Kristen Jaskie

According to our database, Kristen Jaskie authored at least 10 papers between 2019 and 2022.

Collaborative distances:

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

2022

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors.

Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Ramamurthy, Andreas Spanias, Mahesh K. Banavar, Abhinav Dixit, Jie Fan, Mohit Malu, Kristen Jaskie, Sunil Rao, Uday Shankar Shanthamallu, Vivek Sivaraman Narayanaswamy, Sameeksha Katoch

Int. J. Virtual Pers. Learn. Environ., 2022

2021

PV Array Soiling Detection using Machine Learning.

Joshua Martin, Kristen Jaskie, Yiannis Tofis, Andreas Spanias

Proceedings of the 12th International Conference on Information, 2021

Research Experiences for Teachers in Machine Learning.

Kristen Jaskie, Jean S. Larson, Milton Johnson, Kathy Turner, Megan O'Donnell, Jennifer Blain Christen, Sunil Rao, Andreas Spanias

Proceedings of the IEEE Frontiers in Education Conference, 2021

2020

Deep Learning Networks for Vectorized Energy Load Forecasting.

Kristen Jaskie, Dominique Smith, Andreas Spanias

Proceedings of the 11th International Conference on Information, 2020

IRES Program in Sensors and Machine Learning for Energy Systems.

Kristen Jaskie, Joshua Martin, Sunil Rao, Wendy Barnard, Photini Spanias, Elias Kyriakides, Yiannis Tofis, Lenos Hadjidemetriou, Maria K. Michael, Theocharis Theocharides, Stella K. Hadjistassou, Andreas Spanias

Proceedings of the 11th International Conference on Information, 2020

Machine Learning For Fast Short-Term Energy Load Forecasting.

Dominique Smith, Kristen Jaskie, John J. Cadigan, Joseph W. Marvin, Andreas Spanias

Proceedings of the IEEE Conference on Industrial Cyberphysical Systems, 2020

2019

PV Array Fault Detection using Radial Basis Networks.

Emma Pedersen, Sunil Rao, Sameeksha Katoch, Kristen Jaskie, Andreas Spanias, Cihan Tepedelenlioglu, Elias Kyriakides

Proceedings of the 10th International Conference on Information, 2019

Positive And Unlabeled Learning Algorithms And Applications: A Survey.

Kristen Jaskie, Andreas Spanias

Proceedings of the 10th International Conference on Information, 2019

Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems.

Juan Andrade, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie

Proceedings of the 10th International Conference on Information, 2019

A Modified Logistic Regression for Positive and Unlabeled Learning.

Kristen Jaskie, Charles Elkan, Andreas Spanias

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019