Jose Cadena

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Anil Vullikanti (V. S. Anil Kumar)University of VirginiaE-mail confirmado em virginia.edu
Achla MaratheProfessor, University of VirginiaE-mail confirmado em virginia.edu
Naren RamakrishnanThomas L. Phillips Professor, Virginia TechE-mail confirmado em cs.vt.edu
Gizem KorkmazWestatE-mail confirmado em westat.com
Chris J. KuhlmanBiocomplexity Institute and Initiative, University of VirginiaE-mail confirmado em virginia.edu
Feng ChenDepartment of Computer Science, UT DallasE-mail confirmado em utdallas.edu
Maleq KhanTexas A&M University - KingsvilleE-mail confirmado em tamuk.edu
Saliya Ekanayake, Ph.D.Senior Software Engineer, MicrosoftE-mail confirmado em microsoft.com
Yaser KeneshlooVirginia TechE-mail confirmado em vt.edu
Parang SarafStaff Machine Learning Scientist @  AppleE-mail confirmado em apple.com
Patrick ButlerVirginia TechE-mail confirmado em vt.edu
Rupinder Paul KhandpurSoftware Engineer, Machine Learning - Meta PlatformsE-mail confirmado em vt.edu
Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechE-mail confirmado em vt.edu
Sathappan MuthiaheBay IncE-mail confirmado em vt.edu
Liang ZhaoEmory UniversityE-mail confirmado em emory.edu
Dipak K. GuptaProfessor Emeritus, political Science San Diego State UniversityE-mail confirmado em mail.sdsu.edu
David MaresProfessor of Political Science, University of California, San DiegoE-mail confirmado em ucsd.edu
jaime arredondoUniversity of California, San Diego. Phd Candidate.E-mail confirmado em ucsd.edu
Alla RozovskayaAssociate Professor, Queens College, CUNYE-mail confirmado em qc.cuny.edu
Arinjoy BasakPhD student, Computer Science, Virginia TechE-mail confirmado em vt.edu

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Jose Cadena

Research Staff Member, Machine Learning Group, Lawrence Livermore National Laboratory

E-mail confirmado em vt.edu

machine learning graph algorithms anomaly detection approximation algorithms


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'Beating the news' with EMBERS: forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	307	2014
Tissue-specific extracellular matrix accelerates the formation of neural networks and communities in a neuron-glia co-culture on a multi-electrode array D Lam, HA Enright, J Cadena, SKG Peters, AP Sales, JJ Osburn, ... Scientific reports 9 (1), 4159, 2019	189	2019
Forecasting social unrest using activity cascades J Cadena, G Korkmaz, CJ Kuhlman, A Marathe, N Ramakrishnan, ... PloS one 10 (6), e0128879, 2015	85	2015
Combining heterogeneous data sources for civil unrest forecasting G Korkmaz, J Cadena, CJ Kuhlman, A Marathe, A Vullikanti, ... Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015	62	2015
Detecting and forecasting domestic political crises: A graph-based approach Y Keneshloo, J Cadena, G Korkmaz, N Ramakrishnan Proceedings of the 2014 ACM conference on Web science, 192-196, 2014	54	2014
Optimizing cell encapsulation condition in ECM-Collagen I hydrogels to support 3D neuronal cultures D Lam, HA Enright, SKG Peters, ML Moya, DA Soscia, J Cadena, ... Journal of neuroscience methods 329, 108460, 2020	51	2020
EMBERS at 4 years: Experiences operating an open source indicators forecasting system S Muthiah, P Butler, RP Khandpur, P Saraf, N Self, A Rozovskaya, L Zhao, ... Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	51	2016
Functional and transcriptional characterization of complex neuronal co-cultures HA Enright, D Lam, A Sebastian, AP Sales, J Cadena, NR Hum, ... Scientific reports 10 (1), 11007, 2020	39	2020
On dense subgraphs in signed network streams J Cadena, AK Vullikanti, CC Aggarwal 2016 IEEE 16th International Conference on Data Mining (ICDM), 51-60, 2016	34	2016
Agent-based computational epidemiological modeling KR Bissett, J Cadena, M Khan, CJ Kuhlman Journal of the Indian Institute of Science, 1-25, 2021	29	2021
Graph anomaly detection based on Steiner connectivity and density J Cadena, F Chen, A Vullikanti Proceedings of the IEEE 106 (5), 829-845, 2018	27	2018
Multi-source models for civil unrest forecasting G Korkmaz, J Cadena, CJ Kuhlman, A Marathe, A Vullikanti, ... Social Network Analysis and Mining 6 (1), 1-25, 2016	21	2016
Near-optimal and practical algorithms for graph scan statistics J Cadena, F Chen, A Vullikanti Proceedings of the 2017 SIAM International Conference on Data Mining, 624-632, 2017	20	2017
Discovery of under immunized spatial clusters using network scan statistics J Cadena, D Falcone, A Marathe, A Vullikanti BMC medical informatics and decision making 19, 1-14, 2019	18	2019
Detection of spatiotemporal prescription opioid hot spots with network scan statistics: multistate analysis A Basak, J Cadena, A Marathe, A Vullikanti JMIR public health and surveillance 5 (2), e12110, 2019	13	2019
Near-optimal and practical algorithms for graph scan statistics with connectivity constraints J Cadena, F Chen, A Vullikanti ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (2), 1-33, 2019	13	2019
Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients S Nguyen, R Chan, J Cadena, B Soper, P Kiszka, L Womack, M Work, ... Scientific Reports 11 (1), 19543, 2021	10	2021
An integrated agent-based approach for modeling disease spread in large populations to support health informatics K Bissett, J Cadena, M Khan, CJ Kuhlman, B Lewis, PA Telionis 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016	9	2016
Modeling the temporal network dynamics of neuronal cultures J Cadena, AP Sales, D Lam, HA Enright, EK Wheeler, NO Fischer PLoS Computational Biology 16 (5), e1007834, 2020	7	2020
Midas: Multilinear detection at scale S Ekanayake, J Cadena, U Wickramasinghe, A Vullikanti Journal of Parallel and Distributed Computing 132, 363-382, 2019	7	2019

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