Dinesh Singh

According to our database, Dinesh Singh authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.

Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang

IEEE Trans. Knowl. Data Eng., July, 2023

FsNet: Feature Selection Network on High-dimensional Biological Data.

Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada

Proceedings of the International Joint Conference on Neural Networks, 2023

Graph Representation for Weakly-Supervised Spatio-Temporal Action Detection.

Dinesh Singh

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization.

Hardik Tankaria, Dinesh Singh, Makoto Yamada

CoRR, 2021

2020

FsNet: Feature Selection Network on High-dimensional Biological Data.

Dinesh Singh, Makoto Yamada

CoRR, 2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.

Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang

CoRR, 2020

Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device.

Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder.

Dinesh Singh, Chalavadi Krishna Mohan

IEEE Trans. Intell. Transp. Syst., 2019

2018

Fast-BoW: Scaling Bag-of-Visual-Words Generation.

Dinesh Singh, Abhijeet Bhure, Sumit Mamtani, C. Krishna Mohan

Proceedings of the British Machine Vision Conference 2018, 2018

Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning.

Dinesh Singh, C. Krishna Mohan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data.

Dinesh Singh, Debaditya Roy, C. Krishna Mohan

IEEE Trans. Big Data, 2017

Graph formulation of video activities for abnormal activity recognition.

Dinesh Singh, C. Krishna Mohan

Pattern Recognit., 2017

Detection of motorcyclists without helmet in videos using convolutional neural network.

Chalavadi Vishnu, Dinesh Singh, C. Krishna Mohan, Ch. Sobhan Babu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Collaborative IDS Framework for Cloud.

Dinesh Singh, Dhiren Patel, Bhavesh Borisaniya, Chirag Modi

Int. J. Netw. Secur., 2016

Automatic detection of bike-riders without helmet using surveillance videos in real-time.

Kunal Dahiya, Dinesh Singh, C. Krishna Mohan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visual Big Data Analytics for Traffic Monitoring in Smart City.

Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Spontaneous Facial Expression Recognition: A Part Based Approach.

Nazil Perveen, Dinesh Singh, C. Krishna Mohan

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Distributed quadratic programming solver for kernel SVM using genetic algorithm.

Dinesh Singh, C. Krishna Mohan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016