Samaneh Aminikhanghahi

Orcid: 0000-0002-0670-8996

Affiliations:
  • South Dakota State University, Brookings, USA


According to our database1, Samaneh Aminikhanghahi authored at least 14 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Context-Aware Delivery of Ecological Momentary Assessment.
IEEE J. Biomed. Health Informatics, 2020

Easing Power Consumption of Wearable Activity Monitoring with Change Point Detection.
Sensors, 2020

2019
Real-Time Change Point Detection with Application to Smart Home Time Series Data.
IEEE Trans. Knowl. Data Eng., 2019

Enhancing activity recognition using CPD-based activity segmentation.
Pervasive Mob. Comput., 2019

2018
Fall detection in smart home environments using UWB sensors and unsupervised change detection.
J. Reliab. Intell. Environ., 2018

Toward visual field assessment using head-worn sensing devices.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

2017
A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification.
Multim. Tools Appl., 2017

A survey of methods for time series change point detection.
Knowl. Inf. Syst., 2017

Using change point detection to automate daily activity segmentation.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Thyme: Improving Smartphone Prompt Timing Through Activity Awareness.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Toward personalized and context-aware prompting for smartphone-based intervention.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Study of wireless mammography image transmission impacts on robust cyber-aided diagnosis systems.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014
Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening.
Proceedings of the Symposium on Applied Computing, 2014

An optimized support vector machine classifier to extract abnormal features from breast microwave tomography data.
Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, 2014


  Loading...