Gülüstan Dogan

According to our database, Gülüstan Dogan authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Using Artificial Intelligence to Detect Falls.

Jonathan Daniel Sturdivant, Nicholas Morris, Tiara Hendricks, Gülüstan Dogan, Michel Heijnen

Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

Rainfall Forecasting with Variational Autoencoders and LSTMs.

Eron Neill, Gülüstan Dogan

Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

Human Wellness in the Cape Fear River Basin Based on CAFO Data.

Timothy Hamilton, Elif Sahin, Andrew Ayers, Alexander Cossifos, Gülüstan Dogan, Eric Moore

Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

Comparison of Machine and Deep Learning Models for the Prediction of Land Degradation.

Joshua Edwards, Gülüstan Dogan, Narcisa G. Pricope

Proceedings of the 6th International Conference on Information and Computer Technologies, 2023

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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Pose Estimation for Future Prediction of Falling.

Evan Kurpiewski, Gülüstan Dogan

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Multiview Representation Learning for Human Activity Recognition.

Massinissa Hamidi, Aomar Osmani, Lukmon Rasaq, Gülüstan Dogan, Nouran Alotaibi

Proceedings of the IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2022

2021

Advances in Human Activity Recognition.

Gülüstan Dogan

Computer, 2021

911 4 COVID-19: Analyzing Impact of COVID-19 on 911 Call Behavior.

Gülüstan Dogan, Rachel B. Carroll, Gözde Merve Demirci

Proceedings of the ICSCA 2021, 2021

Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data.

Gülüstan Dogan, Jonathan Daniel Sturdivant, Seyda Ari, Evan Kurpiewski

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Human Activity Recognition Using Convolutional Neural Networks.

Gülüstan Dogan, Sinem Sena Ertas, Iremnaz Cay

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

Understanding the Effects on Balance for Elite Platform Divers Using Machine Learning.

Gülüstan Dogan, Blythe Layne, Seyda Ari, Morgan Glisson, Evan Kurpiewski, Michel Heijnen, Karl Ricanek

Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

2020

A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours.

Gülüstan Dogan, Seydi Alkan, Alper Bayazit, Gözde Merve Demirci

Proceedings of the Digital Interaction and Machine Intelligence - Proceedings of MIDI'2020, 2020

Where are you?: human activity recognition with smartphone sensor data.

Gülüstan Dogan, Iremnaz Cay, Sinem Sena Ertas, Seref Recep Keskin, Nouran Alotaibi, Elif Sahin

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

A Data-Driven Approach to Kinematic Analytics of Spinal Motion.

Aysenur Gençdogmus, Seref Recep Keskin, Gülüstan Dogan, Yusuf Öztürk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Sentiment Analysis in Turkish with Deep Learning.

Gözde Merve Demirci, Seref Recep Keskin, Gülüstan Dogan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019