Devinder Kumar

Orcid: 0000-0002-9557-2073

According to our database1, Devinder Kumar authored at least 23 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions.
Int. J. Prod. Res., February, 2024

2022
Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions.
Comput. Ind. Eng., 2022

2021
RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss.
Remote. Sens., 2021

Perfectly convergent particle swarm optimisation in multidimensional space.
Int. J. Bio Inspired Comput., 2021

2020
Class Based Strategies for Understanding Neural Networks.
PhD thesis, 2020

Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID.
CoRR, 2019

Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy.
IEEE Access, 2019

SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells.
IEEE Access, 2019

Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Understanding anatomy classification through attentive response maps.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction.
CoRR, 2017

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2016
Understanding Anatomy Classification Through Visualization.
CoRR, 2016

2015
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection.
CoRR, 2015

Discovery Radiomics for Computed Tomography Cancer Detection.
CoRR, 2015

Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection.
CoRR, 2015

Recipe recognition with large multimodal food dataset.
Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015

Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments.
Proceedings of the Field and Service Robotics, 2015

Lung Nodule Classification Using Deep Features in CT Images.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2011
Analysis and improvement of SNR using time slicing.
Proceedings of the Third International Conference on Digital Image Processing, 2011


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