<![CDATA[UMBC ebiquity RSS Tag Search]]> <![CDATA[Topic Modeling for RDF Graphs]]> http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs 2015-09-21 <![CDATA[Taming Wild Big Data]]> http://ebiquity.umbc.edu/event/html/id/473/Taming-Wild-Big-Data 2014-11-12 <![CDATA[Social media analytics]]> http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics 2010-10-12 <![CDATA[Clustering short status messages: a topic model based approach]]> http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach 2010-07-26 <![CDATA[Modelling the evolution of climate change research]]> http://ebiquity.umbc.edu/project/html/id/108/Modelling-the-evolution-of-climate-change-research 2015-01-01 <![CDATA[Understanding Cybersecurity Threat Trends through Dynamic Topic Modeling]]> http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling 2021-06-01 <![CDATA[A Discrete Variational Recurrent Topic Model without the Reparametrization Trick]]> http://ebiquity.umbc.edu/paper/html/id/956/A-Discrete-Variational-Recurrent-Topic-Model-without-the-Reparametrization-Trick 2020-12-06 <![CDATA[A Semantically Rich Framework for Knowledge Representation of Code of Federal Regulations (CFR)]]> http://ebiquity.umbc.edu/paper/html/id/963/A-Semantically-Rich-Framework-for-Knowledge-Representation-of-Code-of-Federal-Regulations-CFR- 2020-12-01 <![CDATA[Temporal Understanding of Cybersecurity Threats]]> http://ebiquity.umbc.edu/paper/html/id/888/Temporal-Understanding-of-Cybersecurity-Threats 2020-05-25 <![CDATA[Variational Autoencoders using D-Wave Quantum Annealing]]> http://ebiquity.umbc.edu/paper/html/id/869/Variational-Autoencoders-using-D-Wave-Quantum-Annealing 2018-12-10 <![CDATA[Ontology-Grounded Topic Modeling for Climate Science Research]]> http://ebiquity.umbc.edu/paper/html/id/831/Ontology-Grounded-Topic-Modeling-for-Climate-Science-Research 2018-10-08 <![CDATA[Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling]]> http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling 2017-12-11 <![CDATA[Dynamic Data Assimilation for Topic Modeling (DDATM)]]> http://ebiquity.umbc.edu/paper/html/id/815/Dynamic-Data-Assimilation-for-Topic-Modeling-DDATM- 2017-07-31 <![CDATA[Modeling the Evolution of Climate Change Assessment Research Using Dynamic Topic Models and Cross-Domain Divergence Maps]]> http://ebiquity.umbc.edu/paper/html/id/770/Modeling-the-Evolution-of-Climate-Change-Assessment-Research-Using-Dynamic-Topic-Models-and-Cross-Domain-Divergence-Maps 2017-03-27 <![CDATA[Advanced Large Scale Cross Domain Temporal Topic Modeling Algorithms to Infer the Influence of Recent Research on IPCC Assessment Reports]]> http://ebiquity.umbc.edu/paper/html/id/769/Advanced-Large-Scale-Cross-Domain-Temporal-Topic-Modeling-Algorithms-to-Infer-the-Influence-of-Recent-Research-on-IPCC-Assessment-Reports 2016-12-12