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Ankur Agarwal
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- affiliation: Microsoft Research
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2020 – today
- 2024
- [i4]Ankur Agarwal, Shashi Prabha, Raghav Yadav:
Exploratory Data Analysis for Banking and Finance: Unveiling Insights and Patterns. CoRR abs/2407.11976 (2024) - 2023
- [j20]Harshal A. Sanghvi, Riki H. Patel, Ankur Agarwal, Shailesh Gupta, Vivek Sawhney, Abhijit S. Pandya:
A deep learning approach for classification of COVID and pneumonia using DenseNet-201. Int. J. Imaging Syst. Technol. 33(1): 18-38 (2023) - [j19]Francis Njoka, Laban Thimo, Ankur Agarwal:
Evaluation of IoT-based remote monitoring systems for stand-alone solar PV installations in Kenya. J. Reliab. Intell. Environ. 9(3): 319-331 (2023) - [j18]Reema Agarwal, Anil Kumar Nishad, Ankur Agarwal, Shamshad Husain:
Evaluation and Selection of a Green and Sustainable Supplier by Using a Fuzzy ARAS Mathematical Modeling. New Math. Nat. Comput. 19(3): 831-853 (2023) - [c33]Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi:
Practical Takes on Federated Learning with Pretrained Language Models. EACL (Findings) 2023: 454-471 - 2021
- [i3]Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani, Bhanodai Guggilla, Ankur Agarwal, Chandramouli Sanchi:
Language Detection Engine for Multilingual Texting on Mobile Devices. CoRR abs/2101.03963 (2021) - 2020
- [j17]Christopher Baechle, C. Derrick Huang, Ankur Agarwal, Ravi S. Behara, Jahyun Goo:
Latent topic ensemble learning for hospital readmission cost optimization. Eur. J. Oper. Res. 281(3): 517-531 (2020) - [j16]C. Derrick Huang, Jahyun Goo, Ravi S. Behara, Ankur Agarwal:
Clinical Decision Support System for Managing COPD-Related Readmission Risk. Inf. Syst. Frontiers 22(3): 735-747 (2020) - [j15]Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan:
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108(12): 2232-2250 (2020) - [c32]Sumit Kumar, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Ankur Agarwal, Benu Madhab Changmai, Sukumar Moharana:
On-Device Information Extraction from Screenshots in form of tags. COMAD/CODS 2020: 275-281 - [c31]Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani, Bhanodai Guggilla, Ankur Agarwal, Chandramouli Sanchi:
Language Detection Engine for Multilingual Texting on Mobile Devices. ICSC 2020: 279-286 - [i2]Sumit Kumar, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Ankur Agarwal, Benu Madhab Changmai, Sukumar Moharana:
On- Device Information Extraction from Screenshots in form of tags. CoRR abs/2001.06094 (2020)
2010 – 2019
- 2019
- [j14]Piyush Jain, Ankur Agarwal, Ravi S. Behara, Christopher Baechle:
HPCC based framework for COPD readmission risk analysis. J. Big Data 6: 26 (2019) - [c30]Seba Susan, Ankur Agarwal, Chetan Gulati, Sunpreet Singh, Vaibhav Chauhan:
Human Attention Span Modeling using 2D Visualization Plots for Gaze Progression and Gaze Sustenance. AIVR 2019: 42-46 - [c29]Piyush Jain, Ankur Agarwal, Ravi S. Behara:
An Approach to Supervised Classification of Highly Imbalanced and High Dimensionality COPD Readmission Data on HPCC. SysCon 2019: 1-7 - 2018
- [j13]Ankur Agarwal, Christopher Baechle, Ravi S. Behara, Xingquan Zhu:
A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD. IEEE J. Biomed. Health Informatics 22(2): 588-596 (2018) - 2017
- [j12]Christopher Baechle, Ankur Agarwal, Xingquan Zhu:
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients. J. Big Data 4: 9 (2017) - [j11]Christopher Baechle, Ankur Agarwal:
A framework for the estimation and reduction of hospital readmission penalties using predictive analytics. J. Big Data 4: 37 (2017) - [c28]Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
A cost sensitive approach to predicting 30-day hospital readmission in COPD patients. BHI 2017: 317-320 - [c27]Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
Co-occurring evidence discovery for COPD patients using natural language processing. BHI 2017: 321-324 - [c26]Piyush Jain, Ankur Agarwal, Ravi S. Behara:
Care Coordination: A Systematic Review and a New Perspective. BIBE 2017: 531-536 - [c25]Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
Latent topic ensemble learning for hospital readmission cost reduction. IJCNN 2017: 4594-4601 - 2016
- [j10]Jose Hurtado, Ankur Agarwal, Xingquan Zhu:
Topic discovery and future trend forecasting for texts. J. Big Data 3: 7 (2016) - [j9]Ankur Agarwal, Christopher Baechle, Ravi S. Behara, Vinaya Rao:
Multi-method approach to wellness predictive modeling. J. Big Data 3: 15 (2016) - [p4]Jesse Shaw, Flavio Villanustre, Borko Furht, Ankur Agarwal, Abhishek Jain:
Modeling Ebola Spread and Using HPCC/KEL System. Big Data Technologies and Applications 2016: 347-385 - 2014
- [b2]David Jaramillo, Borko Furht, Ankur Agarwal:
Virtualization Techniques for Mobile Systems. Florida Atlantic University, Boca Raton, FL, USA, Multimedia Systems and Applications, Springer 2014, ISBN 978-3-319-05740-8, pp. 1-68 - [c24]Ravi S. Behara, Ankur Agarwal, Pranitha Pulumati, Ritesh Jain, Vinaya Rao:
Predictive Modeling for Wellness and Chronic Conditions. BIBE 2014: 394-398 - [c23]Ankur Agarwal, Ravi S. Behara, Sirish Mulpura, Vivek Tyagi:
Domain Independent Natural Language Processing - A Case Study for Hospital Readmission with COPD. BIBE 2014: 399-404 - [c22]Vinaya Rao, Ravi S. Behara, Ankur Agarwal:
Predictive Modeling for Organ Transplantation Outcomes. BIBE 2014: 405-408 - [c21]Oscar Figuerola Salas, Hari Kalva, Antonio Escudero, Ankur Agarwal:
Role-based adaptation for video conferencing in healthcare applications. Visual Information Processing and Communication 2014: 902908 - 2013
- [c20]Ravi S. Behara, Faiz Fatteh, Parvathalakshmi Rajadesingh, Piyush Jain, Ankur Agarwal:
A prognostic COPD clinical support system. SysCon 2013: 56-59 - [c19]Carlos Alvarez, Destin Smith-Norris, Ankur Agarwal:
Biomedical diagnostic system for device coding. SysCon 2013: 143-146 - [c18]Michael Weir, Ross Kulak, Ankur Agarwal:
Service Oriented Architecture for agile automated testing environment. SysCon 2013: 853-860 - [e1]Borko Furht, Ankur Agarwal:
Handbook of Medical and Healthcare Technologies. Springer 2013, ISBN 978-1-4614-8494-3 [contents] - [r5]Ankur Agarwal, Borko Furht, Mamata Yenagi:
Mobile Medical and Healthcare Applications. Handbook of Medical and Healthcare Technologies 2013: 3-15 - [r4]Timothy Cyr, Ankur Agarwal, Borko Furht:
Brief Overview of Various Healthcare Tools, Methods, Framework and Standards. Handbook of Medical and Healthcare Technologies 2013: 285-295 - [r3]Ravi S. Behara, Ankur Agarwal, Faiz Fatteh, Borko Furht:
Predicting Hospital Readmission Risk for COPD Using EHR Information. Handbook of Medical and Healthcare Technologies 2013: 297-308 - [r2]Ankur Agarwal, Borko Furht, Mark Conatser, Chris Baechle:
Secure Mobile Framework for Monitoring Medical Sensor Data. Handbook of Medical and Healthcare Technologies 2013: 355-369 - [r1]Ankur Agarwal, Borko Furht, Vivek Tyagi:
Integration of Various Health Record Systems. Handbook of Medical and Healthcare Technologies 2013: 503-528 - 2012
- [j8]Ankur Agarwal, Georgiana L. Hamza-Lup, Taghi M. Khoshgoftaar:
A System-Level Modeling Methodology for Performance-Driven Component Selection in Multicore Architectures. IEEE Syst. J. 6(2): 317-328 (2012) - [c17]Prerana Sharma, Devesh Mishra, Ankur Agarwal:
Efficient image encryption and decryption using discrete wavelet transform and fractional Fourier transform. SIN 2012: 153-157 - 2011
- [c16]Vishesh Ved, Vivek Tyagi, Ankur Agarwal, Abhijit S. Pandya:
Personal Health Record System and Integration Techniques with Various Electronic Medical Record Systems. HASE 2011: 91-94 - [c15]Vivek Tyagi, Abhijit S. Pandya, Ankur Agarwal, Bassem Alhalabi:
Validation of Object Recognition Framework on Android Mobile Platform. HASE 2011: 313-316 - 2010
- [j7]Ankur Agarwal, Andrew Blake:
Dense Stereo Matching over the Panum Band. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 416-430 (2010) - [p3]Ankur Agarwal, Nathan Henehan, Vivek Somashekarappa, Abhijit S. Pandya, Hari Kalva, Borko Furht:
A Cloud Computing Based Patient Centric Medical Information System. Handbook of Cloud Computing 2010: 553-573 - [p2]Karuna P. Joshi, Yelena Yesha, A. Ant Ozok, Yaacov Yesha, Ashwini Lahane, Hari Kalva, Ankur Agarwal, Borko Furht:
User-Centric Smart Services in the Cloud. The Smart Internet 2010: 234-249
2000 – 2009
- 2008
- [j6]Ankur Agarwal, Bill Triggs:
Multilevel Image Coding with Hyperfeatures. Int. J. Comput. Vis. 78(1): 15-27 (2008) - [j5]Ankur Agarwal, Rabi Shankar, Abhijit S. Pandya, Young-Uhg Lho:
A System Level Network-on-chip Model with MLDesigner. J. Inform. and Commun. Convergence Engineering 6(2): 122-128 (2008) - 2007
- [c14]Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal:
Incorporating On-demand Stereo for Real Time Recognition. CVPR 2007 - [c13]Shahram Izadi, Ankur Agarwal, Antonio Criminisi, John M. Winn, Andrew Blake, Andrew W. Fitzgibbon:
C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces. Tabletop 2007: 3-10 - [c12]Ankur Agarwal, Shahram Izadi, Manmohan Chandraker, Andrew Blake:
High Precision Multi-touch Sensing on Surfaces using Overhead Cameras. Tabletop 2007: 197-200 - 2006
- [b1]Ankur Agarwal:
Machine Learning for Image Based Motion Capture. Grenoble Institute of Technology, France, 2006 - [j4]Ankur Agarwal, Abhijit S. Pandya, Young-Ubg Lbo:
Software Complexity and Management for Real-Time Systems. J. Inform. and Commun. Convergence Engineering 4(1): 23-27 (2006) - [j3]Ankur Agarwal, Bill Triggs:
Recovering 3D Human Pose from Monocular Images. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 44-58 (2006) - [c11]Ankur Agarwal, Bill Triggs:
A Local Basis Representation for Estimating Human Pose from Cluttered Images. ACCV (1) 2006: 50-59 - [c10]Ankur Agarwal, Mehmet Mustafa, Abhijit S. Pandya:
QOS Driven Network-on-Chip Design for Real Time Systems. CCECE 2006: 1291-1295 - [c9]Ankur Agarwal, Saeed Rajput, Abhijit S. Pandya:
Power Management System for Embedded RTOS: An Object Oriented Approach. CCECE 2006: 2305-2309 - [c8]Ankur Agarwal, Andrew Blake:
The Panum Proxy Algorithm for Dense Stereo Matching over a Volume of Interest. CVPR (2) 2006: 2339-2346 - [c7]Ankur Agarwal, Bill Triggs:
Hyperfeatures - Multilevel Local Coding for Visual Recognition. ECCV (1) 2006: 30-43 - [p1]Ankur Agarwal, Ravi Shankar, Abhijit S. Pandya:
Embedding Intelligence into EDA Tools. Integrated Intelligent Systems for Engineering Design 2006: 389-408 - 2005
- [j2]Ankur Agarwal, Abhijit S. Pandya, Young-Uhg Lho:
A Novel Low Power Design of ALU Using Ad Hoc Techniques. Int. J. Fuzzy Log. Intell. Syst. 5(2): 102-107 (2005) - [c6]Ankur Agarwal, Bill Triggs:
Monocular Human Motion Capture with a Mixture of Regressors. CVPR Workshops 2005: 72 - [c5]Ankur Agarwal, Ravi Shankar:
A Layered Architecture for NOC Design Methodology. IASTED PDCS 2005: 659-666 - 2004
- [j1]Abhijit S. Pandya, Ankur Agarwal, Gyoo-Yong Chae:
Low Power Design of the Neuroprocessor. Int. J. Fuzzy Log. Intell. Syst. 4(1): 79-83 (2004) - [c4]Ankur Agarwal, Bill Triggs:
3D Human Pose from Silhouettes by Relevance Vector Regression. CVPR (2) 2004: 882-888 - [c3]Ankur Agarwal, Bill Triggs:
Tracking Articulated Motion Using a Mixture of Autoregressive Models. ECCV (3) 2004: 54-65 - [c2]Ankur Agarwal, Bill Triggs:
Learning to track 3D human motion from silhouettes. ICML 2004 - 2003
- [c1]Abhijit S. Pandya, Ankur Agarwal, Pyeoung Kee Kim:
Low Power Design of the Neuroprocessor. KES 2003: 856-862 - [i1]R. C. Gupta, Ankur Agarwal, Ruchi Gupta, Sanjay Gupta:
Predicting Response-Function Results of Electrical/Mechanical Systems Through Artificial Neural Network. CoRR cs.NE/0306125 (2003)
Coauthor Index
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