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
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
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
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
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