Krishanu Maity

Orcid: 0000-0002-9542-9250

According to our database1, Krishanu Maity authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language.
IEEE Trans. Comput. Soc. Syst., October, 2024

Explainable Cyberbullying Detection in Hinglish: A Generative Approach.
IEEE Trans. Comput. Soc. Syst., June, 2024

MTBullyGNN: A Graph Neural Network-Based Multitask Framework for Cyberbullying Detection.
IEEE Trans. Comput. Soc. Syst., February, 2024

ToxVidLLM: A Multimodal LLM-based Framework for Toxicity Detection in Code-Mixed Videos.
CoRR, 2024

Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

NanoBERT: An Extremely Compact Language Model.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

ToxVI: a Multimodal LLM-based Framework for Generating Intervention in Toxic Code-Mixed Videos.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish.
IEEE Trans. Comput. Soc. Syst., October, 2023

A Deep Learning Framework for the Detection of Malay Hate Speech.
IEEE Access, 2023

Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?
Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

"Explain Thyself Bully": Sentiment Aided Cyberbullying Detection with Explanation.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
A Multitask Multimodal Framework for Sentiment and Emotion-Aided Cyberbullying Detection.
IEEE Internet Comput., 2022

A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cyberbullying Detection in Code-Mixed Languages: Dataset and Techniques.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages.
Proceedings of the Natural Language Processing and Information Systems, 2021

A Multi-task Model for Sentiment Aided Cyberbullying Detection in Code-Mixed Indian Languages.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Attention Based BERT-FastText Model for Hate Speech and Offensive Content Identification in English and Hindi Languages.
Proceedings of the Working Notes of FIRE 2021, 2021

2020
<i>Fault Matters</i>: Sensor data fusion for detection of faults using Dempster-Shafer theory of evidence in IoT-based applications.
Expert Syst. Appl., 2020

2019
Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications.
CoRR, 2019

Non-Parametric Learning Technique for Activity Recognition in Elderly Patients.
Proceedings of the TENCON 2019, 2019


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