ºÝºÝߣshows by User: CynthiaAlexanderRasc / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: CynthiaAlexanderRasc / Thu, 08 Dec 2016 02:45:13 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: CynthiaAlexanderRasc Anomaly Detection for Seizure Prediction /slideshow/anomaly-detection-for-seizure-prediction/69936951 brainwavescynthiaalexander-161208024513
Two week individual project on Predictive modeling of seizures using intra-cranial EEG records. Processed 50Gb+ of long-term electrical brain activity recordings. Extensive time series analysis, and feature selection heuristics to extract properties of brain waves’ signals, and generate personalized models for seizure prediction. ]]>

Two week individual project on Predictive modeling of seizures using intra-cranial EEG records. Processed 50Gb+ of long-term electrical brain activity recordings. Extensive time series analysis, and feature selection heuristics to extract properties of brain waves’ signals, and generate personalized models for seizure prediction. ]]>
Thu, 08 Dec 2016 02:45:13 GMT /slideshow/anomaly-detection-for-seizure-prediction/69936951 CynthiaAlexanderRasc@slideshare.net(CynthiaAlexanderRasc) Anomaly Detection for Seizure Prediction CynthiaAlexanderRasc Two week individual project on Predictive modeling of seizures using intra-cranial EEG records. Processed 50Gb+ of long-term electrical brain activity recordings. Extensive time series analysis, and feature selection heuristics to extract properties of brain waves’ signals, and generate personalized models for seizure prediction. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/brainwavescynthiaalexander-161208024513-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Two week individual project on Predictive modeling of seizures using intra-cranial EEG records. Processed 50Gb+ of long-term electrical brain activity recordings. Extensive time series analysis, and feature selection heuristics to extract properties of brain waves’ signals, and generate personalized models for seizure prediction.
Anomaly Detection for Seizure Prediction from Cynthia Alexander Rascon
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Brief introduction to Bioinformatics /CynthiaAlexanderRasc/brief-introduction-to-bioinformatics gashorttalk-160830084036
On Bioinformatics and ML. Brief intro to bioinformatics for machine learning students.]]>

On Bioinformatics and ML. Brief intro to bioinformatics for machine learning students.]]>
Tue, 30 Aug 2016 08:40:36 GMT /CynthiaAlexanderRasc/brief-introduction-to-bioinformatics CynthiaAlexanderRasc@slideshare.net(CynthiaAlexanderRasc) Brief introduction to Bioinformatics CynthiaAlexanderRasc On Bioinformatics and ML. Brief intro to bioinformatics for machine learning students. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gashorttalk-160830084036-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> On Bioinformatics and ML. Brief intro to bioinformatics for machine learning students.
Brief introduction to Bioinformatics from Cynthia Alexander Rascon
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Paper Abstracts Matter... But How much? /slideshow/paper-abstracts-matter-but-how-much/65455273 biotechtrends-160829072554
One week project, out of curiosity: This presentation analyzes more than 300,000 abstracts from PubMed to obtain common themes and trends in BioTech research. The bulk of this analysis was performed using natural language processing (NLP), and machine learning (ML) on the titles and abstract contents. I was able to derive that a paper's abstract alone is very predictive of future impact (by citation count).]]>

One week project, out of curiosity: This presentation analyzes more than 300,000 abstracts from PubMed to obtain common themes and trends in BioTech research. The bulk of this analysis was performed using natural language processing (NLP), and machine learning (ML) on the titles and abstract contents. I was able to derive that a paper's abstract alone is very predictive of future impact (by citation count).]]>
Mon, 29 Aug 2016 07:25:53 GMT /slideshow/paper-abstracts-matter-but-how-much/65455273 CynthiaAlexanderRasc@slideshare.net(CynthiaAlexanderRasc) Paper Abstracts Matter... But How much? CynthiaAlexanderRasc One week project, out of curiosity: This presentation analyzes more than 300,000 abstracts from PubMed to obtain common themes and trends in BioTech research. The bulk of this analysis was performed using natural language processing (NLP), and machine learning (ML) on the titles and abstract contents. I was able to derive that a paper's abstract alone is very predictive of future impact (by citation count). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/biotechtrends-160829072554-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> One week project, out of curiosity: This presentation analyzes more than 300,000 abstracts from PubMed to obtain common themes and trends in BioTech research. The bulk of this analysis was performed using natural language processing (NLP), and machine learning (ML) on the titles and abstract contents. I was able to derive that a paper&#39;s abstract alone is very predictive of future impact (by citation count).
Paper Abstracts Matter... But How much? from Cynthia Alexander Rascon
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https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/brainwavescynthiaalexander-161208024513-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/anomaly-detection-for-seizure-prediction/69936951 Anomaly Detection for ... https://cdn.slidesharecdn.com/ss_thumbnails/gashorttalk-160830084036-thumbnail.jpg?width=320&height=320&fit=bounds CynthiaAlexanderRasc/brief-introduction-to-bioinformatics Brief introduction to ... https://cdn.slidesharecdn.com/ss_thumbnails/biotechtrends-160829072554-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/paper-abstracts-matter-but-how-much/65455273 Paper Abstracts Matter...