Making AI explainable in the global south: A systematic review

CT Okolo, N Dell, A Vashistha - Proceedings of the 5th ACM SIGCAS …, 2022 - dl.acm.org
Artificial intelligence (AI) and machine learning (ML) are quickly becoming pervasive in ways
that impact the lives of all humans across the globe. In an effort to make otherwise” black …

Incorporating FAT and privacy aware AI modeling approaches into business decision making frameworks

D Zhdanov, S Bhattacharjee, MA Bragin - Decision Support Systems, 2022 - Elsevier
We present a formal approach to build and evaluate AI systems that include principles of
Fairness, Accountability and Transparency (FAT), which are extremely important in various …

Progress in recommender systems research: Crisis? What crisis?

P Cremonesi, D Jannach - AI Magazine, 2021 - ojs.aaai.org
Scholars in algorithmic recommender systems research have developed a largely
standardized scientific method, where progress is claimed by showing that a new algorithm …

[HTML][HTML] TEM virus images: Benchmark dataset and deep learning classification

DJ Matuszewski, IM Sintorn - Computer Methods and Programs in …, 2021 - Elsevier
Abstract Background and Objective To achieve the full potential of deep learning (DL)
models, such as understanding the interplay between model (size), training strategy, and …

Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education

M Tan, H Lee, D Wang, H Subramonyam - Proceedings of the ACM on …, 2024 - dl.acm.org
Despite the promises of ML in education, its adoption in the classroom has surfaced
numerous issues regarding fairness, accountability, and transparency, as well as concerns …

[PDF][PDF] Auction algorithm: peer-to-peer system based on hybrid technologies for smallholder farmers to control demand and supply

M Srikanth, RNVJ Mohan, MC Naik - International Journal of …, 2023 - researchgate.net
The demand for agricultural goods could be affected by variables such as population growth
and consumer tastes. Environmental and zoonotic risks jeopardise crop yields as well as the …

[PDF][PDF] Blockchain-Based Crop Farming Application Using Peer-to-Peer

M Srikanth, RNVJ Mohan, MC Naik - Journal of **dian University, 2022 - researchgate.net
In the realms of information technology and electronic business facilitation, Blockchain
technology is one of the most widely discussed topics. Agriculture is a well-known and well …

[PDF][PDF] Small holders farming predictive analysis using peer-to-peer approach

M Srikanth, RNVJ Mohan, MC Naik - International Journal of …, 2022 - researchgate.net
Farmers cultivating crops without permission from agriculture centres and farmers might
choose some crops to Grow without complete knowledge of climatic and soil conditions …

Toward scalable artificial intelligence in finance

JLC Sanz, Y Zhu - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Innovation in Artificial Intelligence (AI) continues to produce a wealth of techniques, mostly
coming from the inductive form of AI also known as Machine Learning (ML). The majority of …

How many private data are needed for deep learning in lung nodule detection on CT scans? A retrospective multicenter study

JW Son, JY Hong, Y Kim, WJ Kim, DY Shin, HS Choi… - Cancers, 2022 - mdpi.com
Simple Summary The early detection of lung nodules is important for patient treatment and
follow-up. Many researchers are investigating deep-learning-based lung nodule detection to …