Shikhar Srivastava

Visualizing the Indicators of Diabetic Retinopathy Learnt by Convolutional Neural Networks

Shikhar Srivastava, Srikanth Prabhu, Sidharth Ramesh, 2017, 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

Stefan Lessmann, Shikhar Srivastava, S. Lessmann, 2018 .

Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction

Shikhar Srivastava, U. Dinesh Acharya, Rudresh Deepak Shirwaikar, 2019, Artif. Intell. Medicine.

Prediction of Apnea of Prematurity in neonates using Support Vector Machines and Random Forests

Shikhar Srivastava, Rudresh D. Shirwaikar, Nikhit Mago, 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).

Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach

Shikhar Srivastava, Kerstin Ritter, Fabian Eitel, 2019, ABCD-NP@MICCAI.

Visual Cryptography for Authentication and File Sharing using different techniques in Web Portals

Shikhar Srivastava, Sourav Sengupta, Pankaj Sonune, 2017 .

Mitigation of DDoS attack instigated by compromised switches on SDN controller by analyzing the flow rule request traffic

Anita Kanavalli, Shikhar Srivastava, R Sanjeetha, 2018 .

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

Lisheng Wang, Dwarikanath Mahapatra, Mahdieh Soleymani Baghshah, 2021, IEEE Transactions on Medical Imaging.