Rajiv Ratn SHAH
Rajiv Ratn SHAH
Associate Professor, IIIT-Delhi
Verified email at - Homepage
Cited by
Cited by
Spotfake: A multi-modal framework for fake news detection
S Singhal, RR Shah, T Chakraborty, P Kumaraguru, S Satoh
2019 IEEE fifth international conference on multimedia big data (BigMM), 39-47, 2019
Bagged support vector machines for emotion recognition from speech
A Bhavan, P Chauhan, RR Shah
Knowledge-Based Systems 184, 104886, 2019
Detecting offensive tweets in hindi-english code-switched language
P Mathur, R Shah, R Sawhney, D Mahata
Proceedings of the sixth international workshop on natural language …, 2018
Learning path personalization and recommendation methods: A survey of the state-of-the-art
AH Nabizadeh, JP Leal, HN Rafsanjani, RR Shah
Expert Systems with Applications 159, 113596, 2020
Key2vec: Automatic ranked keyphrase extraction from scientific articles using phrase embeddings
D Mahata, J Kuriakose, R Shah, R Zimmermann
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Spotfake+: A multimodal framework for fake news detection via transfer learning (student abstract)
S Singhal, A Kabra, M Sharma, RR Shah, T Chakraborty, P Kumaraguru
Proceedings of the AAAI conference on artificial intelligence 34 (10), 13915 …, 2020
Did you offend me? classification of offensive tweets in hinglish language
P Mathur, R Sawhney, M Ayyar, R Shah
Proceedings of the 2nd workshop on abusive language online (ALW2), 138-148, 2018
Virtualization in wireless sensor networks: Fault tolerant embedding for internet of things
O Kaiwartya, AH Abdullah, Y Cao, J Lloret, S Kumar, RR Shah, M Prasad, ...
IEEE Internet of Things Journal 5 (2), 571-580, 2017
Exploring and learning suicidal ideation connotations on social media with deep learning
R Sawhney, P Manchanda, P Mathur, R Shah, R Singh
Proceedings of the 9th workshop on computational approaches to subjectivity …, 2018
A time-aware transformer based model for suicide ideation detection on social media
R Sawhney, H Joshi, S Gandhi, R Shah
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
Deep attentive learning for stock movement prediction from social media text and company correlations
R Sawhney, S Agarwal, A Wadhwa, R Shah
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Aspect-based financial sentiment analysis using deep learning
H Jangid, S Singhal, RR Shah, R Zimmermann
Companion Proceedings of the The Web Conference 2018, 1961-1966, 2018
Stock selection via spatiotemporal hypergraph attention network: A learning to rank approach
R Sawhney, S Agarwal, A Wadhwa, T Derr, RR Shah
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 497-504, 2021
Advisor: Personalized video soundtrack recommendation by late fusion with heuristic rankings
RR Shah, Y Yu, R Zimmermann
Proceedings of the 22nd ACM international conference on Multimedia, 607-616, 2014
What all do audio transformer models hear? probing acoustic representations for language delivery and its structure
J Shah, YK Singla, C Chen, RR Shah
arXiv preprint arXiv:2101.00387, 2021
Keyphrase extraction as sequence labeling using contextualized embeddings
D Sahrawat, D Mahata, H Zhang, M Kulkarni, A Sharma, R Gosangi, ...
Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020
A hitchhiker’s guide on distributed training of deep neural networks
KS Chahal, MS Grover, K Dey, RR Shah
Journal of Parallel and Distributed Computing 137, 65-76, 2020
Leveraging multimodal information for event summarization and concept-level sentiment analysis
RR Shah, Y Yu, A Verma, S Tang, AD Shaikh, R Zimmermann
Knowledge-Based Systems 108, 102-109, 2016
SNAP-BATNET: Cascading author profiling and social network graphs for suicide ideation detection on social media
R Mishra, PP Sinha, R Sawhney, D Mahata, P Mathur, RR Shah
Proceedings of the 2019 conference of the North American Chapter of the …, 2019
Geometry-based localization for GPS outage in vehicular cyber physical systems
O Kaiwartya, Y Cao, J Lloret, S Kumar, N Aslam, R Kharel, AH Abdullah, ...
IEEE Transactions on Vehicular Technology 67 (5), 3800-3812, 2018
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