Jose Cadena

According to our database, Jose Cadena authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Comparative study of machine learning techniques for post-combustion carbon capture systems.

Yeping Hu, Bo Lei, Yash Girish Shah, Jose Cadena, Amar Saini, Grigorios Panagakos, Phan Nguyen

Frontiers Artif. Intell., 2024

2023

Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics.

Brian R. Bartoldson, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen

CoRR, 2023

2022

Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors.

Braden C. Soper, Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Paul Kiszka, Lucas Aaron Womack, Mark Work, Joan M. Duggan, Steven T. Haller, Jennifer A. Hanrahan, David J. Kennedy, Deepa Mukundan, Priyadip Ray

J. Am. Medical Informatics Assoc., 2022

Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling.

Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks.

Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn

IEEE Trans. Signal Process., 2021

End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data.

Alexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks.

Jose Cadena, Priyadip Ray, Ryan A. Goldhahn

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Modeling the temporal network dynamics of neuronal cultures.

Jose Cadena, Ana Paula Sales, Doris Lam, Heather A. Enright, Elizabeth K. Wheeler, Nicholas O. Fischer

PLoS Comput. Biol., 2020

Critical Spatial Clusters for Vaccine Preventable Diseases.

Jose Cadena, Achla Marathe, Anil Vullikanti

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination.

Jose Cadena, Achla Marathe, Anil Vullikanti

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints.

Jose Cadena, Feng Chen, Anil Vullikanti

ACM Trans. Knowl. Discov. Data, 2019

Discovery of under immunized spatial clusters using network scan statistics.

Jose Cadena, David Falcone, Achla Marathe, Anil Vullikanti

BMC Medical Informatics Decis. Mak., 2019

MIDAS: Multilinear detection at scale.

Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti

J. Parallel Distributed Comput., 2019

Collaborative Inference Of Missing Smart Electric Meter Data For A Building.

Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018

Finding Interesting Subgraphs with Guarantees.

Jose Cadena

PhD thesis, 2018

Graph Anomaly Detection Based on Steiner Connectivity and Density.

Jose Cadena, Feng Chen, Anil Vullikanti

Proc. IEEE, 2018

Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications.

Jose Cadena, Anil Vullikanti

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Graph Scan Statistics With Uncertainty.

Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Context-aided analysis of community evolution in networks.

Giuliana Pallotta, Goran Konjevod, Jose Cadena, Phan Nguyen

Stat. Anal. Data Min., 2017

Near-Optimal and Practical Algorithms for Graph Scan Statistics.

Jose Cadena, Feng Chen, Anil Vullikanti

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Fast graph scan statistics optimization using algebraic fingerprints.

Jose Cadena, Saliya Ekanayake, Anil Vullikanti

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Multi-source models for civil unrest forecasting.

Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan

Soc. Netw. Anal. Min., 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.

Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

On Dense Subgraphs in Signed Network Streams.

Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

An integrated agent-based approach for modeling disease spread in large populations to support health informatics.

Keith Bissett, Jose Cadena, Maleq Khan, Chris J. Kuhlman, Bryan L. Lewis, Pyrros A. Telionis

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2015

Combining Heterogeneous Data Sources for Civil Unrest Forecasting.

Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Detecting and forecasting domestic political crises: a graph-based approach.

Yaser Keneshloo, Jose Cadena, Gizem Korkmaz, Naren Ramakrishnan

Proceedings of the ACM Web Science Conference, 2014

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.

Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014