samaneh aminikhanghahi
samaneh aminikhanghahi
PhD Computer Science, Washington State University
Verified email at - Homepage
Cited by
Cited by
A survey of methods for time series change point detection
S Aminikhanghahi, DJ Cook
Knowledge and information systems 51 (2), 339-367, 2017
Real-time change point detection with application to smart home time series data
S Aminikhanghahi, T Wang, DJ Cook
IEEE Transactions on Knowledge and Data Engineering 31 (5), 1010-1023, 2018
Enhancing activity recognition using CPD-based activity segmentation
S Aminikhanghahi, DJ Cook
Pervasive and Mobile Computing 53, 75-89, 2019
Using Change Point Detection to Automate Daily Activity Segmentation
S Aminikhanghahi, DJ Cook
13th Workshop on Context and Activity Modeling and Recognition, 2017
A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification
S Aminikhanghahi, S Shin, W Wang, SI Jeon, SH Son
Multimedia Tools and Applications 76, 10191-10205, 2017
Easing power consumption of wearable activity monitoring with change point detection
C Culman, S Aminikhanghahi, D J. Cook
Sensors 20 (1), 310, 2020
Fall detection in smart home environments using UWB sensors and unsupervised change detection
G Mokhtari, S Aminikhanghahi, Q Zhang, DJ Cook
Journal of Reliable Intelligent Environments 4, 131-139, 2018
Context-aware delivery of ecological momentary assessment
S Aminikhanghahi, M Schmitter-Edgecombe, DJ Cook
IEEE journal of biomedical and health informatics 24 (4), 1206-1214, 2019
Thyme: Improving smartphone prompt timing through activity awareness
S Aminikhanghahi, R Fallahzadeh, M Sawyer, DJ Cook, LB Holder
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
Toward personalized and context-aware prompting for smartphone-based intervention
R Fallahzadeh, S Aminikhanghahi, AN Gibson, DJ Cook
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening
S Aminikhanghahi, W Wang, S Shin, SH Son, SI Jeon
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 674-679, 2014
Study of wireless mammography image transmission impacts on robust cyber-aided diagnosis systems
S Aminikhanghahi, S Shin, W Wang, SI Jeon, SH Son, C Pack
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2252-2256, 2015
An optimized support vector machine classifier to extract abnormal features from breast microwave tomography data
S Aminikhanghahi, S Shin, W Wang, SH Son, SI Jeon
Proceedings of the 2014 Conference on Research in Adaptive and Convergent …, 2014
Toward visual field assessment using head-worn sensing devices
Y Ma, S Aminikhanghahi, S Wilhelm, WD Thorsen, EC Coleman, ...
2018 IEEE 15th International Conference on Wearable and Implantable Body …, 2018
Real-Time Detection of Multi-Scale Changes in Smart Homes
S Aminikhanghahi
Washington State University, 2018
An Optimized Fuzzy Support Vector Machine Classifier using Breast Mammogram Tomography: Trade-off between Specificity and Sensitivity
C Pack, S Aminikhanghahi, S Shin, SI Jeon, SH Son
International Information Institute (Tokyo). Information 18 (9), 3979, 2015
FGMM-based Computer Aided Diagnosis to Classify Benign/Malignant Breast Mammogram Images
S Aminikhanghahi
South Dakota State University, 2014
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