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Devinder Kumar
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Books and Theses
- 2020
- [b1]Devinder Kumar:
Class Based Strategies for Understanding Neural Networks. University of Waterloo, Ontario, Canada, 2020
Journal Articles
- 2024
- [j6]Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Ilias P. Vlachos:
Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions. Int. J. Prod. Res. 62(4): 1489-1509 (2024) - 2022
- [j5]Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Samuel Fosso Wamba:
Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Comput. Ind. Eng. 171: 108455 (2022) - 2021
- [j4]Devinder Kumar, Narender Kumar Jain, Uma Nangia:
Perfectly convergent particle swarm optimisation in multidimensional space. Int. J. Bio Inspired Comput. 18(4): 221-228 (2021) - [j3]Anmol Sharan Nagi, Devinder Kumar, Daniel Sola, Katharine Andrea Scott:
RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss. Remote. Sens. 13(13): 2460 (2021) - 2019
- [j2]Devinder Kumar, Graham W. Taylor, Alexander Wong:
Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. IEEE Access 7: 25891-25896 (2019) - [j1]Devinder Kumar, Vignesh Sankar, David A. Clausi, Graham W. Taylor, Alexander Wong:
SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. IEEE Access 7: 145444-145454 (2019)
Conference and Workshop Papers
- 2020
- [c10]Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. WACV 2020: 2634-2643 - 2019
- [c9]Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong:
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CVPR Workshops 2019: 16-19 - 2018
- [c8]Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong:
Understanding anatomy classification through attentive response maps. ISBI 2018: 1130-1133 - 2017
- [c7]Devinder Kumar, Helmut Neher, Arun Das, David A. Clausi, Steven Lake Waslander:
Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN. CRV 2017: 32-39 - [c6]Devinder Kumar, Alexander Wong, Graham W. Taylor:
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CVPR Workshops 2017: 1686-1694 - [c5]Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR 2017: 54-62 - 2015
- [c4]Devinder Kumar, Alexander Wong, David A. Clausi:
Lung Nodule Classification Using Deep Features in CT Images. CRV 2015: 133-138 - [c3]Arun Das, Devinder Kumar, Abdelhamid El Bably, Steven Lake Waslander:
Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments. FSR 2015: 345-359 - [c2]Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso:
Recipe recognition with large multimodal food dataset. ICME Workshops 2015: 1-6 - 2011
- [c1]Srikrishna Karanam, Amarjot Singh, Devinder Kumar, Akash Choubey, Ketan Bacchuwar:
Analysis and improvement of SNR using time slicing. ICDIP 2011: 800912
Informal and Other Publications
- 2020
- [i11]Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. CoRR abs/2001.04928 (2020) - 2019
- [i10]Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong:
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. CoRR abs/1901.04641 (2019) - [i9]Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong:
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CoRR abs/1904.09633 (2019) - [i8]Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong:
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID. CoRR abs/1907.12016 (2019) - 2017
- [i7]Devinder Kumar, Alexander Wong, Graham W. Taylor:
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CoRR abs/1704.04133 (2017) - [i6]Devinder Kumar, Graham W. Taylor, Alexander Wong:
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 abs/1709.01574 (2017) - [i5]Devinder Kumar, Graham W. Taylor, Alexander Wong:
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. CoRR abs/1710.10675 (2017) - 2016
- [i4]Devinder Kumar, Vlado Menkovski:
Understanding Anatomy Classification Through Visualization. CoRR abs/1611.06284 (2016) - 2015
- [i3]Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR abs/1509.00111 (2015) - [i2]Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR abs/1509.00117 (2015) - [i1]Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR abs/1511.03361 (2015)
Coauthor Index
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