Hedonic Housing Theory - A Machine Learning Investigation. - Timothy Oladunni; Sharad Sharma (ICMLA, 2016)

Spatial Dependency and Hedonic Housing Regression Model. - Timothy Oladunni; Sharad Sharma (ICMLA, 2016)

A Spatio - Temporal Hedonic House Regression Model. - Timothy Oladunni; Sharad Sharma; Raymond Tiwang (ICMLA, 2017)

Foreclosure Sale and House Value: Correlation or Causation? - Timothy Oladunni; Sharad Sharma; Raymond Tiwang (ICMLA, 2017)

Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM). - Md Amimul Ehsan; Amir Shahirinia; Nian Zhang; Timothy Oladunni (CoRR, 2020)

Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms. - Md Amimul Ehsan; Amir Shahirinia; Nian Zhang; Timothy Oladunni (Cybern. Syst., 2021)

Deep neural networks for human's fall-risk prediction using force-plate time series signal. - Marzieh Savadkoohi; Timothy Oladunni; Lara A. Thompson (Expert Syst. Appl., 2021)

A CNN Transfer Learning -Electrocardiogram (ECG) Signal Approach to Predict COVID-19. - John Irungu; Timothy Oladunni; Max Denis; Esther Ososanya; Ruth Muriithi (ICCAE, 2023)

A Machine Learning-Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion From Twitter Tweets. - Staphord Bengesi; Timothy Oladunni; Ruth Olusegun; Halima Audu (IEEE Access, 2023)

ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling. - John Irungu; Timothy Oladunni; Andrew C. Grizzle; Max Denis; Marzieh Savadkoohi; Esther Ososanya (IEEE Access, 2023)

Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach. - Ruth Olusegun; Timothy Oladunni; Halima Audu; Yao Houkpati; Staphord Bengesi (IEEE Access, 2023)

Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset. - Miftahul Qorib; Timothy Oladunni; Max Denis; Esther Ososanya; Paul Cotae (Expert Syst. Appl., 2023)

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. - Staphord Bengesi; Hoda El-Sayed; Md. Kamruzzaman Sarker; Yao Houkpati; John Irungu; Timothy Oladunni (IEEE Access, 2024)