Application of deep learning for object detection AR Pathak, M Pandey, S Rautaray Procedia computer science 132, 1706-1717, 2018 | 804 | 2018 |
Topic-level sentiment analysis of social media data using deep learning AR Pathak, M Pandey, S Rautaray Applied Soft Computing 108, 107440, 2021 | 112 | 2021 |
Analysis of techniques for rumor detection in social media AR Pathak, A Mahajan, K Singh, A Patil, A Nair Procedia Computer Science 167, 2286-2296, 2020 | 76 | 2020 |
Application of deep learning approaches for sentiment analysis AR Pathak, B Agarwal, M Pandey, S Rautaray Deep learning-based approaches for sentiment analysis, 1-31, 2020 | 41 | 2020 |
Construing the big data based on taxonomy, analytics and approaches AR Pathak, M Pandey, S Rautaray Iran Journal of Computer Science 1 (4), 237-259, 2018 | 36 | 2018 |
Deep learning approaches for detecting objects from images: a review AR Pathak, M Pandey, S Rautaray Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2017 …, 2018 | 34 | 2018 |
Assessment of object detection using deep convolutional neural networks AR Pathak, M Pandey, S Rautaray, K Pawar Intelligent Computing and Information and Communication: Proceedings of 2nd …, 2018 | 29 | 2018 |
Personality analysis through handwriting recognition AR Pathak, A Raut, S Pawar, M Nangare, HS Abbott, P Chandak Journal of Discrete Mathematical Sciences and Cryptography 23 (1), 19-33, 2020 | 25 | 2020 |
Adaptive Model for Dynamic and Temporal Topic Modeling from Big Data using Deep Learning Architecture AR Pathak, M Pandey, S Rautaray International Journal of Intelligent Systems and Applications (IJISA) 11 (6 …, 2019 | 25 | 2019 |
Approaches of enhancing interoperations among high performance computing and big data analytics via augmentation AR Pathak, M Pandey, SS Rautaray Cluster Computing, 1-36, 2019 | 17 | 2019 |
Analysis of security techniques applied in database outsourcing AR Pathak, B Padmavathi IJCSIT) International Journal of Computer Science and Information …, 2014 | 15 | 2014 |
GPU-FAST-PROCLUS: a fast GPU-parallelized approach to projected clustering JR Jørgensen, K Scheel, I Assent, A Ram, AC Elster | 14 | 2022 |
Adaptive framework for deep learning based dynamic and temporal topic modeling from big data AR Pathak, M Pandey, S Rautaray Recent Patents on Engineering 14 (3), 394-402, 2020 | 13 | 2020 |
A secure framework for file encryption using base64 encoding AR Pathak, S Deshpande, M Panchal Computing and Network Sustainability: Proceedings of IRSCNS 2018, 359-366, 2019 | 12 | 2019 |
Empirical evaluation of deep learning models for sentiment analysis AR Pathak, M Pandey, S Rautaray Journal of Statistics and Management Systems 22 (4), 741-752, 2019 | 10 | 2019 |
Augmented execution in mobile cloud computing: a survey VS Jagtap, KV Pawar, AR Pathak 2014 International Conference on Electronic Systems, Signal Processing and …, 2014 | 10 | 2014 |
Adaptive model for sentiment analysis of social media data using deep learning AR Pathak, M Pandey, S Rautaray ICICCT 2019–System Reliability, Quality Control, Safety, Maintenance and …, 2020 | 9 | 2020 |
Survey of confidentiality and integrity in outsourced databases B Padmavathi, AR Pathak International Journal of Scientific Engineering and Technology 2 (3), 122-128, 2013 | 9 | 2013 |
Deep learning model for facial emotion recognition AR Pathak, S Bhalsing, S Desai, M Gandhi, P Patwardhan Proceedings of ICETIT 2019: Emerging Trends in Information Technology, 543-558, 2020 | 8 | 2020 |
Applying transfer learning to traffic surveillance videos for accident detection AR Pathak, AC Elster 2022 International Conference on Applied Artificial Intelligence (ICAPAI), 1-7, 2022 | 7 | 2022 |