Author:Toheeb Olaoye

Publications
Developing Causal Reasoning-Specific Optimization Techniques Docas Akinyele and David Ray EasyChair Preprint 15144
Enhancing Developer Productivity: a Study on GitHub Copilot's Code Completion Capabilities Edwin Frank and Olaoye Godwin EasyChair Preprint 15083
Democratizing Coding: How GitHub Copilot Makes Programming More Accessible Edwin Frank and Olaoye Godwin EasyChair Preprint 15074
The Influence of Cultural and Traditional Diets on Weight Loss Efforts in Mumbai David Ray and Docas Akinyele EasyChair Preprint 14930
Machine Learning Algorithms for Sentiment Classification: Comparing Accuracy of SVM, Random Forest, and LSTM Docas Akinyele, Godwin Olaoye and David Ray EasyChair Preprint 14882
Correlating Social Media Sentiment with Stock Market Volatility Exploring Relationships Between Sentiment and Market Fluctuations Docas Akinyele and David Ray EasyChair Preprint 14881
The Role of COVID-19 News in Shaping Stock Market Sentiment: Insights from News Events and Social Media Docas Akinyele, Godwin Olaoye and David Ray EasyChair Preprint 14877
Real-World Applications and Impact of Hybrid Scalable Researcher Recommendation Systems Kayode Sheriffdeen and Toheeb Olaoye EasyChair Preprint 14070
Scalability and Performance Optimization Techniques in Azure Data Lake Analytics for Researcher Recommendation Systems Kayode Sheriffdeen and Toheeb Olaoye EasyChair Preprint 14069

Keyphrases

AI-Powered, AI-powered code, AI technologies, Azure Data Lake Analytics, causal inference, causal reasoning, correlation analysis, COVID-19, cultural influence, efficient deployment, efficient design, Efficient Resource Allocation, GitHub and OpenAI, hybrid scalable, Long Short-Term Memory, machine learning, Market Behavior², Mumbai, news events, Optimization Techniques, personalized medicine, predictive modeling, Random Forest, researcher recommendation systems², scientific knowledge advancement, Sentiment Analysis, sentiment classification, social media sentiment², software development², stock market, stock market volatility, Support Vector Machine, Traditional diets, weight loss.