Ponnuthurai N. Suganthan

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 153

Top Venues

Publications

Hui Yu, Kaizhou Gao, Naiqi Wu, MengChu Zhou, Ponnuthurai N. Suganthan, Shouguang Wang
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Faria Nawshin, Radwa Gad, Devrim Unal, Abdulla Khalid Al-Ali, Ponnuthurai N. Suganthan
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey. Comput. Electr. Eng. 117 (2024)
Kangjia Qiao, Jing Liang, Weifeng Guo, Zhuo Hu, Kunjie Yu, Ponnuthurai N. Suganthan
Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer. Inf. Sci. 679 (2024)
M. Sajid, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Raveendra Pilli, Tripti Goel, R. Murugan, Muhammad Tanveer, Ponnuthurai N. Suganthan
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD (2024)
Faria Nawshin, Devrim Unal, Mohammad Hammoudeh, Ponnuthurai N. Suganthan
AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks. Ad Hoc Networks 161 (2024)
Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan
Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Faria Nawshin, Romain Arnal, Devrim Unal, Ponnuthurai N. Suganthan, Lionel Touseau
Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection. AICCONF (2024)
Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR (2024)
Kangjia Qiao, Jing Liang, Kunjie Yu, Weifeng Guo, Caitong Yue, Boyang Qu, Ponnuthurai N. Suganthan
Benchmark problems for large-scale constrained multi-objective optimization with baseline results. Swarm Evol. Comput. 86 (2024)
Ruobin Gao, Maohan Liang, Heng Dong, Xuewen Luo, Ponnuthurai N. Suganthan
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art. CoRR (2024)
Oladayo S. Ajani, Dzeuban Fenyom Ivan, Daison Darlan, Ponnuthurai N. Suganthan, Kaizhou Gao, Rammohan Mallipeddi
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. Swarm Evol. Comput. 90 (2024)
Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan
Extended Features Based Random Vector Functional Link Network for Classification Problem. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics 62 (2024)
Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Mohammad I. Daoud, Rami Alazrai, Ponnuthurai N. Suganthan, Talal Ali
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks. Clust. Comput. 26 (5) (2023)
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166 (2023)
Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics 19 (3) (2023)
Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai N. Suganthan, Yue Zhang, Witold Pedrycz, Yingwu Chen, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR (2023)
Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan, Jian Cui, Olga Sourina, Lipo Wang
A spectral-ensemble deep random vector functional link network for passive brain-computer interface. Expert Syst. Appl. 227 (2023)
Mostafa Z. Ali, Heba Abdel-Nabi, Rami Alazrai, Bushra AlHijawi, Mazen G. AlWadi, Amer F. Al-Badarneh, Ponnuthurai N. Suganthan, Mohammad I. Daoud, Robert G. Reynolds
A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization. Appl. Soft Comput. 144 (2023)
Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization. Inf. Sci. 628 (2023)
Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. IJCNN (2023)
Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR (2023)
Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan, Rami Alazrai, Mohammad I. Daoud, Ponnuthurai N. Suganthan, Robert G. Reynolds
3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization. CEC (2023)
Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests. Swarm Evol. Comput. 78 (2023)
Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen
Ensemble Reinforcement Learning: A Survey. CoRR (2023)
M. A. Ganaie, Muhammad Tanveer, Iman Beheshti, Nehal Ahmad, Ponnuthurai N. Suganthan
Heterogeneous Oblique Double Random Forest. CoRR (2023)
Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, Ponnuthurai N. Suganthan, Yanjie Song
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching. CoRR (2023)
Ruilin Li, Ruobin Gao, Liqiang Yuan, Ponnuthurai N. Suganthan, Lipo Wang, Olga Sourina
An enhanced ensemble deep random vector functional link network for driver fatigue recognition. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Jinlong Zhou, Yinggui Zhang, Ponnuthurai N. Suganthan
Dual population approximate constrained Pareto front for constrained multiobjective optimization. Inf. Sci. 648 (2023)
Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer
Echo state neural network based ensemble deep learning for short-term load forecasting. SSCI (2022)
Minghui Hu, Ponnuthurai N. Suganthan
Representation learning using deep random vector functional link networks for clustering. Pattern Recognit. 129 (2022)
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514 (2022)
Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future. Swarm Evol. Comput. 75 (2022)
Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong
Incremental Knowledge Tracing from Multiple Schools. CoRR (2022)
Ashwani Kumar Malik, Mudasir A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan
Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. ICONIP (1) (2022)
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CVPR (2022)
Jun-Qing Li, Yu Du, Kai-Zhou Gao, Pei-Yong Duan, Dun-Wei Gong, Quan-Ke Pan, Ponnuthurai N. Suganthan
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Ruilin Li, Ruobin Gao, Jian Cui, Ponnuthurai N. Suganthan, Olga Sourina
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition. SSCI (2022)
M. A. Ganaie, Minghui Hu, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan
Ensemble deep learning: A review. Eng. Appl. Artif. Intell. 115 (2022)
Ruobin Gao, Wen Xin Cheng, Ponnuthurai N. Suganthan, Kum Fai Yuen
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Abhishek Kumar, Partha P. Biswas, Ponnuthurai N. Suganthan
Differential evolution with orthogonal array-based initialization and a novel selection strategy. Swarm Evol. Comput. 68 (2022)
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. IJCNN (2022)
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. CoRR (2022)
Minghui Hu, Ponnuthurai N. Suganthan
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? Appl. Soft Comput. 126 (2022)
Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers. CoRR (2022)
Parul Arora, Abbas Khosravi, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 6 (3) (2022)
Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
Random vector functional link network: recent developments, applications, and future directions. CoRR (2022)
M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel
Oblique and rotation double random forest. Neural Networks 153 (2022)
Heba Abdel-Nabi, Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, Arafat Awajan, Robert G. Reynolds, Ponnuthurai N. Suganthan
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization. CEC (2022)
Ruilin Li, Jian Cui, Ruobin Gao, Ponnuthurai N. Suganthan, Olga Sourina, Lipo Wang, Chun-Hsien Chen
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study. CW (2022)
Ruilin Li, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance. CoRR (2022)
Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan, Aijuan Song, Qizhang Luo
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms. CoRR (2022)
M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. IJCNN (2022)
Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. DCOSS (2021)
Rami S. Al-Gharaibeh, Mostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, Heba Abdel-Nabi, Safaa Fawzey Hriez, Ponnuthurai N. Suganthan
Real-parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes. Inf. Sci. 576 (2021)
Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. CoRR (2021)
Ying-Ying Huang, Quan-Ke Pan, Jiang-Ping Huang, Ponnuthurai N. Suganthan, Liang Gao
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Comput. Ind. Eng. 152 (2021)
Mohammad Tanveer, M. A. Ganaie, Ponnuthurai N. Suganthan
Ensemble of classification models with weighted functional link network. Appl. Soft Comput. 107 (2021)
Mudasir A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel
Oblique and rotation double random forest. CoRR (2021)
Qiushi Shi, Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer
Random vector functional link neural network based ensemble deep learning. Pattern Recognit. 117 (2021)
Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. CoRR (2021)
Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan
Evolutionary Multitask Optimization: Are we Moving in the Right Direction? CoRR (2021)
Mudasir A. Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan
Ensemble deep learning: A review. CoRR (2021)
Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan
Least squares KNN-based weighted multiclass twin SVM. Neurocomputing 459 (2021)
Caitong Yue, Ponnuthurai N. Suganthan, Jing J. Liang, Boyang Qu, Kunjie Yu, Yongsheng Zhu, Li Yan
Differential evolution using improved crowding distance for multimodal multiobjective optimization. Swarm Evol. Comput. 62 (2021)
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP (2021)
M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
Co-Trained Random Vector Functional Link Network. IJCNN (2021)
Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal
Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features. Appl. Soft Comput. 112 (2021)
Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
A Novel Ensemble Method of RVFL For Classification Problem. IJCNN (2021)
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CoRR (2021)
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64 (2021)
Partha P. Biswas, Parul Arora, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Bijaya K. Panigrahi
Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network. Neural Comput. Appl. 33 (12) (2021)
Ponnuthurai N. Suganthan, Rakesh Katuwal
On the origins of randomization-based feedforward neural networks. Appl. Soft Comput. 105 (2021)
Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer
Adaptive Ensemble Variants of Random Vector Functional Link Networks. ICONIP (5) (2020)
M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
Minimum Variance Embedded Random Vector Functional Link Network. ICONIP (5) (2020)
Kai-Zhou Gao, Z. M. He, Y. Huang, Pei-Yong Duan, Ponnuthurai N. Suganthan
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing. Swarm Evol. Comput. 57 (2020)
Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga
Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms. Soft Comput. 24 (4) (2020)
M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. IJCNN (2020)
Partha P. Biswas, Ponnuthurai N. Suganthan
Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems. CEC (2020)
Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang
Heterogeneous oblique random forest. Pattern Recognit. 99 (2020)
Caitong Yue, Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, Kunjie Yu, S. Liu
MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. CEC (2020)
Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal
Oblique Random Forests on Residual Network Features. ICONIP (3) (2020)
Damla Kizilay, Mehmet Fatih Tasgetiren, Hande Öztop, Levent Kandiller, Ponnuthurai N. Suganthan
A Differential Evolution Algorithm with Q-Learning for Solving Engineering Design Problems. CEC (2020)
M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan
Oblique Decision Tree Ensemble via Twin Bounded SVM. Expert Syst. Appl. 143 (2020)
Wen Xin Cheng, Ponnuthurai N. Suganthan, Xueheng Qiu, Rakesh Katuwal
Classification of Stock Market Trends with Confidence-Based Selective Predictions. SEMCCO/FANCCO (2019)
Rakesh Katuwal, Ponnuthurai N. Suganthan
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. CoRR (2019)
Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan
Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. 83 (2019)
Rakesh Katuwal, Ponnuthurai N. Suganthan
Stacked autoencoder based deep random vector functional link neural network for classification. Appl. Soft Comput. 85 (2019)
Boyang Qu, Jing J. Liang, Yongsheng Zhu, Ponnuthurai N. Suganthan
Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method. Nat. Comput. 18 (4) (2019)
Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan
Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times. Knowl. Based Syst. 172 (2019)
Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. 46 (2019)
Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer
Random Vector Functional Link Neural Network based Ensemble Deep Learning. CoRR (2019)
Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48 (2019)
Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach. Appl. Soft Comput. 75 (2019)
Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan
An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators. Appl. Soft Comput. 76 (2019)
Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan
General twin support vector machine with pinball loss function. Inf. Sci. 494 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ponnuthurai N. Suganthan