Analysis and improvement of SNR using time slicing. - Srikrishna Karanam; Amarjot Singh; Devinder Kumar; Akash Choubey; Ketan Bacchuwar (ICDIP, 2011)

Lung Nodule Classification Using Deep Features in CT Images. - Devinder Kumar; Alexander Wong; David A. Clausi (CRV, 2015)

Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments. - Arun Das 005; Devinder Kumar; Abdelhamid El Bably; Steven Lake Waslander (FSR, 2015)

Recipe recognition with large multimodal food dataset. - Xin Wang 053; Devinder Kumar; Nicolas Thome; Matthieu Cord; Frédéric Precioso (ICME Workshops, 2015)

Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. - Audrey G. Chung; Mohammad Javad Shafiee; Devinder Kumar; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Discovery Radiomics for Computed Tomography Cancer Detection. - Devinder Kumar; Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. - Mohammad Javad Shafiee; Audrey G. Chung; Devinder Kumar; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Understanding Anatomy Classification Through Visualization. - Devinder Kumar; Vlado Menkovski (CoRR, 2016)

Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN. - Devinder Kumar; Helmut Neher; Arun Das 005; David A. Clausi; Steven Lake Waslander (CRV, 2017)

Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. - Devinder Kumar; Alexander Wong; Graham W. Taylor (CVPR Workshops, 2017)

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. - Devinder Kumar; Audrey G. Chung; Mohammad Javad Shafiee; Farzad Khalvati; Masoom A. Haider; Alexander Wong (ICIAR, 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. - Devinder Kumar; Graham W. Taylor; Alexander Wong (CoRR, 2017)

Understanding anatomy classification through attentive response maps. - Devinder Kumar; Vlado Menkovski; Graham W. Taylor; Alexander Wong (ISBI, 2018)

Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. - Devinder Kumar; Ibrahim Ben Daya; Kanav Vats; Jeffery Feng; Graham W. Taylor; Alexander Wong (CVPR Workshops, 2019)

SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. - Devinder Kumar; Vignesh Sankar; David A. Clausi; Graham W. Taylor; Alexander Wong (IEEE Access, 2019)

Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. - Devinder Kumar; Graham W. Taylor; Alexander Wong (IEEE Access, 2019)

Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID. - Devinder Kumar; Parthipan Siva; Paul Marchwica; Alexander Wong (CoRR, 2019)

Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. - Devinder Kumar; Parthipan Siva; Paul Marchwica; Alexander Wong (WACV, 2020)

Class Based Strategies for Understanding Neural Networks. - Devinder Kumar (2020)

Perfectly convergent particle swarm optimisation in multidimensional space. - Devinder Kumar; Narender Kumar Jain; Uma Nangia (Int. J. Bio Inspired Comput., 2021)

RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss. - Anmol Sharan Nagi; Devinder Kumar; Daniel Sola; Katharine Andrea Scott (Remote. Sens., 2021)

Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. - Devinder Kumar; Rajesh Kr Singh; Ruchi Mishra; Samuel Fosso Wamba (Comput. Ind. Eng., 2022)

Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions. - Devinder Kumar; Rajesh Kr Singh; Ruchi Mishra; Ilias P. Vlachos (Int. J. Prod. Res., 2024)