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2020 IEEE Region 10 Symposium (TENSYMP), 2020
In this paper, we study the usability of nighttime lights as an economic proxy to monitor factors related to sustainable development in Bangladesh.
Recommended citation: Wahed, M., Rizvee, R. A., Haque, R. R., Ali, A. M., Zaber, M., & Ali, A. A. (2020, June). What Can Nighttime Lights Tell Us about Bangladesh?. In 2020 IEEE Region 10 Symposium (TENSYMP) (pp. 1612-1615). IEEE. https://ieeexplore.ieee.org/abstract/document/9230806
arXiv preprint, 2020
In this paper, we used Causal Inference methodologies and NLP (text extraction, topic modeling) on a novel dataset (273000 peer-reviewed articles from 63 top CS conferences) to examine the top knowledge-producing organizations in AI. Media Coverages: VentureBeat, Scientific American, Axios, Marginal Revolution Cited by: National Security Commission on Artificial Intelligence, Stanford AI Index-2021
Recommended citation: Ahmed, N., & Wahed, M. (2020). The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research. arXiv preprint arXiv:2010.15581. https://arxiv.org/abs/2010.15581
Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), 2021
In this paper, we use bit-vector document representation for corpus expansion, resulting in a reduction of memory footprint by 24%, retrieval of 6.8% more rare terms, and a reduction of query execution time by 78%.
Recommended citation: Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad Deluca, Steve Welch, and Ismini Lourentzou. 2021. SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21), November 1–5, 2021, Virtual Event, QLD, Australia. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3459637.3481950 https://arxiv.org/abs/2108.11948
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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