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Anuj Sharma
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2020 – today
- 2024
- [j55]Ujjwal Thakur, Anuj Sharma:
Offline handwritten mathematical recognition using adversarial learning and transformers. Int. J. Document Anal. Recognit. 27(2): 147-158 (2024) - [j54]Yogesh Mungra, Ritu Srivastava, Anuj Sharma, Diptiman Banerji, Neela Gollapudi:
Impact of Digital Competence on Employees' Flourishing Through Basic Psychological Needs Satisfaction. J. Comput. Inf. Syst. 64(1): 47-61 (2024) - [j53]Kalyan Prasad Agrawal, Ashis K. Pani, Anuj Sharma, Nripendra P. Rana:
Process Virtualization Goes Mainstream: Diving into its Normalization. J. Comput. Inf. Syst. 64(3): 453-468 (2024) - [j52]Anuj Sharma, Sukhdeep Singh, S. Ratna:
Graph Neural Network Operators: a Review. Multim. Tools Appl. 83(8): 23413-23436 (2024) - [j51]Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma:
HCR-Net: a deep learning based script independent handwritten character recognition network. Multim. Tools Appl. 83(32): 78433-78467 (2024) - [j50]Supinder Kaur, Ekta Jain, Anuj Sharma, Kalpana Dahiya:
An efficient algorithm for two-stage capacitated time minimization transportation problem with restricted flow. RAIRO Oper. Res. 58(4): 2733-2766 (2024) - [j49]Weiheng Chai, Jiyang Wang, Jiajing Chen, Senem Velipasalar, Anuj Sharma:
Rethinking the Evaluation of Driver Behavior Analysis Approaches. IEEE Trans. Intell. Transp. Syst. 25(8): 9958-9966 (2024) - [j48]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. 25(9): 11602-11616 (2024) - [c44]James Gunn, Zygmunt Lenyk, Anuj Sharma, Andrea Donati, Alexandru Buburuzan, John Redford, Romain Mueller:
Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers. CVPR Workshops 2024: 4526-4536 - [c43]Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma:
DeepLocalization: Using change point detection for Temporal Action Localization. CVPR Workshops 2024: 7252-7260 - [c42]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [i46]Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan:
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks. CoRR abs/2403.15077 (2024) - [i45]Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma:
An inclusive review on deep learning techniques and their scope in handwriting recognition. CoRR abs/2404.08011 (2024) - [i44]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - [i43]Mohammed Shaiqur Rahman, Ibne Farabi Shihab, Lynna Chu, Anuj Sharma:
DeepLocalization: Using change point detection for Temporal Action Localization. CoRR abs/2404.12258 (2024) - [i42]Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma:
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System. CoRR abs/2404.14062 (2024) - [i41]Anuj Sharma, Sukhdeep Singh, S. Ratna:
Graph Neural Network based Handwritten Trajectories Recognition. CoRR abs/2405.09247 (2024) - [i40]Ibne Farabi Shihab, Benjir Islam Alvee, Sudesh Ramesh Bhagat, Anuj Sharma:
Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments. CoRR abs/2405.14876 (2024) - 2023
- [j47]Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan:
Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey. Artif. Intell. Rev. 56(Supplement 3): 3003-3055 (2023) - [j46]Arya Haghighat, Anuj Sharma:
A computer vision-based deep learning model to detect wrong-way driving using pan-tilt-zoom traffic cameras. Comput. Aided Civ. Infrastructure Eng. 38(1): 119-132 (2023) - [j45]Charanjeet Singh, Anuj Sharma:
A review of online supervised learning. Evol. Syst. 14(2): 343-364 (2023) - [j44]Mohammad Abdallah Ali Alryalat, Haroun Alryalat, Khalid H. M. Alhamzi, Anuj Sharma:
Perceived Barriers to Business-to-Government (B2G) E-Commerce Adoption: The Case of Government E-Marketplace (GeM) Portal in India. Int. J. Electron. Gov. Res. 19(1): 1-19 (2023) - [j43]Surabhi Singh, Shiwangi Singh, Alex Koohang, Anuj Sharma, Sanjay Dhir:
Soft computing in business: exploring current research and outlining future research directions. Ind. Manag. Data Syst. 123(8): 2079-2127 (2023) - [j42]Sheshadri Chatterjee, Nripendra P. Rana, Sangeeta Khorana, Patrick Mikalef, Anuj Sharma:
Assessing Organizational Users' Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach. Inf. Syst. Frontiers 25(4): 1299-1313 (2023) - [j41]Anuj Sharma, Alex Koohang, Nripendra P. Rana, Salma S. Abed, Yogesh K. Dwivedi:
Journal of Computer Information Systems: Intellectual and Conceptual Structure. J. Comput. Inf. Syst. 63(1): 37-67 (2023) - [j40]Subhadipto Poddar, Pranamesh Chakraborty, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins:
Massively parallelizable approach for evaluating signalized arterial performance using probe-based data. J. Intell. Transp. Syst. 27(4): 488-502 (2023) - [j39]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. SoftwareX 24: 101588 (2023) - [j38]Weiheng Chai, Jiajing Chen, Jiyang Wang, Senem Velipasalar, Archana Venkatachalapathy, Yaw Adu-Gyamfi, Jennifer Merickel, Anuj Sharma:
Driver Head Pose Detection From Naturalistic Driving Data. IEEE Trans. Intell. Transp. Syst. 24(9): 9368-9377 (2023) - [c41]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548 - [c40]Munish Katoch, Kavita Devi, Anuj Sharma, Prikshat Kumar Angra, Pritpal Singh, Ashwani Kumar:
Enhancing the Security of E-Healthcare Transactions Using Hyperledger Fabric Modular Blockchain Framework. IC3I 2023: 1344-1348 - [c39]Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma:
A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet. ICDAR Workshops (2) 2023: 226-241 - [c38]Ibne Farabi Shihab, Sudesh Ramesh Bhagat, Anuj Sharma:
Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management. ITSC 2023: 5092-5099 - [c37]Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma:
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. ITSC 2023: 5750-5755 - [c36]Sahil Jaiswal, Pranamesh Chakraborty, Tingting Huang, Anuj Sharma:
Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification. MT-ITS 2023: 1-6 - [i39]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023) - [i38]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR abs/2306.10159 (2023) - [i37]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension. CoRR abs/2308.05698 (2023) - [i36]Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma:
Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach. CoRR abs/2310.02351 (2023) - [i35]James Gunn, Zygmunt Lenyk, Anuj Sharma, Andrea Donati, Alexandru Buburuzan, John Redford, Romain Mueller:
Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers. CoRR abs/2312.14919 (2023) - 2022
- [j37]Prabhjot Kaur, Anuj Sharma, Vanita Verma, Kalpana Dahiya:
An alternate approach to solve two-level hierarchical time minimization transportation problem. 4OR 20(1): 23-61 (2022) - [j36]Ekta Jain, Kalpana Dahiya, Anuj Sharma, Vanita Verma:
Task preference-based bottleneck assignment problem. Comput. Appl. Math. 41(7) (2022) - [j35]Fanrong Xie, Anuj Sharma, Zuoan Li:
An alternate approach to solve two-level priority based assignment problem. Comput. Optim. Appl. 81(2): 613-656 (2022) - [j34]Saeed Arabi, Anuj Sharma, Michelle Reyes, Cara Hamann, Corinne Peek-Asa:
Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images. Sensors 22(7): 2736 (2022) - [j33]Jiyang Wang, Weiheng Chai, Archana Venkatachalapathy, Kai Liang Tan, Arya Haghighat, Senem Velipasalar, Yaw Adu-Gyamfi, Anuj Sharma:
A Survey on Driver Behavior Analysis From In-Vehicle Cameras. IEEE Trans. Intell. Transp. Syst. 23(8): 10186-10209 (2022) - [c35]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [c34]Lalita Kumari, Sukhdeep Singh, Anuj Sharma:
Page Level Input for Handwritten Text Recognition in Document Images. ICHSA 2022: 171-183 - [c33]Charanjeet Singh, Anuj Sharma:
Online Newton Step Based on Pseudo-Inverse and Elementwise Multiplication. ICHSA 2022: 381-393 - [c32]Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma:
A Lexicon and Depth-Wise Separable Convolution Based Handwritten Text Recognition System. IVCNZ 2022: 442-456 - [i34]Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Jiyang Wang, Senem Velipasalar Gursoy, David C. Anastasiu, Shuo Wang:
Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. CoRR abs/2204.08096 (2022) - [i33]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - [i32]Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma:
LexiconNet: An End-to-End Handwritten Paragraph Text Recognition System. CoRR abs/2205.11018 (2022) - [i31]Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma:
A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System. CoRR abs/2207.04651 (2022) - [i30]Ujjwal Thakur, Anuj Sharma:
Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers. CoRR abs/2208.09662 (2022) - [i29]Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore, Anuj Sharma:
Lexicon and Attention based Handwritten Text Recognition System. CoRR abs/2209.04817 (2022) - [i28]Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matthew Rizzo, Anuj Sharma:
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. CoRR abs/2211.06463 (2022) - 2021
- [j32]Nitika Sharma, Pooja Goel, Anuj Sharma:
"I Can Live Without Banks, but Not Without Banking": Role of Trust on Loyalty and Evangelism. Int. J. Electron. Gov. Res. 17(3): 1-20 (2021) - [j31]Anuj Sharma, Nripendra P. Rana, Robin Nunkoo:
Fifty years of information management research: A conceptual structure analysis using structural topic modeling. Int. J. Inf. Manag. 58: 102316 (2021) - [j30]Atousa Zarindast, Anuj Sharma, Jonathan Wood:
Application of text mining in smart lighting literature - an analysis of existing literature and a research agenda. Int. J. Inf. Manag. Data Insights 1(2): 100032 (2021) - [j29]Jasleen Kaur Bains, Sukhdeep Singh, Anuj Sharma:
Dynamic features based stroke recognition system for signboard images of Gurmukhi text. Multim. Tools Appl. 80(1): 665-689 (2021) - [j28]Billur Kazaz, Subhadipto Poddar, Saeed Arabi, Michael A. Perez, Anuj Sharma, J. Blake Whitman:
Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices. Sensors 21(8): 2834 (2021) - [j27]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
LIBS2ML: A library for scalable second order machine learning algorithms. Softw. Impacts 10: 100123 (2021) - [c31]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [c30]Hongwei Zhang, Yong Guan, Ahmed E. Kamal, Daji Qiao, Mai Zheng, Anish Arora, Ozdal Boyraz, Brian Cox, Thomas Daniels, Matthew J. Darr, Doug Jacobson, Ashfaq Khokhar, Sang Wu Kim, James Koltes, Jia Liu, Mike Luby, Larysa Nadolny, Joshua M. Peschel, Patrick S. Schnable, Anuj Sharma, Arun Somani, Lie Tang:
ARA: A Wireless Living Lab Vision for Smart and Connected Rural Communities. WiNTECH 2021: 9-16 - [i27]Atousa Zarindast, Anuj Sharma:
Big Data application in congestion detection and classification using Apache spark. CoRR abs/2101.06524 (2021) - [i26]Atousa Zarindast, Jonathan Wood, Anuj Sharma:
A data-driven personalized smart lighting recommender system. CoRR abs/2104.02164 (2021) - [i25]Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma:
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. CoRR abs/2104.06856 (2021) - [i24]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CoRR abs/2104.12233 (2021) - [i23]Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma:
HCR-Net: A deep learning based script independent handwritten character recognition network. CoRR abs/2108.06663 (2021) - [i22]Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty, Tingting Huang, Dave Ness, Duane Ritcher, Anuj Sharma:
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections. CoRR abs/2111.09171 (2021) - [i21]Ujjwal Thakur, Anuj Sharma:
Newton methods based convolution neural networks using parallel processing. CoRR abs/2112.01401 (2021) - 2020
- [j26]Charanjeet Singh, Anuj Sharma:
Online Learning Using Multiple Times Weight Updating. Appl. Artif. Intell. 34(6): 515-536 (2020) - [j25]Sudhir Rohilla, Anuj Sharma, R. K. Singla:
Role of sub-trajectories in online signature verification. Array 6: 100028 (2020) - [j24]Saeed Arabi, Arya Haghighat, Anuj Sharma:
A deep-learning-based computer vision solution for construction vehicle detection. Comput. Aided Civ. Infrastructure Eng. 35(7): 753-767 (2020) - [j23]Charanjeet Singh, Anuj Sharma:
Modified online Newton step based on elementwise multiplication. Comput. Intell. 36(3): 1010-1025 (2020) - [j22]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
Stochastic trust region inexact Newton method for large-scale machine learning. Int. J. Mach. Learn. Cybern. 11(7): 1541-1555 (2020) - [j21]Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey:
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020) - [j20]Alaa Fezai, Anuj Sharma, Wolfgang Müller-Hirsch, André Zimmermann:
Identification of the Viscoelastic Properties of Soft Thermal Interface Layers Through Forward and Inverse Measurement Techniques. IEEE Trans. Instrum. Meas. 69(7): 4908-4918 (2020) - [c29]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CVPR Workshops 2020: 2665-2674 - [c28]Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. IV 2020: 238-245 - [i20]Anuj Sharma, Syed Mohammed Arshad Zaidi:
Optimizations to the Parallel Breath First Search on Distributed Memory. CoRR abs/2003.04826 (2020) - [i19]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CoRR abs/2004.14619 (2020) - [i18]Tongge Huang, Pranamesh Chakraborty, Anuj Sharma:
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images. CoRR abs/2005.04188 (2020)
2010 – 2019
- 2019
- [j19]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Problem formulations and solvers in linear SVM: a review. Artif. Intell. Rev. 52(2): 803-855 (2019) - [j18]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
SAAGs: Biased stochastic variance reduction methods for large-scale learning. Appl. Intell. 49(9): 3331-3361 (2019) - [j17]Ekta Jain, Kalpana Dahiya, Anuj Sharma, Vanita Verma:
An improved algorithm for two stage time minimization assignment problem. J. Comb. Optim. 37(2): 713-736 (2019) - [j16]Vesal Ahsani, Mostafa Amin-Naseri, Skylar Knickerbocker, Anuj Sharma:
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision. J. Intell. Transp. Syst. 23(2): 103-119 (2019) - [j15]Sukhdeep Singh, Anuj Sharma:
Online Handwritten Gurmukhi Words Recognition: An Inclusive Study. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(3): 21:1-21:55 (2019) - [c27]Koray Ozcan, Anuj Sharma, Skylar Knickerbocker, Jennifer Merickel, Neal Hawkins, Matthew Rizzo:
Road Weather Condition Estimation Using Fixed and Mobile Based Cameras. CVC (1) 2019: 192-204 - [c26]Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460 - [i17]Charanjeet, Anuj Sharma:
Modified online Newton step based on element wise multiplication. CoRR abs/1904.05633 (2019) - [i16]Saeed Arabi, Arya Haghighat, Anuj Sharma:
A deep learning based solution for construction equipment detection: from development to deployment. CoRR abs/1904.09021 (2019) - [i15]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms. CoRR abs/1904.09448 (2019) - [i14]Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR abs/1906.00093 (2019) - [i13]Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar:
Deep Reinforcement Learning for Adaptive Traffic Signal Control. CoRR abs/1911.06294 (2019) - 2018
- [j14]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
Faster learning by reduction of data access time. Appl. Intell. 48(12): 4715-4729 (2018) - [c25]Yue Zu, Chenhui Liu, Ran Dai, Anuj Sharma:
Hybrid Optimal Control for Time-Efficient Highway Traffic Management. ACC 2018: 4983-4988 - [c24]Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu:
The 2018 NVIDIA AI City Challenge. CVPR Workshops 2018: 53-60 - [c23]Pranamesh Chakraborty, Anuj Sharma, Chinmay Hegde:
Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach. ITSC 2018: 1840-1845 - [c22]Anuj Sharma, Robert Johnson, Florian Engert, Scott W. Linderman:
Point process latent variable models of larval zebrafish behavior. NeurIPS 2018: 10942-10953 - [i12]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques. CoRR abs/1801.05931 (2018) - [i11]Md Johirul Islam, Anuj Sharma, Hridesh Rajan:
A Cyberinfrastructure for BigData Transportation Engineering. CoRR abs/1805.00105 (2018) - [i10]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
SAAGs: Biased Stochastic Variance Reduction Methods. CoRR abs/1807.08934 (2018) - [i9]Charanjeet, Anuj Sharma:
Online learning using multiple times weight updating. CoRR abs/1811.00178 (2018) - [i8]Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. CoRR abs/1812.10426 (2018) - 2017
- [j13]Manoj Kumar, Tanpreet Kaur, Anuj Sharma:
Role of computational efficiency indices and pose clustering in effective decision making: An example of annulated furanones in Pf-DHFR space. Comput. Biol. Chem. 67: 48-61 (2017) - [j12]Sudhir Rohilla, Anuj Sharma, R. K. Singla:
Optimal feature set selection in online signature verification. Int. J. Biom. 9(4): 319-346 (2017) - [j11]Sukhdeep Singh, Anuj Sharma, Indu Chhabra:
A dominant points-based feature extraction approach to recognize online handwritten strokes. Int. J. Document Anal. Recognit. 20(1): 37-58 (2017) - [j10]Vincy Verghese, Chenhui Liu, Shankar C. Subramanian, Lelitha Vanajakshi, Anuj Sharma:
Development and Implementation of a Model-Based Road Traffic-Control Scheme. J. Comput. Civ. Eng. 31(3) (2017) - [j9]Anuj Sharma, Irene Moulitsas:
MPI to Coarray Fortran: Experiences with a CFD Solver for Unstructured Meshes. Sci. Program. 2017: 3409647:1-3409647:12 (2017) - [c21]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. ACML 2017: 49-64 - [c20]Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma:
Trust Region Levenberg-Marquardt Method for Linear SVM. ICAPR 2017: 1-6 - [c19]Koray Ozcan, Senem Velipasalar, Anuj Sharma:
Traffic Sign Detection from Lower-quality and Noisy Mobile Videos. ICDSC 2017: 15-20 - [c18]Milind Naphade, David C. Anastasiu, Anuj Sharma, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao:
The NVIDIA AI City Challenge. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c17]Shuo Wang, Koray Ozcan, Anuj Sharma:
Region-based deformable fully convolutional networks for multi-class object detection at signalized traffic intersections: NVIDIA AICity challenge 2017 Track 1. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-4 - [i7]Zhenhua Zhang, Lei Lin, Lei Zhu, Anuj Sharma:
Bi-National Delay Pattern Analysis For Commercial and Passenger Vehicles at Niagara Frontier Border. CoRR abs/1711.09723 (2017) - 2016
- [j8]Sourav Bagchi, Manoj Kumar, Anuj Sharma:
A multilayer screening approach toward the discovery of novel Pf-DHFR inhibitors. Comput. Biol. Chem. 62: 36-46 (2016) - [j7]Chenhui Liu, Anuj Sharma, Edward Smaglik, Sirisha Kothuri:
TraSER: A traffic signal event-based recorder. SoftwareX 5: 156-162 (2016) - [j6]Sukhdeep Singh, Anuj Sharma, Indu Chhabra:
Online Handwritten Gurmukhi Strokes Dataset Based on Minimal Set of Words. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(1): 1:1-1:20 (2016) - [c16]Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma:
Data driven exploration of traffic network system dynamics using high resolution probe data. CDC 2016: 7629-7634 - [c15]Kalpana Dahiya, Vinod Kumar Chauhan, Anuj Sharma:
Online Support Vector Machine Based on Minimum Euclidean Distance. CVIP (1) 2016: 89-99 - [c14]Sidharth Sudheer, Helen Thomas, Anuj Sharma, Lelitha Devi Vanajakshi:
Automated techniques for real time platoon detection and identification. ITSC 2016: 1820-1825 - [i6]Vivek Kumar, Srijita Barthwal, Rishabh Kishore, Ruchika Saklani, Anuj Sharma, Sandeep Sharma:
Lossy Data Compression Using Logarithm. CoRR abs/1604.02035 (2016) - 2015
- [j5]Chandra K. Jaggi, Venkata S. S. Yadavalli, Mona Verma, Anuj Sharma:
An EOQ model with allowable shortage under trade credit in different scenario. Appl. Math. Comput. 252: 541-551 (2015) - [j4]Anuj Sharma, Vanita Verma, Prabhjot Kaur, Kalpana Dahiya:
An iterative algorithm for two level hierarchical time minimization transportation problem. Eur. J. Oper. Res. 246(3): 700-707 (2015) - [j3]Anuj Sharma:
A combined static and dynamic feature extraction technique to recognize handwritten digits. Vietnam. J. Comput. Sci. 2(3): 133-142 (2015) - [c13]Ran Dai, Jing Dong, Anuj Sharma:
Distributed traffic control for reduced fuel consumption and travel time in transportation networks. ECC 2015: 2658-2663 - [c12]Yaw Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins, Michael Jackson:
Reliability of Probe Speed Data for Detecting Congestion Trends. ITSC 2015: 2243-2249 - [c11]S. P. Anusha, Lelitha Vanajakshi, Shankar C. Subramanian, Anuj Sharma:
Performance comparison of two model based schemes for estimation of queue and delay at signalized intersections. Intelligent Vehicles Symposium 2015: 988-993 - 2013
- [j2]Mo Zhao, Anuj Sharma, Dave G. Bernt, Joshua A. Meyer, Benjamin Dickey, Scott Rosenbaugh, Elizabeth Jones, Laurence R. Rilett:
Economic Analysis of Using a Renewable Wind Power System at a Signalized Intersection. J. Intell. Transp. Syst. 17(3): 210-220 (2013) - [c10]Anuj Sharma, Antonis Papanikolaou, Elias S. Manolakos:
Accelerating All-to-All Protein Structures Comparison with TMalign Using a NoC Many-Cores Processor Architecture. IPDPS Workshops 2013: 510-519 - [c9]Anuj Sharma, Shubhamoy Dey:
A boosted SVM based sentiment analysis approach for online opinionated text. RACS 2013: 28-34 - [i5]Anuj Sharma, Prabin Kumar Panigrahi:
A Review of Financial Accounting Fraud Detection based on Data Mining Techniques. CoRR abs/1309.3944 (2013) - [i4]Anuj Sharma, Prabin Kumar Panigrahi:
A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services. CoRR abs/1309.3945 (2013) - [i3]Anuj Sharma, Shubhamoy Dey:
Using Self-Organizing Maps for Sentiment Analysis. CoRR abs/1309.3946 (2013) - [i2]Anuj Sharma, Shubhamoy Dey:
Performance Investigation of Feature Selection Methods. CoRR abs/1309.3949 (2013) - [i1]Sanjog Ray, Anuj Sharma:
A Collaborative Filtering Based Approach for Recommending Elective Courses. CoRR abs/1309.6908 (2013) - 2012
- [c8]Anuj Sharma, Shubhamoy Dey:
A comparative study of feature selection and machine learning techniques for sentiment analysis. RACS 2012: 1-7 - [c7]Anuj Sharma, Shubhamoy Dey:
An artificial neural network based approach for sentiment analysis of opinionated text. RACS 2012: 37-42 - 2011
- [j1]Christos Andronis, Anuj Sharma, Vassilis Virvilis, Spyros Deftereos, Aris Persidis:
Literature mining, ontologies and information visualization for drug repurposing. Briefings Bioinform. 12(4): 357-368 (2011) - [c6]Vassilis Virvilis, Anuj Sharma, Miltiadis Koutsokeras:
Drug Repositioning on the Cloud. CloudCom 2011: 577-581 - [c5]Sanjog Ray, Anuj Sharma:
A Collaborative Filtering Based Approach for Recommending Elective Courses. ICISTM 2011: 330-339
2000 – 2009
- 2009
- [c4]Anuj Sharma, Rajesh Kumar, R. K. Sharma:
Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words Recognition. ICDAR 2009: 1241-1245 - 2006
- [c3]Deborah Barreau, Abe Crystal, Jane Greenberg, Anuj Sharma, Michael Conway, John Oberlin, Michael Shoffner, Stephen Seiberling:
Augmenting memory for student learning: Designing a context-aware capture system for biology education. ASIST 2006: 1-6 - [c2]Jane Greenberg, Abe Crystal, Anuj Sharma, Eva M. Méndez Rodríguez, John Oberlin, Michael Shoffner:
Memex Metadata (M2) for reflective learning. Dublin Core Conference 2006 - 2005
- [c1]Sudeep Mallick, Anuj Sharma:
Web Services as an Information Enabler in the Retail Industry. WEBIST 2005: 190-193
Coauthor Index
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