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ORCIDJuan B. Gutierrez
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2020 – today
- 2025
[i5]Juan B. Gutierrez
:
A Mathematical Theory of Discursive Networks. CoRR abs/2507.06565 (2025)- [i4]Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang:
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR abs/2509.02661 (2025) - 2024
- [j4]Saeid Safaei, Zerotti Woods, Khaled Rasheed, Thiab R. Taha, Vahid Safaei, Juan B. Gutierrez, Hamid R. Arabnia:
SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency. IEEE Access 12: 73363-73375 (2024) - 2020
- [j3]Karen J. Gonzalez, Diego M. Moncada-Giraldo, Juan B. Gutierrez:
In silico identification of potential inhibitors against human 2'-5'- oligoadenylate synthetase (OAS) proteins. Comput. Biol. Chem. 85: 107211 (2020) - [j2]Jeremy D. DeBarry, Jessica C. Kissinger, Mustafa V. Nural, Suman B. Pakala, Jay C. Humphrey, Esmeralda V. S. Meyer, Regina Joice Cordy, Monica Cabrera-Mora, Elizabeth D. Trippe, Jacob B. Aguilar, Ebru Karpuzoglu, Yi H. Yan, Jessica A. Brady, Allison N. Hankus, Nicolas Lackman, Alan R. Gingle, Vishal Nayak, Alberto Moreno, Chester J. Joyner, Juan B. Gutierrez, Mary R. Galinski:
Practical Recommendations for Supporting a Systems Biology Cyberinfrastructure. Data Sci. J. 19: 24 (2020)
2010 – 2019
- 2018
- [i3]Saeid Safaei, Vahid Safaei, Solmazi Safaei, Zerotti Woods, Hamid R. Arabnia, Juan B. Gutierrez:
The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and Implementation. CoRR abs/1811.11813 (2018) - 2017
- [c2]Seyed Amin Pouriyeh, Sara Vahid, Giovanna Sannino, Giuseppe De Pietro, Hamid R. Arabnia, Juan B. Gutierrez:
A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease. ISCC 2017: 204-207 - [i2]Mehdi Allahyari, Seyed Amin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys J. Kochut:
Text Summarization Techniques: A Brief Survey. CoRR abs/1707.02268 (2017) - [i1]Mehdi Allahyari, Seyed Amin Pouriyeh, Mehdi Assefi, Saied Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys J. Kochut:
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques. CoRR abs/1707.02919 (2017)
2000 – 2009
- 2008
- [j1]Monica K. Hurdal, Juan B. Gutierrez, Christian Laing, Deborah A. Smith:
Shape analysis for automated sulcal classification and parcellation of MRI data. J. Comb. Optim. 15(3): 257-275 (2008) - [c1]Monica K. Hurdal, Juan B. Gutierrez, Christian Laing, Aaron D. Kline, Deborah A. Smith:
Geometric invariants for classificationof cortical sulci. ICIP 2008: 1156-1159
Coauthor Index
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