Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Bashar, Md Abul"'
Autor:
Bashar, Md Abul, Nayak, Richi
Anomaly detection in time series data, to identify points that deviate from normal behaviour, is a common problem in various domains such as manufacturing, medical imaging, and cybersecurity. Recently, Generative Adversarial Networks (GANs) are shown
Externí odkaz:
http://arxiv.org/abs/2308.06663
Publikováno v:
Social Science Computer Review (2023)
Among the pressing issues facing Australian and other First Nations peoples is the repatriation of the bodily remains of their ancestors, which are currently held in Western scientific institutions. The success of securing the return of these remains
Externí odkaz:
http://arxiv.org/abs/2303.14475
Publikováno v:
In Neural Networks November 2024 179
To create a more inclusive workplace, enterprises are actively investing in identifying and eliminating unconscious bias (e.g., gender, race, age, disability, elitism and religion) across their various functions. We propose a deep learning model with
Externí odkaz:
http://arxiv.org/abs/2110.15728
Autor:
Shahriar, Fahim, Bashar, Md Abul
Newspapers are trustworthy media where people get the most reliable and credible information compared with other sources. On the other hand, social media often spread rumors and misleading news to get more traffic and attention. Careful characterizat
Externí odkaz:
http://arxiv.org/abs/2101.09667
Social media platforms facilitate mankind a data-driven world by enabling billions of people to share their thoughts and activities ubiquitously. This huge collection of data, if analysed properly, can provide useful insights into people's behavior.
Externí odkaz:
http://arxiv.org/abs/2009.09253
Predicting a customer's propensity-to-pay at an early point in the revenue cycle can provide organisations many opportunities to improve the customer experience, reduce hardship and reduce the risk of impaired cash flow and occurrence of bad debt. Wi
Externí odkaz:
http://arxiv.org/abs/2008.12065
When people notice something unusual, they discuss it on social media. They leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give insights on loc
Externí odkaz:
http://arxiv.org/abs/2008.12435
Publikováno v:
Australasian Conference on Data Mining. Springer. 3--16, 2018
Online abuse directed towards women on the social media platform Twitter has attracted considerable attention in recent years. An automated method to effectively identify misogynistic abuse could improve our understanding of the patterns, driving fac
Externí odkaz:
http://arxiv.org/abs/2008.12452
Autor:
Bashar, Md Abul, Nayak, Richi
Publikováno v:
CEUR Workshop Proceedings. Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation. Vol. 2517. Sun SITE Central Europe, Germany, pp. 237-245
We describe our top-team solution to Task 1 for Hindi in the HASOC contest organised by FIRE 2019. The task is to identify hate speech and offensive language in Hindi. More specifically, it is a binary classification problem where a system is require
Externí odkaz:
http://arxiv.org/abs/2008.12448