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ORCIDArjun Choudhry
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Journal Articles
- 2024
[j5]Arjun Choudhry
, Inder Khatri, Minni Jain, Dinesh Kumar Vishwakarma:
An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning. IEEE Trans. Comput. Soc. Syst. 11(1): 588-599 (2024)- 2023
- [j4]Anmol Bansal, Arjun Choudhry, Anubhav Sharma, Seba Susan:
Adaptation of Domain-Specific Transformer Models with Text Oversampling for Sentiment Analysis of Social Media Posts on CoViD-19 vaccine. Comput. Sci. 24(2) (2023) - [j3]Inder Khatri, Arjun Choudhry, Aryaman Rao, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm. Appl. Soft Comput. 149(Part B): 111037 (2023) - [j2]Aaryan Gupta, Inder Khatri, Arjun Choudhry, Sanjay Kumar:
MCD: A modified community diversity approach for detecting influential nodes in social networks. J. Intell. Inf. Syst. 61(2): 473-495 (2023) - 2021
- [j1]Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist:
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. IEEE Trans. Vis. Comput. Graph. 27(2): 1332-1342 (2021)
Conference and Workshop Papers
- 2024
- [c13]Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski:
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). AAAI 2024: 23447-23448 - [c12]Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski:
MOMENT: A Family of Open Time-series Foundation Models. ICML 2024 - 2023
- [c11]Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad:
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). AAAI 2023: 16178-16179 - [c10]Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). AAAI 2023: 16196-16197 - [c9]Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). AAAI 2023: 16240-16241 - [c8]Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Adversarial Adaptation for French Named Entity Recognition. ECIR (2) 2023: 386-395 - [c7]Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski:
AQuA: A Benchmarking Tool for Label Quality Assessment. NeurIPS 2023 - 2022
- [c6]Arjun Choudhry, Inder Khatri, Minni Jain:
An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract). AAAI 2022: 12929-12930 - [c5]Anubhav Sharma, Seba Susan, Anmol Bansal, Arjun Choudhry:
Dynamic Topic Modeling of Covid-19 Vaccine-Related Tweets. DSDE 2022: 79-84 - [c4]Arjun Choudhry, Seba Susan, Anmol Bansal, Anubhav Sharma:
TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling. FLAIRS 2022 - [c3]Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. ICON 2022: 75-79 - [c2]Anmol Bansal, Seba Susan, Arjun Choudhry, Anubhav Sharma:
Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet. ICPRAI (2) 2022: 443-454 - 2019
- [c1]Arjun Choudhry, Ikechukwu Dimobi, Zachary M. Isaac Gould:
Blockchain Driven Platform for Energy Distribution in a Microgrid. DPM/CBT@ESORICS 2019: 271-288
Informal and Other Publications
- 2024
- [i14]Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski:
MOMENT: A Family of Open Time-series Foundation Models. CoRR abs/2402.03885 (2024) - [i13]Yifu Cai, Arjun Choudhry, Mononito Goswami, Artur Dubrawski:
TimeSeriesExam: A time series understanding exam. CoRR abs/2410.14752 (2024) - 2023
- [i12]Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Adversarial Adaptation for French Named Entity Recognition. CoRR abs/2301.05220 (2023) - [i11]Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski:
AQuA: A Benchmarking Tool for Label Quality Assessment. CoRR abs/2306.09467 (2023) - 2022
- [i10]Anmol Bansal, Arjun Choudhry, Anubhav Sharma, Seba Susan:
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines. CoRR abs/2209.10966 (2022) - [i9]Aaryan Gupta, Inder Khatri, Arjun Choudhry, Pranav Chandhok, Dinesh Kumar Vishwakarma, Mukesh Prasad:
A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes. CoRR abs/2211.09657 (2022) - [i8]Inder Khatri, Arjun Choudhry, Aryaman Rao, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy. CoRR abs/2211.09683 (2022) - [i7]Arjun Choudhry, Inder Khatri, Minni Jain, Dinesh Kumar Vishwakarma:
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning. CoRR abs/2211.12374 (2022) - [i6]Aaryan Gupta, Inder Khatri, Arjun Choudhry, Sanjay Kumar:
MCD: A Modified Community Diversity Approach for Detecting Influential Nodes in Social Networks. CoRR abs/2211.12385 (2022) - [i5]Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. CoRR abs/2211.13718 (2022) - [i4]Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad:
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning. CoRR abs/2211.17108 (2022) - [i3]Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad:
CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization. CoRR abs/2211.17200 (2022) - [i2]Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. CoRR abs/2212.03692 (2022) - 2020
- [i1]Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist:
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. CoRR abs/2009.02649 (2020)
Coauthor Index
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