Surendrabikram Thapa
Orcid: 0000-0003-4119-8239
According to our database1,
Surendrabikram Thapa
authored at least 33 papers
between 2020 and 2024.
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Bibliography
2024
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.
Soc. Netw. Anal. Min., December, 2024
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.
Neurocomputing, 2024
Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models.
CoRR, 2024
Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
A Concise Report of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
Large Language Model-based Pipeline for Item Difficulty and Response Time Estimation for Educational Assessments.
Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024
2023
Neural Networks, July, 2023
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report.
CoRR, 2023
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines.
CoRR, 2023
Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse.
IEEE Access, 2023
LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023
DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023
KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
GAN-based Deidentification of Drivers' Face Videos: An Assessment of Human Factors Implications in NDS Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos using an Attention Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
2022
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., 2022
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
2021
A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript.
Proceedings of the Neural Information Processing - 27th International Conference, 2020