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Journal Articles
- 2025
[j17]Zhensheng Liu, Prateek Agrawal, Saurabh Singhal
, Vishu Madaan, Mohit Kumar, Pawan Kumar Verma:
LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering. PeerJ Comput. Sci. 11: e2991 (2025)- [j16]Nikita Mohod, Prateek Agrawal, Vishu Madaan, Dimple Nagpal:
Deep Learning-Based Pertinent Video Frame Detection to Compressed Surveillance Video. SN Comput. Sci. 6(6): 750 (2025) - 2024
- [j15]Caixia Lv, Usha Mittal, Vishu Madaan, Prateek Agrawal:
Vehicle detection and classification using an ensemble of EfficientDet and YOLOv8. PeerJ Comput. Sci. 10: e2233 (2024) - [j14]Ravi Shanker, Vishu Madaan, Prateek Agrawal:
FSS-PART: Feature Grouping Subset Model for Predicting Network Attacks. SN Comput. Sci. 5(1): 94 (2024) - [j13]Chavi Ralhan, Navneet Malik, Prateek Agrawal, Charu Gupta, Nishtha jatana, Divya Jatain, Geetanjali Sharma:
Adaptive Prefix Filtering for Accurate Code Clone Detection in Conjunction with Meta-learning. SN Comput. Sci. 5(6): 789 (2024) - 2023
- [j12]Pawan Kumar Verma, Prateek Agrawal, Vishu Madaan, Radu Prodan:
MCred: multi-modal message credibility for fake news detection using BERT and CNN. J. Ambient Intell. Humaniz. Comput. 14(8): 10617-10629 (2023) - 2022
- [j11]Charu Gupta, Dev Gaur, Prateek Agrawal, Deepali Virmani:
HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine Learning. Int. J. E Health Medical Commun. 13(2): 1-15 (2022) - [j10]Pawan Kumar Verma, Prateek Agrawal, Vishu Madaan, Charu Gupta:
UCred: fusion of machine learning and deep learning methods for user credibility on social media. Soc. Netw. Anal. Min. 12(1): 54 (2022) - 2021
- [j9]Prateek Agrawal, Anatoliy Zabrovskiy, Adithyan Ilangovan, Christian Timmerer, Radu Prodan:
FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos. Clust. Comput. 24(3): 1605-1621 (2021) - [j8]Kartik Goel, Charu Gupta, Ria Rawal, Prateek Agrawal, Vishu Madaan:
FaD-CODS Fake News Detection on COVID-19 Using Description Logics and Semantic Reasoning. Int. J. Inf. Technol. Web Eng. 16(3): 1-20 (2021) - [j7]Prateek Agrawal, Deepak Chaudhary, Vishu Madaan, Anatoliy Zabrovskiy, Radu Prodan, Dragi Kimovski, Christian Timmerer:
Automated bank cheque verification using image processing and deep learning methods. Multim. Tools Appl. 80(4): 5319-5350 (2021) - [j6]Vishu Madaan, Aditya Roy, Charu Gupta, Prateek Agrawal, Anand Sharma, Cristian Bologa, Radu Prodan:
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks. New Gener. Comput. 39(3): 583-597 (2021) - [j5]Pawan Kumar Verma, Prateek Agrawal, Ivone Amorim, Radu Prodan:
WELFake: Word Embedding Over Linguistic Features for Fake News Detection. IEEE Trans. Comput. Soc. Syst. 8(4): 881-893 (2021) - 2020
- [j4]Ennio Torre, Juan José Durillo, Vincenzo De Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan:
A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. Inf. Softw. Technol. 128: 106390 (2020) - [j3]Neha Bhadwal, Prateek Agrawal, Vishu Madaan:
A Machine Translation System from Hindi to Sanskrit Language using Rule based Approach. Scalable Comput. Pract. Exp. 21(3): 543-554 (2020) - 2015
- [j2]Leena Jain, Prateek Agrawal:
Text independent root word identification in Hindi language using natural language processing. Int. J. Adv. Intell. Paradigms 7(3/4): 240-249 (2015) - [j1]Prateek Agrawal, Vishu Madaan, Vikas Kumar:
Fuzzy rule-based medical expert system to identify the disorders of eyes, ENT and liver. Int. J. Adv. Intell. Paradigms 7(3/4): 352-367 (2015)
Conference and Workshop Papers
- 2025
- [c15]Prateek Agrawal, Rashmi Kumari, Pabitra Das, Surita Sarkar, Amit Acharyya:
A Novel Deep-Learning Method for Obstructive Sleep Apnea Detection from Single Channel Photoplethysmography. ISCAS 2025: 1-5 - [c14]Rashmi Kumari, Prateek Agrawal, Surita Sarkar, Pabitra Das, Amit Acharyya:
A Novel Methodology for Obstructive Sleep Apnea Detection from ECG using Deep Learning Approach. ISCAS 2025: 1-5 - [c13]Rahul Verma, Pabitra Das, Surita Sarkar, Prateek Agrawal, Rashmi Kumari, Amit Acharyya:
XVPE-Net: A Novel Methodology for Interpretable Vital Parameter and Cuffless Blood Pressure Estimation from PPG Signal. ISCAS 2025: 1-5 - 2024
- [c12]Mukesh Madanan, Pratik Patel, Prateek Agrawal, Pankaj Mudholkar, Megha Mudholkar, V. Jaganraja:
Security Challenges in Multi-Cloud Environments: Solutions and Best Practices. IC3I 2024: 1608-1614 - [c11]Prateek Agrawal, Shivakumara Palaiahnakote, Yuvraj Singh, C. Pavan Kumar, Umapada Pal, Siddhant Dixit, Udit Jain, Abhishek Dubey:
A New Transformer Based Approach for Multiple Types of Vehicles Counting in Complex Indian Scenes. ICPR (Workshops and Challenges, 6) 2024: 291-305 - 2023
- [c10]Munleef Quadir, Prateek Agrawal, Charu Gupta:
A Comparative Analysis of Deepfake Detection Techniques: A Review. IC3I 2023: 1035-1041 - [c9]Debasish Samal, Prateek Agrawal, Vishu Madaan:
Deepfake Image Detection & Classification using Conv2D Neural Networks. ACI@ICAIDS 2023: 113-128 - [c8]Munleef Bhat, Prateek Agrawal, Charu Gupta:
DFDA: An Analysis of Deep Learning Models to Detect Deepfake Videos. ACI@ICAIDS 2023: 129-140 - 2021
- [c7]Anatoliy Zabrovskiy, Prateek Agrawal, Christian Timmerer, Radu Prodan:
FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning. FRUCT 2021: 292-302 - [c6]Charu Gupta, Prateek Agrawal:
Pragmatic Analysis of Classification Techniques based on Hyperparameter Tuning for Sentiment Analysis. ISIC 2021: 453-459 - 2020
- [c5]Anatoliy Zabrovskiy, Prateek Agrawal, Roland Mathá, Christian Timmerer, Radu Prodan:
ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network. BigMM 2020: 316-325 - [c4]Lukas Brunke, Prateek Agrawal, Nikhil George:
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison. ECCV Workshops (1) 2020: 120-134 - [c3]Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Justyna, Javier García-Blas:
M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. PDP 2020: 72-79 - 2019
- [c2]Nivid Limbasiya, Prateek Agrawal:
Semantic Textual Similarity and Factorization Machine Model for Retrieval of Question-Answering. ICACDS (2) 2019: 195-206 - 2017
- [c1]Arpita Das, Saurabh Shrivastava, Manoj Kumar Chinnakotla, Prateek Agrawal, Sandeep Sahoo:
Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search. LEARNER@ICTIR 2017
Editorship
- 2024
- [e1]Prateek Agrawal, Ashwani Kumar, Vishu Madaan, Vladislav Kashansky, Pawan Kumar Verma:
Workshop on Advances in Computational Intelligence (ACI-2023) co-located with the 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023), Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India, 29th-30th December 2023. CEUR Workshop Proceedings 3706, CEUR-WS.org 2024 [contents]
Data and Artifacts
- 2021
- [d1]Pawan Kumar Verma, Prateek Agrawal, Radu Prodan:
WELFake dataset for fake news detection in text data. Zenodo, 2021
Informal and Other Publications
- 2021
- [i2]Prateek Agrawal, Pratik Prabhanjan Brahma:
Single Shot Multitask Pedestrian Detection and Behavior Prediction. CoRR abs/2101.02232 (2021) - [i1]Lukas Brunke, Prateek Agrawal, Nikhil George:
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison. CoRR abs/2101.10977 (2021)
Coauthor Index
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last updated on 2025-10-16 00:09 CEST by the dblp team
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