Carlos A. Coello Coello:
Studying the Effect of Robustness Measures in Offline Parameter Tuning for Estimating the Performance of MOEA/D. 204-211 - Madhuleena Dasgupta, Amit Konar, Atulya K. Nagar:
Online Prediction of Dopamine Concentration Using EEG-Induced Type-2 Fuzzy Abduction. 212-218 - Juan Antonio Guerrero, Ginés Moreno, José Antonio Riaza, Javier Sanchez:
Smart Design of Similarity Relations for Fuzzy Logic Programming Environments. 220-227 - Umesh Gupta, Deepak Gupta, Mukesh Prasad:
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine. 228-235 - Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic. 236-241 - Prasanna Date, Christopher D. Carothers, James A. Hendler, Malik Magdon-Ismail:
Efficient Classification of Supercomputer Failures Using Neuromorphic Computing. 242-249 - Akhil Gudivada, Nasseh Tabrizi:
A Literature Review on Machine Learning Based Medical Information Retrieval Systems. 250-257 - Mousumi Laha, Amit Konar, Pratyusha Rakshit, Susmita Chaki, Atulya K. Nagar:
Understanding the Biological Underpinning of Auditory Perception for Vowel Sounds Using a Type-2 Fuzzy Neural Network. 258-265 - Chaitanya Dwivedi, Divyanshu Kalra, Divesh Naidu, Swati Aggarwal:
Keystroke dynamics based biometric authentication: A hybrid classifier approach. 266-273 - Sathish A. P. Kumar, Michael A. Brown:
Spatio-Temporal Reasoning within a Neural Network framework for Intelligent Physical Systems. 274-280 - Nagacharan Teja Tangirala, Anuj Abraham, Apratim Choudhury, Pranjal Vyas, Rongkai Zhang, Justin Dauwels:
Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication. 281-286 - Weizhen Sun, Jielong Guo, Zeli Wang, Li Fang, Yuanxiang Li, Fengxiang Wang, Xian Wei:
Point Cloud Semantic Segmentation Algorithm Based on Multi-information Markov Random Field. 287-294 - Oscar Galindo, Vladik Kreinovich, Olga Kosheleva:
Current Quantum Cryptography Algorithm Is Optimal: A Proof. 295-300 - Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich:
Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study. 301-304 - Adam Robson, Li Zhang:
Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection. 305-311 - Kais Zaman, Gulam Kibria:
A New Approach to Multidisciplinary System Analysis under Aleatory Uncertainty. 312-319 - Shibshankar Dey, Kais Zaman:
Dimension Reduction-based Reliability Analysis for Dependent Interval Variables. 320-326 - Ravinithesh Reddy Annapureddy, Arya K. Bhattacharya, Niranjan Reddy M:
Adaptive Critic Design for Extreme Learning Machines applied to noisy and drifting industrial processes. 327-334 - Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems. 335-341 - Pallabi Saikia, Rashmi Dutta Baruah:
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems. 342-349 - Min Wang, Aya Hussein, Raul Fernandez Rojas, Kamran Shafi, Hussein A. Abbass:
EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction. 350-357 - Leszek Pecyna, Angelo Cangelosi:
Influence of Pointing on Learning to Count: A Neuro-Robotics Model. 358-365 - Ganeshsiva Subramaniam, Janhavi Verma, Nikhil Chandrasekhar, Narendra K. C., Koshy George:
Generating Playlists on the Basis of Emotion. 366-373 - Praveen Vijai, Bagavathi Sivakumar P.:
Performance comparison of feature reduction techniques in-terms of compactness, computation time and accuracy. 374-380 - Muhammad Umer, Christopher Frederickson, Robi Polikar:
Adversarial Poisoning of Importance Weighting in Domain Adaptation. 381-388 - Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis:
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. 389-396 - Sharun S. Thazhackal, V. Susheela Devi:
A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model. 397-404 - Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi:
Efficient k-Anonymization through Constrained Collaborative Clustering. 405-411 - Parashjyoti Borah, Deepak Gupta, Mukesh Prasad:
Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine. 412-419 - Tajul Rosli Bin Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria:
Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. 420-426 - Vilém Novák:
Intermediate quantifiers in presence of partial fuzzy sets. 427-433 - Mikel Sesma-Sara, Cédric Marco-Detchart, Julio Lafuente, Antonio Roldán, Radko Mesiar, Humberto Bustince:
Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators. 434-440 - José M. Merigó, Enrique Herrera-Viedma, Ronald R. Yager, Janusz Kacprzyk:
A Bibliometric Overview of the Research Impact of Lotfi A. Zadeh. 441-446 - Aditya Kompella, Raghavendra V. Kulkarni:
Co-saliency Detection via Extremely Weakly Supervised Convolutional Neural Network. 447-454 - Sarthak Agarwal, Vaibhav Saxena, Vaibhav Singal, Swati Aggarwal:
LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques. 455-462 - Chun-Fang Su, Li-Chen Fu, Yi-Wei Chien, Ting-Ying Li:
Activity Recognition System for Dementia in Smart Homes based on Wearable Sensor Data. 463-469 - Dylan Blok, Jacob Pettigrew, Thecla Schiphorst, Herbert H. Tsang:
Human Pose Detection Through Searching in 3D Database With 2D Extracted Skeletons. 470-476 - Lidia Ghosh, Sayantani Ghosh, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
Decoding of EEG Signals Using Deep Long Short-Term Memory Network in Face Recognition Task. 477-483 - Anwesha Khasnobish, Dwaipayan Sardar, Monalisa Pal, Atulya K. Nagar:
Analysing Vibrotactually Stimulated EEG Signals to Comprehend Object Shapes. 484-490 - Mousumi Laha, Amit Konar, Pratyusha Rakshit, Atulya K. Nagar:
EEG-Analysis for Classification of Touch-Induced Affection by Type-2 Fuzzy Sets. 491-498 - Beatriz A. Garro, Rocio Salazar-Varas, Roberto Antonio Vázquez:
EEG Channel Selection using Fractal Dimension and Artificial Bee Colony Algorithm. 499-504 - Neethu Robinson, Kavitha P. Thomas, A. Prasad Vinod, S. Sundaram:
Classification of unilateral motor tasks using spectral features of EEG. 505-509 - Christoph Doell, Sarah E. Donohue, Christian Borgelt:
Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG signals. 510-517 - Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Human Pose Estimation in Real Traffic Scenes. 518-523 - Tatiana Tambouratzis, Dionysios Chionis, Abdelhamid Dokhane:
General Regression Neural Networks for the Concurrent, Timely and Reliable Identification of Detector Malfunctions and/or Nuclear Reactor Deviations from Steady-State Operation. 524-531 - Yongquan Xie, Kexun Chen, Yi Lu Murphey:
Real-time and Robust Driver Yawning Detection with Deep Neural Networks. 532-538 - Xishuai Peng, Yuanxiang Li, Yi Lu Murphey, Xian Wei, Jianhua Luo:
Domain Adaptation with One-step Transformation. 539-546 - Yunkai Liu, Yuanxiang Li, Jiawei Liu, Xishuai Peng, Yongjun Zhou, Yi Lu Murphey:
FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway. 547-554 - Alexander Breg, Yi Lu Murphey, Takchoi Yu:
Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data. 555-560 - Erich Christian Teppan:
Dispatching Rules Revisited-A Large Scale Job Shop Scheduling Experiment. 561-568 - Shu Luo, Chongdang Liu, Linxuan Zhang, Yushun Fan:
An Improved Nondominated Sorting Genetic Algorithm-II for Multi-objective Flexible Job-shop Scheduling Problem. 569-577 - Quang-Vinh Dang, Hana Rudová:
Enhanced Scheduling for Real-Time Traffic Control. 578-585 - Rahul Nath, Amit Rauniyar, Pranab K. Muhuri, Amit K. Shukla:
A Novel Bilevel Formulation for Pollution Routing Problem. 586-562 - Divyam Aggarwal, Dhish Kumar Saxena, Michael Emmerich, Saaju Paulose:
On Large-Scale Airline Crew Pairing Generation. 593-600 - M. Prashanth Reddy, Ranjan Ganguli:
Enhancement structures for the bat algorithm. 601-608 - Irani Acharjamayum, Ripon Patgiri, Dhruwajita Devi:
Blockchain: A Tale of Peer to Peer Security. 609-617 - Fouzi Harrou, Benamar Bouyeddou, Ying Sun, Benamar Kadri:
Detecting cyber-attacks using a CRPS-based monitoring approach. 618-622 - Nitin Naik, Paul Jenkins, Nick Savage:
Threat-Aware Honeypot for Discovering and Predicting Fingerprinting Attacks Using Principal Components Analysis. 623-630 - Hamzah Al Najada, Imad Mahgoub, Imran Mohammed:
Cyber Intrusion Prediction and Taxonomy System Using Deep Learning And Distributed Big Data Processing. 631-638 - Dylan J. Gunn, Kaushik Roy, Kelvin S. Bryant:
Simulated Cloud Authentication Based on Touch Dynamics with SVM. 639-644 - Ruy Luiz Milidiú, Rafael Henrique Santos Rocha:
Structured Prediction Networks through Latent Cost Learning. 645-649 - Yash Vijay, Anurag Sengupta, Koshy George:
A Statistical Evaluation of Vector-space Models for Text Categorisation. 650-657 - Zhengzhong Liang, Gregory Ditzler:
The Impact of an Adversary in a Language Model. 658-665 - Bhaskar Dhariyal, Vadlamani Ravi, Kumar Ravi:
Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids. 666-671 - Jamil Al-Sawwa, Simone A. Ludwig:
Centroid-Based Particle Swarm Optimization Variant for Data Classification. 672-679 - Madhushi Niluka Bandara, Sugandima Weragoda, Mahendra Piraveenan, Dharshana Kasthurirathna:
Overlay Community detection using Community Networks. 680-687 - Tian Tian, Su Yang, Dunwei Gong:
An Enhanced Set-based Evolutionary Algorithm for Generating Test Data that Cover Multiple Paths of a Parallel Program*. 688-695 - Yashesh D. Dhebar, Kalyanmoy Deb:
Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms. 696-703 - Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters:
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. 704-711 - Johannes Lengler, Ulysse Schaller:
The (1+1)-EA on Noisy Linear Functions with Random Positive Weights. 712-719 - C. P. Pramod, G. N. Pillai:
A Linguistically Interpretable ELANFIS for Classification Problems. 720-727 - Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco:
Forward Noise Adjustment Scheme for Data Augmentation. 728-734 - Ashraf M. Abdelbar, Khalid M. Salama, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
An Adaptive Recombination-Based Extension of the iMOACOR Algorithm. 735-742 - Yann Pochon, Rolf Dornberger, Vivienne Jia Zhong, Safak Korkut:
Investigating the Democracy Behavior of Swarm Robots in the Case of a Best-of-n Selection. 743-748 - Lingzhi Han, Hai-Lin Liu, Fangqing Gu:
An Objective Reduction Algorithm based on Non-dominated Solution Pairs. 749-754 - Anas Al-Tirawi, Robert G. Reynolds:
Using Common Value Auction In Cultural Algorithm to Enhance Robustness and Resilience of Social Knowledge Distribution Systems. 755-764 - Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
On the Performance Significance of Boundary Strategies for Firefly Algorithm. 765-769 - Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy:
Why Simple Population Restart Does Not Work in PSO. 770-776 - Tanuka Bhattacharjee, Sriparna Saha, Amit Konar, Atulya K. Nagar:
Static Video Summarization Using Artificial Bee Colony optimization. 777-784 - Hossein Malekmohamadi:
Deep Learning Based Photometric Stereo from Many Images and Under Unknown Illumination. 785-790 - Soumabha Bhowmick, Alok Kanti Deb, Jayanta Mukhopadhyay:
Monocular Vision based Topological Map Generation in Real-time. 791-798 - P. V. Pushpa, Reshma Riyaz:
Internet of Things based Context Aware Remote Health Care Services. 799-806 - Vasily Sachnev, B. S. Mahanand:
A Cognitive Ensemble Classifier based on Risk Sensitive Hinge Loss Function for Alzheimer's Disease diagnosis in early stages. 807-812 - Eoin Martino Grua, Mark Hoogendoorn:
Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and Wellbeing. 813-820 - Philip J. Vance, Sonya A. Coleman, Dermot Kerr, Leeanne Lindsay, B. J. Taylor, E. P. Kerr, Bryan Gardiner, Thomas Martin McGinnity, Chengdong Wu:
Transparent Modelling of Risk Assessment factors for Assisted Living. 821-827 - J. Siva Ramakrishna, Hariharan Ramasangu:
Functional Connectivity Analysis of Default Mode Network for Healthy and Unhealthy Brains. 828-835 - Danielle Hooijenga, Raksmey Phan, Vincent Augusto, Xiaolan Xie, Abdesslam Redjaline:
Discriminant analysis and feature selection for emergency department readmission prediction. 836-842 - James Wilson, Jon Timmis, Andy M. Tyrrell:
A Hormone-Inspired Arbitration System For Self Identifying Abilities Amongst A Heterogeneous Robot Swarm. 843-850 - Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben:
Benefits of Social Learning in Physical Robots. 851-858 - Milan Jelisavcic, Karine Miras, A. E. Eiben:
Morphological Attractors in Darwinian and Lamarckian Evolutionary Robot Systems. 859-866 - Karine Miras, Arwin Gansekoele, Kyrre Glette, A. E. Eiben:
Insights in evolutionary exploration of robot morphology spaces. 867-874 - Erik Aaron Hansen, Stefano Nichele, Anis Yazidi, Hårek Haugerud, Asieh Abolpour Mofrad, Alex Alcocer:
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. 875-883 - Rodrigo Moreno, Frank Veenstra, David Silvera, Julian Franco, Oscar Gracia, Ernesto Córdoba, Jonatan Gómez, Andrés Faiña:
Automated Reconfiguration of Modular Robots Using Robot Manipulators. 884-891 - Chuan-Yu Chang, Tzu-Yang Chen, Pau-Choo Chung:
Semi-supervised Learning Using Generative Adversarial Networks. 892-896 - Chirath Pathiravasam, Ganesh K. Venayagamoorthy:
Comparison of Learning Cellular Computational Networks with EKF and CPSO for Multi-Location Wind Speed Prediction. 897-904 - Ankit Kumar, Reshma Rastogi:
Self-Attention Enhanced Recurrent Neural Networks for Sentence Classification. 905-911 - Ilianna Kollia, Stefanos D. Kollias:
A Deep Learning Approach for Load Demand Forecasting of Power Systems. 912-919 - Joshua Gaston, Mina Narayanan, Gerry V. Dozier, D. Lisa Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Jinsheng Xu:
Authorship Attribution vs. Adversarial Authorship from a LIWC and Sentiment Analysis Perspective. 920-927 - Mina Narayanan, Joshua Gaston, Gerry V. Dozier, D. Lisa Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Kelvin S. Bryant:
Adversarial Authorship, Sentiment Analysis, and the AuthorWeb Zoo. 928-932 - Joshua Gaston, Mina Narayanan, Gerry V. Dozier, D. Lisa Cothran, Clarissa Arms-Chavez, Marcia Rossi, Michael C. King, Jinsheng Xu:
Authorship Attribution via Evolutionary Hybridization of Sentiment Analysis, LIWC, and Topic Modeling Features. 933-940 - Rajkumar Verma, José M. Merigó, Niti Mittal:
Triangular Fuzzy Partitioned Bonferroni Mean Operators and Their Application to Multiple Attribute Decision Making. 941-949 - Lidia Ghosh, Reshma Kar, Amit Konar, Aruna Chakraborty, Atulya K. Nagar:
Identification of Brain Activation Regions in Inductive Learning Based Scientific Creativity Test. 950-957 - Vikas Palakonda, Samira Ghorbanpour, Rammohan Mallipeddi:
Pareto Dominance-based MOEA with Multiple Ranking methods for Many-objective Optimization. 958-964 - Xiao-Bing Hu, Hang Li, Jun Zhou, Ming-Kong Zhang, Jian-Qin Liao:
Finding all Pareto Optimal Paths for Dynamical Multi-Objective Path optimization Problems. 965-972 - Shreya Shrestha Meel, Sayantan Adhikary, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Multi-Robot Box-Pushing Using VIKOR Induced Particle Swarm optimization. 973-980 - Samira Ghorbanpour, Vikas Palakonda, Rammohan Mallipeddi:
Ensemble of Pareto-based Selections for Many-objective optimization. 981-988 - Hideyasu Sasaki:
Particle Swarm optimization Describes Ant Nest Move at Low Participation Rate. 989-996 - Eid Albalawi, Parimala Thulasiraman, Ruppa K. Thulasiram:
HGLPSO: Hybrid Genetic Learning PSO and its Applications to Task Matching on Large-Scale Systems. 997-1004 - Justin van Heek, Jack Park, Xavier Yu, Herbert H. Tsang:
An Evaluation Study of Recognizing Conducting Gesture Using Computational Intelligence Techniques. 1005-1012 - Rajesh K, Atul Negi:
Heuristic Based Learning of Parameters for Dictionaries in Sparse Representations. 1013-1019 - Irina Perfilieva, Petr Hurtík:
Reduction with Application to Pattern Recognition in Large Databases. 1020-1026 - Ayman M. Abo El-Maaty, Amr G. Wassal:
Hybrid GA-PCA Feature Selection Approach for Inertial Human Activity Recognition. 1027-1032 - Andrew Abel, Chengxiang Gao, Leslie S. Smith, Roger Watt, Amir Hussain:
Fast Lip Feature Extraction Using Psychologically Motivated Gabor Features. 1033-1040 - David J. D. Hampson, Herbert H. Tsang:
Incorporating Dynamic Exploration Strategy for RNA Design. 1041-1048 - Hassan B. Kazemian, Cedric Maxime Grimaldi:
Cascading classifier application for topology prediction of TMB proteins. 1049-1055 - Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Prediction of Protein Complexes Using an Evolutionary Approach. 1056-1063 - Anjali Bhavan, Swati Aggarwal:
Stacked Generalization with Wrapper-Based Feature Selection for Human Activity Recognition. 1064-1068 - Akin Gunduz, Tarek Najjar:
Analysis Eye Movements During Reading by Machine Learning Algorithms: A Review Paper. 1069-1075 - Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. 1076-1083 - Ali Abuassal, Gianluca Tempesti, Martin A. Trefzer:
Artificial bee colony-inspired run-time task management for many-core systems. 1084-1091 - Malachy McElholm, Jim Harkin, Junxiu Liu, Liam McDaid:
Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs. 1092-1097 - Yamin Hu, Wenjian Luo:
Robotic Immune Systems: An Architecture. 1098-1103 - Fan Zhang, Jin Yang, Tao Li, Fangdong Zhu:
dnyNSA: A Novel Real-Value Based Negative Selection Algorithm. 1104-1109 - Ran Liu, Xiang Wang, Can Wang:
A Two-Factor Authentication Scheme based on Negative Databases. 1110-1115 - Ran Liu, Mengxi Xie, Siqi Sun:
Reconstructing positive surveys from negative surveys by improved artificial immune network. 1116-1121 - Pierre Parrend, Fabio Guigou, Julio Navarro, Aline Deruyver, Pierre Collet:
For a refoundation of Artificial Immune System research: AIS is a Design Pattern. 1122-1129 - Ziyue Wang, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Ant Brood Clustering on Intel Xeon Multi-core: Challenges and Strategies. 1126-1233 - Ping Lin, Jin Yang, Tao Li, Lei Ai:
An immune based dynamic risk control system. 1130-1137 - Mohammad Jafari, Hao Xu:
A Game Theoretic Based Biologically-Inspired Distributed Intelligent Flocking Control for Multi-UAV Systems with Network Imperfections. 1138-1144 - Ming Feng, Hao Xu:
Multi-Robot Enhanced MANET Routing with Situation Aware Online Reinforcement Learning. 1145-1150 - Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering:
Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants. 1151-1158 - Remi Niel, Marco A. Wiering:
Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game. 1159-1166 - Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang:
A Review of Computational Intelligence for StarCraft AI. 1167-1173 - Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu:
An Autonomous Driving Experience Platform with Learning-Based Functions. 1174-1179 - Hiroaki Fukumoto, Akira Oyama:
Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme. 1180-1187 - Rayan Hussein, Proteek Chandan Roy, Kalyanmoy Deb:
Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization. 1188-1195 - Katsuhiro Sekine, Tomoaki Tatsukawa:
A Parametric Study of Crossover Operators in Multi-objective Evolutionary Algorithm. 1196-1203 - G. A. Vijayalakshmi Pai:
Multi-objective Metaheuristics for Managing Futures Portfolio Risk. 1204-1211 - Ting Huang, Yue-Jiao Gong, Jun Zhang:
Seeking Multiple Solutions of Combinatorial optimization Problems: A Proof of Principle Study. 1212-1218 - Akshat Shetty, Adhrit Shetty, Kevin Sijo Puthusseri, Radha Shankaramani:
An Improved Ant Colony optimization Algorithm: Minion Ant(MAnt) and its Application on TSP. 1219-1225 - Michalis Mavrovouniotis, Georgios Ellinas, Marios M. Polycarpou:
Ant Colony optimization for the Electric Vehicle Routing Problem. 1234-1241 - Wenjie Zhu, Wenjian Luo, Li Ni, Nannan Lu:
Swarm Clustering Algorithm: Let the Particles Fly for a while. 1242-1249 - Sonaal Kant, Muktabh Mayank Srivastava:
Towards Automated Tuberculosis detection using Deep Learning. 1250-1253 - Aashutosh Ganesh, Noel Rohan Vasanth, Koshy George:
Staining of Histopathology Slides Using Image Style Transfer Algorithm. 1254-1260 - Dhruv Sharma, Sarim Zafar, Morteza Babaie, Hamid R. Tizhoosh:
Facial Recognition with Encoded Local Projections. 1261-1268 - Shane Reid, Sonya A. Coleman, Dermot Kerr, Philip J. Vance, Siobhan O'Neill:
Feature Extraction with Computational Intelligence for Head Pose Estimation. 1269-1274 - Eldho Abraham:
Moiré Pattern Detection using Wavelet Decomposition and Convolutional Neural Network. 1275-1279 - Qian Chen, Iti Chaturvedi, Soujanya Poria, Erik Cambria, Lorenzo Malandri:
Learning Visual Concepts in Images Using Temporal Convolutional Networks. 1280-1284 - Danyuan Ho, Diyana Hamzah, Soujanya Poria, Erik Cambria:
Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English. 1285-1291 - David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria:
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis. 1292-1298 - Kyle Madden, Jim Harkin, Liam McDaid, Chris D. Nugent:
Adding Security to Networks-on-Chip using Neural Networks. 1299-1306 - Fabien Vannel, Diego Barrientos, Joachim Schmidt, Christian Abegg, Damien Buhlmann, Andres Upegui:
SCALP: Self-configurable 3-D Cellular Adaptive Platform. 1307-1312 - Michal Wiglasz, Lukás Sekanina:
Cooperative Coevolutionary Approximation in HOG-based Human Detection Embedded System. 1313-1320 - Saptarshi Sengupta, Richard A. Peters II:
Learning to Track On-The-Fly Using a Particle Filter with Annealed-Weighted QPSO Modeled after a Singular Dirac Delta Potential. 1321-1330 - Tsuyoshi Sumimoto, Kazuhisa Chiba, Masahiro Kanazaki:
Hypervolume-Based Evolutionary Many-Disciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster. 1331-1338 - Linan Cao, Simon J. Bale, Martin A. Trefzer:
Instrumenting Parametric Physical Layout for Multi-objective Optimisation. 1339-1345 - Syamala Krishnannair, Chris Aldrich:
Statistical process monitoring of a base metal flotation plant using a Gaussian mixture model and dissimilarity scale based singular spectrum analysis. 1346-1351 - Amine Dakkoune, Lamiae V. Hassimi, Sébastien Leveneur, Lionel Estel, Dimitri Lefebvre:
Model-based fault detection and isolation for chemical processes: Application to the prevention of thermal runaway. 1352-1358 - Arindam Ray, Kaustuv Mukherji, Amit Konar, Atulya K. Nagar:
Type-2 Fuzzy Logic Induced Gesture Recognition for Robot Task Planning. 1359-1366 - Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. 1367-1373 - Shrikanth M. Yadav, Koshy George:
On the Use of Dropouts in Neural Networks for System Identification and Control. 1374-1381 - Marcus de Carvalho, Mahardhika Pratama:
Improving shallow neural network by compressing deep neural network. 1382-1387 - Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. 1388-1395 - Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh:
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. 1396-1402 - Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering:
Extra Domain Data Generation with Generative Adversarial Nets. 1403-1410 - Davide Bacciu, Antonio Bruno:
Text Summarization as Tree Transduction by Top-Down TreeLSTM. 1411-1418 - Dhruv Bhandari, Sandeep Paul:
Perception Net: A Multimodal Deep Neural Network for Machine Perception. 1419-1426 - Indrajeet Mishra, Giang Dao, Minwoo Lee:
Visual Sparse Bayesian Reinforcement Learning: A Framework for Interpreting What an Agent Has Learned. 1427-1434 - Mohammad Jafari, Hao Xu, Luis Rodolfo García Carrillo:
Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment. 1435-1440 - Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Adaptive Optimal Distributed Control of Linear Interconnected Systems. 1441-1446 - Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. 1447-1452 - Zejian Zhou, Hao Xu:
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. 1453-1460 - Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram:
Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning. 1461-1465 - Rinki Solanki, Md. Mustafizur Rahman, Meenakshi Kaushal, Q. M. Danish Lohani, Pranab K. Muhuri:
A novel distance measure over intuitionistic fuzzy sets with its applications in Pattern Recognition. 1466-1471 - Victor Gerardo Alfaro-Garcia, José M. Merigó, Leobardo Plata-Perez, Gerardo G. Alfaro Calderón:
On Ordered Weighted Logarithmic Averaging Operators and Distance Measures. 1472-1477 - Wojciech Salabun, Artur Karczmarczyk, Jaroslaw Watróbski, Jaroslaw Jankowski:
Handling Data Uncertainty in Decision Making with COMET. 1478-1484 - Wojciech Salabun, Artur Karczmarczyk, Jaroslaw Watróbski:
Decision-Making using the Hesitant Fuzzy Sets COMET Method: An Empirical Study of the Electric City Buses Selection. 1485-1492 - Bhathiya Rathnayake, K. M. K. Weerakoon, G. M. R. I. Godaliyadda, M. P. B. Ekanayake:
Toward Finding Optimal Source Dictionaries for Single Channel Music Source Separation Using Nonnegative Matrix Factorization. 1493-1500 - Mohendra Roy, Sumon Kumar Bose, Bapi Kar, Pradeep Kumar Gopalakrishnan, Arindam Basu:
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring. 1501-1507 - Faiza Bukenya, Amir Awwad, Jinming Duan, Josef Ehling, Henryk Faas, Li Bai:
Three-dimensional Segmentation of Blood Vessels from Intensity In-homogeneous Medical Images. 1508-1514 - Rajkumar Verma, José M. Merigó, Manoj Sahni:
On Generalized Fuzzy Jensen-Exponential Divergence and Its Application to Pattern Recognition. 1515-1519 - Krishna Kumar N, R. Savitha, Abdullah Al Mamun:
A Study on Dynamic Positioning System Robustness with Wave loads predictions from Deep Belief Network. 1520-1527 - Changyong Um, Jaehyeong Lee, Jongpil Jeong:
Industrial Device Monitoring and Control System based on oneM2M for Edge Computing. 1528-1533 - Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti:
On Filter Size in Graph Convolutional Networks. 1534-1541 - Luke Taylor, Geoff Nitschke:
Improving Deep Learning with Generic Data Augmentation. 1542-1547 - Aman Pal, Reshma Rastogi:
Learning TWSVM using Privilege Information. 1548-1554 - Jenin Jose, Ravi Prakash, Laxmidhar Behera:
Reward based Single Network Adaptive Critic for Optimal Kinematic Control of a Redundant Robot Manipulator. 1555-1562 - Asema Hassan, Sanaz Mostaghim:
Understanding Collective Decision-Making in Natural Swarms. 1563-1570 - Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan:
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization. 1571-1578 - A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making. 1579-1586 - Yash Vesikar, Kalyanmoy Deb, Julian Blank:
Reference Point Based NSGA-III for Preferred Solutions. 1587-1594 - Gin Chong Lee, Chu Kiong Loo, Naoki Masuyama:
Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. 1595-1601 - E. P. Kerr, Philip J. Vance, Dermot Kerr, Sonya A. Coleman, Gautham P. Das, Thomas Martin McGinnity, Diederik Paul Moeys, Tobi Delbruck:
Biological Goal Seeking. 1602-1607 - Rahul Rajan, Michael W. Otte, Donald A. Sofge:
Optimizing Multiagent Area Coverage Using Dynamic Global Potential Fields. 1608-1613 - Hiroyuki Masuta, Yusuke Nagai, Tatsuo Motoyoshi, Kei Sawai, Takumi Tamamoto, Ken'ichi Koyanagi, Toru Oshima:
Spherical optical flow in automatically controlled vehicle while cornering. 1614-1619 - Aria Jozi, Tiago Pinto, Isabel Praça, Zita A. Vale:
Day-ahead forecasting approach for energy consumption of an office building using support vector machines. 1620-1625 - Iroshani Jayawardene, Raghavendra V. Kulkarni, Ganesh Kumar Venayagamoorthy:
CI-based Analytics for Photovoltaic Power Predictions and Tie-line Bias Control in Smart Grid. 1626-1633 - Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Consumption Optimization of an Office Building using Different Approaches. 1634-1638 - Cátia Silva, Pedro Faria, Zita A. Vale:
Distributed Generation with Improved Remuneration. 1639-1644 - Cátia Silva, Pedro Faria, Zita A. Vale:
Discussing Different Clustering Methods for the Aggregation of Demand Response and Distributed Generation. 1645-1650 - Fouzi Harrou, Nabil Zerrouki, Ying Sun, Lotfi Hocini:
Monitoring land-cover changes by combining a detection step with a classification step. 1651-1655 - M. C. Chandan, H. A. Bharath:
Modelling Urban transition using Cellular Automata based Sleuth modelling. 1656-1663 - Sushant Kulkarni, Senthilnath Jayavelu, Jón Atli Benediktsson:
Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms. 1664-1669 - P. S. Prakash, Soumya K. Das, Bharath H. Aithal:
Urban building extraction using satellite imagery through Machine Learning. 1670-1675 - Sathish A. P. Kumar, Brian Xu:
A Machine Learning Based Approach to Detect Malicious Fast Flux Networks. 1676-1683 - Ripon Patgiri, Udit Varshney, Tanya Akutota, Rakesh Kunde:
An Investigation on Intrusion Detection System Using Machine Learning. 1684-1691 - Subash Poudyal, Kul Prasad Subedi, Dipankar Dasgupta:
A Framework for Analyzing Ransomware using Machine Learning. 1692-1699 - Janelle C. Mason, Kofi Kyei, Hannah Foster, Albert C. Esterline:
A Framework for Identity: Dempster-Shafer Theory the Flow and Combination of Evidence. 1700-1706 - Bin Yang, Wonjun Lee:
Human Body Odor Based Authentication Using Machine Learning. 1707-1714 - Rashmi Sahay, G. Geethakumari, Koushik Modugu, Barsha Mitra:
Traffic Convergence Detection in IoT LLNs: A Multilayer Perceptron based Mechanism. 1715-1722 - Andrzej Najgebauer, Ryszard Antkiewicz, Dariusz Pierzchala, Jaroslaw Rulka:
The Computational Intelligence Methods for the Armed Forces Capabilities Allocation Problem. 1723-1730 - Nitin Naik, Changjing Shang, Qiang Shen, Paul Jenkins:
Vigilant Dynamic Honeypot Assisted by Dynamic Fuzzy Rule Interpolation. 1731-1738 - Ha P. K. Nguyen, Ha Q. Nguyen:
Classification of Pulse Repetition Interval Modulations Using Neural Networks. 1739-1743 - Moreira F. C. Nhabangue, G. N. Pillai:
Wind Speed Forecasting Using Improved Random Vector Functional Link Network. 1744-1750 - Alexander Dockhorn, Tim Tippelt, Rudolf Kruse:
Model Decomposition for Forward Model Approximation. 1751-1757 - Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting. 1758-1763 - Paul J. Darwen:
The Varying Success of Bayesian Model Averaging: An Empirical Study of Flood Prediction. 1764-1771 - Rakesh Katuwal, Ponnuthurai N. Suganthan:
Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network. 1772-1778 - Yuya Shibata, Keita Tsuji, Chu Kiong Loo, Guanghao Sun, Yoichi Yamazaki, Takuya Hashimoto:
Vision-based HRV Measurement for HRI Study. 1779-1784 - Yuya Shimoguchi, Shirakura Seiya, Kentarou Kurashige:
Action selection of robot by human intention estimated with dynamic evaluation criterion. 1785-1792 - Sriparna Saha, Rimita Lahiri, Amit Konar, Atulya K. Nagar:
Gesture Driven Remote Robot Manoeuvre for Unstructured Environment. 1793-1800 - Hiroyuki Masuta, Tetsuya Kawamoto, Kei Sawai, Tatsuo Motoyoshi, Takumi Tamamoto, Ken'ichi Koyanagi, Toru Oshima:
Presentation Robot System with Interaction for Class. 1801-1806 - Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram:
A Hybrid Cross-Entropy Guided Genetic Algorithm for Scheduling Multi-Energy Systems. 1807-1814 - Monalisa Pal, Sanghamitra Bandyopadhyay:
Consensus of Subjective Preferences of Multiple Occupants for Building Energy Management. 1815-1822 - Ricardo Faia, Tiago Pinto, Zita A. Vale, Juan Manuel Corchado, João P. Soares, Fernando Lezama:
Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach. 1823-1829 - Tiago M. Sousa, Fernando Lezama, João P. Soares, Sérgio Ramos, Zita A. Vale:
A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids. 1830-1836 - Mohammad Asiful Hossain, Rezaul Karim, Ruppa K. Thulasiram, Neil D. B. Bruce, Yang Wang:
Hybrid Deep Learning Model for Stock Price Prediction. 1837-1844 - G. A. Vijayalakshmi Pai:
Active Portfolio Rebalancing using Multi-objective Metaheuristics. 1845-1852 - Dave Cliff:
An Open-Source Limit-Order-Book Exchange for Teaching and Research. 1853-1860 - Shashank Hegde, Vishal Kumar, Atul Singh:
Risk aware portfolio construction using deep deterministic policy gradients. 1861-1867 - Ellie Birbeck, Dave Cliff:
Using Stock Prices as Ground Truth in Sentiment Analysis to Generate Profitable Trading Signals. 1868-1875 - Arthur le Calvez, Dave Cliff:
Deep Learning can Replicate Adaptive Traders in a Limit-Order-Book Financial Market. 1876-1883 - Rahul Ambati, Chakravardhan Reddy, Smit Patel, Sandeep Tadepalli, Uttam Kumar:
Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURFFANN. 1884-1889 - Neelanshi Varia, Akanksha Dokania, Senthilnath Jayavelu:
DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV. 1890-1895 - Akanksha Dokania, Neelanshi Varia, Senthilnath Jayavelu:
EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images. 1896-1901 - Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu:
Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. 1902-1905 - Xiao-Bing Hu, Jun Zhou, Hang Li, Ming-Kong Zhang:
Finding the k Shortest Paths for Co-Evolutionary Path Optimization. 1906-1912 - Ruikang Yi, Wenjian Luo, Xin Lin, Peilan Xu:
Iterative-Lengthening and Auxiliary Search Based Particle Swarm Optimization for Online Short-term Hydrothermal Scheduling. 1913-1920 - Wenjian Luo, Juan Sun, Chenyang Bu, Ruikang Yi:
Identifying Species for Particle Swarm Optimization under Dynamic Environments. 1921-1928 - José R. Llera, Kalyanmoy Deb, Erik S. Runkle, Lihong Xu, Erik D. Goodman:
Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization. 1929-1936 - V. S. Pruthvi, Rohit Naik, B. P. Vijaya Kumar:
Prediction based Policy setting by finding significance of Attributes from the Ontological Framework in Agricultural domain. 1937-1940 - Alka Vishwa, Farookh Khadeer Hussain:
A Blockchain based approach for multimedia privacy protection and provenance. 1941-1945 - Muhammad Tanveer, Ram Bilas Pachori, Nourhevinuo Victoria Angami:
Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals. 1946-1952 - Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill:
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. 1953-1957 - Shantanu Rajora, Dong-Lin Li, Chandan Jha, Neha Bharill, Om Prakash Patel, Sudhanshu Joshi, Deepak Puthal, Mukesh Prasad:
A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance. 1958-1963 - Marco Cococcioni:
Computational Intelligence in Maritime Security and Defense: Challenges and Opportunities. 1964-1967 - Andrzej Najgebauer, Jaroslaw Rulka, Ryszard Antkiewicz, Dariusz Pierzchala:
The Method of Quantitative Assessment of the Armed Forces Line of Sight Fire Capability. 1969-1975 - Anjali Shukla, Arnab Rakshit, Amit Konar, Lidia Ghosh, Atulya K. Nagar:
Decoding of Mind-Generated Pattern Locks for Security Checking Using Type-2 Fuzzy Classifier. 1976-1981 - Danilo Cavaliere, Sabrina Senatore:
Towards an agent-driven scenario awareness in remote sensing environments. 1982-1989 - Navin K. Adhikari, Sushil J. Louis, Siming Liu, Walker Spurgeon:
Co-evolving Real-Time Strategy Game Micro. 1990-1997 - Sebastian Mai, Christoph Steup, Sanaz Mostaghim:
Simultaneous Localisation and Optimisation for Swarm Robotics. 1998-2004 - Shinjini Biswas, V. Susheela Devi:
Parallelization of Multi-label classification for large data sets. 2005-2010 - David Buckingham, Giordano B. Ferreira, Alexander Bock, Matthias Scheutz:
Comparison of the Effectiveness of Simple Agent Capabilities for an On-line Area Coverage Task. 2011-2018 - Shivli Agrawal, Yukti Kirtani, Yukti Girdhar, Swati Aggarwal:
Hindi Sentence Classification for Expressive Storytelling Systems. 2019-2025 - Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. 2026-2032 - Ruben Putter, Geoff Nitschke:
Objective versus Non-Objective Search in Evolving Morphologically Robust Robot Controllers. 2033-2040 - Sai Ajay Modukuri, Gaurav Kumar:
Adaptive Speech Recognition System Using Data From Keyboard. 2041-2044 - Bharat Richhariya, A. Sharma, Muhammad Tanveer:
Improved universum twin support vector machine. 2045-2052 - Reshma Rastogi, Hamid Safdari, Sweta Sharma:
Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers. 2053-2059 - Patryk Orzechowski, Adrian Horzyk, Janusz A. Starzyk, Jason H. Moore:
Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks. 2060-2067 - Adrian Horzyk, Janusz A. Starzyk:
Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs. 2068-2075 - Andreas Kamenz, Victoria Bibaeva, Arne Bernin, Sobin Ghose, Kai von Luck, Florian Vogt, Larissa Müller:
Classification of Physiological Data in Affective Exergames. 2076-2081 - Colin G. Johnson:
Solving the Rubik's Cube with Learned Guidance Functions. 2082-2089 - Andrea Picasso Ratto, Simone Merello, Luca Oneto, Yukun Ma, Lorenzo Malandri, Erik Cambria:
Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction. 2090-2096 - Emrah Gulay, Okan Duru:
Combinations in predictive analytics by using machine learning. 2097-2103 - Teema Leangarun, Poj Tangamchit, Suttipong Thajchayapong:
Stock Price Manipulation Detection using Generative Adversarial Networks. 2104-2111 - Daniel McGlynn, Sonya A. Coleman, Dermot Kerr, Catherine McHugh:
Day-Ahead Price Forecasting in Great Britain's BETTA Electricity Market. 2112-2116 - Amit K. Shukla, Sandeep Kumar, Bindu Mor, Pranab K. Muhuri:
Random Fuzzy Variable based Uncertainty Modelling for the Prediction of Human Development Index using CO2 Emission Data. 2117-2124 - Catherine McHugh, Sonya A. Coleman, Dermot Kerr, Daniel McGlynn:
A Linear Polynomial NARMAX Model with Multiple Factors to Forecast Day-Ahead Electricity Prices. 2125-2130 - Yoshio Taniguchi, Yoshihiko Kubota, Setsuo Tsuruta, Takayuki Muranushi, Yuko Hada Muranushi, Yoshiyuki Mizuno, Syoji Kobashi, Yoshitaka Sakurai, Rainer Knauf, Andrea Kutics:
A SVM integrated Case Based Learning Data GA for Solar Flare Prediction. 2131-2138 - Abhijit Theophilus, Snehanshu Saha, Suryoday Basak, Jayant Murthy:
A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions. 2139-2147 - Jianwei Zhou, Juan Zou, Shengxiang Yang, Gan Ruan, Junwei Ou, Jinhua Zheng:
An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance. 2148-2154 - Pratyusha Rakshit, Amit Konar, Atulya Nagar:
Self-Adaptive Sampling in Noisy Multi-objective Optimization. 2155-2162 - Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
A New Self-Organizing Map with Continuous Learning Capability. 2163-2168 - Sandhya Subramani, Vaishnavi Sridhar, Kaushal Shetty:
A Novel Approach of Neural Topic Modelling for Document Clustering. 2169-2173 - Vishal Nemade, Aditya Shastri, Kapil Ahuja, Aruna Tiwari:
Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data. 2174-2179 - Muhammad Tanveer, Ram Bilas Pachori, Nourhevinuo Victoria Angami:
Classification of seizure and seizure-free EEG signals using Hjorth parameters. 2180-2185 - Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj, Aruna Tiwari, Madhushi Verma:
Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach. 2186-2192 - Mukesh Prasad, Shantanu Rajora, Deepak Gupta, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Pranay Yadav, Prayag Tiwari, Amit Saxena:
Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System. 2193-2199 - Liang Peng, Chen Wang, Lincong Luo, Sheng Chen, Zeng-Guang Hou, Weiqun Wang:
A CPG-Inspired Assist-As-Needed Controller for an Upper-Limb Rehabilitation Robot. 2200-2206 - Aman Priyadarshi, Aastha Gupta, Swati Aggarwal:
Synthesis of Neural Networks using Entangled Neurons. 2207-2211 - Pritam Anand, Reshma Rastogi, Amisha Bharti:
A Pinball loss based Extreme Learning Machine for pattern classification. 2212-2215 - David D. Fan, Evangelos A. Theodorou, John Reeder:
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms. 2216-2222 - Emmanuel Ferreyra, Hani Hagras, Mathias Kern, Gilbert Owusu:
Enabling Field Force Operational Sustainability: A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Goal-Driven Simulation. 2223-2230 - Subhrajit Samanta, Shubhangi Ghosh, Suresh Sundaram:
A Meta-cognitive Recurrent Fuzzy Inference System with Memory Neurons (McRFIS-MN) and its Fast Learning Algorithm for Time Series Forecasting. 2231-2237 - Sweta Sharma, Reshma Rastogi:
Insensitive Zone based Pinball Loss Twin Support Vector Machine for Pattern Classification. 2238-2245 - Sweta Sharma, Reshma Rastogi:
Maximum Margin Minimum Variance Twin Support Vector Machine. 2246-2253 - Alessandro Zonta, Selmar K. Smit, Evert Haasdijk, A. E. Eiben:
Modelling Human Movements With Turing Learning. 2254-2261 - Elnaz Shafipour Yourdshahi, Plamen Angelov, Leandro Soriano Marcolino, Georgios Tsianakas:
Towards Evolving Cooperative Mapping for Large-Scale UAV Teams. 2262-2269 - Xiwen Yang, Seng-Beng Ho:
Learning Correlations and Causalities Through an Inductive Bootstrapping Process. 2270-2277 - Sonia, Prateek Vij, Rashmi Dutta Baruah:
An Experience with Multi-sensor Robot for Adaptive Human Sensing. 2278-2285 - Yoshitaka Sakurai, Yukino Ikegami, Motoki Sakai, Hiroshi Fujikawa, Setsuo Tsuruta, Avelino J. Gonzalez, Eriko Sakurai, Ernesto Damiani, Andrea Kutics, Rainer Knauf:
Visual Counseling Agent and its Evaluation. 2286-2291 - Wei Wei, Dawid Polap, Xiaohua Li, Marcin Wozniak, Junzhe Liu:
Study on Remote Sensing Image Vegetation Classification Method Based on Decision Tree Classifier. 2292-2297 - Dawid Polap, Marcin Wozniak, Robertas Damasevicius, Wei Wei:
Chest radiographs segmentation by the use of nature-inspired algorithm for lung disease detection. 2298-2303 - Steffen Limmer, Manuel Dietrich:
Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness. 2304-2311 - Matthew Duffin, John Cartlidge:
Agent-Based Model Exploration of Latency Arbitrage in Fragmented Financial Markets. 2312-2320 - Xingjia Zhang, Cheuk Yin Jeffrey Mo, Steve Y. Yang:
Bank Contagion Risk through Fire-Sales: A Heterogeneous Agent Model. 2321-2328 - Vasilios Tsalavoutis, Constantinos Vrionis, Athanasios Tolis, Dimitrios Plataniotis:
A Differential Evolution Approach for the Reliability Constrained Unit Commitment Problem. 2329-2339 - Frederick Ditliac Atiah, Mardé Helbig:
Dynamic Particle Swarm Optimization for Financial Markets. 2337-2344 - Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization. 2345-2352 - M. Prashanth Reddy, Ranjan Ganguli:
An Automated Gradient Enhanced Bat Algorithm. 2353-2360 - H. L. Praveen Raj, K. Chandrasekaran:
NEAT Algorithm for Testsuite generation in Automated Software Testing. 2361-2368
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