Reference Resolution Results

23 parsed citation rows · resolution stage only
status source_raw source_type url failure_reason agent_assessment
resolved Brynjolfsson, E. & McAfee, A. (2017). The Business of Artificial Intelligence. https://hbr.org/2017/07/the-business-of-artificial-intelligence academic
unresolved Burman, A., & Sewpersadh, K. (2022). 'Legal Frameworks for AI in South Africa: Balancing Innovation and Accountability.' South African Journal of Philosophy, 41(2), 207-217. academic No academic results found for: Burman, A., & Sewpersadh, K. (2022). 'Legal Frameworks for AI in South Africa: Balancing Innovation and Accountability.' South African Journal of Philosophy, 41(2), 207-217. Unable to locate document. The citation may be incomplete or ambiguous.
unresolved Cavaliere, F., McGregor, R., & Hersh, M. (2022). 'Artificial Intelligence and Ethics in Emerging Economies: The Case of South Africa.' AI & Society, 37(4), 565-583. academic No academic results found for: Cavaliere, F., McGregor, R., & Hersh, M. (2022). 'Artificial Intelligence and Ethics in Emerging Economies: The Case of South Africa.' AI & Society, 37(4), 565-583. Unable to locate a freely accessible full-text version of Cavaliere, F., McGregor, R., & Hersh, M. (2022). 'Artificial Intelligence and Ethics in Emerging Economies: The Case of South Africa.' AI & Society, 37(4), 565-583. The article is likely paywalled or not indexed in openly...
resolved Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine Learning and Deep Learning. Electronic Markets, 31. https://doi.org/10.1007/s12525-021-00475-2 academic doi.org/10.1007/s12525-021-00475-2
resolved Jayanth, A. B., Harish, R. D. S., & Binoy, N. (2017). Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study. 254-263. https://doi.org/10.1007/978-3-319-57264-2_26 academic doi.org/10.1007/978-3-319-57264-2_26
unresolved Karr, V., & Smith, L. (2023). 'Digital Rights and AI Governance in Africa: A Focus on Ethical and Legal Challenges.' Journal of African Law, 67(1), 95-108. academic No academic results found for: Karr, V., & Smith, L. (2023). 'Digital Rights and AI Governance in Africa: A Focus on Ethical and Legal Challenges.' Journal of African Law, 67(1), 95-108. Unable to locate document. The citation may be incomplete or ambiguous.
resolved Kostin, K. B. (2018). Foresight of the Global Digital Trends. Strategic Management, 23(1), 11-19. https://doi.org/10.5937/StraMan1801011K academic doi.org/10.5937/StraMan1801011K
resolved LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521, 436-444. https://doi.org/10.1038/nature14539 academic www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf
resolved Leijnen, S., & van Veen, F. (2020). The Neural Network Zoo. Proceedings 2020, 47(1), 9. https://doi.org/10.3390/proceedings2020047009 academic doi.org/10.3390/proceedings2020047009
resolved Madani, A., Arnaout, R., Mofrad, M., et al. (2018). Fast and Accurate View Classification of Echocardiograms Using Deep Learning. Digital Medicine, 1(6). https://doi.org/10.1038/s41746-017-0013-1 academic doi.org/10.1038/s41746-017-0013-1
resolved Manyika, J., Chui, M., Bisson, P., Merimadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A Future that Works: Automation, Employment, and Productivity. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/digital-disruption/harnessing-automation-for-a-future-that-works academic www.mckinsey.com/~/media/mckinsey/featured%20insights/digital%20disruption/harnessing%20automation%20for%20a%20future%20that%20works/mgi-a-future-that-works-full-report-updated.pdf
resolved Mohammad, S. M. (2020). Artificial Intelligence in Information Technology. International Journal of Innovations in Engineering Research and Technology [IJIERT], 7(6). ISSN: 2394-3696. academic repo.ijiert.org/index.php/ijiert/article/view/373/350
resolved Naidoo, K. (2020). Innovation, Digital Platform Technologies and Employment: An Overview of Key Issues and Emerging Trends in South Africa. SCIS Working Paper | Number 9. https://wiredspace.wits.ac.za/server/api/core/bitstreams/3261074e-310b-4913-ab88-48e8fb213712/content academic wiredspace.wits.ac.za/server/api/core/bitstreams/3261074e-310b-4913-ab88-48e8fb213712/content
resolved Pretorius, D., Ongeso, J. P., Franklyn, C., & Valodia, A. (2024). 'Deep Dive into South Africa’s AI Policy Framework.' IT-Online. news it-online.co.za/2024/08/26/deep-dive-into-sas-artificial-intelligence-policy-framework/ The cited article was successfully located on IT-Online with the title 'Deep dive into SA's Artificial Intelligence Policy Framework' published on August 26, 2024. The same content was also published by the authors' law firm, Bowmans, and syndicated to TechCentral under slightly...
resolved Rudin, C. (2019). Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead. Nature Machine Intelligence, 1, 206-215. https://doi.org/10.1038/s42256-019-0048-x academic doi.org/10.1038/s42256-019-0048-x
resolved Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Third Edition. Prentice Hall Series. academic dpvipracollege.ac.in/wp-content/uploads/2023/01/Artificial-Intelligence-A-Modern-Approach-3rd-Edition.pdf
unresolved Smith, M., & Mahomed, R. (2021). 'The Impact of AI on Social Justice in South Africa.' Journal of Ethics and Social Philosophy, 18(3), 313-329. academic No academic results found for this reference Unable to locate document. The citation may be incomplete or ambiguous.
web-found Shrestha, P. (2021). Application of Machine Learning and Deep Learning Techniques for Nepal Stock Market Price Prediction. https://doi.org/10.13140/RG.2.2.11794.38085 https://www.researchgate.net/publication/353634645_Application_of_Machine_Learning_and_Deep_Learning_Techniques_for_Nepal_stock_market_price_prediction/citation/download academic Found 1 candidates but could not ingest any Document found at ResearchGate but requires subscription/institutional access.
resolved World Bank. (2023). Artificial Intelligence in the Public Sector. https://documents1.worldbank.org/curated/en/746721616045333426/pdf/Artificial-Intelligence-in-the-Public-Sector-Summary-Note.pdf other documents1.worldbank.org/curated/en/746721616045333426/pdf/Artificial-Intelligence-in-the-Public-Sector-Summary-Note.pdf
resolved Zhang, L., Wang, S., & Liu, B. (2018). Deep Learning for Sentiment Analysis: A Survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8. https://doi.org/10.1002/widm.1253 https://www.researchgate.net/publication/322694910_Deep_Learning_for_Sentiment_Analysis_A_Survey academic arxiv.org/pdf/1801.07883.pdf