際際滷shows by User: ibelmopan / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ibelmopan / Thu, 11 Jan 2018 01:46:09 GMT 際際滷Share feed for 際際滷shows by User: ibelmopan The Future of Brain-Powered Learning /slideshow/the-future-of-brainpowered-learning/85998387 thefutureofbrain-poweredlearningbci-final-180111014609
Brain-Machine Interfaces for e-learning platforms.]]>
Brain-Machine Interfaces for e-learning platforms.]]> Thu, 11 Jan 2018 01:46:09 GMT /slideshow/the-future-of-brainpowered-learning/85998387 ibelmopan@slideshare.net(ibelmopan) The Future of Brain-Powered Learning ibelmopan Brain-Machine Interfaces for e-learning platforms. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thefutureofbrain-poweredlearningbci-final-180111014609-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Brain-Machine Interfaces for e-learning platforms.
The Future of Brain-Powered Learning from Elvis Saravia
]]> 157 3 https://cdn.slidesharecdn.com/ss_thumbnails/thefutureofbrain-poweredlearningbci-final-180111014609-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Fundamentals of RNNs /ibelmopan/introduction-to-fundamentals-of-rnns introductiontofundamentalsofrnns-171224042158
Introduction to Fundamentals of Recurrent Neural Networks (RNNs)]]>
Introduction to Fundamentals of Recurrent Neural Networks (RNNs)]]> Sun, 24 Dec 2017 04:21:58 GMT /ibelmopan/introduction-to-fundamentals-of-rnns ibelmopan@slideshare.net(ibelmopan) Introduction to Fundamentals of RNNs ibelmopan Introduction to Fundamentals of Recurrent Neural Networks (RNNs) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontofundamentalsofrnns-171224042158-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to Fundamentals of Recurrent Neural Networks (RNNs)
Introduction to Fundamentals of RNNs from Elvis Saravia
]]> 110 5 https://cdn.slidesharecdn.com/ss_thumbnails/introductiontofundamentalsofrnns-171224042158-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Text mining lab (summer 2017) - Word Vector Representation /slideshow/text-mining-lab-summer-2017-word-vector-representation/78219293 textmininglabsummer20171-170725035721
Text Mining lab for summer 2017 course. Main focus was on word vector representation using word2vec and other word embedding implementations. ]]>
Text Mining lab for summer 2017 course. Main focus was on word vector representation using word2vec and other word embedding implementations. ]]> Tue, 25 Jul 2017 03:57:21 GMT /slideshow/text-mining-lab-summer-2017-word-vector-representation/78219293 ibelmopan@slideshare.net(ibelmopan) Text mining lab (summer 2017) - Word Vector Representation ibelmopan Text Mining lab for summer 2017 course. Main focus was on word vector representation using word2vec and other word embedding implementations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/textmininglabsummer20171-170725035721-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Text Mining lab for summer 2017 course. Main focus was on word vector representation using word2vec and other word embedding implementations.
Text mining lab (summer 2017) - Word Vector Representation from Elvis Saravia
]]> 102 4 https://cdn.slidesharecdn.com/ss_thumbnails/textmininglabsummer20171-170725035721-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Thesis oral defense 2015 elvis saravia /slideshow/thesis-oral-defense-2015-elvis-saravia/78219195 thesisoraldefense2015-elvissaravia-170725035149
Today, most personalized and recommendation services are built around interest extraction models but the outputs of these algorithms are ambiguous in nature. This makes it difficult to understand what users are personally interested in and more importantly what they are feeling towards these interests and how their interests transition through time. By studying both users' interests and emotions, simultaneously, one can further investigate the motivation behind these interests. Such findings can be useful to build better interest extraction models and algorithms that leverage personalized and recommendation services (e.g., ads. targeting, e-commerce and dating sites). In this paper, we propose the demonstration of a web visualization tool - EmoViz - which facilitates the further exploration of users' interests and their emotions at a global scale. Such tool, through the use of various visual components, aims to alleviate the problem of understanding what users of the world are interested in and the motivations behind their interests and feelings. Accompanying paper for this work: http://ieeexplore.ieee.org/document/7403627/]]>
Today, most personalized and recommendation services are built around interest extraction models but the outputs of these algorithms are ambiguous in nature. This makes it difficult to understand what users are personally interested in and more importantly what they are feeling towards these interests and how their interests transition through time. By studying both users' interests and emotions, simultaneously, one can further investigate the motivation behind these interests. Such findings can be useful to build better interest extraction models and algorithms that leverage personalized and recommendation services (e.g., ads. targeting, e-commerce and dating sites). In this paper, we propose the demonstration of a web visualization tool - EmoViz - which facilitates the further exploration of users' interests and their emotions at a global scale. Such tool, through the use of various visual components, aims to alleviate the problem of understanding what users of the world are interested in and the motivations behind their interests and feelings. Accompanying paper for this work: http://ieeexplore.ieee.org/document/7403627/]]> Tue, 25 Jul 2017 03:51:49 GMT /slideshow/thesis-oral-defense-2015-elvis-saravia/78219195 ibelmopan@slideshare.net(ibelmopan) Thesis oral defense 2015 elvis saravia ibelmopan Today, most personalized and recommendation services are built around interest extraction models but the outputs of these algorithms are ambiguous in nature. This makes it difficult to understand what users are personally interested in and more importantly what they are feeling towards these interests and how their interests transition through time. By studying both users' interests and emotions, simultaneously, one can further investigate the motivation behind these interests. Such findings can be useful to build better interest extraction models and algorithms that leverage personalized and recommendation services (e.g., ads. targeting, e-commerce and dating sites). In this paper, we propose the demonstration of a web visualization tool - EmoViz - which facilitates the further exploration of users' interests and their emotions at a global scale. Such tool, through the use of various visual components, aims to alleviate the problem of understanding what users of the world are interested in and the motivations behind their interests and feelings. Accompanying paper for this work: http://ieeexplore.ieee.org/document/7403627/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thesisoraldefense2015-elvissaravia-170725035149-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Today, most personalized and recommendation services are built around interest extraction models but the outputs of these algorithms are ambiguous in nature. This makes it difficult to understand what users are personally interested in and more importantly what they are feeling towards these interests and how their interests transition through time. By studying both users&#39; interests and emotions, simultaneously, one can further investigate the motivation behind these interests. Such findings can be useful to build better interest extraction models and algorithms that leverage personalized and recommendation services (e.g., ads. targeting, e-commerce and dating sites). In this paper, we propose the demonstration of a web visualization tool - EmoViz - which facilitates the further exploration of users&#39; interests and their emotions at a global scale. Such tool, through the use of various visual components, aims to alleviate the problem of understanding what users of the world are interested in and the motivations behind their interests and feelings. Accompanying paper for this work: http://ieeexplore.ieee.org/document/7403627/
Thesis oral defense 2015 elvis saravia from Elvis Saravia
]]> 146 6 https://cdn.slidesharecdn.com/ss_thumbnails/thesisoraldefense2015-elvissaravia-170725035149-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 An Introduction to Apache Spark /slideshow/an-introduction-to-apache-spark-70193360/70193360 spark-161216055316
Apache Spark Introduction for Advanced Database Systems Course. ]]>
Apache Spark Introduction for Advanced Database Systems Course. ]]> Fri, 16 Dec 2016 05:53:16 GMT /slideshow/an-introduction-to-apache-spark-70193360/70193360 ibelmopan@slideshare.net(ibelmopan) An Introduction to Apache Spark ibelmopan Apache Spark Introduction for Advanced Database Systems Course. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/spark-161216055316-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Apache Spark Introduction for Advanced Database Systems Course.
An Introduction to Apache Spark from Elvis Saravia
]]> 184 2 https://cdn.slidesharecdn.com/ss_thumbnails/spark-161216055316-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Neurochemistry of Music /slideshow/the-neurochemistry-of-music/67949244 neurochemistryofmusic-161101014851
Student paper presentation based on the work of J.Levitin and Mona Lisa Chanda - "The Neurochemistry of Music"]]>
Student paper presentation based on the work of J.Levitin and Mona Lisa Chanda - "The Neurochemistry of Music"]]> Tue, 01 Nov 2016 01:48:51 GMT /slideshow/the-neurochemistry-of-music/67949244 ibelmopan@slideshare.net(ibelmopan) The Neurochemistry of Music ibelmopan Student paper presentation based on the work of J.Levitin and Mona Lisa Chanda - "The Neurochemistry of Music" <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/neurochemistryofmusic-161101014851-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Student paper presentation based on the work of J.Levitin and Mona Lisa Chanda - &quot;The Neurochemistry of Music&quot;
The Neurochemistry of Music from Elvis Saravia
]]> 985 5 https://cdn.slidesharecdn.com/ss_thumbnails/neurochemistryofmusic-161101014851-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 NewSQL - The Future of Databases? /slideshow/newsql-the-future-of-databases/66723541 newsql-161004150743
NewSQL - The Future of Databases?]]>
NewSQL - The Future of Databases?]]> Tue, 04 Oct 2016 15:07:43 GMT /slideshow/newsql-the-future-of-databases/66723541 ibelmopan@slideshare.net(ibelmopan) NewSQL - The Future of Databases? ibelmopan NewSQL - The Future of Databases? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/newsql-161004150743-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> NewSQL - The Future of Databases?
NewSQL - The Future of Databases? from Elvis Saravia
]]> 2429 5 https://cdn.slidesharecdn.com/ss_thumbnails/newsql-161004150743-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Crowdsource Delivery System - Improving traditional delivery systems /slideshow/crowdsource-delivery-system-improving-traditional-delivery-systems/66723014 ecfinalreportelvissaraviashiynagtang-161004145447
Final presentation for e-commerce course]]>
Final presentation for e-commerce course]]> Tue, 04 Oct 2016 14:54:46 GMT /slideshow/crowdsource-delivery-system-improving-traditional-delivery-systems/66723014 ibelmopan@slideshare.net(ibelmopan) Crowdsource Delivery System - Improving traditional delivery systems ibelmopan Final presentation for e-commerce course <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ecfinalreportelvissaraviashiynagtang-161004145447-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Final presentation for e-commerce course
Crowdsource Delivery System - Improving traditional delivery systems from Elvis Saravia
]]> 208 3 https://cdn.slidesharecdn.com/ss_thumbnails/ecfinalreportelvissaraviashiynagtang-161004145447-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Relational Databases - Benefits and Challenges /slideshow/relational-databases-benefits-and-challenges/66722488 untitledpresentation-161004144649
Relational Databases - Benefits and Challenges]]>
Relational Databases - Benefits and Challenges]]> Tue, 04 Oct 2016 14:46:48 GMT /slideshow/relational-databases-benefits-and-challenges/66722488 ibelmopan@slideshare.net(ibelmopan) Relational Databases - Benefits and Challenges ibelmopan Relational Databases - Benefits and Challenges <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/untitledpresentation-161004144649-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Relational Databases - Benefits and Challenges
Relational Databases - Benefits and Challenges from Elvis Saravia
]]> 245 2 https://cdn.slidesharecdn.com/ss_thumbnails/untitledpresentation-161004144649-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Subconscious Crowdsourcing: A Feasible Data Collection Mechanism for Mental Disorder Detection on Social Media /slideshow/subconscious-crowdsourcing-a-feasible-data-collection-mechanism-for-mental-disorder-detection-on-social-media/66722070 subconsciouscrowdsourcing-afeasibledatacollectionmechanismformentaldisorderdetectiononsocialmedia-161004143744
Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge of mental disorders is that they are difficult to detect on suffering patients, thus presenting an alarming number of undetected cases and misdiagnosis. In this paper, we aim at building predictive models that leverage language and behavioral patterns, used particularly in social media, to determine whether a user is suffering from two cases of mental disorder. These predictive models are made possible by employing a novel data collection process, coined as Subconscious Crowdsourcing, which helps to collect a faster and more reliable dataset of patients. Our experiments suggest that extracting specific language patterns and social interaction features from reliable patient datasets can greatly contribute to further analysis and detection of mental disorders.]]>
Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge of mental disorders is that they are difficult to detect on suffering patients, thus presenting an alarming number of undetected cases and misdiagnosis. In this paper, we aim at building predictive models that leverage language and behavioral patterns, used particularly in social media, to determine whether a user is suffering from two cases of mental disorder. These predictive models are made possible by employing a novel data collection process, coined as Subconscious Crowdsourcing, which helps to collect a faster and more reliable dataset of patients. Our experiments suggest that extracting specific language patterns and social interaction features from reliable patient datasets can greatly contribute to further analysis and detection of mental disorders.]]> Tue, 04 Oct 2016 14:37:44 GMT /slideshow/subconscious-crowdsourcing-a-feasible-data-collection-mechanism-for-mental-disorder-detection-on-social-media/66722070 ibelmopan@slideshare.net(ibelmopan) Subconscious Crowdsourcing: A Feasible Data Collection Mechanism for Mental Disorder Detection on Social Media ibelmopan Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge of mental disorders is that they are difficult to detect on suffering patients, thus presenting an alarming number of undetected cases and misdiagnosis. In this paper, we aim at building predictive models that leverage language and behavioral patterns, used particularly in social media, to determine whether a user is suffering from two cases of mental disorder. These predictive models are made possible by employing a novel data collection process, coined as Subconscious Crowdsourcing, which helps to collect a faster and more reliable dataset of patients. Our experiments suggest that extracting specific language patterns and social interaction features from reliable patient datasets can greatly contribute to further analysis and detection of mental disorders. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/subconsciouscrowdsourcing-afeasibledatacollectionmechanismformentaldisorderdetectiononsocialmedia-161004143744-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Mental disorders are currently affecting millions of people from different cultures, age groups and geographic regions. The challenge of mental disorders is that they are difficult to detect on suffering patients, thus presenting an alarming number of undetected cases and misdiagnosis. In this paper, we aim at building predictive models that leverage language and behavioral patterns, used particularly in social media, to determine whether a user is suffering from two cases of mental disorder. These predictive models are made possible by employing a novel data collection process, coined as Subconscious Crowdsourcing, which helps to collect a faster and more reliable dataset of patients. Our experiments suggest that extracting specific language patterns and social interaction features from reliable patient datasets can greatly contribute to further analysis and detection of mental disorders.
Subconscious Crowdsourcing: A Feasible Data Collection Mechanism for Mental Disorder Detection on Social Media from Elvis Saravia
]]> 239 6 https://cdn.slidesharecdn.com/ss_thumbnails/subconsciouscrowdsourcing-afeasibledatacollectionmechanismformentaldisorderdetectiononsocialmedia-161004143744-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ibelmopan-48x48.jpg?cb=1600955713 Doctoral Researcher on NLP, AI, and Data Mining elvissaravia.com/ https://cdn.slidesharecdn.com/ss_thumbnails/thefutureofbrain-poweredlearningbci-final-180111014609-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-future-of-brainpowered-learning/85998387 The Future of Brain-Po... https://cdn.slidesharecdn.com/ss_thumbnails/introductiontofundamentalsofrnns-171224042158-thumbnail.jpg?width=320&height=320&fit=bounds ibelmopan/introduction-to-fundamentals-of-rnns Introduction to Fundam... https://cdn.slidesharecdn.com/ss_thumbnails/textmininglabsummer20171-170725035721-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/text-mining-lab-summer-2017-word-vector-representation/78219293 Text mining lab (summe...