Johannes Kristinsson

According to our database, Johannes Kristinsson authored at least 13 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Personalized Session-Based Recommendation Using Graph Attention Networks.

Yongquan Xie, Zhengru Li, Tian Qin, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey

Proceedings of the International Joint Conference on Neural Networks, 2021

F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms.

Yongquan Xie, Finn Tseng, Johannes Kristinsson, Shiqi Qiu, Yi Lu Murphey

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2016

Dynamic prediction of drivers' personal routes through machine learning.

Yue Dai, Yuan Ma, Qianyi Wang, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Path-forecasting for HEV optimal energy management (POEM).

Yanan Zhao, Ming L. Kuang, Anthony M. Phillips, Johannes Kristinsson

Proceedings of the 2016 American Control Conference, 2016

2015

Building Efficient Probability Transition Matrix Using Machine Learning from Big Data for Personalized Route Prediction.

Xipeng Wang, Yuan Ma, Junru Di, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp

Proceedings of the INNS Conference on Big Data 2015, 2015

2014

Intelligent Trip Modeling for the Prediction of an Origin-Destination Traveling Speed Profile.

Jungme Park, Yi Lu Murphey, Ryan McGee, Johannes Kristinsson, Ming L. Kuang, Anthony M. Phillips

IEEE Trans. Intell. Transp. Syst., 2014

Intelligent Trip Modeling on Ramps using ramp classification and knowledge base.

Xipeng Wang, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ming Kuang, Tony Phillips

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Intelligent speed profile prediction on urban traffic networks with machine learning.

Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2011

Evaluation of the Use of Quality Attribute Scenarios in a Plug-In Hybrid Electric Vehicle Controls System - Industrial Case Study.

Anthony Tsakiris, Johannes Kristinsson, Ryan McGee

Proceedings of the 9th Working IEEE/IFIP Conference on Software Architecture, 2011

Real time vehicle speed prediction using a Neural Network Traffic Model.

Jungme Park, Dai Li, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Real time vehicle speed predition using gas-kinetic traffic modeling.

Ruoqian Liu, Shen Xu, Jungme Park, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

Contextual on-board learning and prediction of vehicle destinations.

Dimitar P. Filev, Fling Tseng, Johannes Kristinsson, Ryan McGee

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

Distance Until Charge prediction and fuel economy impact for Plug-in Hybrid Vehicles.

Payam Naghshtabrizi, Johannes Kristinsson, Hai Yu, Ryan McGee

Proceedings of the American Control Conference, 2011