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Bibliographies

20

1 From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations

2 Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System

3 Multi-Year Vector Dynamic Time Warping Based Crop Mapping

4 Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks

5 Sufficient Markov Decision Processes with Alternating Deep Neural Networks

6 Quantifying the relationship between student enrollment patterns and student performance

7 Piecewise Linear Multilayer Perceptrons and Dropout

8 Joint Training of Deep Boltzmann Machines

9 The Impact of Quantity of Training Data on Recognition of Eating Gestures

10 Who will dropout from university? Academic risk prediction based on interpretable machine learning

11 Stem-ming the Tide: Predicting STEM attrition using student transcript data

12 Trend analysis and forecasting air pollution in Rwanda

13 Modelling and characterization of fine Particulate Matter dynamics in Bujumbura using low cost sensors

14 Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach

15 Forecasting trends in food security with real time data

16 Demand Forecasting using Long Short-Term Memory Neural Networks

17 Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions

18 Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs

19 Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data

20 Adaptive Interventions for Global Health: A Case Study of Malaria