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Dive into the research topics where Mohammad Amin Sadeghi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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QCRI-CORE-000005: Small Object Detection with Computer Vision
Chawla, S. (Lead Principal Investigator), Sadeghi, M. A. (Principal Investigator) & Margineantu, D. (Technical Advisor)
1/01/22 → 30/06/25
Project: Applied Research
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QCRI-CORE-000004: Advanced Machine Learning Methods
Sadeghi, M. A. (Lead Principal Investigator), Messaoud, S. (Principal Investigator) & Chawla, S. (Principal Investigator)
1/07/23 → 30/06/24
Project: Applied Research
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A novel deep learning-based approach for video quality enhancement
Zilouchian Moghaddam, P., Modarressi, M. & Sadeghi, M. A., 15 Mar 2025, In: Engineering Applications of Artificial Intelligence. 144, 11 p., 110118.Research output: Contribution to journal › Article › peer-review
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An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
Varasteh, M., Nejad, M. S., Moradi, H., Sadeghi, M. A. & Kalhor, A., 2023, 2023 31st International Conference on Electrical Engineering, ICEE 2023. Institute of Electrical and Electronics Engineers Inc., p. 881-887 7 p. (2023 31st International Conference on Electrical Engineering, ICEE 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Citation (Scopus) -
A pragmatic perspective on AI transparency at workplace
Al-Sulaiti, G., Sadeghi, M. A., Chauhan, L., Lucas, J. K., Chawla, S. & Elmagarmid, A. K., 30 Jan 2023, In: AI and Ethics. p. 189-200 12 p.Research output: Contribution to journal › Article › peer-review
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OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values
Salkovic, E., Baggag, A., Salem, A. G. R., Bensmail, H. & Sadeghi, M. A., 1 Apr 2023, In: Bioinformatics. 39, 4, btad142.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Prediction of Arsenic Concentration in Water Samples Using Digital Imaging Colorimetry and Multi-Variable Regression
Sajed, S., Kolahdouz, M. & Sadeghi, M. A., 19 Aug 2022, In: ChemistrySelect. 7, 31, e202201376.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus)