Sentiment Analysis in Turkish with Deep Learning. - Gözde Merve Demirci; Seref Recep Keskin; Gülüstan Dogan 001 (IEEE BigData, 2019)

A Data-Driven Approach to Kinematic Analytics of Spinal Motion. - Aysenur Gençdogmus; Seref Recep Keskin; Gülüstan Dogan 001; Yusuf Öztürk (IEEE BigData, 2019)

Where are you?: human activity recognition with smartphone sensor data. - Gülüstan Dogan 001; Iremnaz Cay; Sinem Sena Ertas; Seref Recep Keskin; Nouran Alotaibi; Elif Sahin (UbiComp/ISWC Adjunct, 2020)

A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours. - Gülüstan Dogan 001; Seydi Alkan; Alper Bayazit; Gözde Merve Demirci (MIDI, 2020)

Understanding the Effects on Balance for Elite Platform Divers Using Machine Learning. - Gülüstan Dogan 001; Blythe Layne; Seyda Ari; Morgan Glisson; Evan Kurpiewski; Michel Heijnen; Karl Ricanek (BigDataService, 2021)

Human Activity Recognition Using Convolutional Neural Networks. - Gülüstan Dogan 001; Sinem Sena Ertas; Iremnaz Cay (CIBCB, 2021)

Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data. - Gülüstan Dogan 001; Jonathan Daniel Sturdivant; Seyda Ari; Evan Kurpiewski (UbiComp/ISWC Adjunct, 2021)

911 4 COVID-19: Analyzing Impact of COVID-19 on 911 Call Behavior. - Gülüstan Dogan 001; Rachel B. Carroll; Gözde Merve Demirci (ICSCA, 2021)

Advances in Human Activity Recognition. - Gülüstan Dogan 001 (Computer, 2021)

Multiview Representation Learning for Human Activity Recognition. - Massinissa Hamidi; Aomar Osmani; Lukmon Rasaq; Gülüstan Dogan 001; Nouran Alotaibi (CIVEMSA, 2022)

Pose Estimation for Future Prediction of Falling. - Evan Kurpiewski; Gülüstan Dogan 001 (ICMLA, 2022)

Using Artificial Intelligence to Predict Patient Electronic Health Record Access Points. - D. J. McMoran; Alejandra Maria O'Malley; Aysun Karamustafaoglu; Daniel M. Fisher; Gülüstan Dogan 001 (ICMLA, 2022)

Predicting Water Quality Estimates Using Satellite Images in Coastal and Estuarine Environments. - Ryan Hogan; Meghan Ford; Mandy Battaglia; Jonathan Daniel Sturdivant; Gülüstan Dogan 001; Philip J. Bresnahan (J. Comput. Sci. Coll., 2022)

Comparison of Machine and Deep Learning Models for the Prediction of Land Degradation. - Joshua Edwards; Gülüstan Dogan 001; Narcisa G. Pricope (ICICT, 2023)

Human Wellness in the Cape Fear River Basin Based on CAFO Data. - Timothy Hamilton; Elif Sahin; Andrew Ayers; Alexander Cossifos; Gülüstan Dogan 001; Eric Moore (ICICT, 2023)

Rainfall Forecasting with Variational Autoencoders and LSTMs. - Eron Neill; Gülüstan Dogan 001 (ICICT, 2023)

Using Artificial Intelligence to Detect Falls. - Jonathan Daniel Sturdivant; Nicholas Morris; Tiara Hendricks; Gülüstan Dogan 001; Michel Heijnen (ICICT, 2023)

BlueAI: Designing Artificial Intelligence for Environment Science and Climate Change Learning Experiences for K12 Students. - Gülüstan Dogan 001; Elif Sahin; Catherine Fay Wilkinson; Amelia K. Moody; Yang Song 019 (J. Comput. Sci. Coll., 2024)

Advisor SeaHawk: An Academic Advisor Chatbot for MSCSIS Students at UNCW. - Bulut Tok; Gülüstan Dogan 001 (J. Comput. Sci. Coll., 2024)