Search Results for author:
Found 8 papers, 3 papers with code
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models
This study introduces a novel teacher-student architecture utilizing Large Language Models (LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes.
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology
Natural Language Processing (NLP) is a key technique for developing Medical Artificial Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build diagnostic and prognostic models.
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains
Three different experiments are conducted in this study to test the applicability of imitating Tsallis entropy for performance enhancement: Bitcoin price prediction, speech emotion recognition, and chronic neck pain detection.
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs
In this paper, we present Mambanet: a hybrid neural network for predicting the outcomes of Basketball games.
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals
In this work, we apply common PCG signal processing techniques on the gender-tagged Shiraz University Fetal Heart Sounds Database and study the applicability of previously proposed features in classifying fetal gender using both Machine Learning and Deep Learning models.
Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetry
Persian Poetry has consistently expressed its philosophy, wisdom, speech, and rationale on the basis of its couplets, making it an enigmatic language on its own to both native and non-native speakers.
COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
In this paper, we collected a large dataset of these articles, leveraged different BERT variations as well as other keyword models such as BM25 and TF-IDF, and created a search engine to sift through these documents and rank them, given a user's query.
PGST: a Polyglot Gender Style Transfer method
Since different approaches are introduced in our research, we determine a trade-off value for evaluating different models' success in faking our gender identification model with transferred text.
