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Hellođź‘‹! My name is Rohan!
About me
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Posts
Blog Post 1
Published:
All my blog posts are on Blogger!portfolio
Software Engineering Intern
Endurance International Group (Newfold Digital), 2018
publications
Transfer Learning - A Comparative Analysis
Published in , 2018
A high-level comparison of transfer learning approaches for computer vision.
Recommended citation: Saha, R., & Saha, D. (2018). Transfer Learning - A Comparative Analysis. doi:10.13140/RG.2.2.31127.39848 http://dx.doi.org/10.13140/RG.2.2.31127.39848
Homonym Identification using BERT - Using a Clustering Approach
Published in , 2020
Clustering for Word Sense Disambiguation using BERT embeddings
Recommended citation: Saha, R. (2020). Homonym Identification using BERT - Using a Clustering Approach. doi:10.13140/RG.2.2.29120.07681 http://dx.doi.org/10.13140/RG.2.2.29120.07681
Evolutionary Program Synthesis for Card Games.
Published in , 2020
Application of evolutionary approaches to retrieve instructions from a domain specific language for the board game of Rack’O
Recommended citation: Saha, R., & Pirlot, C. (2020). Analysis of evolutionary program synthesis for card games - racko. doi:10.13140/RG.2.2.24925.77280 https://doi.org/10.48550/arXiv.2101.03172
Relation Extraction using Convolution and Memory Networks (Under Review)
Published in , 2023
How can we improve relation extraction on tabular data?
Recommended citation: Shahriar, A., Saha, R., & Barbosa, D. (2023). Relational extraction on Wikipedia tables using convolutional and memory networks. Retrieved from http://arxiv.org/abs/2307.05827 https://arxiv.org/abs/2307.05827
Insights into early word comprehension: Tracking the neural representations of word semantics in infants (Under Review)
Published in , 2023
Using machine learning and NLP to understand how language is processed in infant brains.
Recommended citation: Saha, R., Campbell, J., Werker, J. F., & Fyshe, A. (2021). Insights into early word comprehension: Tracking the neural representations of word semantics in infants. doi:10.1101/2021.10.28.466334 https://doi.org/10.1101/2021.10.28.466334
talks
teaching
Teaching Assistant: PSYCO-576
Graduate course, University of Alberta, Department of Computing Science, 2020
Course: Machine Learning for Psychology Designed 10+ hours of jupyter notebooks assignments to teach applications of machine learning to neuroscience data.
Teaching Assistant: CMPUT-301
Undergraduate course, University of Alberta, Department of Computing Science, 2022
Course: Software Engineering Involved in teaching hands-on labs mentoring teams of undergraduate students for building an android mobile application. Technologies covered: Android, Java, Firestore NoSQL, Unit / Intent testing, Git.
Teaching Assistant: CMPUT-302
Undergraduate course, University of Alberta, Department of Computing Science, 2023
Course: Introduction to Human computer Interation Assisted the facilitation of the course to teach and design principles surrounding educational technology applications.