Martine Ceberio

125 papers A 1B 9C 3Misc 5Journal 19Unranked 45
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Discovery for Explainable AI: A Dual-Encoding Approach.
CoRR
Henry Salgado, Meagan R. Kendall, Martine Ceberio
2025 J jnl
Does the Model Say What the Data Says? A Simple Heuristic for Model Data Alignment.
CoRR
Henry Salgado, Meagan R. Kendall, Martine Ceberio
2025 — conf
Does the Model Say What the Data Says? A Simple Heuristic for Model-Data Alignment.
CALM
Henry Salgado, Meagan R. Kendall, Martine Ceberio
2024 J jnl
Just-in-Accuracy: Mobile Approach to Uncertainty.
J. Mobile Multimedia
Martine Ceberio, Christoph Quirin Lauter, Vladik Kreinovich
2024 — conf
Logarithmic Format for Quantization on Forward Passes with High Accuracy.
IEEECONF
Kristalys Ruiz-Rohena, Mayra Robles, Johnatan Garcia, Martine Ceberio, Christoph Quirin Lauter
2024 — conf
Machine Learning-Based Screening for Pediatric Hip Dysplasia: Towards a Validated Approach.
IEEECONF
María L. Reyna Cruz, Ricardo Tabares, Martine Ceberio, Vladik Kreinovich, Christoph Quirin Lauter, Cecilia A. Márquez Barraza
2024 B conf
Towards an Optimal Design: What Can We Recommend to Elon Musk?
SMC
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2023 — ch.
An Argument in Favor of Piecewise-Constant Membership Functions.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions.
NAFIPS
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer
2023 — ch.
Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm.
Uncertainty, Constraints, and Decision Making
Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — book
Decision Making Under Uncertainty and Constraints - A Why-Book
Decision Making Under Uncertainty and Constraints
Martine Ceberio, Vladik Kreinovich
2023 J jnl
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.
Phuoc Nguyen Kim, Jonatan M. Contreras, Martine Ceberio, Nguyen Ngoc Thach
2023 — ch.
Epistemic Versus Aleatory: Case of Interval Uncertainty.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set.
Uncertainty, Constraints, and Decision Making
Juan Carlos Figueroa García, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — conf
Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty.
NAFIPS
Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg
2023 — conf
How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance.
NAFIPS
Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Best Write Research Papers: Basic English? Sophisticated English?
Decision Making Under Uncertainty and Constraints
Martine Ceberio, Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression.
Uncertainty, Constraints, and Decision Making
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
How to Get the Most Accurate Measurement-Based Estimates.
Uncertainty, Constraints, and Decision Making
Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2023 — ch.
How to Select a Representative Sample for a Family of Functions?
Uncertainty, Constraints, and Decision Making
Leobardo Valera, Martine Ceberio, Vladik Kreinovich
2023 — conf
Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory.
NAFIPS
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
One More Physics-Based Explanation for Rectified Linear Neurons.
Uncertainty, Constraints, and Decision Making
Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Search Under Uncertainty Should be Randomized: A Lesson from the 2021 Nobel Prize in Medicine.
Uncertainty, Constraints, and Decision Making
Martine Ceberio, Vladik Kreinovich
2023 — ch.
Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Vladik Kreinovich
2023 — book
Uncertainty, Constraints, and Decision Making
Martine Ceberio, Vladik Kreinovich
2023 — conf
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation.
SSCI
Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Which Interval-Valued Alternatives Are Possibly Optimal if We Use Hurwicz Criterion.
Uncertainty, Constraints, and Decision Making
Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success.
Uncertainty, Constraints, and Decision Making
Barnabás Bede, Marina Tuyako Mizukoshi, Martine Ceberio, Vladik Kreinovich, Weldon A. Lodwick
2023 — conf
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation.
SSCI
Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023 — ch.
Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation.
Decision Making Under Uncertainty and Constraints
Julio C. Urenda, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023 — ch.
Why Model Order Reduction.
Decision Making Under Uncertainty and Constraints
Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2022 — conf
Comparison of Higher-Order Approximations to Solve Dynamical Systems Using Interval Constraint Solving.
WEA
Angel F. Garcia Contreras, Martine Ceberio
2022 — ed.
Fuzzy Information Processing 2020 - Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020, Redmond, WA, USA, 20-22 August 2020
NAFIPS
Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich
2022 J jnl
When is deep learning better and when is shallow learning better: qualitative analysis.
Int. J. Parallel Emergent Distributed Syst.
Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2022 J jnl
Why neural networks in the first place: a theoretical explanation.
J. Intell. Fuzzy Syst.
Jonatan M. Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2021 A conf
Reflecting on Reflection: Integrating Critical Thinking into CS Teaching and Learning Practice.
SIGCSE
Sarah Hug, Martine Ceberio, Diego Aguirre, Scott King, Megan Thomas, Eliana Valenzuela, Tom Carter, Nayda G. Santiago
2021 — conf
Solving Dynamical Systems Using Windows of Sliding Subproblems.
WEA
Angel Fernando Garcia Contreras, Martine Ceberio
2021 J jnl
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality.
Entropy
Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich
2021 — conf
Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?
NAFIPS
Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — ch.
Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas.
Decision Making under Constraints
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 — book
Decision Making under Constraints
Martine Ceberio, Vladik Kreinovich
2020 — conf
Equations for Which Newton's Method Never Works: Pedagogical Examples.
NAFIPS
Leobardo Valera, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — conf
How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.
NAFIPS
Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 — ch.
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints.
Decision Making under Constraints
Chitta Baral, Martine Ceberio, Vladik Kreinovich
2020 — ch.
How Quantum Computing Can Help with (Continuous) Optimization.
Decision Making under Constraints
Christian Ayub, Martine Ceberio, Vladik Kreinovich
2020 — conf
How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed.
NAFIPS
Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich
2020 J jnl
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time.
Int. J. Unconv. Comput.
Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich
2020 — ch.
Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable.
Decision Making under Constraints
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 C conf
Let Us Use Negative Examples in Regression-Type Problems Too.
IV
Jonatan M. Contreras, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio
2020 — conf
Optimal Search Under Constraints.
NAFIPS
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — ch.
Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation.
Decision Making under Constraints
Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich
2020 — ch.
Reverse Mathematics Is Computable for Interval Computations.
Decision Making under Constraints
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020 — ch.
When We Know the Number of Local Maxima, Then We Can Compute All of Them.
Decision Making under Constraints
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020 — conf
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
Vladik Kreinovich, Martine Ceberio, Olga Kosheleva
2020 — ch.
Why Burgers Equation: Symmetry-Based Approach.
Decision Making under Constraints
Leobardo Valera, Martine Ceberio, Vladik Kreinovich
2020 — ch.
Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread.
Decision Making under Constraints
Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich
2019 B conf
Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates.
FUZZ-IEEE
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
2019 — conf
Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?
IFSA/NAFIPS
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2019 — conf
Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance.
IFSA/NAFIPS
Leobardo Valera, Martine Ceberio, Vladik Kreinovich
2019 — conf
Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning.
SSCI
Oscar Galindo, Christian Ayub, Martine Ceberio, Vladik Kreinovich
2019 — ed.
Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019 (Lafayette, Louisiana, USA, June 18-21, 2019)
IFSA/NAFIPS
Ralph Baker Kearfott, Ildar Z. Batyrshin, Marek Z. Reformat, Martine Ceberio, Vladik Kreinovich
2019 — conf
How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility.
SSCI
Vladik Kreinovich, Martine Ceberio, Ricardo Alvarez
2019 B conf
In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible.
FUZZ-IEEE
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
2019 — conf
Solving Large Dynamical Systems by Constraint Sampling.
WEA
Omeiza Olumoye, Glen Throneberry, Angel F. Garcia Contreras, Leobardo Valera, Abdessattar Abdelkefi, Martine Ceberio
2017 — conf
"On-the-fly" Parameter Identification for Dynamic Systems Control, Using Interval Computations and Reduced-Order Modeling.
NAFIPS
Leobardo Valera, Angel F. Garcia Contreras, Martine Ceberio
2017 B conf
Towards predictions of large dynamic systems' behavior using reduced-order modeling and interval computations.
SMC
Leobardo Valera, Angel F. Garcia Contreras, Afshin Gholamy, Martine Ceberio, Horacio Florez
2016 — conf
Comparison of strategies for solving global optimization problems using speculation and interval computations.
NAFIPS
Angel F. Garcia Contreras, Martine Ceberio
2016 — conf
Greetings from NAFIPS 2016 organizing committee chairs.
NAFIPS
Martine Ceberio, Vladik Kreinovich
2016 — conf
Robust data processing in the presence of uncertainty and outliers: Case of localization problems.
SSCI
Anthony Welte, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
2016 — conf
Using Interval Constraint Solving Techniques to better understand and predict future behaviors of dynamic problems.
NAFIPS
Leobardo Valera, Martine Ceberio
2015 C conf
Latinas' resilience and persistence in computer science and engineering: Preliminary findings of a qualitative study examining identity and agency.
FIE
Alberto Esquinca, Elsa Q. Villa, Elaine Hampton, Martine Ceberio, Luciene Wandermurem
2015 — conf
Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs).
NAFIPS/WConSC
Martine Ceberio, Leobardo Valera, Olga Kosheleva, Rodrigo Romero
2015 Misc conf
On the Normalization of Interval-Based Possibility Distributions.
FLAIRS
Salem Benferhat, Martine Ceberio, Vladik Kreinovich, Sylvain Lagrue, Karim Tabia
2015 — conf
What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard.
SSCI
Martine Ceberio, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Rujira Ouncharoen
2014 — conf
Abstract argumentation frameworks to promote fairness and rationality in multi-experts multi-criteria decision making.
ICTCS
Stefano Bistarelli, Martine Ceberio, Joel A. Henderson, Francesco Santini
2014 — ch.
Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.
Constraint Programming and Decision Making
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2014 — book
Constraint Programming and Decision Making
Martine Ceberio, Vladik Kreinovich
2014 — ch.
Constraint-Related Reinterpretation of Fundamental Physical Equations Can Serve as a Built-In Regularization.
Constraint Programming and Decision Making
Vladik Kreinovich, Juan Ferret, Martine Ceberio
2014 — ch.
Continuous If-Then Statements Are Computable.
Constraint Programming and Decision Making
Martine Ceberio, Vladik Kreinovich
2014 — conf
If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable.
CIES
Quentin Brefort, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
2014 — ch.
Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization.
Constraint Programming and Decision Making
Aline Jaimes, Craig Tweedy, Tanja Magoc, Vladik Kreinovich, Martine Ceberio
2014 — ch.
Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying.
Constraint Programming and Decision Making
Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2014 — ch.
Towards an Efficient Bisection of Ellipsoids.
Constraint Programming and Decision Making
Paden Portillo, Martine Ceberio, Vladik Kreinovich
2014 — ch.
Why Curvature in L-Curve: Combining Soft Constraints.
Constraint Programming and Decision Making
Uram Anibal Sosa Aguirre, Martine Ceberio, Vladik Kreinovich
2014 — ch.
Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited.
Constraint Programming and Decision Making
Karen Villaverde, Olga Kosheleva, Martine Ceberio
2014 — ch.
Why Tensors?
Constraint Programming and Decision Making
Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2013 — ch.
How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies.
Time Series Analysis, Modeling and Applications
Christian Servin, Martine Ceberio, Aline Jaimes, Craig E. Tweedie, Vladik Kreinovich
2013 — conf
How to generate worst-case scenarios when testing already deployed systems against unexpected situations.
IFSA/NAFIPS
Francisco Zapata, Ricardo Pineda, Martine Ceberio
2013 — conf
Towards fuzzy method for estimating prediction accuracy for discrete inputs, with application to predicting at-risk students.
IFSA/NAFIPS
Xiaojing Wang, Martine Ceberio, Angel F. Garcia Contreras
2012 B conf
A speculative algorithm to extract fuzzy measures from sample data.
FUZZ-IEEE
Xiaojing Wang, Angel F. Garcia Contreras, Martine Ceberio, Christian Del Hoyo, Luis C. Gutierrez
2011 J jnl
Applications of Fuzzy Measures and Intervals in Finance.
Reliab. Comput.
Tanja Magoc, Xiaojing Wang, François Modave, Martine Ceberio
2011 — conf
Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance.
MICAI (2)
Vladik Kreinovich, Christelle Jacob, Didier Dubois, Janette Cardoso, Martine Ceberio, Ildar Z. Batyrshin
2011 — conf
No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow.
MICAI (2)
Martine Ceberio, Vladik Kreinovich
2011 B conf
Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots.
SMC
Jan Sliwka, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
2011 J jnl
SCAN 2008 Guest editors preface.
Reliab. Comput.
Martine Ceberio, Vladik Kreinovich
2011 J jnl
Using Preference Constraints to Solve Multi-Criteria Decision Making Problems.
Reliab. Comput.
Tanja Magoc, Martine Ceberio, François Modave
2010 B conf
Multi-objective optimization under positivity constraints, with a meteorological example.
FUZZ-IEEE
Aline Jaimes, Craig E. Tweedie, Tanja Magoc, Vladik Kreinovich, Martine Ceberio
2010 B conf
Why polynomial formulas in soft computing, decision making, etc.?
FUZZ-IEEE
Olga Kosheleva, Martine Ceberio
2009 — ch.
Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management.
Foundations of Computational Intelligence (2)
Tanja Magoc, François Modave, Martine Ceberio, Vladik Kreinovich
2009 — ch.
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness.
Foundations of Computational Intelligence (2)
Hung T. Nguyen, Vladik Kreinovich, François Modave, Martine Ceberio
2008 — conf
A Constraint-Based Approach to Verification of Programs with Floating-Point Numbers.
Software Engineering Research and Practice
Carlos Acosta, Martine Ceberio, Christian Servin
2008 — conf
Cascade Vulnerability Problem Simulator Tool.
MSV
Christian Servin, Martine Ceberio
2008 — conf
Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification.
MICAI
François Modave, Martine Ceberio, Vladik Kreinovich
2008 J jnl
Efficient interval partitioning - Local search collaboration for constraint satisfaction.
Comput. Oper. Res.
Chandra Sekhar Pedamallu, Linet Özdamar, Martine Ceberio
2008 C conf
Integrating Random Testing with Constraints for Improved Efficiency and Diversity.
SEKE
Yoonsik Cheon, Antonio Cortes, Gary T. Leavens, Martine Ceberio
2007 J jnl
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms.
Reliab. Comput.
Gang Xiang, Martine Ceberio, Vladik Kreinovich
2007 — conf
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty.
IFSA (1)
Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk, Barnabás Bede
2007 J jnl
Towards adding probabilities and correlations to interval computations.
Int. J. Approx. Reason.
Daniel Berleant, Martine Ceberio, Gang Xiang, Vladik Kreinovich
2006 Misc conf
Editorial: track reliable computations and their applications.
SAC
Martine Ceberio, Vladik Kreinovich, Michel Rueher
2006 Misc conf
Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips.
SAC
Michael Orshansky, Wei-Shen Wang, Martine Ceberio, Gang Xiang
2006 J jnl
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Reliab. Comput.
Vladik Kreinovich, Gang Xiang, Scott A. Starks, Luc Longpré, Martine Ceberio, Roberto Araiza, Jan Beck, Raj Kandathi, Asis Nayak, Roberto Torres, Janos G. Hajagos
2005 B conf
Comparing Attacks: An Approach Based on Interval Computation and Fuzzy Integration.
FUZZ-IEEE
Martine Ceberio, François Modave, Xiaojing Wang
2005 Misc conf
Editorial: track reliable computations and their applications.
SAC
Martine Ceberio, Vladik Kreinovich, Michel Rueher
2005 — conf
Enhancement of Parameter Estimation using Flexible Constraints: an Application to Shock-response Study.
AMCS
Martine Ceberio, Richard Coy
2005 J jnl
Reliable Computations and Their Applications (RCA) Track.
Reliab. Comput.
Martine Ceberio, Vladik Kreinovich, Michel Rueher
2005 — conf
Speculative Constraint Processing with Iterative Revision for Disjunctive Answers.
CLIMA
Martine Ceberio, Hiroshi Hosobe, Ken Satoh
2004 J jnl
Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm).
Reliab. Comput.
Martine Ceberio, Vladik Kreinovich
2004 J jnl
Greedy algorithms for optimizing multivariate Horner schemes.
SIGSAM Bull.
Martine Ceberio, Vladik Kreinovich
2004 — conf
Interval-Based Multicriteria Decision Making.
AI&M
Martine Ceberio, François Modave
2004 — conf
On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?.
PARA
Martine Ceberio, Vladik Kreinovich, Lev Ginzburg
2002 J jnl
Horner's Rule for Interval Evaluation Revisited.
Computing
Martine Ceberio, Laurent Granvilliers
2002 — conf
Solving Nonlinear Equations by Abstraction, Gaussian Elimination, and Interval Methods.
FroCoS
Martine Ceberio, Laurent Granvilliers
2000 — conf
Résolution de systèmes non linéaires par inversion des contraintes et analyse par intervalles.
JFPLC
Martine Ceberio, Laurent Granvilliers
2000 Misc conf
Solving Nonlinear Systems by Constraint Inversion and Interval Arithmetic.
AISC
Martine Ceberio, Laurent Granvilliers