Faculty profile
Masoud Makrehchi
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Research
Latest papers
Deceptive bias measurement in deep learning: Assessing shortcut reliance in TCGA cancer models.
PLOS digital health · 2026 · senior author
Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization.
Artificial intelligence in medicine · 2026 · senior author
Enhancing image retrieval through optimal barcode representation.
Scientific reports · 2025
Latest funding
- $96,000
Algorithms and applications of Link Mining: Making Sense of Network Data
NSERC · 2021 · Principal investigator
- $25,000
Identifying General Product and Brand Names in Online Forums
NSERC · 2017 · Principal investigator
- $25,000
Detecting relevant segment of text in legal domain
NSERC · 2016 · Principal investigator
5 publications.
Deceptive bias measurement in deep learning: Assessing shortcut reliance in TCGA cancer models.
Kheiri F, Rahnamayan S, Makrehchi M
Mitigating data center bias in cancer classification: Transfer bias unlearning and feature size reduction via conflict-of-interest free multi-objective optimization.
Kheiri F, Rahnamayan S, Makrehchi M
Enhancing image retrieval through optimal barcode representation.
Khosrowshahli R, Kheiri F, Asilian Bidgoli A, Tizhoosh HR, Makrehchi M, Rahnamayan S
Investigation on potential bias factors in histopathology datasets.
Kheiri F, Rahnamayan S, Makrehchi M, Asilian Bidgoli A
Predicting and Grouping Digitized Paintings by Style using Unsupervised Feature Learning.
Gultepe E, Conturo TE, Makrehchi M
Algorithms and applications of Link Mining: Making Sense of Network Data
Principal investigators: Makrehchi, Masoud
Keywords: link mining; link prediction and recommendation; machine learning; community detection; link sign prediction; node and object ranking; graph theory and network science; social network analysis; link direction prediction; link and edge embedding
Identifying General Product and Brand Names in Online Forums
Principal investigators: Makrehchi, Masoud
Detecting relevant segment of text in legal domain
Principal investigators: Makrehchi, Masoud
Computer assisted generation and transformation of web content
Principal investigators: Makrehchi, Masoud
Towards Predicting Socio-economic Systems by Mining Social Media Data
Principal investigators: Makrehchi, Masoud
Social Media, Investor Sentiment and Initial Public Offerings
Principal investigators: Saadi, Samir
Keywords: Social Media; Initial Public offerings; Text Mining; Stock Price behaviour; Market Sentiment; Long-term performance; Twitter
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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