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ORCIDArjun Sharma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2023
[j6]Arjun Sharma
, Donald L. Koch:
Finite difference method in prolate spheroidal coordinates for freely suspended spheroidal particles in linear flows of viscous and viscoelastic fluids. J. Comput. Phys. 495: 112559 (2023)- [j5]Mustahsin Chowdhury, Shaunak Manurkar, Varun Rege, Poonam Gupta, Arjun Sharma, Leyla Nazhandali, Masoud Agah:
Miniaturized Gas Chromatographic Nose for On-Site Adulteration Detection. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - 2017
- [j4]Shelly Bhanot, Arjun Sharma:
App Review Series: Epocrates. J. Digit. Imaging 30(5): 534-536 (2017) - [j3]Arjun Sharma, Kenneth C. Wang, Eliot L. Siegel:
Radiologist Digital Workspace Use and Preference: a Survey-Based Study. J. Digit. Imaging 30(6): 687-694 (2017) - 2016
- [j2]Arjun Sharma, Jason Hostetter, James J. Morrison, Kenneth C. Wang, Eliot L. Siegel:
Focused Decision Support: a Data Mining Tool to Query the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Dataset and Guide Screening Management for the Individual Patient. J. Digit. Imaging 29(2): 160-164 (2016) - 2015
- [j1]Arjun Sharma:
App Review Series: e-Anatomy. J. Digit. Imaging 28(3): 256-258 (2015)
Conference and Workshop Papers
- 2024
- [c23]Alan Y. Cheng, Meng Guo, Melissa Ran, Arpit Ranasaria, Arjun Sharma, Anthony Xie, Khuyen N. Le, Bala Vinaithirthan, Shihe (Tracy) Luan, David Thomas Henry Wright, Andrea Cuadra, Roy Pea, James A. Landay:
Scientific and Fantastical: Creating Immersive, Culturally Relevant Learning Experiences with Augmented Reality and Large Language Models. CHI 2024: 275:1-275:23 - [c22]Bilal Hassan, Arjun Sharma, Nadya Abdel Madjid, Majid Khonji, Jorge Dias:
TerrainSense: Vision-Driven Mapless Navigation for Unstructured Off-Road Environments. ICRA 2024: 18229-18235 - 2023
- [c21]Nadya Abdel Madjid, Arjun Sharma, Bilal Hassan, Naoufel Werghi, Jorge Dias, Majid Khonji:
Multi-Target Tracker for Low Light Vision. ICAR 2023: 252-257 - 2021
- [c20]Abnash Bassi, Anika Shenoy, Arjun Sharma, Hanna Sigurdson, Connor Glossop, Jonathan H. Chan:
Building Energy Consumption Forecasting: A Comparison of Gradient Boosting Models. IAIT 2021: 27:1-27:9 - [c19]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. MICCAI (5) 2021: 804-813 - [c18]Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c17]Sidharth Anupkrishnan, Arjun Sharma:
Multi-Output Associative Memory for Content Addressable Information Retrieval. STAIRS@ECAI 2020 - [c16]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI 2020: 1125-1129 - [c15]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood:
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI 2020: 1851-1855 - [c14]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 2020: 561-571 - 2019
- [c13]Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani:
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. ICLR (Poster) 2019 - [c12]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood:
Age prediction using a large chest x-ray dataset. Medical Imaging: Computer-Aided Diagnosis 2019: 109501U - [c11]Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood:
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) 2019: 522-530 - 2018
- [c10]Arjun Sharma, Kris M. Kitani:
Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments. AAAI 2018: 6540-6547 - [c9]Arjun Sharma, Anirban Mitra, Sumit Sharma, Sudip Roy:
Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network. ICANN (3) 2018: 511-521 - [c8]Anirban Mitra, Arjun Sharma, Sumit Sharma, Sudip Roy:
Thermal Comfort Index Estimation and Parameter Selection Using Fuzzy Convolutional Neural Network. ICANN (1) 2018: 714-724 - 2017
- [c7]Sachin Kumar, Anushtha Kalia, Arjun Sharma:
Predictive Analysis of Alertness Related Features for Driver Drowsiness Detection. ISDA 2017: 368-377 - 2016
- [c6]Ankit Gandhi, Arjun Sharma, Arijit Biswas, Om Deshmukh:
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion. ECCV Workshops (2) 2016: 883-899 - [c5]Arjun Sharma, Arijit Biswas, Ankit Gandhi, Sonal Patil, Om Deshmukh:
LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos. EDM 2016: 215-222 - 2015
- [c4]Arjun Sharma, K. Pramod Sankar:
Enhancing RGB CNNs with depth. ACPR 2015: 31-35 - [c3]Arjun Sharma, K. Pramod Sankar:
Adapting off-the-shelf CNNs for word spotting & recognition. ICDAR 2015: 986-990 - 2013
- [c2]Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre, Roland Memisevic, Pascal Vincent, Aaron C. Courville, Yoshua Bengio, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre Luc Carrier, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Guillaume Desjardins, Razvan Pascanu, David Warde-Farley, Atousa Torabi, Arjun Sharma, Emmanuel Bengio, Kishore Reddy Konda, Zhenzhou Wu:
Combining modality specific deep neural networks for emotion recognition in video. ICMI 2013: 543-550 - 2005
- [c1]James D. Teresco, Laura Effinger-Dean, Arjun Sharma:
Resource-Aware Parallel Adaptive Computation for Clusters. International Conference on Computational Science (2) 2005: 107-115
Informal and Other Publications
- 2024
- [i13]Arjun Sharma, Roddam Narasimha:
Wing Optimisation for a tractor propeller driven Micro Aerial Vehicle. CoRR abs/2409.12345 (2024) - 2023
- [i12]Eyad Shaklab, Areg Karapetyan, Arjun Sharma, Murad Mebrahtu, Mustofa Basri, Mohamed Nagy, Majid Khonji, Jorge Dias:
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots. CoRR abs/2305.17705 (2023) - [i11]Arjun Sharma, Donald L. Koch:
Finite difference method in prolate spheroidal coordinates for freely suspended spheroidal particles in linear flows of viscous and viscoelastic fluids. CoRR abs/2310.06665 (2023) - 2021
- [i10]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. CoRR abs/2105.09937 (2021) - [i9]Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. CoRR abs/2108.00316 (2021) - 2020
- [i8]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR abs/2007.13831 (2020) - [i7]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR abs/2008.00363 (2020) - [i6]Arjun Sharma, Adway Mitra, Vishal Vasan, Rama Govindarajan:
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens. CoRR abs/2008.08251 (2020) - [i5]Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi:
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR abs/2009.07386 (2020) - 2019
- [i4]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Age prediction using a large chest X-ray dataset. CoRR abs/1903.06542 (2019) - [i3]Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood:
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR abs/1907.01656 (2019) - 2018
- [i2]Arjun Sharma, Mohit Sharma, Nicholas Rhinehart, Kris M. Kitani:
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. CoRR abs/1810.01266 (2018) - 2016
- [i1]Ankit Gandhi, Arjun Sharma, Arijit Biswas, Om Deshmukh:
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion. CoRR abs/1609.05281 (2016)
Coauthor Index
aka: Tanveer Fathima Syeda-Mahmood
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