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ORCIDL. Julián Lechuga López
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2020 – today
- 2026
[i7]L. Julián Lechuga López, Luis Lara:
The Invisibility Hypothesis: Promises of AGI and the Future of the Global South. CoRR abs/2603.01616 (2026)- [i6]Leopoldo Julian Lechuga López, Farah E. Shamout, Tim G. J. Rudner:
An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification. CoRR abs/2603.02719 (2026) - [i5]L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout:
Data-Driven Priors for Uncertainty-Aware Deterioration Risk Prediction with Multimodal Data. CoRR abs/2603.08459 (2026) - 2025
- [c5]Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga López, Krzysztof J. Geras, Farah E. Shamout:
MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans. CHIL 2025: 781-803 - [c4]Leopoldo Julian Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout:
Uncertainty Quantification for Machine Learning in Healthcare: A Survey. CHIL 2025: 862-907 - [i4]L. Julián Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout:
Uncertainty Quantification for Machine Learning in Healthcare: A Survey. CoRR abs/2505.02874 (2025) - [i3]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:
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR abs/2510.15217 (2025) - 2023
- [c3]Olga López Ríos, Leopoldo Julian Lechuga López:
The impact of Information and Communication Technologies on skills in remote education: A diversified approach to improve the assessment of competencies in higher education. ICDEL 2023: 21-29 - [c2]Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout:
Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives. TML4H 2023: 25-40 - [i2]Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout:
Privacy-preserving machine learning for healthcare: open challenges and future perspectives. CoRR abs/2303.15563 (2023) - [i1]L. Julián Lechuga López, Tim G. J. Rudner, Farah E. Shamout:
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification. CoRR abs/2312.00794 (2023) - 2021
- [c1]Olga López Ríos, Leopoldo Julian Lechuga López, Gisela Lechuga:
Bringing Industry to the Classroom Trough Virtual Reality: Enhancing Learning and the Undergraduate Experience. ICETT 2021: 7-11
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