L. Julián Lechuga López

According to our database, L. Julián Lechuga López authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data.

L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout

CoRR, March, 2026

An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification.

Leopoldo Julian Lechuga López, Farah E. Shamout, Tim G. J. Rudner

CoRR, March, 2026

The Invisibility Hypothesis: Promises of AGI and the Future of the Global South.

L. Julián Lechuga López, Luis Lara

CoRR, March, 2026

2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

Uncertainty Quantification for Machine Learning in Healthcare: A Survey.

Leopoldo Julian Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout

Proceedings of the Conference on Health, 2025

MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans.

Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga López, Krzysztof J. Geras, Farah E. Shamout

Proceedings of the Conference on Health, 2025

2023

Informative Priors Improve the Reliability of Multimodal Clinical Data Classification.

L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout

CoRR, 2023

Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives.

Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

The impact of Information and Communication Technologies on skills in remote education: A diversified approach to improve the assessment of competencies in higher education.

Olga López Ríos, Leopoldo Julian Lechuga López

Proceedings of the 2023 8th International Conference on Distance Education and Learning, 2023

2021

Bringing Industry to the Classroom Trough Virtual Reality: Enhancing Learning and the Undergraduate Experience.

Olga López Ríos, Leopoldo Julian Lechuga López, Gisela Lechuga

Proceedings of the ICETT 2021: 7th International Conference on Education and Training Technologies, Macau, China, April 14, 2021