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Surendrabikram Thapa

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2020 – today

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2024
[j5]
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Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain:
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing 592: 127736 (2024)
[j4]
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Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim:
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. Soc. Netw. Anal. Min. 14(1): 9 (2024)
[c26]
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Hariram Veeramani, Surendrabikram Thapa, Natarajan Balaji Shankar, Abeer Alwan:
Large Language Model-based Pipeline for Item Difficulty and Response Time Estimation for Educational Assessments. BEA 2024: 561-566
[c25]
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Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Hariram Veeramani, Raghav Jain, Sandesh Jain, Francielle Vargas, Ali Hürriyetoglu, Usman Naseem:
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024. CASE 2024: 221-228
[c24]
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Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Shuvam Shiwakoti, Hariram Veeramani, Raghav Jain, Guneet Singh Kohli, Ali Hürriyetoglu, Usman Naseem:
Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024. CASE 2024: 234-247
[c23]
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Ali Hürriyetoglu, Surendrabikram Thapa, Gökçe Uludogan, Somaiyeh Dehghan, Hristo Tanev:
A Concise Report of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. CASE 2024: 248-255
[c22]
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  - conf/coling/ShiwakotiTRSBN24
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Shuvam Shiwakoti, Surendrabikram Thapa, Kritesh Rauniyar, Akshyat Shah, Aashish Bhandari, Usman Naseem:
Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification. LREC/COLING 2024: 984-994
[c21]
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  - conf/ivs/JainTCAS24
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Sandesh Jain, Surendrabikram Thapa, Kuan-Ting Chen, A. Lynn Abbott, Abhijit Sarkar:
Semantic Understanding of Traffic Scenes with Large Vision Language Models. IV 2024: 1580-1587
[c20]
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  - conf/wise/ThapaRVSRN24
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Surendrabikram Thapa, Kritesh Rauniyar, Hariram Veeramani, Aditya Shah, Imran Razzak, Usman Naseem:
Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification. WISE (5) 2024: 391-405
[c19]
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Surendrabikram Thapa, Usman Naseem, Roy Ka-Wei Lee, Mehwish Nasim:
Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). WWW (Companion Volume) 2024: 1803-1804
[c18]
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Surendrabikram Thapa, Farhan Ahmad Jafri, Kritesh Rauniyar, Mehwish Nasim, Usman Naseem:
RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis. WWW (Companion Volume) 2024: 1854-1863
[e1]
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Ali Hürriyetoglu, Hristo Tanev, Surendrabikram Thapa, Gökçe Uludogan:
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, CASE 2024, St. Julians, Malta, March 22, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-070-7 [contents]
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  - journals/corr/abs-2402-10772
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Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models. CoRR abs/2402.10772 (2024)
2023
[j3]
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  - journals/access/RauniyarPSTRKIN23
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Kritesh Rauniyar, Sweta Poudel, Shuvam Shiwakoti, Surendrabikram Thapa, Junaid Rashid, Jungeun Kim, Muhammad Imran, Usman Naseem:
Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse. IEEE Access 11: 143092-143115 (2023)
[j2]
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  - journals/nn/AdhikariTNLBP23
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Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Hai Ya Lu, Gnana Bharathy, Mukesh Prasad:
Explainable hybrid word representations for sentiment analysis of financial news. Neural Networks 164: 115-123 (2023)
[c17]
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Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim:
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease. ClinicalNLP@ACL 2023: 24-30
[c16]
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Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim:
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. ClinicalNLP@ACL 2023: 272-277
[c15]
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  - conf/cvpr/BhandariSTNN23
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Aashish Bhandari, Siddhant Bikram Shah, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim:
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict. CVPR Workshops 2023: 1994-2003
[c14]
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Fulan Li, Surendrabikram Thapa, Shreyas Bhat, Abhijit Sarkar, A. Lynn Abbott:
A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos. CVPR Workshops 2023: 5965-5974
[c13]
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  - conf/cvpr/DeshpandeTSA23
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Yogesh Deshpande, Surendrabikram Thapa, Abhijit Sarkar, A. Lynn Abbott:
Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos using an Attention Network. CVPR Workshops 2023: 5975-5984
[c12]
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  - conf/ecai/ThapaRSPNN23
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Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Usman Naseem, Mehwish Nasim:
NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. ECAI 2023: 2346-2353
[c11]
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  - conf/icdm/VeeramaniTN23
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Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
Temporally Dynamic Session-Keyword Aware Sequential Recommendation System. ICDM (Workshops) 2023: 157-164
[c10]
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Surendrabikram Thapa, Abhijit Sarkar:
GAN-based Deidentification of Drivers' Face Videos: An Assessment of Human Factors Implications in NDS Data. IV 2023: 1-6
[c9]
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  - conf/sigir/NaseemTZHN23
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Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim:
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. SIGIR 2023: 2164-2168
[c8]
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  - conf/sustainlp/ShahTJH23
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Aditya Shah, Surendrabikram Thapa, Aneesh Jain, Lifu Huang:
ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models. SustaiNLP 2023: 121-128
[c7]
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Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment. ArabicNLP 2023: 519-524
[c6]
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Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic. ArabicNLP 2023: 614-619
[c5]
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Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic. ArabicNLP 2023: 708-713
[i3]
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  - journals/corr/abs-2306-02374
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Surendrabikram Thapa, Abhijit Sarkar:
GAN-based Deidentification of Drivers' Face Videos: An Assessment of Human Factors Implications in NDS Data. CoRR abs/2306.02374 (2023)
[i2]
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  - journals/corr/abs-2306-14764
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Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem, Imran Razzak:
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines. CoRR abs/2306.14764 (2023)
[i1]
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  - journals/corr/abs-2312-01244
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Ali Hürriyetoglu, Hristo Tanev, Osman Mutlu, Surendrabikram Thapa, Fiona Anting Tan, Erdem Yörük:
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report. CoRR abs/2312.01244 (2023)
2022
[j1]
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  - journals/ijmms/AdhikariTNSHBP22
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Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Priyanka Singh, Huan Huo, Gnana Bharathy, Mukesh Prasad:
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques. Int. J. Hum. Comput. Stud. 160: 102761 (2022)
[c4]
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  - conf/case-ws/ThapaSJNR22
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Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, Imran Razzak:
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. CASE@EMNLP 2022: 1-6
2021
[c3]
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  - conf/ijcnn/AdhikariTSHBP21
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Surabhi Adhikari, Surendrabikram Thapa, Priyanka Singh, Huan Huo, Gnana Bharathy, Mukesh Prasad:
A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease. IJCNN 2021: 1-8
2020
[c2]
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  - conf/iconip/ThapaANSBP20
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Surendrabikram Thapa, Surabhi Adhikari, Usman Naseem, Priyanka Singh, Gnana Bharathy, Mukesh Prasad:
Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript. ICONIP (4) 2020: 176-184
[c1]
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Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad:
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. IJCNN 2020: 1-8

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