Responsible AI pattern catalogue: A collection of best practices for AI governance and engineering

Q Lu, L Zhu, X Xu, J Whittle, D Zowghi… - ACM Computing …, 2024 - dl.acm.org
Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …

[HTML][HTML] GeoNLU: Bridging the gap between natural language and spatial data infrastructures

P Naveen, R Maheswar, P Trojovský - Alexandria Engineering Journal, 2024 - Elsevier
Integrating natural language processing (NLP) techniques with spatial data infrastructures
(SDIs) potentially revolutionize the way users interact with geospatial data. This article …

[PDF][PDF] Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering

Q Lu, L Zhu, X Xu, J Whittle, D Zowghi… - arXiv preprint arXiv …, 2022 - researchgate.net
Responsible AI has been widely considered as one of the greatest scientific challenges of
our time and the key to increase the adoption of AI. A number of AI ethics principles …

Investigating transformer-based models for automated e-governance in Indian Railway using Twitter

S Agarwal, A Kumar, R Ganguly - Multimedia Tools and Applications, 2024 - Springer
Recently, Twitter has been used as a citizen-engaging platform by Indian Railway Ministry
(IRM) for collecting civic issues. However, due to the manual inspection model, a large …

Towards ML Models' Recommendations: Towards ML Models' Recommendations: L. Kallab et al.

L Kallab, E Mansour, R Chbeir - Data Science & Engineering, 2024 - search.ebscohost.com
Artificial Intelligence encompasses a range of technologies that replicate human-like
cognitive abilities through computer systems, enabling the execution of tasks associated …

Towards ML Models' Recommendations

L Kallab, E Mansour, R Chbeir - Data Science and Engineering, 2024 - Springer
Artificial Intelligence encompasses a range of technologies that replicate human-like
cognitive abilities through computer systems, enabling the execution of tasks associated …

Ontology-Boosted Deep Learning for Multi-Label Classification of Arabic Abusive Messages on Social Networks

SA Azzi, CBO Zribi - Procedia Computer Science, 2024 - Elsevier
With the interconnection of today's world and the exponential growth of users' generated
data on social network, an unprecedented propagation of abusive content has emerged …

SML: Semantic Machine Learning Model Ontology

L Kallab, E Mansour, R Chbeir - International Conference on Web …, 2023 - Springer
Artificial Intelligence is a set of technologies that simulate human-like cognition, using
computer software and systems, to perform tasks associated with intelligent beings. One …

An Adaptive and Scalable Ontology for Explainable Deep Classifier in Disease Surveillance

KB Jillahi, A Iorliam, GM Mwajim, S Anas - 2024 - digitallibrary.aun.edu.ng
This research aims to improve explainability of predictions in disease surveillance by
leveraging an ontology-based model. A Markov Decision Process (MDP) and a Q-Learning …

[图书][B] An Analysis of Substance Use Related Lyrics in Twitter Space

WW Luo - 2022 - search.proquest.com
Drug epidemics have been a major problem in the United States for decades. As of August
2022, recreational marijuana can be legally purchased in 19 states in the US and medical …