Pengi: An audio language model for audio tasks

S Deshmukh, B Elizalde, R Singh… - Advances in Neural …, 2023 - proceedings.neurips.cc
In the domain of audio processing, Transfer Learning has facilitated the rise of Self-
Supervised Learning and Zero-Shot Learning techniques. These approaches have led to …

[PDF][PDF] Machine learning methods for toxic comment classification: a systematic review

D Androcec - Acta Universitatis Sapientiae, Informatica, 2020 - intapi.sciendo.com
Nowadays users leave numerous comments on different social networks, news portals, and
forums. Some of the comments are toxic or abusive. Due to numbers of comments, it is …

Soft computing for abuse detection using cyber‐physical and social big data in cognitive smart cities

SR Sangwan, MPS Bhatia - Expert Systems, 2022 - Wiley Online Library
The internet of things (IoT) and the smart city crusade has seen an exponential increase in
the number of data points we collect. Cities can use this data for an exceedingly …

Primary Prediction of Heart Disease using Machine Learning Algorithms and SMOTE

MA Bouqentar, O Terrada, D Lamrani… - … Research in Applied …, 2023 - ieeexplore.ieee.org
The cardiovascular disease is one of the largest field where Artificial Intelligence and
Machine Learning tools can be used to help in early prediction and diagnosis. As the first …

Detection and classification of toxic comments by using LSTM and bi-LSTM approach

A Gupta, A Nayyar, S Arora, R Jain - International conference on …, 2020 - Springer
With the advancement in the technology, a lot of comments has been produced on a regular
basis through the various online communication platforms like Wikipedia, twitter, Glassdoor …

A profound method for three-tier toxic word classification using lstm-rnn

Y Devtulla, S Baroniya, R Raj… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
Text classification is the activity of labeling natural language texts with relevant categories
from a predefined set. In the research work, The words are categorized from a sentence …

Comparative analysis of deep learning techniques to detect online public shaming

M Surani, R Mangrulkar - ITM web of conferences, 2021 - itm-conferences.org
Over the past years the exponential growth of social media usage has given the power to
every individual to share their opinions freely. This has led to numerous threats allowing …

A Systematic Review of Toxicity in Large Language Models: Definitions, Datasets, Detectors, Detoxification Methods and Challenges

G Villate-Castillo, JDS Lorente, BS Urquijo - 2024 - researchsquare.com
The emergence of the transformer architecture has ushered in a new era of possibilities,
showcasing remarkable capabilities in generative tasks exemplified by models like GPT4o …

Detecting conversational toxicity using neural networks

A Mehta, S Mehta - Proceedings of the International Conference on …, 2020 - papers.ssrn.com
Along with providing a platform for users to express their views freely and connect to the
masses, it also becomes a place for hateful behavior and cyber bullying. This negativity …

[引用][C] Online public shaming approach using deep learning techniques

M Surani, R Mangrulkar - Journal of University of Shanghai for Science and …, 2021