Arti Singh

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All published works

Action	Title	Year	Authors
+	Multi‐sensor and multi‐temporal high‐throughput phenotyping for monitoring and early detection of water‐limiting stress in soybean	2024	Sarah Jones Timilehin T. Ayanlade Benjamin Fallen Talukder Z. Jubery Arti Singh Baskar Ganapathysubramanian Soumik Sarkar Asheesh K. Singh
+	Class‐specific data augmentation for plant stress classification	2024	Nasla Saleem Aditya Balu Talukder Z. Jubery Arti Singh Asheesh K. Singh Soumik Sarkar Baskar Ganapathysubramanian
+ PDF Chat	Class-specific Data Augmentation for Plant Stress Classification	2024	Nasla Saleem Aditya Balu Talukder Z. Jubery Arti Singh Asheesh Kumar Singh Soumik Sarkar Baskar Ganapathysubramanian
+	Out-of-Distribution Detection Algorithms for Robust Insect Classification	2024	Mojdeh Saadati Aditya Balu Shivani Chiranjeevi Talukder Z. Jubery Asheesh K. Singh Soumik Sarkar Arti Singh Baskar Ganapathysubramanian
+	Out-of-distribution detection algorithms for robust insect classification	2023	Mojdeh Saadati Aditya Balu Shivani Chiranjeevi Talukder Z. Jubery Asheesh K. Singh Soumik Sarkar Arti Singh Baskar Ganapathysubramanian
+	Deep learning powered real-time identification of insects using citizen science data	2023	Shivani Chiranjeevi Mojdeh Sadaati Zi K Deng Jayanth Koushik Talukder Z. Jubery Daren S. Mueller Matthew E O Neal Nirav Merchant Aarti Singh Asheesh K. Singh
+ PDF Chat	How useful is active learning for image‐based plant phenotyping?	2021	Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani Seyed Vahid Mirnezami Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian
+	SUTRA: A Novel Approach to Modelling Pandemics with Applications to COVID-19	2021	Manindra Agrawal Madhuri Kanitkar Deepu Phillip T. Hajra Arti Singh Avaneesh Singh Prabal Pratap Singh M. Vidyasagar
+	Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications.	2020	Luis G. Riera Matthew E. Carroll Zhisheng Zhang Johnathon M. Shook Sambuddha Ghosal Tianshuang Gao Arti Singh Sourabh Bhattacharya Baskar Ganapathysubramanian Asheesh K. Singh
+	Usefulness of interpretability methods to explain deep learning based plant stress phenotyping	2020	Koushik Nagasubramanian Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian
+	How useful is Active Learning for Image-based Plant Phenotyping?	2020	Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani Seyed Vahid Mirnezami Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian
+	Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications	2020	Luis G Riera Matthew E. Carroll Zhisheng Zhang Johnathon M. Shook Sambuddha Ghosal Tianshuang Gao Arti Singh Sourabh Bhattacharya Baskar Ganapathysubramanian Asheesh K. Singh
+	Usefulness of interpretability methods to explain deep learning based plant stress phenotyping	2020	Koushik Nagasubramanian Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian
+	How useful is Active Learning for Image-based Plant Phenotyping?	2020	Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani Seyed Vahid Mirnezami Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian
+	Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps	2018	Koushik Nagasubramanian Sarah E. Jones Asheesh K. Singh Arti Singh Baskar Ganapathysubramanian Soumik Sarkar
+	Interpretable Deep Learning applied to Plant Stress Phenotyping	2017	Sambuddha Ghosal David Blystone Asheesh K. Singh Baskar Ganapathysubramanian Arti Singh Soumik Sarkar
+	Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean	2017	Koushik Nagasubramanian Sarah E. Jones Soumik Sarkar Asheesh K. Singh Arti Singh Baskar Ganapathysubramanian
+	Interpretable Deep Learning applied to Plant Stress Phenotyping	2017	Sambuddha Ghosal David Blystone Asheesh K. Singh Baskar Ganapathysubramanian Arti Singh Soumik Sarkar
+	Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean	2017	Koushik Nagasubramanian Sarah Jones Soumik Sarkar Asheesh K. Singh Arti Singh Baskar Ganapathysubramanian
+	An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection	2016	Adedotun Akintayo Nigel Lee Vikas Chawla Mark P. Mullaney Christopher C. Marett Asheesh K. Singh Arti Singh Gregory L. Tylka Baskar Ganapathysubramanian Soumik Sarkar

Common Coauthors

Coauthor	Papers Together
Baskar Ganapathysubramanian	19
Asheesh K. Singh	18
Soumik Sarkar	16
Talukder Z. Jubery	9
Koushik Nagasubramanian	8
Sambuddha Ghosal	4
Aditya Balu	4
Shivani Chiranjeevi	3
Seyed Vahid Mirnezami	3
Fateme Fotouhi Ardakani	3
Soumik Sarkar	3
Sourabh Bhattacharya	2
Tianshuang Gao	2
Matthew E. Carroll	2
Johnathon M. Shook	2
Sarah E. Jones	2
Mojdeh Saadati	2
Zhisheng Zhang	2
Nasla Saleem	2
Sarah Jones	2
Asheesh Kumar Singh	1
Daren S. Mueller	1
Christopher C. Marett	1
Deepu Phillip	1
Adedotun Akintayo	1
Manindra Agrawal	1
T. Hajra	1
Prabal Pratap Singh	1
Jayanth Koushik	1
Gregory L. Tylka	1
Madhuri Kanitkar	1
Vikas Chawla	1
Benjamin Fallen	1
Nigel Lee	1
David Blystone	1
M. Vidyasagar	1
Mojdeh Sadaati	1
Timilehin T. Ayanlade	1
Matthew E O Neal	1
Aarti Singh	1
David Blystone	1
Zi K Deng	1
Luis G Riera	1
Nirav Merchant	1
Luis G. Riera	1
Avaneesh Singh	1
Mark P. Mullaney	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	3
+ PDF Chat	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	2017	Lin Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Z. Chen	2
+	ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network	2017	Mario Valerio Giuffrida Hanno Scharr Sotirios A. Tsaftaris	2
+ PDF Chat	Active Discriminative Text Representation Learning	2017	Ye Zhang Matthew Lease Byron Wallace	2
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	2
+ PDF Chat	Localization-Aware Active Learning for Object Detection	2019	Chieh-Chi Kao Teng‐Yok Lee Pradeep Sen Ming-Yu Liu	2
+ PDF Chat	Cost-Effective Active Learning for Deep Image Classification	2016	Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Active learning with point supervision for cost-effective panicle detection in cereal crops	2020	Akshay L. Chandra Sai Vikas Desai Vineeth N Balasubramanian S. Ninomiya Wei Guo	2
+ PDF Chat	DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning	2019	Alex Olsen Dmitry A. Konovalov Bronson Philippa Peter Ridd Jake Wood Jamie Johns Wesley Banks Benjamin Girgenti Owen P. Kenny James Whinney	2
+	Bayesian Active Learning for Classification and Preference Learning	2011	Neil Houlsby Ferenc Huszár Zoubin Ghahramani Máté Lengyel	2
+	Learning Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes	2016	Aditya Balu Sambit Ghadai Kin Gwn Lore Gavin Young Adarsh Krishnamurthy Soumik Sarkar	1
+ PDF Chat	ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network	2017	Mario Valerio Giuffrida Hanno Scharr Sotirios A. Tsaftaris	1
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	1
+ PDF Chat	Deep learning in agriculture: A survey	2018	Andreas Kamilaris Francesc X. Prenafeta‐Boldú	1
+	Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps	2018	Koushik Nagasubramanian Sarah E. Jones Asheesh K. Singh Arti Singh Baskar Ganapathysubramanian Soumik Sarkar	1
+ PDF Chat	Active Learning with Statistical Models	1996	David Cohn Zoubin Ghahramani Michael I. Jordan	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Very Deep Multilingual Convolutional Neural Networks for LVCSR	2015	Tom Sercu Christian Puhrsch Brian Kingsbury Yann LeCun	1
+	Deep Bayesian Active Learning with Image Data	2017	Yarin Gal Riashat Islam Zoubin Ghahramani	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	iNNvestigate Neural Networks	2019	Maximilian Alber Sebastian Lapuschkin Philipp Seegerer Miriam Hägele Kristof T. Schütt Grégoire Montavon Wojciech Samek K. Müller Sven Dähne Pieter Jan Kindermans	1
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	1
+ PDF Chat	AutoML: A survey of the state-of-the-art	2020	Xin He Kaiyong Zhao Xiaowen Chu	1
+ PDF Chat	The (Un)reliability of Saliency Methods	2019	Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne Dumitru Erhan Been Kim	1
+ PDF Chat	Deep interpretable architecture for plant diseases classification	2019	Mohammed Brahimi Saïd Mahmoudi Kamel Boukhalfa Abdelouhab Moussaoui	1
+ PDF Chat	Techniques for interpretable machine learning	2019	Mengnan Du Ninghao Liu Xia Hu	1
+ PDF Chat	The relationship between trust in AI and trustworthy machine learning technologies	2020	Ehsan Toreini Mhairi Aitken Kovila Coopamootoo Karen Elliott Carlos Gonzalez Zelaya Aad van Moorsel	1
+ PDF Chat	Shortcut learning in deep neural networks	2020	Robert Geirhos Jörn-Henrik Jacobsen Claudio Michaelis Richard S. Zemel Wieland Brendel Matthias Bethge Felix A. Wichmann	1
+ PDF Chat	Explainable Deep Learning: A Field Guide for the Uninitiated	2022	Gabriëlle Ras Ning Xie Marcel van Gerven Derek Doran	1
+ PDF Chat	Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems	2020	Feiyang Cai Xenofon Koutsoukos	1
+	How useful is Active Learning for Image-based Plant Phenotyping?	2020	Koushik Nagasubramanian Talukder Z. Jubery Fateme Fotouhi Ardakani Seyed Vahid Mirnezami Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian	1
+	The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations	2020	Angelos Chatzimparmpas Rafael M. Martins Ilir Jusufi Kostiantyn Kucher Fabrice Rossi Andreas Kerren	1
+ PDF Chat	Designing Network Design Spaces	2020	Ilija Radosavovic Raj Prateek Kosaraju Ross Girshick Kaiming He Piotr Dollár	1
+	Energy-based Out-of-distribution Detection	2020	Weitang Liu Xiaoyun Wang John D. Owens Yixuan Li	1
+ PDF Chat	Learning an Uncertainty-Aware Object Detector for Autonomous Driving	2020	Gregory P. Meyer Niranjan Thakurdesai	1
+ PDF Chat	Embedded out-of-distribution detection on an autonomous robot platform	2021	Michael Yuhas Yeli Feng Daniel Jun Xian Ng Zahra Rahiminasab Arvind Easwaran	1
+	Exploring the Limits of Out-of-Distribution Detection	2021	Stanislav Fort Jie Ren Balaji Lakshminarayanan	1
+	Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning.	2021	Alec Farid Sushant Veer Anirudha Majumdar	1
+ PDF Chat	Benchmarking Representation Learning for Natural World Image Collections	2021	Grant Van Horn Elijah Cole Sara Beery Michael J. Wilber Serge Belongie Oisin MacAodha	1
+	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty	2021	Umang Bhatt Javier Antorán Yunfeng Zhang Q. Vera Liao Prasanna Sattigeri Riccardo Fogliato Gabrielle Gauthier Melançon Ranganath Krishnan Jason Stanley Omesh Tickoo	1
+ PDF Chat	ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining	2021	Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang Somesh Jha	1
+ PDF Chat	Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions	2021	Abhijit Guha Roy Jie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan Basil Mustafa Nick Pawlowski Jan Freyberg Yuan Liu Zach Beaver	1
+	The Effects of Regularization and Data Augmentation are Class Dependent	2022	Randall Balestriero Léon Bottou Yann LeCun	1
+ PDF Chat	Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review	2022	Jireh Yi-Le Chan Steven Mun Hong Leow Khean Thye Bea Wai Khuen Cheng Seuk Wai Phoong Zeng‐Wei Hong Yen‐Lin Chen	1
+	Data Augmentation Can Improve Robustness	2021	Sylvestre-Alvise Rebuffi Sven Gowal Dan A. Calian Florian Stimberg Olivia Wiles Timothy Mann	1
+	LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis	2020	Quan Huu Cap Hiroyuki Uga Satoshi Kagiwada Hitoshi Iyatomi	1