6 papers
Graph-Theoretic Models for the Prediction of Molecular Measurements
Anna Niane, Prudence Djagba
Graph-theoretic approaches offer simplicity, interpretability, and low computational cost for molecular property prediction. Among these, the model proposed by Mukwembi and Nyabadz…
Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom
Prudence Djagba, Kevin Haudek, Clare G. C. Franovic +1
Automated scoring of students' scientific explanations offers the potential for immediate, accurate feedback, yet class imbalance in rubric categories particularly those capturing…
Reinforcement Learning for Portfolio Optimization with a Financial Goal and Defined Time Horizons
Fermat Leukam, Rock Stephane Koffi, Prudence Djagba
This research proposes an enhancement to the innovative portfolio optimization approach using the G-Learning algorithm, combined with parametric optimization via the GIRL algorithm…
Exploring Large Language Models for Financial Applications: Techniques, Performance, and Challenges with FinMA
Prudence Djagba, Abdelkader Y. Saley
This research explores the strengths and weaknesses of domain-adapted Large Language Models (LLMs) in the context of financial natural language processing (NLP). The analysis cente…
Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom
Leonora Kaldaras, Tingting Li, Prudence Djagba +2
Learning Progressions (LPs) can help adjust instruction to individual learners needs if the LPs reflect diverse ways of thinking about a construct being measured, and if the LP-ali…
Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications
Prudence Djagba, Chimezie A. Odinakachukwu
This work evaluates FinGPT, a financial domain-specific language model, across six key natural language processing (NLP) tasks: Sentiment Analysis, Text Classification, Named Entit…