default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRajiv Ratn Shah
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j23]Maitree Leekha
, Shahid Nawaz Khan, Harshita Srinivas, Rajiv Ratn Shah, Jainendra Shukla:
VyaktitvaNirdharan: Multimodal Assessment of Personality and Trait Emotional Intelligence. IEEE Trans. Affect. Comput. 15(4): 2139-2153 (2024)- [c183]Avinash Anand, Ashwin R. Nair, Kritarth Prasad, Vrinda Narayan, Naman Lal, Debanjan Mahata, Yaman Singla, Rajiv Ratn Shah:
Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models. CIKM 2024: 56-64 - [c182]Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Multilingual Coreference Resolution in Low-resource South Asian Languages. LREC/COLING 2024: 11813-11826 - [c181]Mahisha Ramesh, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann, Shin'ichi Satoh:
Unveiling Learner Dynamics: The ECLIPSE Dataset and NeuralGaze Framework for Prolonged Engagement Assessment in Online Learning. ECAI 2024: 696-703 - [c180]Debnath Kundu, Atharva Mehta, Rajesh Kumar, Naman Lal, Avinash Anand, Apoorv Singh, Rajiv Ratn Shah:
Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs. IJCB 2024: 1-10 - [c179]Samyak Jain, Rishi Singhal, Sriram Krishna, Yaman Kumar Singla, Rajiv Ratn Shah:
Beyond Words: A Topological Exploration of Coherence in Text Documents. Tiny Papers @ ICLR 2024 - [c178]Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. ICLR 2024 - [c177]Hitkul Jangra, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Put Your Money Where Your Mouth Is: Dataset and Analysis of Real World Habit Building Attempts. ICWSM 2024: 1967-1978 - [c176]Avinash Anand, Raj Jaiswal, Abhishek Dharmadhikari, Atharva Marathe, Harsh Popat, Harshil Mital, Ashwin R. Nair, Kritarth Prasad, Sidharth Kumar, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann:
GeoVQA: A Comprehensive Multimodal Geometry Dataset for Secondary Education. MIPR 2024: 102-108 - [c175]Avinash Anand, Avni Mittal, Laavanaya Dhawan, Juhi Krishnamurthy, Mahisha Ramesh, Naman Lal, Astha Verma, Pijush Bhuyan, Himani, Rajiv Ratn Shah, Roger Zimmermann, Shin'ichi Satoh:
ExCEDA: Unlocking Attention Paradigms in Extended Duration E-Classrooms by Leveraging Attention-Mechanism Models. MIPR 2024: 301-307 - [c174]Avinash Anand, Sarthak Jain, Shashank Sharma, Akhil P. Dominic, Aman Gupta, Ashta Verma, Raj Jaiswal, Naman Lal, Rajiv Ratn Shah, Roger Zimmermann:
Pulse of the Crowd: Quantifying Crowd Energy through Audio and Video Analysis. MIPR 2024: 308-314 - [c173]Yuan Xie, Yichen Zhang, Yifang Yin, Sheng Zhang, Ying Zhang, Rajiv Ratn Shah, Roger Zimmermann, Guoqing Xiao:
Traj2Former: A Local Context-aware Snapshot and Sequential Dual Fusion Transformer for Trajectory Classification. ACM Multimedia 2024: 8053-8061 - [c172]Shivam Mhaskar, Nirmesh Shah, Mohammadi Zaki, Ashishkumar P. Gudmalwar, Pankaj Wasnik, Rajiv Ratn Shah:
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning. NAACL-HLT (Findings) 2024: 3966-3976 - [c171]Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta, Rajiv Ratn Shah:
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting. PAKDD (5) 2024: 53-64 - [i97]Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Multilingual Coreference Resolution in Low-resource South Asian Languages. CoRR abs/2402.13571 (2024) - [i96]Shivam Ratnakant Mhaskar, Nirmesh J. Shah, Mohammadi Zaki, Ashishkumar P. Gudmalwar, Pankaj Wasnik, Rajiv Ratn Shah:
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning. CoRR abs/2403.15469 (2024) - [i95]Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta, Rajiv Ratn Shah:
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting. CoRR abs/2404.08704 (2024) - [i94]Avinash Anand, Raj Jaiswal, Mohit Gupta, Siddhesh S. Bangar, Pijush Bhuyan, Naman Lal, Rajeev Singh, Ritika Jha, Rajiv Ratn Shah, Shin'ichi Satoh:
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization. CoRR abs/2404.09530 (2024) - [i93]Avinash Anand, Mohit Gupta, Kritarth Prasad, Ujjwal Goel, Naman Lal, Astha Verma, Rajiv Ratn Shah:
KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models. CoRR abs/2404.09763 (2024) - [i92]Avinash Anand, Raj Jaiswal, Pijush Bhuyan, Mohit Gupta, Siddhesh Bangar, Md. Modassir Imam, Rajiv Ratn Shah, Shin'ichi Satoh:
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content. CoRR abs/2404.10305 (2024) - [i91]Avinash Anand, Janak Kapuriya, Chhavi Kirtani, Apoorv Singh, Jay Saraf, Naman Lal, Jatin Kumar, Adarsh Raj Shivam, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann:
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering. CoRR abs/2404.12926 (2024) - [i90]Avinash Anand, Mohit Gupta, Kritarth Prasad, Navya Singla, Sanjana Sanjeev, Jatin Kumar, Adarsh Raj Shivam, Rajiv Ratn Shah:
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks. CoRR abs/2404.13099 (2024) - [i89]Avinash Anand, Kritarth Prasad, Ujjwal Goel, Mohit Gupta, Naman Lal, Astha Verma, Rajiv Ratn Shah:
Context-Enhanced Language Models for Generating Multi-Paper Citations. CoRR abs/2404.13865 (2024) - [i88]Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. CoRR abs/2405.00942 (2024) - [i87]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations. CoRR abs/2406.05661 (2024) - [i86]Ashishkumar P. Gudmalwar, Nirmesh Shah, Sai Akarsh, Pankaj Wasnik, Rajiv Ratn Shah:
VECL-TTS: Voice identity and Emotional style controllable Cross-Lingual Text-to-Speech. CoRR abs/2406.08076 (2024) - [i85]Neha Sahipjohn, Ashishkumar P. Gudmalwar, Nirmesh Shah, Pankaj Wasnik, Rajiv Ratn Shah:
DubWise: Video-Guided Speech Duration Control in Multimodal LLM-based Text-to-Speech for Dubbing. CoRR abs/2406.08802 (2024) - [i84]Debnath Kundu, Atharva Mehta, Rajesh Kumar, Naman Lal, Avinash Anand, Apoorv Singh, Rajiv Ratn Shah:
Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs. CoRR abs/2406.15335 (2024) - [i83]Avinash Anand, Chayan Tank, Sarthak Pol, Vinayak Katoch, Shaina Mehta, Rajiv Ratn Shah:
Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities. CoRR abs/2407.06125 (2024) - [i82]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Speech Representation Learning Revisited: The Necessity of Separate Learnable Parameters and Robust Data Augmentation. CoRR abs/2408.10557 (2024) - [i81]Ritwik Mishra, Sreeram Vennam, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Multilingual Non-Factoid Question Answering with Silver Answers. CoRR abs/2408.10604 (2024) - [i80]Mayank Kharbanda, Rajiv Ratn Shah, Raghava Mutharaju:
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs. CoRR abs/2408.11526 (2024) - [i79]Hemant Yadav, Rajiv Ratn Shah, Sunayana Sitaram:
JOOCI: a Framework for Learning Comprehensive Speech Representations. CoRR abs/2410.11086 (2024) - 2023
- [j22]Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah:
Automated Speech Scoring System Under The Lens. Int. J. Artif. Intell. Educ. 33(1): 119-154 (2023) - [j21]Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman Kumar Singla, Alexi Orchard, Rajiv Ratn Shah:
EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 9(2): 24-29 (2023) - [j20]Yaman Kumar, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen:
Automatic Essay Scoring Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. Dialogue Discourse 14(1): 1-33 (2023) - [j19]Yi Yu, Zhe Zhang, Wei Duan, Abhishek Srivastava, Rajiv Ratn Shah, Yi Ren:
Conditional hybrid GAN for melody generation from lyrics. Neural Comput. Appl. 35(4): 3191-3202 (2023) - [j18]Astha Verma, A. Venkata Subramanyam, Zheng Wang, Shin'ichi Satoh, Rajiv Ratn Shah:
Unsupervised Domain Adaptation for Person Re-Identification Via Individual-Preserving and Environmental-Switching Cyclic Generation. IEEE Trans. Multim. 25: 364-377 (2023) - [c170]Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen:
Persuasion Strategies in Advertisements. AAAI 2023: 57-66 - [c169]Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital, Cheril Shah, Manish Bawkar, Lakshman Prasad Gupta, Ajit Kumar, Yaman Kumar, Rushali Gupta, Rajiv Ratn Shah:
H-AES: Towards Automated Essay Scoring for Hindi. AAAI 2023: 15955-15963 - [c168]Hemant Yadav, Rajiv Ratn Shah:
Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract). AAAI 2023: 16374-16375 - [c167]Ritwik Mishra, Simranjeet Singh, Jasmeet Kaur, Pushpendra Singh, Rajiv Ratn Shah:
Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India. ClinicalNLP@ACL 2023: 69-77 - [c166]Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah:
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-Supervised Setting. ASRU 2023: 1-7 - [c165]Avinash Anand, Mohit Gupta, Kritarth Prasad, Ujjwal Goel, Naman Lal, Astha Verma, Rajiv Ratn Shah:
KG-CTG: Citation Generation Through Knowledge Graph-Guided Large Language Models. BDA 2023: 37-49 - [c164]Avinash Anand, Arnav Goel, Medha Hira, Snehal Buldeo, Jatin Kumar, Astha Verma, Rushali Gupta, Rajiv Ratn Shah:
SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q &A. BDA 2023: 50-63 - [c163]Avinash Anand, Krishnasai Addala, Kabir Baghel, Arnav Goel, Medha Hira, Rushali Gupta, Rajiv Ratn Shah:
Revolutionizing High School Physics Education: A Novel Dataset. BDA 2023: 64-79 - [c162]Avinash Anand, Kritarth Prasad, Ujjwal Goel, Mohit Gupta, Naman Lal, Astha Verma, Rajiv Ratn Shah:
Context-Enhanced Language Models for Generating Multi-paper Citations. BDA 2023: 80-94 - [c161]Avinash Anand, Atharv Jairath, Naman Lal, Siddhesh Bangar, Jagriti Sikka, Astha Verma, Rajiv Ratn Shah, Shin'ichi Satoh:
GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs and Scholarly Papers. BDA 2023: 95-110 - [c160]Ritwik Mishra, Ajeet Yadav, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Explaining Finetuned Transformers on Hate Speech Predictions Using Layerwise Relevance Propagation. BDA 2023: 201-214 - [c159]Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. EMNLP 2023: 9822-9839 - [c158]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Analysing the Masked Predictive Coding Training Criterion for Pre-Training a Speech Representation Model. ICASSP 2023: 1-5 - [c157]Astha Verma, A. Venkata Subramanyam, Mohammad Ali Jauhar, Divij Gera, Rajiv Ratn Shah:
Meta Perturbed Re-Id Defense. ICME 2023: 2597-2602 - [c156]Hitkul Jangra, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Effect of Feedback on Drug Consumption Disclosures on Social Media. ICWSM 2023: 435-446 - [c155]Ritwik Mishra, Simranjeet Singh, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Pushpak Bhattacharyya:
IndIE: A Multilingual Open Information Extraction Tool For Indic Languages. IJCNLP (Findings) 2023: 312-326 - [c154]Mann Khatri, Reshma Sheik, Yaman Kumar, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing. JURIX 2023: 257-262 - [c153]Sahil Goyal, Sarthak Bhagat, Shagun Uppal, Hitkul Jangra, Yi Yu, Yifang Yin, Rajiv Ratn Shah:
Emotionally Enhanced Talking Face Generation. MCGE@MM 2023: 81-90 - [c152]Avinash Anand, Raj Jaiswal, Mohit Gupta, Siddhesh S. Bangar, Pijush Bhuyan, Naman Lal, Rajeev Singh, Ritika Jha, Rajiv Ratn Shah, Shin'ichi Satoh:
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization. MMAsia 2023: 74:1-74:6 - [c151]Avinash Anand, Raj Jaiswal, Pijush Bhuyan, Mohit Gupta, Siddhesh Bangar, Md. Modassir Imam, Rajiv Ratn Shah, Shin'ichi Satoh:
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content. MMIR@MM 2023: 11-18 - [c150]Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
A Suspect Identification Framework using Contrastive Relevance Feedback. WACV 2023: 4350-4358 - [i78]Mohit Sharma, Amit Deshpande, Rajiv Ratn Shah:
On Testing and Comparing Fair classifiers under Data Bias. CoRR abs/2302.05906 (2023) - [i77]Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital, Cheril Shah, Manish Bawkar, Lakshman Prasad Gupta, Ajit Kumar, Yaman Kumar, Rushali Gupta, Rajiv Ratn Shah:
H-AES: Towards Automated Essay Scoring for Hindi. CoRR abs/2302.14635 (2023) - [i76]Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah:
Analysing the Masked predictive coding training criterion for pre-training a Speech Representation Model. CoRR abs/2303.06982 (2023) - [i75]Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Yi Yu, Yifang Yin, Rajiv Ratn Shah:
Emotionally Enhanced Talking Face Generation. CoRR abs/2303.11548 (2023) - [i74]Astha Verma, Siddhesh Bangar, A. Venkata Subramanyam, Naman Lal, Rajiv Ratn Shah, Shin'ichi Satoh:
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser. CoRR abs/2304.06430 (2023) - [i73]Mann Khatri, Pritish Wadhwa, Gitansh Raj Satija, Reshma Sheik, Yaman Kumar, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing. CoRR abs/2305.03508 (2023) - [i72]Aanisha Bhattacharya, Yaman Kumar Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. CoRR abs/2305.09758 (2023) - [i71]Arnav Goel, Medha Hira, Avinash Anand, Siddhesh Bangar, Rajiv Ratn Shah:
Advancements in Scientific Controllable Text Generation Methods. CoRR abs/2307.05538 (2023) - [i70]Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. CoRR abs/2309.00359 (2023) - [i69]Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy:
Long-Term Memorability On Advertisements. CoRR abs/2309.00378 (2023) - [i68]Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah:
Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting. CoRR abs/2310.05078 (2023) - [i67]Mann Khatri, Mirza Yusuf, Yaman Kumar, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Exploring Graph Neural Networks for Indian Legal Judgment Prediction. CoRR abs/2310.12800 (2023) - [i66]Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Rajiv Ratn Shah, Changyou Chen, Zhiqiang Xu, Balaji Krishnamurthy:
Behavior Optimized Image Generation. CoRR abs/2311.10995 (2023) - 2022
- [j17]Shivangi Singhal, Rishabh Kaushal, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Fake news in India: scale, diversity, solution, and opportunities. Commun. ACM 65(11): 80-81 (2022) - [j16]Mohit Agrawal, Pragyan Mehrotra, Rajesh Kumar, Rajiv Ratn Shah:
GANTouch: An Attack-Resilient Framework for Touch-Based Continuous Authentication System. IEEE Trans. Biom. Behav. Identity Sci. 4(4): 533-543 (2022) - [j15]Yifang Yin, Ying Zhang, Zhenguang Liu, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
GPS2Vec: Pre-Trained Semantic Embeddings for Worldwide GPS Coordinates. IEEE Trans. Multim. 24: 890-903 (2022) - [c149]Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
MINIMAL: Mining Models for Universal Adversarial Triggers. AAAI 2022: 11330-11339 - [c148]Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen:
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. AAAI 2022: 12835-12843 - [c147]Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
Contrastive Personalization Approach to Suspect Identification (Student Abstract). AAAI 2022: 12961-12962 - [c146]Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah:
LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents. DL4SR@CIKM 2022 - [c145]Anubha Kabra, Mehar Bhatia, Yaman Kumar Singla, Junyi Jessy Li, Rajiv Ratn Shah:
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems. COMAD/CODS 2022: 90-99 - [c144]Yaman Kumar Singla, Jui Shah, Changyou Chen, Rajiv Ratn Shah:
What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure. ICDM (Workshops) 2022: 910-925 - [c143]Suhavi, Asmit Kumar Singh, Udit Arora, Somyadeep Shrivastava, Aryaveer Singh, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Twitter-STMHD: An Extensive User-Level Database of Multiple Mental Health Disorders. ICWSM 2022: 1182-1191 - [c142]Shivangi Singhal, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
FactDrill: A Data Repository of Fact-Checked Social Media Content to Study Fake News Incidents in India. ICWSM 2022: 1322-1331 - [c141]Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black, Rajiv Ratn Shah:
Intent classification using pre-trained language agnostic embeddings for low resource languages. INTERSPEECH 2022: 3473-3477 - [c140]Sreyan Ghosh, Sonal Kumar, Yaman Kumar, Rajiv Ratn Shah, Srinivasan Umesh:
Span Classification with Structured Information for Disfluency Detection in Spoken Utterances. INTERSPEECH 2022: 3998-4002 - [c139]Sreyan Ghosh, Samden Lepcha, Sakshi Singh, Rajiv Ratn Shah, Srinivasan Umesh:
DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances. INTERSPEECH 2022: 5185-5189 - [c138]Astha Verma, A. Venkata Subramanyam, Rajiv Ratn Shah:
Wasserstein Metric Attack on Person Re-identification. MIPR 2022: 234-239 - [c137]Sahil Goyal, Shagun Uppal, Sarthak Bhagat, Dhroov Goel, Sakshat Mali, Yi Yu, Yifang Yin, Rajiv Ratn Shah:
Emotional Talking Faces: Making Videos More Expressive and Realistic. MMAsia 2022: 42:1-42:3 - [c136]Abhishek Srivastava, Wei Duan, Rajiv Ratn Shah, Jianming Wu, Suhua Tang, Wei Li, Yi Yu:
Melody Generation from Lyrics Using Three Branch Conditional LSTM-GAN. MMM (1) 2022: 569-581 - [c135]Sherzod Hakimov, Gullal Singh Cheema, Marc A. Kastner, Rajiv Ratn Shah, Karan Sikka:
MUWS'22: 1st International Workshop on Multimodal Understanding for the Web and Social Media. WWW (Companion Volume) 2022: 692-693 - [c134]Shivangi Singhal, Tanisha Pandey, Saksham Mrig, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection. WWW (Companion Volume) 2022: 726-734 - [i65]Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah:
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents. CoRR abs/2203.15349 (2022) - [i64]Sreyan Ghosh, Sonal Kumar, Yaman Kumar Singla, Rajiv Ratn Shah, Srinivasan Umesh:
Span Classification with Structured Information for Disfluency Detection in Spoken Utterances. CoRR abs/2203.16028 (2022) - [i63]Devansh Gupta, Aditya Saini, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
FaIRCoP: Facial Image Retrieval using Contrastive Personalization. CoRR abs/2205.15870 (2022) - [i62]Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. CoRR abs/2208.09626 (2022) - [i61]Mohit Agrawal, Pragyan Mehrotra, Rajesh Kumar, Rajiv Ratn Shah:
GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System. CoRR abs/2210.01594 (2022) - [i60]Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Manan Suri, Rajiv Ratn Shah:
A novel multimodal dynamic fusion network for disfluency detection in spoken utterances. CoRR abs/2211.14700 (2022) - 2021
- [j14]Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Di Jin, Rajiv Ratn Shah:
Robust suicide risk assessment on social media via deep adversarial learning. J. Am. Medical Informatics Assoc. 28(7): 1497-1506 (2021) - [j13]Deepak Sharma, Bijendra Kumar, Satish Chand, Rajiv Ratn Shah:
Uncovering research trends and topics of communities in machine learning. Multim. Tools Appl. 80(6): 9281-9314 (2021) - [j12]Deepak Sharma, Bijendra Kumar, Satish Chand, Rajiv Ratn Shah:
A Trend Analysis of Significant Topics Over Time in Machine Learning Research. SN Comput. Sci. 2(6): 469 (2021) - [c133]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah:
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI 2021: 497-504 - [c132]Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann:
Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning. AAAI 2021: 10709-10717 - [c131]Ramit Sawhney, Mihir Goyal, Prakhar Goel, Puneet Mathur, Rajiv Ratn Shah:
Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines. ACL/IJCNLP (1) 2021: 6751-6762 - [c130]Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla:
Exploring Semi-Supervised Learning for Predicting Listener Backchannels. CHI 2021: 395:1-395:12 - [c129]Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CIKM 2021: 1681-1691 - [c128]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. EACL 2021: 2164-2175 - [c127]Ramit Sawhney, Harshit Joshi, Lucie Flek, Rajiv Ratn Shah:
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media. EACL 2021: 2415-2428 - [c126]Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah:
GupShup: Summarizing Open-Domain Code-Switched Conversations. EMNLP (1) 2021: 6177-6192 - [c125]Zaki Mustafa Farooqi, Sreyan Ghosh, Rajiv Ratn Shah:
Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets. FIRE (Working Notes) 2021: 63-74 - [c124]Suransh Chopra, Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Meta-Learning for Low-Resource Speech Emotion Recognition. ICASSP 2021: 6259-6263 - [c123]Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Roger Zimmermann:
LIFI: Towards Linguistically Informed Frame Interpolation. ICASSP 2021: 7593-7597 - [c122]Mohit Agrawal, Pragyan Mehrotra, Rajesh Kumar, Rajiv Ratn Shah:
Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks. IJCB 2021: 1-8 - [c121]Ramit Sawhney, Harshit Joshi, Alicia L. Nobles, Rajiv Ratn Shah:
Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention. ICWSM 2021: 609-620 - [c120]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. IJCAI 2021: 3552-3558 - [c119]Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
Learning Multi-context Aware Location Representations from Large-scale Geotagged Images. ACM Multimedia 2021: 899-907 - [c118]Shivangi Singhal, Mudit Dhawan, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Inter-modality Discordance for Multimodal Fake News Detection. MMAsia 2021: 33:1-33:7 - [c117]Mohit Sharma, Raj Aaryaman Patra, Harshal Desai, Shruti Vyas, Yogesh S. Rawat, Rajiv Ratn Shah:
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels. MMAsia 2021: 50:1-50:5 - [c116]Ramit Sawhney, Harshit Joshi, Rajiv Ratn Shah, Lucie Flek:
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning. NAACL-HLT 2021: 2176-2190 - [c115]Ramit Sawhney, Arshiya Aggarwal, Rajiv Ratn Shah:
An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls. NAACL-HLT 2021: 3751-3757 - [c114]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
Quantitative Day Trading from Natural Language using Reinforcement Learning. NAACL-HLT 2021: 4018-4030 - [c113]Ramit Sawhney, Puneet Mathur, Taru Jain, Akash Kumar Gautam, Rajiv Ratn Shah:
Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures. NAACL-HLT 2021: 4881-4892 - [c112]Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah:
Hyperbolic Online Time Stream Modeling. SIGIR 2021: 1682-1686 - [c111]Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah:
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. UAI 2021: 1671-1681 - [c110]Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah:
Towards Ordinal Suicide Ideation Detection on Social Media. WSDM 2021: 22-30 - [c109]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. WWW 2021: 11-22 - [i59]Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah, Mika Hama, Roger Zimmermann:
Towards Modelling Coherence in Spoken Discourse. CoRR abs/2101.00056 (2021) - [i58]Jui Shah, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah:
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure. CoRR abs/2101.00387 (2021) - [i57]Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla:
Exploring Semi-Supervised Learning for Predicting Listener Backchannels. CoRR abs/2101.01899 (2021) - [i56]Hitkul, Avinash Prabhu, Dipanwita Guhathakurta, Jivitesh Jain, Mallika Subramanian, Manvith Reddy, Shradha Sehgal, Tanvi Karandikar, Amogh Gulati, Udit Arora, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Capitol (Pat)riots: A comparative study of Twitter and Parler. CoRR abs/2101.06914 (2021) - [i55]Sreyan Ghosh, Sonal Kumar, Harsh Jalan, Hemant Yadav, Rajiv Ratn Shah:
Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualised Embeddings. CoRR abs/2101.11422 (2021) - [i54]Shivangi Singhal, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Factorization of Fact-Checks for Low Resource Indian Languages. CoRR abs/2102.11276 (2021) - [i53]Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah:
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations. CoRR abs/2104.08578 (2021) - [i52]Mohit Agrawal, Pragyan Mehrotra, Rajesh Kumar, Rajiv Ratn Shah:
Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks. CoRR abs/2106.07867 (2021) - [i51]Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. CoRR abs/2109.00928 (2021) - [i50]Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen:
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. CoRR abs/2109.11728 (2021) - [i49]Swapnil Parekh, Yaman Kumar Singla, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. CoRR abs/2109.12406 (2021) - [i48]Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah:
Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks. CoRR abs/2110.06507 (2021) - [i47]Mohit Sharma, Raj Patra, Harshal Desai, Shruti Vyas, Yogesh S. Rawat, Rajiv Ratn Shah:
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels. CoRR abs/2110.06827 (2021) - [i46]Sreyan Ghosh, Samden Lepcha, Sakshi Singh, Rajiv Ratn Shah:
Speech Toxicity Analysis: A New Spoken Language Processing Task. CoRR abs/2110.07592 (2021) - [i45]Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black, Rajiv Ratn Shah:
Intent Classification Using Pre-Trained Embeddings For Low Resource Languages. CoRR abs/2110.09264 (2021) - [i44]Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen:
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. CoRR abs/2111.08906 (2021) - [i43]Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah:
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency. CoRR abs/2111.15156 (2021) - [i42]Zaki Mustafa Farooqi, Sreyan Ghosh, Rajiv Ratn Shah:
Leveraging Transformers for Hate Speech Detection in Conversational Code-Mixed Tweets. CoRR abs/2112.09986 (2021) - 2020
- [j11]Amir Hossein Nabizadeh, José Paulo Leal, Hamed Nabizadeh Rafsanjani, Rajiv Ratn Shah:
Learning path personalization and recommendation methods: A survey of the state-of-the-art. Expert Syst. Appl. 159: 113596 (2020) - [j10]Shiv Prakash, Sudhanshu Joshi, Tanvi Bhatia, Sadhna Sharma, Durgesh Samadhiya, Rajiv Ratn Shah, Omprakash Kaiwartya, Mukesh Prasad:
Characteristic of enterprise collaboration system and its implementation issues in business management. Int. J. Bus. Intell. Data Min. 16(1): 49-65 (2020) - [j9]Karanbir Singh Chahal, Manraj Singh Grover, Kuntal Dey, Rajiv Ratn Shah:
A Hitchhiker's Guide On Distributed Training Of Deep Neural Networks. J. Parallel Distributed Comput. 137: 65-76 (2020) - [c108]Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah:
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment. AAAI 2020: 346-353 - [c107]Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. AAAI 2020: 386-393 - [c106]Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition. AAAI 2020: 2645-2652 - [c105]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). AAAI 2020: 13749-13750 - [c104]Anjali Bhavan, Mohit Sharma, Ramit Sawhney, Rajiv Ratn Shah:
Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract). AAAI 2020: 13753-13754 - [c103]Palak Goenka, Mehak Piplani, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract). AAAI 2020: 13797-13798 - [c102]Amit Jindal, Dwaraknath Gnaneshwar, Ramit Sawhney, Rajiv Ratn Shah:
Leveraging BERT with Mixup for Sentence Classification (Student Abstract). AAAI 2020: 13829-13830 - [c101]Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract). AAAI 2020: 13873-13874 - [c100]Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru:
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). AAAI 2020: 13915-13916 - [c99]Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles Using GANs (Student Abstract). AAAI 2020: 13931-13932 - [c98]Sharan Pai, Nikhil Sachdeva, Prince Sachdeva, Rajiv Ratn Shah:
Unsupervised Paraphasia Classification in Aphasic Speech. ACL (student) 2020: 13-19 - [c97]Vishaal Udandarao, Mohit Agrawal, Rajesh Kumar, Rajiv Ratn Shah:
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment. BigMM 2020: 76-85 - [c96]Shahid Nawaz Khan, Maitree Leekha, Jainendra Shukla, Rajiv Ratn Shah:
Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment. BigMM 2020: 103-111 - [c95]Shivam Rustagi, Aakash Garg, Pranay Raj Anand, Rajesh Kumar, Yaman Kumar, Rajiv Ratn Shah:
Touchless Typing Using Head Movement-based Gestures. BigMM 2020: 112-119 - [c94]Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn Shah, Yi Yu:
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability. BigMM 2020: 221-230 - [c93]Dhruv Verma, Kshitij Gulati, Rajiv Ratn Shah:
Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling. BigMM 2020: 251-256 - [c92]Himanshu Singh, Rajiv Ratn Shah:
BOOKiiIT - Designing a Venue Booking System (Technical Demo). BigMM 2020: 287-291 - [c91]Prakhar Goel, Mihir Goyal, Rajiv Ratn Shah:
Arten-Net: An Emotion Classification System for Art (Student Consortium). BigMM 2020: 302-306 - [c90]Hitkul, Omkar Gurjar, Aanshul Sadaria, Kanay Gupta, Shashank Srikanth, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Are Bots Humans? Analysis of Bot Accounts in 2019 Indian Lok Sabha Elections (Workshop Paper). BigMM 2020: 441-450 - [c89]Ramit Sawhney, Akash Kumar Gautam, Rajiv Ratn Shah:
BMGC 2020 Grand Challenge: Multi-Aspect Analysis of the MeToo Movement on Twitter. BigMM 2020: 481-484 - [c88]Ritwik Mishra, Ponnurangam Kumaraguru, Rajiv Ratn Shah, Aanshul Sadaria, Shashank Srikanth, Kanay Gupta, Himanshu Bhatia, Pratik Jain:
Analyzing Traffic Violations through e-challan System in Metropolitan Cities (Workshop Paper). BigMM 2020: 485-493 - [c87]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. COLING 2020: 4847-4859 - [c86]Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
Augmenting NLP models using Latent Feature Interpolations. COLING 2020: 6931-6936 - [c85]Puneet Mathur, Ramit Sawhney, Shivang Chopra, Maitree Leekha, Rajiv Ratn Shah:
Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation. ECIR (2) 2020: 265-271 - [c84]Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann:
Learning Based Methods for Code Runtime Complexity Prediction. ECIR (1) 2020: 313-325 - [c83]Dhruva Sahrawat, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann:
Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings. ECIR (2) 2020: 328-335 - [c82]Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah, Rajesh Kumar Yadav, Dinesh Kumar Vishwakarma:
MEMIS: Multimodal Emergency Management Information System. ECIR (1) 2020: 479-494 - [c81]Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah:
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media. EMNLP (1) 2020: 7685-7697 - [c80]Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Taru Jain, Puneet Mathur, Rajiv Ratn Shah:
VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. EMNLP (1) 2020: 8001-8013 - [c79]Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
A Preliminary Exploration of GANs for Keyphrase Generation. EMNLP (1) 2020: 8021-8030 - [c78]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. EMNLP (1) 2020: 8415-8426 - [c77]Harsh Shrivastava, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Mt-Gcn For Multi-Label Audio Tagging With Noisy Labels. ICASSP 2020: 136-140 - [c76]Puneet Mathur, Mehak Piplani, Ramit Sawhney, Amit Jindal, Rajiv Ratn Shah:
Mixup Multi-Attention Multi-Tasking Model for Early-Stage Leukemia Identification. ICASSP 2020: 1045-1049 - [c75]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. ICDM 2020: 482-491 - [c74]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. ICWSM 2020: 209-216 - [c73]Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
Two-Step Classification using Recasted Data for Low Resource Settings. AACL/IJCNLP 2020: 706-719 - [c72]Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations. INTERSPEECH 2020: 861-865 - [c71]Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain, Rajiv Ratn Shah:
Risk Forecasting from Earnings Calls Acoustics and Network Correlations. INTERSPEECH 2020: 2307-2311 - [c70]Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah:
End-to-End Named Entity Recognition from English Speech. INTERSPEECH 2020: 4268-4272 - [c69]Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Amanda Stent:
An Annotated Dataset of Discourse Modes in Hindi Stories. LREC 2020: 1191-1196 - [c68]Ramit Sawhney, Puneet Mathur, Ayush Mangal, Piyush Khanna, Rajiv Ratn Shah, Roger Zimmermann:
Multimodal Multi-Task Financial Risk Forecasting. ACM Multimedia 2020: 456-465 - [c67]Dhruv Verma, Kshitij Gulati, Vasu Goel, Rajiv Ratn Shah:
Fashionist: Personalising Outfit Recommendation for Cold-Start Scenarios. ACM Multimedia 2020: 4527-4529 - [c66]Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah:
C3VQG: category consistent cyclic visual question generation. MMAsia 2020: 49:1-49:7 - [c65]Anish Bhardwaj, Nikhil Chauhan, Rajiv Ratn Shah:
Synthesized 3D models with smartphone based MR to modify the PreBuilt environment: interior design. MMAsia 2020: 70:1-70:3 - [c64]Aayush Jain, Meet Shah, Suraj Pandey, Mansi Agarwal, Rajiv Ratn Shah, Yifang Yin:
SeekSuspect: retrieving suspects from criminal datasets using visual memory. MMAsia 2020: 71:1-71:3 - [c63]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings. SemEval@COLING 2020: 1678-1684 - [i41]Shivam Rustagi, Aakash Garg, Pranay Raj Anand, Rajesh Kumar, Yaman Kumar, Rajiv Ratn Shah:
Touchless Typing using Head Movement-based Gestures. CoRR abs/2001.09134 (2020) - [i40]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms. CoRR abs/2001.09215 (2020) - [i39]Vishaal Udandarao, Abhishek Maiti, Deepak Srivatsav, Suryatej Reddy Vyalla, Yifang Yin, Rajiv Ratn Shah:
COBRA: Contrastive Bi-Modal Representation Algorithm. CoRR abs/2005.03687 (2020) - [i38]Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah:
C3VQG: Category Consistent Cyclic Visual Question Generation. CoRR abs/2005.07771 (2020) - [i37]Manraj Singh Grover, Yaman Kumar, Sumit Sarin, Payman Vafaee, Mika Hama, Rajiv Ratn Shah:
Multi-modal Automated Speech Scoring using Attention Fusion. CoRR abs/2005.08182 (2020) - [i36]Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah:
End-to-end Named Entity Recognition from English Speech. CoRR abs/2005.11184 (2020) - [i35]Manraj Singh Grover, Pakhi Bamdev, Yaman Kumar, Mika Hama, Rajiv Ratn Shah:
audino: A Modern Annotation Tool for Audio and Speech. CoRR abs/2006.05236 (2020) - [i34]Dhruva Sahrawat, Yaman Kumar, Shashwat Aggarwal, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
"Notic My Speech" - Blending Speech Patterns With Multimedia. CoRR abs/2006.08599 (2020) - [i33]Vishaal Udandarao, Mohit Agrawal, Rajesh Kumar, Rajiv Ratn Shah:
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment. CoRR abs/2006.09501 (2020) - [i32]Yaman Kumar, Mehar Bhatia, Anubha Kabra, Junyi Jessy Li, Di Jin, Rajiv Ratn Shah:
Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing. CoRR abs/2007.06796 (2020) - [i31]Hitkul, Karmanya Aggarwal, Pakhi Bamdev, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Trawling for Trolling: A Dataset. CoRR abs/2008.00525 (2020) - [i30]Dhruv Verma, Kshitij Gulati, Rajiv Ratn Shah:
Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling. CoRR abs/2008.01437 (2020) - [i29]Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn Shah, Yi Yu:
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability. CoRR abs/2008.01780 (2020) - [i28]Shahid Nawaz Khan, Maitree Leekha, Jainendra Shukla, Rajiv Ratn Shah:
Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment. CoRR abs/2008.13769 (2020) - [i27]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings. CoRR abs/2009.02619 (2020) - [i26]Yi Yu, Abhishek Srivastava, Rajiv Ratn Shah:
Conditional Hybrid GAN for Sequence Generation. CoRR abs/2009.08616 (2020) - [i25]Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann, Amanda Stent:
LIFI: Towards Linguistically Informed Frame Interpolation. CoRR abs/2010.16078 (2020) - [i24]Hemant Yadav, Janvijay Singh, Atul Anshuman Singh, Rachit Mittal, Rajiv Ratn Shah:
De-STT: De-entaglement of unwanted Nuisances and Biases in Speech to Text System using Adversarial Forgetting. CoRR abs/2011.12979 (2020) - [i23]Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get It Scored Using AutoSAS - An Automated System for Scoring Short Answers. CoRR abs/2012.11243 (2020) - [i22]Swapnil Parekh, Yaman Kumar Singla, Changyou Chen, Junyi Jessy Li, Rajiv Ratn Shah:
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism. CoRR abs/2012.13872 (2020)
2010 – 2019
- 2019
- [j8]Anjali Bhavan, Pankaj Chauhan, Hitkul, Rajiv Ratn Shah:
Bagged support vector machines for emotion recognition from speech. Knowl. Based Syst. 184 (2019) - [c62]Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann:
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading. AAAI 2019: 2588-2595 - [c61]Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get IT Scored Using AutoSAS - An Automated System for Scoring Short Answers. AAAI 2019: 9662-9669 - [c60]Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. AAAI 2019: 9951-9952 - [c59]Khwaja Mohd. Salik, Swati Aggarwal, Yaman Kumar, Rajiv Ratn Shah, Rohit Jain, Roger Zimmermann:
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading. AAAI 2019: 10023-10024 - [c58]Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah:
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic. ACL (2) 2019: 273-280 - [c57]Anjali Bhavan, Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney, Rajiv Ratn Shah:
Investigating Political Herd Mentality: A Community Sentiment Based Approach. ACL (2) 2019: 281-287 - [c56]Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata:
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media. ACL (1) 2019: 2527-2537 - [c55]Shivangi Singhal, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru, Shin'ichi Satoh:
SpotFake: A Multi-modal Framework for Fake News Detection. BigMM 2019: 39-47 - [c54]Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, Rajiv Ratn Shah:
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions. BigMM 2019: 58-67 - [c53]Sharan Pai, Nikhil Sachdeva, Rajiv Ratn Shah, Roger Zimmermann:
User Input Based Style Transfer While Retaining Facial Attributes. BigMM 2019: 68-76 - [c52]Akash Kumar Gautam, Luv Misra, Ajit Kumar, Kush Misra, Shashwat Aggarwal, Rajiv Ratn Shah:
Multimodal Analysis of Disaster Tweets. BigMM 2019: 94-103 - [c51]Maitree Leekha, Mononito Goswami, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann:
Are You Paying Attention? Detecting Distracted Driving in Real-Time. BigMM 2019: 171-180 - [c50]Ranjodh Singh, Hemant Yadav, Mohit Sharma, Sandeep Gosain, Rajiv Ratn Shah:
Automatic Speech Recognition for Real Time Systems. BigMM 2019: 189-198 - [c49]Ranjodh Singh, Meghna P. Ayyar, Tata Sri Pavan, Sandeep Gosain, Rajiv Ratn Shah:
Automating Car Insurance Claims Using Deep Learning Techniques. BigMM 2019: 199-207 - [c48]Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S. Nath, Viresh Gupta, Manraj Singh Grover, Rajiv Ratn Shah:
Universal EEG Encoder for Learning Diverse Intelligent Tasks. BigMM 2019: 213-218 - [c47]Dhruva Sahrawat, Mohit Agarwal, Sanchit Sinha, Aditya Adhikary, Mansi Agarwal, Rajiv Ratn Shah, Roger Zimmermann:
Video Summarization using Global Attention with Memory Network and LSTM. BigMM 2019: 231-236 - [c46]Himanshu Aggarwal, Rajiv Ratn Shah, Suhua Tang, Feida Zhu:
Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery. BigMM 2019: 321-330 - [c45]Harsh Shrivastava, Rama Krishna P. V. N. S, Karmanya Aggarwal, Meghna P. Ayyar, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Facefetch: An Efficient and Scalable Face Retrieval System That uses Your Visual Memory. BigMM 2019: 338-347 - [c44]Hitkul, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Shin'ichi Satoh:
Maybe Look Closer? Detecting Trolling Prone Images on Instagram. BigMM 2019: 448-456 - [c43]Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu:
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. CIKM 2019: 941-950 - [c42]Ramit Sawhney, Rajiv Ratn Shah, Vedant Bhatia, Chin-Teng Lin, Sagar Aggarwal, Mukesh Prasad:
Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection. FUZZ-IEEE 2019: 1-6 - [c41]Yifang Yin, Zhenguang Liu, Ying Zhang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
GPS2Vec: Towards Generating Worldwide GPS Embeddings. SIGSPATIAL/GIS 2019: 416-419 - [c40]Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn Shah:
Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic. HT 2019: 285-286 - [c39]Shashwat Uttam, Yaman Kumar, Dhruva Sahrawat, Mansi Aggarwal, Rajiv Ratn Shah, Debanjan Mahata, Amanda Stent:
Hush-Hush Speak: Speech Reconstruction Using Silent Videos. INTERSPEECH 2019: 136-140 - [c38]Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Rajiv Ratn Shah, Amanda Stent, Debanjan Mahata, Preeti Kaur, Roger Zimmermann:
MobiVSR : Efficient and Light-Weight Neural Network for Visual Speech Recognition on Mobile Devices. INTERSPEECH 2019: 2753-2757 - [c37]Yifang Yin, Meng-Jiun Chiou, Zhenguang Liu, Harsh Shrivastava, Rajiv Ratn Shah, Roger Zimmermann:
Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging. ACM Multimedia 2019: 1304-1312 - [c36]Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah:
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment. NAACL-HLT (Student Research Workshop) 2019: 136-146 - [c35]Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney, Debanjan Mahata, Puneet Mathur, Rajiv Ratn Shah:
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media. NAACL-HLT (Student Research Workshop) 2019: 147-156 - [c34]Debanjan Mahata, Haimin Zhang, Karan Uppal, Yaman Kumar, Rajiv Ratn Shah, Simra Shahid, Laiba Mehnaz, Sarthak Anand:
MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter. SemEval@NAACL-HLT 2019: 683-690 - [c33]Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit. SemEval@NAACL-HLT 2019: 1213-1217 - [c32]Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz, Yaman Kumar, Rajiv Ratn Shah:
MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter. SMM4H@ACL 2019: 127-132 - [c31]Puneet Mathur, Meghna Ayyar, Rajiv Ratn Shah, Sg Sharma:
Exploring Classification of Histological Disease Biomarkers From Renal Biopsy Images. WACV 2019: 81-90 - [i21]Yaman Kumar, Shubham Maheshwari, Dhruva Sahrawat, Praveen Jhanwar, Vipin Chaudhary, Rajiv Ratn Shah, Debanjan Mahata:
Harnessing GANs for Addition of New Classes in VSR. CoRR abs/1901.10139 (2019) - [i20]Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal:
Identifying Offensive Posts and Targeted Offense from Twitter. CoRR abs/1904.09072 (2019) - [i19]Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
Suggestion Mining from Online Reviews using ULMFiT. CoRR abs/1904.09076 (2019) - [i18]Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Preeti Kaur, Rajiv Ratn Shah, Debanjan Mahata:
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices. CoRR abs/1905.03968 (2019) - [i17]Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Yifang Yin, Roger Zimmermann:
Lipper: Synthesizing Thy Speech using Multi-View Lipreading. CoRR abs/1907.01367 (2019) - [i16]Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles using GANs. CoRR abs/1909.12229 (2019) - [i15]Vedant Bhatia, Prateek Rawat, Ajit Kumar, Rajiv Ratn Shah:
End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT. CoRR abs/1910.03089 (2019) - [i14]Yaman Kumar, Debanjan Mahata, Sagar Aggarwal, Anmol Chugh, Rajat Maheshwari, Rajiv Ratn Shah:
BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories. CoRR abs/1910.04073 (2019) - [i13]Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann:
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings. CoRR abs/1910.08840 (2019) - [i12]Jagriti Sikka, Kushal Satya, Yaman Kumar, Shagun Uppal, Rajiv Ratn Shah, Roger Zimmermann:
Learning based Methods for Code Runtime Complexity Prediction. CoRR abs/1911.01155 (2019) - [i11]Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, Rajiv Ratn Shah:
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions. CoRR abs/1911.11378 (2019) - [i10]Baani Leen Kaur Jolly, Palash Aggrawal, Surabhi S. Nath, Viresh Gupta, Manraj Singh Grover, Rajiv Ratn Shah:
Universal EEG Encoder for Learning Diverse Intelligent Tasks. CoRR abs/1911.12152 (2019) - [i9]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. CoRR abs/1912.06927 (2019) - 2018
- [j7]Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Detecting Personal Intake of Medicine from Twitter. IEEE Intell. Syst. 33(4): 87-95 (2018) - [j6]Omprakash Kaiwartya, Abdul Hanan Abdullah, Yue Cao, Jaime Lloret, Sushil Kumar, Rajiv Ratn Shah, Mukesh Prasad, Shiv Prakash:
Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things. IEEE Internet Things J. 5(2): 571-580 (2018) - [j5]Yifang Yin, Rajiv Ratn Shah, Guanfeng Wang, Roger Zimmermann:
Feature-based Map Matching for Low-Sampling-Rate GPS Trajectories. ACM Trans. Spatial Algorithms Syst. 4(2): 4:1-4:24 (2018) - [j4]Omprakash Kaiwartya, Yue Cao, Jaime Lloret, Sushil Kumar, Nauman Aslam, Rupak Kharel, Abdul Hanan Abdullah, Rajiv Ratn Shah:
Geometry-Based Localization for GPS Outage in Vehicular Cyber Physical Systems. IEEE Trans. Veh. Technol. 67(5): 3800-3812 (2018) - [c30]Puneet Mathur, Ramit Sawhney, Meghna Ayyar, Rajiv Ratn Shah:
Did you offend me? Classification of Offensive Tweets in Hinglish Language. ALW 2018: 138-148 - [c29]Puneet Mathur, Rajiv Ratn Shah, Ramit Sawhney, Debanjan Mahata:
Detecting Offensive Tweets in Hindi-English Code-Switched Language. SocialNLP@ACL 2018: 18-26 - [c28]Sarthak Anand, Rajat Gupta, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Fully Automatic Approach to Identify Factual or Fact-checkable Tweets. FIRE (Working Notes) 2018: 18-23 - [c27]Ayush Gupta, Meghna Ayyar, Ashutosh Kumar Singh, Rajiv Ratn Shah:
raiden11@IECSIL-FIRE-2018 : Named Entity Recognition for Indian Languages. FIRE (Working Notes) 2018: 174-186 - [c26]Deepanshu Gaur, Meghna Ayyar, Ashutosh Kumar Singh, Rajiv Ratn Shah:
Multilingual Author Profiling from SMS. FIRE (Working Notes) 2018: 265-276 - [c25]Aditya Kumar Pathak, Himanshu Choudhary, Rajiv Ratn Shah:
NMT based Tamil Translation. FIRE (Working Notes) 2018: 316-322 - [c24]Meghna Ayyar, Puneet Mathur, Rajiv Ratn Shah, Shree G. Sharma:
Harnessing AI for Kidney Glomeruli Classification. ISM 2018: 17-20 - [c23]Yaman Kumar, Rohit Jain, Khwaja Mohd. Salik, Rajiv Ratn Shah, Roger Zimmermann, Yifang Yin:
MyLipper: A Personalized System for Speech Reconstruction using Multi-view Visual Feeds. ISM 2018: 159-166 - [c22]Yaman Kumar, Agniv Sharma, Abhigyan Khaund, Akash Kumar, Ponnurangam Kumaraguru, Rajiv Ratn Shah, Roger Zimmermann:
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines. ISM 2018: 217-222 - [c21]Debanjan Mahata, Rajiv Ratn Shah, John Kuriakose, Roger Zimmermann, John R. Talburt:
Theme-Weighted Ranking of Keywords from Text Documents Using Phrase Embeddings. MIPR 2018: 184-189 - [c20]Mayank Meghawat, Satyendra Yadav, Debanjan Mahata, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
A Multimodal Approach to Predict Social Media Popularity. MIPR 2018: 190-195 - [c19]Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Learning and Fusing Multimodal Deep Features for Acoustic Scene Categorization. ACM Multimedia 2018: 1892-1900 - [c18]Yaman Kumar, Mayank Aggarwal, Pratham Nawal, Shin'ichi Satoh, Rajiv Ratn Shah, Roger Zimmermann:
Harnessing AI for Speech Reconstruction using Multi-view Silent Video Feed. ACM Multimedia 2018: 1976-1983 - [c17]Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann:
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings. NAACL-HLT (2) 2018: 634-639 - [c16]Ramit Sawhney, Prachi Manchanda, Puneet Mathur, Rajiv Ratn Shah, Raj Singh:
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning. WASSA@EMNLP 2018: 167-175 - [c15]Hitkul Jangid, Shivangi Singhal, Rajiv Ratn Shah, Roger Zimmermann:
Aspect-Based Financial Sentiment Analysis using Deep Learning. WWW (Companion Volume) 2018: 1961-1966 - [i8]Debanjan Mahata, Jasper Friedrichs, Hitkul, Rajiv Ratn Shah:
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter. CoRR abs/1805.06375 (2018) - [i7]Yaman Kumar, Mayank Aggarwal, Pratham Nawal, Shin'ichi Satoh, Rajiv Ratn Shah, Roger Zimmermann:
Speech Reconstitution using Multi-view Silent Videos. CoRR abs/1807.00619 (2018) - [i6]Mayank Meghawat, Satyendra Yadav, Debanjan Mahata, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
A Multimodal Approach to Predict Social Media Popularity. CoRR abs/1807.05959 (2018) - [i5]Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann, John R. Talburt:
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings. CoRR abs/1807.05962 (2018) - [i4]Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang:
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter. CoRR abs/1808.02082 (2018) - [i3]Yaman Kumar, Agniv Sharma, Abhigyan Khaund, Akash Kumar, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines. CoRR abs/1808.05636 (2018) - [i2]Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages. CoRR abs/1809.08652 (2018) - [i1]Nupur Baghel, Yaman Kumar, Paavini Nanda, Rajiv Ratn Shah, Debanjan Mahata, Roger Zimmermann:
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media. CoRR abs/1812.00399 (2018) - 2017
- [j3]Abdul Hanan Abdullah, Mohammad Yazid Bin Idris, Omprakash Kaiwartya, Mukesh Prasad, Rajiv Ratn Shah:
Real traffic-data based evaluation of vehicular traffic environment and state-of-the-art with future issues in location-centric data dissemination for VANETs. Digit. Commun. Networks 3(3): 195-210 (2017) - [j2]Mukesh Prasad, Yu-Ting Liu, Dong-Lin Li, Chin-Teng Lin, Rajiv Ratn Shah, Om Prakash Kaiwartya:
A New Mechanism for Data Visualization with Tsk-Type Preprocessed Collaborative Fuzzy Rule Based System. J. Artif. Intell. Soft Comput. Res. 7(1): 33 (2017) - [c14]Zhenguang Liu, Zepeng Wang, Luming Zhang, Rajiv Ratn Shah, Yingjie Xia, Yi Yang, Xuelong Li:
FastShrinkage: Perceptually-aware Retargeting Toward Mobile Platforms. ACM Multimedia 2017: 501-509 - 2016
- [j1]Rajiv Ratn Shah, Yi Yu, Akshay Verma, Suhua Tang, Anwar Dilawar Shaikh, Roger Zimmermann:
Leveraging multimodal information for event summarization and concept-level sentiment analysis. Knowl. Based Syst. 108: 102-109 (2016) - [c13]Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
A general feature-based map matching framework with trajectory simplification. IWGS@SIGSPATIAL 2016: 7:1-7:10 - [c12]Rajiv Ratn Shah, Anupam Samanta, Deepak Gupta, Yi Yu, Suhua Tang, Roger Zimmermann:
PROMPT: Personalized User Tag Recommendation for Social Media Photos Leveraging Personal and Social Contexts. ISM 2016: 486-492 - [c11]Rajiv Ratn Shah:
Multimodal Analysis of User-Generated Content in Support of Social Media Applications. ICMR 2016: 423-426 - [c10]Rajiv Ratn Shah, Yi Yu, Suhua Tang, Shin'ichi Satoh, Akshay Verma, Roger Zimmermann:
Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting. MMCommons @ ACM Multimedia 2016: 19-26 - [c9]Rajiv Ratn Shah:
Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications. ACM Multimedia 2016: 1425-1429 - [c8]Rajiv Ratn Shah, Mohamed Hefeeda, Roger Zimmermann, Khaled A. Harras, Cheng-Hsin Hsu, Yi Yu:
NEWSMAN: Uploading Videos over Adaptive Middleboxes to News Servers in Weak Network Infrastructures. MMM (1) 2016: 100-113 - 2015
- [c7]Rajiv Ratn Shah, Yi Yu, Anwar Dilawar Shaikh, Roger Zimmermann:
TRACE: Linguistic-Based Approach for Automatic Lecture Video Segmentation Leveraging Wikipedia Texts. ISM 2015: 217-220 - [c6]Rajiv Ratn Shah, Anwar Dilawar Shaikh, Yi Yu, Wenjing Geng, Roger Zimmermann, Gangshan Wu:
EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media. ACM Multimedia 2015: 185-188 - 2014
- [c5]Rajiv Ratn Shah, Yi Yu, Anwar Dilawar Shaikh, Suhua Tang, Roger Zimmermann:
ATLAS: Automatic Temporal Segmentation and Annotation of Lecture Videos Based on Modelling Transition Time. ACM Multimedia 2014: 209-212 - [c4]Rajiv Ratn Shah, Yi Yu, Roger Zimmermann:
ADVISOR: Personalized Video Soundtrack Recommendation by Late Fusion with Heuristic Rankings. ACM Multimedia 2014: 607-616 - [c3]Rajiv Ratn Shah, Yi Yu, Roger Zimmermann:
User preference-aware music video generation based on modeling scene moods. MMSys 2014: 156-159 - 2013
- [c2]Anwar Dilawar Shaikh, Rajiv Ratn Shah, Rahis Shaikh:
SMS based FAQ Retrieval for Hindi, English and Malayalam. FIRE 2013: 9:1-9:8 - 2011
- [c1]Anwar Dilawar Shaikh, Mukul Jain, Mukul Rawat, Rajiv Ratn Shah, Manoj Kumar:
Improving Accuracy of SMS Based FAQ Retrieval System. FIRE 2011: 142-156
Coauthor Index
[j14] [c133] [c131] [c128] [c127] [c124] [c121] [c120] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c105] [c104] [c103] [c102] [c101] [c89] [c87] [c86] [c85] [c82] [c81] [c80] [c78] [c76] [c75] [c74] [c72] [c71] [c68] [i40] [c58] [c57] [c56] [c43] [c42] [c40] [c36] [c35] [i9] [c30] [c29] [c16]
[c183] [c179] [c178] [i88] [j22] [j21] [j20] [c170] [c169] [c159] [c154] [i77] [i73] [i72] [i70] [i69] [i67] [i66] [c149] [c148] [c146] [c145] [c144] [c140] [i65] [i64] [i62] [c129] [c123] [i59] [i58] [i51] [i50] [i49] [i48] [i44] [i43] [c106] [c95] [c84] [c83] [c69] [i41] [i37] [i35] [i34] [i32] [i25] [i23] [i22] [c62] [c61] [c60] [c59] [c39] [c38] [c34] [c33] [c32] [i21] [i20] [i19] [i18] [i17] [i14] [i13] [i12] [c23] [c22] [c18] [i7] [i3] [i2] [i1]
[c181] [c176] [c175] [c174] [c173] [i91] [j15] [c132] [c123] [c119] [i59] [c106] [c84] [c83] [c77] [c68] [i34] [i25] [i23] [c62] [c61] [c60] [c59] [c53] [c51] [c47] [c45] [c41] [c38] [c37] [i17] [i13] [i12] [j5] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c15] [i7] [i6] [i5] [i2] [i1] [j1] [c13] [c12] [c10] [c8] [c7] [c6] [c5] [c4] [c3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
