Martine Ceberio

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 39

Top Topics

Abstract Argumentation Frameworks

Dynamical Systems

Organizing Committee

Top Venues

Publications

Martine Ceberio, Christoph Quirin Lauter, Vladik Kreinovich
Just-in-Accuracy: Mobile Approach to Uncertainty. J. Mobile Multimedia 20 (3) (2024)
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. NAFIPS (2023)
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. NAFIPS (2023)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory. NAFIPS (2023)
Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. SSCI (2023)
Phuoc Nguyen Kim, Jonatan M. Contreras, Martine Ceberio, Nguyen Ngoc Thach
Economic and Financial Applications of Benford's Law: from Traditional Use in Audits to Help in Deep Learning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31 (Supplement-2) (2023)
Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI (2023)
Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance. NAFIPS (2023)
Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
When is deep learning better and when is shallow learning better: qualitative analysis. Int. J. Parallel Emergent Distributed Syst. 37 (5) (2022)
Jonatan M. Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Why neural networks in the first place: a theoretical explanation. J. Intell. Fuzzy Syst. 43 (6) (2022)
Angel F. Garcia Contreras, Martine Ceberio
Comparison of Higher-Order Approximations to Solve Dynamical Systems Using Interval Constraint Solving. WEA (2022)
Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? NAFIPS (2021)
Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality. Entropy 23 (6) (2021)
Angel Fernando Garcia Contreras, Martine Ceberio
Solving Dynamical Systems Using Windows of Sliding Subproblems. WEA (2021)
Sarah Hug, Martine Ceberio, Diego Aguirre, Scott King, Megan Thomas, Eliana Valenzuela, Tom Carter, Nayda Santiago
Reflecting on Reflection: Integrating Critical Thinking into CS Teaching and Learning Practice. SIGCSE (2021)
Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich
How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed. NAFIPS (2020)
Vladik Kreinovich, Martine Ceberio, Olga Kosheleva
White- and Black-Box Computing and Measurements Under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies - Robotic Boat and Hierarchical Covid Testing. ICTES (2020)
Jonatan Contretas, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio
Let Us Use Negative Examples in Regression-Type Problems Too. IV (2020)
Leobardo Valera, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Equations for Which Newton's Method Never Works: Pedagogical Examples. NAFIPS (2020)
Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples. NAFIPS (2020)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Optimal Search Under Constraints. NAFIPS (2020)
Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time. Int. J. Unconv. Comput. 15 (3) (2020)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible. FUZZ-IEEE (2019)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates. FUZZ-IEEE (2019)
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? IFSA/NAFIPS (2019)
Vladik Kreinovich, Martine Ceberio, Ricardo Alvarez
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility. SSCI (2019)
Omeiza Olumoye, Glen Throneberry, Angel F. Garcia Contreras, Leobardo Valera, Abdessattar Abdelkefi, Martine Ceberio
Solving Large Dynamical Systems by Constraint Sampling. WEA (2019)
Leobardo Valera, Martine Ceberio, Vladik Kreinovich
Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance. IFSA/NAFIPS (2019)
Oscar Galindo, Christian Ayub, Martine Ceberio, Vladik Kreinovich
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning. SSCI (2019)
Leobardo Valera, Angel F. Garcia Contreras, Martine Ceberio
"On-the-fly" Parameter Identification for Dynamic Systems Control, Using Interval Computations and Reduced-Order Modeling. NAFIPS (2017)
Leobardo Valera, Angel F. Garcia Contreras, Afshin Gholamy, Martine Ceberio, Horacio Florez
Towards predictions of large dynamic systems' behavior using reduced-order modeling and interval computations. SMC (2017)
Martine Ceberio, Vladik Kreinovich
Greetings from NAFIPS 2016 organizing committee chairs. NAFIPS (2016)
Angel F. Garcia Contreras, Martine Ceberio
Comparison of strategies for solving global optimization problems using speculation and interval computations. NAFIPS (2016)
Anthony Welte, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
Robust data processing in the presence of uncertainty and outliers: Case of localization problems. SSCI (2016)
Leobardo Valera, Martine Ceberio
Using Interval Constraint Solving Techniques to better understand and predict future behaviors of dynamic problems. NAFIPS (2016)
Salem Benferhat, Martine Ceberio, Vladik Kreinovich, Sylvain Lagrue, Karim Tabia
On the Normalization of Interval-Based Possibility Distributions. FLAIRS Conference (2015)
Martine Ceberio, Leobardo Valera, Olga Kosheleva, Rodrigo Romero
Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs). NAFIPS/WConSC (2015)
Alberto Esquinca, Elsa Q. Villa, Elaine Hampton, Martine Ceberio, Luciene Wandermurem
Latinas' resilience and persistence in computer science and engineering: Preliminary findings of a qualitative study examining identity and agency. FIE (2015)
Martine Ceberio, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Rujira Ouncharoen
What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard. SSCI (2015)
Stefano Bistarelli, Martine Ceberio, Joel A. Henderson, Francesco Santini
Abstract argumentation frameworks to promote fairness and rationality in multi-experts multi-criteria decision making. ICTCS (2014)
Quentin Brefort, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable. CIES (2014)
Francisco Zapata, Ricardo Pineda, Martine Ceberio
How to generate worst-case scenarios when testing already deployed systems against unexpected situations. IFSA/NAFIPS (2013)
Xiaojing Wang, Martine Ceberio, Angel F. Garcia Contreras
Towards fuzzy method for estimating prediction accuracy for discrete inputs, with application to predicting at-risk students. IFSA/NAFIPS (2013)
Xiaojing Wang, Angel F. Garcia Contreras, Martine Ceberio, Christian Del Hoyo, Luis C. Gutierrez
A speculative algorithm to extract fuzzy measures from sample data. FUZZ-IEEE (2012)
Tanja Magoc, Xiaojing Wang, François Modave, Martine Ceberio
Applications of Fuzzy Measures and Intervals in Finance. Reliab. Comput. 15 (4) (2011)
Martine Ceberio, Vladik Kreinovich
No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow. MICAI (2) (2011)
Jan Sliwka, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots. SMC (2011)
Tanja Magoc, Martine Ceberio, François Modave
Using Preference Constraints to Solve Multi-Criteria Decision Making Problems. Reliab. Comput. 15 (3) (2011)
Martine Ceberio, Vladik Kreinovich
SCAN 2008 Guest editors preface. Reliab. Comput. 15 (1) (2011)
Vladik Kreinovich, Christelle Jacob, Didier Dubois, Janette Cardoso, Martine Ceberio, Ildar Z. Batyrshin
Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance. MICAI (2) (2011)
Olga Kosheleva, Martine Ceberio
Why polynomial formulas in soft computing, decision making, etc.? FUZZ-IEEE (2010)
Aline Jaimes, Craig E. Tweedie, Tanja Magoc, Vladik Kreinovich, Martine Ceberio
Multi-objective optimization under positivity constraints, with a meteorological example. FUZZ-IEEE (2010)
Carlos Acosta, Martine Ceberio, Christian Servin
A Constraint-Based Approach to Verification of Programs with Floating-Point Numbers. Software Engineering Research and Practice (2008)
François Modave, Martine Ceberio, Vladik Kreinovich
Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification. MICAI (2008)
Yoonsik Cheon, Antonio Cortes, Gary T. Leavens, Martine Ceberio
Integrating Random Testing with Constraints for Improved Efficiency and Diversity. SEKE (2008)
Chandra Sekhar Pedamallu, Linet Özdamar, Martine Ceberio
Efficient interval partitioning - Local search collaboration for constraint satisfaction. Comput. Oper. Res. 35 (5) (2008)
Christian Servin, Martine Ceberio
Cascade Vulnerability Problem Simulator Tool. MSV (2008)
Gang Xiang, Martine Ceberio, Vladik Kreinovich
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms. Reliab. Comput. 13 (6) (2007)
Daniel Berleant, Martine Ceberio, Gang Xiang, Vladik Kreinovich
Towards adding probabilities and correlations to interval computations. Int. J. Approx. Reason. 46 (3) (2007)
Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk, Barnabás Bede
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty. IFSA (1) (2007)
Michael Orshansky, Wei-Shen Wang, Martine Ceberio, Gang Xiang
Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips. SAC (2006)
Martine Ceberio, Vladik Kreinovich, Michel Rueher
Editorial: track reliable computations and their applications. SAC (2006)
Vladik Kreinovich, Gang Xiang, Scott A. Starks, Luc Longpré, Martine Ceberio, Roberto Araiza, Jan Beck, Raj Kandathi, Asis Nayak, Roberto Torres, Janos G. Hajagos
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity. Reliab. Comput. 12 (6) (2006)
Martine Ceberio, Vladik Kreinovich, Michel Rueher
Reliable Computations and Their Applications (RCA) Track. Reliab. Comput. 11 (6) (2005)
Martine Ceberio, Hiroshi Hosobe, Ken Satoh
Speculative Constraint Processing with Iterative Revision for Disjunctive Answers. CLIMA (2005)
Martine Ceberio, Vladik Kreinovich, Michel Rueher
Editorial: track reliable computations and their applications. SAC (2005)
Martine Ceberio, François Modave, Xiaojing Wang
Comparing Attacks: An Approach Based on Interval Computation and Fuzzy Integration. FUZZ-IEEE (2005)
Martine Ceberio, Richard Coy
Enhancement of Parameter Estimation using Flexible Constraints: an Application to Shock-response Study. AMCS (2005)
Martine Ceberio, François Modave
Interval-Based Multicriteria Decision Making. AI&M (2004)
Martine Ceberio, Vladik Kreinovich
Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm). Reliab. Comput. 10 (3) (2004)
Martine Ceberio, Vladik Kreinovich
Greedy algorithms for optimizing multivariate Horner schemes. SIGSAM Bull. 38 (1) (2004)
Martine Ceberio, Vladik Kreinovich, Lev Ginzburg
On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?. PARA (2004)
Martine Ceberio, Laurent Granvilliers
Horner's Rule for Interval Evaluation Revisited. Computing 69 (1) (2002)
Martine Ceberio, Laurent Granvilliers
Solving Nonlinear Equations by Abstraction, Gaussian Elimination, and Interval Methods. FroCoS (2002)
Martine Ceberio, Laurent Granvilliers
Résolution de systèmes non linéaires par inversion des contraintes et analyse par intervalles. JFPLC (2000)
Martine Ceberio, Laurent Granvilliers
Solving Nonlinear Systems by Constraint Inversion and Interval Arithmetic. AISC (2000)