Otis Smart

According to our database1, Otis Smart authored at least 12 papers between 2007 and 2019.

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

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2019
Unsupervised learning approach to estimating user engagement with mobile applications: A case study of The Weather Company (IBM).
Expert Syst. Appl., 2019

2018
Initial Unilateral Exposure to Deep Brain Stimulation in Treatment-Resistant Depression Patients Alters Spectral Power in the Subcallosal Cingulate.
Front. Comput. Neurosci., 2018

A Time-Dependent Principal Components-Based Dimension Reduction Approach to Analyzing the Influence of Product Interventions on User Engagement with Mobile Applications.
Proceedings of the 2018 IEEE World Congress on Services, 2018

2015
Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data.
Eng. Appl. of AI, 2015

Semi-automated patient-specific scalp EEG seizure detection with unsupervised machine learning.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction.
Comp. in Bio. and Med., 2014

Application of modulation spectrum for iEEG seizure analysis.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

An eLORETA EEG analysis to spatially resolve real and imagined neuromotor control.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2012
Mapping and mining interictal pathological gamma (30-100 Hz) oscillations with clinical intracranial EEG in patients with epilepsy.
Expert Syst. Appl., 2012

2011
Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms.
Expert Syst. Appl., 2011

2007
Genetic programming of conventional features to detect seizure precursors.
Eng. Appl. of AI, 2007

Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG.
Proceedings of the 2007 International Conference on Data Mining, 2007


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