Dinesh Singh

Orcid: 0000-0001-8889-9847

Affiliations:
  • RIKEN Center for Advanced Intelligence Project (AIP), Kyoto University, Japan
  • Indian Institute of Technology Hyderabad, Kandi, Sangareddy, India (former)


According to our database1, Dinesh Singh authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization.
CoRR, 2024

Predicting Stress among Students via Psychometric Assessments and Machine Learning.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

2023
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

FsNet: Feature Selection Network on High-dimensional Biological Data.
Proceedings of the International Joint Conference on Neural Networks, 2023

Graph Representation for Weakly-Supervised Spatio-Temporal Action Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

2021
Nys-Curve: Nyström-Approximated Curvature for Stochastic Optimization.
CoRR, 2021

2020
FsNet: Feature Selection Network on High-dimensional Biological Data.
CoRR, 2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.
CoRR, 2020

Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device.
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.
IEEE Trans. Intell. Transp. Syst., 2019

2018
Fast-BoW: Scaling Bag-of-Visual-Words Generation.
Proceedings of the British Machine Vision Conference 2018, 2018

Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning.
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.
IEEE Trans. Big Data, 2017

Graph formulation of video activities for abnormal activity recognition.
Pattern Recognit., 2017

Detection of motorcyclists without helmet in videos using convolutional neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Collaborative IDS Framework for Cloud.
Int. J. Netw. Secur., 2016

Automatic detection of bike-riders without helmet using surveillance videos in real-time.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visual Big Data Analytics for Traffic Monitoring in Smart City.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Spontaneous Facial Expression Recognition: A Part Based Approach.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Distributed quadratic programming solver for kernel SVM using genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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