| 2026 | ANT | Causal Discovery for Explainable AI: A Dual-Encoding Approach. | Henry Salgado, Meagan R. Kendall, Martine Ceberio |
| 2024 | ACSSC | Machine Learning-Based Screening for Pediatric Hip Dysplasia: Towards a Validated Approach. | Mara L. Reyna Cruz, Ricardo Tabares, Martine Ceberio, Vladik Kreinovich, Christoph Quirin Lauter, Cecilia A. Mrquez Barraza |
| 2024 | ACSSC | Logarithmic Format for Quantization on Forward Passes with High Accuracy. | Kristalys Ruiz-Rohena, Mayra Robles, Johnatan Garcia, Martine Ceberio, Christoph Quirin Lauter |
| 2024 | SMC | Towards an Optimal Design: What Can We Recommend to Elon Musk? | Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen |
| 2021 | SIGCSE | Reflecting on Reflection: Integrating Critical Thinking into CS Teaching and Learning Practice. | Sarah Hug, Martine Ceberio, Diego Aguirre, Scott King, Megan Thomas, Eliana Valenzuela, Tom Carter, Nayda G. Santiago |
| 2020 | IV | Let Us Use Negative Examples in Regression-Type Problems Too. | Jonatan M. Contreras, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio |
| 2019 | IFSA | Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? | Martine Ceberio, Olga Kosheleva, Vladik Kreinovich |
| 2019 | IFSA | Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance. | Leobardo Valera, Martine Ceberio, Vladik Kreinovich |
| 2017 | SMC | Towards predictions of large dynamic systems' behavior using reduced-order modeling and interval computations. | Leobardo Valera, Angel F. Garcia Contreras, Afshin Gholamy, Martine Ceberio, Horacio Florez |
| 2015 | FIE | Latinas' resilience and persistence in computer science and engineering: Preliminary findings of a qualitative study examining identity and agency. | Alberto Esquinca, Elsa Q. Villa, Elaine Hampton, Martine Ceberio, Luciene Wandermurem |
| 2015 | FlAIRS | On the Normalization of Interval-Based Possibility Distributions. | Salem Benferhat, Martine Ceberio, Vladik Kreinovich, Sylvain Lagrue, Karim Tabia |
| 2013 | IFSA | Towards fuzzy method for estimating prediction accuracy for discrete inputs, with application to predicting at-risk students. | Xiaojing Wang, Martine Ceberio, Angel F. Garcia Contreras |
| 2013 | IFSA | How to generate worst-case scenarios when testing already deployed systems against unexpected situations. | Francisco Zapata, Ricardo Pineda, Martine Ceberio |
| 2011 | SMC | Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots. | Jan Sliwka, Luc Jaulin, Martine Ceberio, Vladik Kreinovich |
| 2008 | SEKE | Integrating Random Testing with Constraints for Improved Efficiency and Diversity. | Yoonsik Cheon, Antonio Cortes, Gary T. Leavens, Martine Ceberio |
| 2007 | IFSA | From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty. | Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk, Barnabs Bede |
| 2006 | SAC | Editorial: track reliable computations and their applications. | Martine Ceberio, Vladik Kreinovich, Michel Rueher |
| 2006 | SAC | Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips. | Michael Orshansky, Wei-Shen Wang, Martine Ceberio, Gang Xiang |
| 2005 | SAC | Editorial: track reliable computations and their applications. | Martine Ceberio, Vladik Kreinovich, Michel Rueher |
| 2004 | ISAIM | Interval-Based Multicriteria Decision Making. | Martine Ceberio, Franois Modave |
| 2000 | AISC | Solving Nonlinear Systems by Constraint Inversion and Interval Arithmetic. | Martine Ceberio, Laurent Granvilliers |