G. N. Pillai

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 15

Top Topics

Regression Problems

Top Venues

Knowl. Based Syst.

Publications

G. M. Biju, G. N. Pillai
Hyperparameter Optimization of Long Short Term Memory Models for Interpretable Electrical Fault Classification. IEEE Access 11 (2023)
C. P. Pramod, G. N. Pillai
K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems. Knowl. Based Syst. 215 (2021)
Vatsalya Chaubey, Maya S. Nair, G. N. Pillai
Gene Expression Prediction Using a Deep 1D Convolution Neural Network. SSCI (2019)
Hrituraj Singh, N. V. Navaneeth, G. N. Pillai
Multisurface Proximal SVM Based Decision Trees For Heart Disease Classification. TENCON (2019)
G. M. Biju, G. N. Pillai, Jeevanand Seshadrinath
Electric load demand forecasting with RNN cell generated by DARTS. TENCON (2019)
Shihabudheen KV, G. N. Pillai
Recent advances in neuro-fuzzy system: A survey. Knowl. Based Syst. 152 (2018)
Shihabudheen KV, M. Mahesh, G. N. Pillai
Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification. Expert Syst. Appl. 92 (2018)
Sachin Kelkar, Chetanya Rastogi, Sparsh Gupta, G. N. Pillai
SqueezeGAN: Image to Image Translation With Minimum Parameters. IJCNN (2018)
Moreira F. C. Nhabangue, G. N. Pillai
Wind Speed Forecasting Using Improved Random Vector Functional Link Network. SSCI (2018)
C. P. Pramod, G. N. Pillai
A Linguistically Interpretable ELANFIS for Classification Problems. SSCI (2018)
K. V. Shihabudheen, G. N. Pillai
Wind Speed and Solar Irradiance Prediction Using Advanced Neuro-Fuzzy Inference System. IJCNN (2018)
Shihabudheen KV, G. N. Pillai, Bipin Peethambaran
Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS). Appl. Soft Comput. 61 (2017)
G. N. Pillai, Shihabudheen KV
Wind speed forecasting using empirical mode decomposition and regularized ELANFIS. SSCI (2017)
Shihabudheen KV, G. N. Pillai
Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification. Knowl. Based Syst. 127 (2017)
Sonia Thomas, G. N. Pillai, Kirat Pal, Pushpak Jagtap
Prediction of ground motion parameters using randomized ANFIS (RANFIS). Appl. Soft Comput. 40 (2016)
Manoj Kumar Panda, G. N. Pillai, Vijay Kumar
Interval type-2 fuzzy logic controller design for TCSC. Evol. Syst. 5 (3) (2014)
G. N. Pillai, Jagtap Pushpak, M. Germin Nisha
Extreme learning ANFIS for control applications. CICA (2014)
Manoj Kumar Panda, G. N. Pillai, Vijay Kumar
Comparative Performance Analysis of Particle Swarm Optimization and Interval Type-2 Fuzzy Logic-Based TCSC Controller Design. SocProS (2012)