Hugo M. P. Morales

According to our database, Hugo M. P. Morales authored at least 4 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs.

Rachel Adams, Fola Adeleke, Leah Junck, Ayantola Alayande, Aarushi Gupta, Urvashi Aneja, Samuel T. Segun, Rosalind Parkes-Ratanshi, Selam Abdella, Mark Gaffley, Scott Mahoney, Rirhandzu Makamu, Nana Eghele Adade, Liping Bian, Timothy Kintu, Atwine Mugume, Aline Germani, Michelle El Kawak, Bheeshma Patel, Olanrewaju Lawa, Sara Khalid, Olubayo Adekanmbi, Rasheedat Sikiru, Toyib Ogunremi, Farhan Yusuf, Hanna Minaye, Imo Etuk, Jimmy Nsenga, Uma Urs, Marzia Zaman, Khondaker Abdullah Al Mamun, Vivian Resende, Pedro Henrique Faria Silva Trocoli-Couto, Rositsa Zaimova, Mamadou Alpha Diallo, Nana Kofi Quakyi, Xiao Fan Liu, Daudi Jjingo, Imad Elhajj, Joyce Nakatumba-Nabende, Tamlyn Eslie Roman, Maryam Mustafa, Brenda Hendry, Yogesh Hooda, Chinazo Anebelundu, Bishesh Khanal, Faisal Sultan, Nirmal Ravi, Darlington Akogo, Zameer Brey, Dave Cohen, Joshua Proctor, Essa Mohamedali, Nneka Mobisson, Amelia V. Taylor, Joao Archegas, Amrita Mahale, Neal Lesh, Enrica Duncan, Theofrida J. Maginga, Hugo M. P. Morales, Henrique Dias Pereira dos Santos, Tue Vo, Trang TH Nguyen, Robert Korom, Michael Leventhal, Shashi Jain, Livia Maria de Oliveira Ciabati, Praveen Devarsetty, Jane Hirst, Ankita Sharma, Moinul Chowdhury, Henrique Araujo Lima, Caroline Govathson, Sarah Morris

Nat. Comput. Sci., May, 2026

2022

Clinical Deterioration Prediction in Brazilian Hospitals Based on Artificial Neural Networks and Tree Decision Models.

Hamed Yazdanpanah, Augusto C. M. Silva, Murilo Guedes, Hugo M. P. Morales, Leandro dos Santos Coelho, Fernando G. Moro

CoRR, 2022

2021

COVID-19 in Brazil - Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities.

Hugo M. P. Morales, Murilo Guedes, Jennifer S. Silva, Adriano Massuda

Frontiers Digit. Health, 2021

2020

A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals.

Jhonatan Kobylarz Ribeiro, Henrique D. P. dos Santos, Felipe Barletta, Mateus Cichelero da Silva, Renata Vieira, Hugo M. P. Morales, Cristian da Costa Rocha

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020