Solving Nonlinear Systems by Constraint Inversion and Interval Arithmetic. - Martine Ceberio; Laurent Granvilliers (AISC, 2000)

Résolution de systèmes non linéaires par inversion des contraintes et analyse par intervalles. - Martine Ceberio; Laurent Granvilliers (JFPLC, 2000)

Solving Nonlinear Equations by Abstraction, Gaussian Elimination, and Interval Methods. - Martine Ceberio; Laurent Granvilliers (FroCoS, 2002)

Horner's Rule for Interval Evaluation Revisited. - Martine Ceberio; Laurent Granvilliers (Computing, 2002)

Interval-Based Multicriteria Decision Making. - Martine Ceberio; François Modave (AI&M, 2004)

On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?. - Martine Ceberio; Vladik Kreinovich; Lev Ginzburg (PARA, 2004)

Greedy algorithms for optimizing multivariate Horner schemes. - Martine Ceberio; Vladik Kreinovich (SIGSAM Bull., 2004)

Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm). - Martine Ceberio; Vladik Kreinovich (Reliab. Comput., 2004)

Enhancement of Parameter Estimation using Flexible Constraints: an Application to Shock-response Study. - Martine Ceberio; Richard Coy (AMCS, 2005)

Speculative Constraint Processing with Iterative Revision for Disjunctive Answers. - Martine Ceberio; Hiroshi Hosobe; Ken Satoh (CLIMA, 2005)

Comparing Attacks: An Approach Based on Interval Computation and Fuzzy Integration. - Martine Ceberio; François Modave; Xiaojing Wang (FUZZ-IEEE, 2005)

Editorial: track reliable computations and their applications. - Martine Ceberio; Vladik Kreinovich; Michel Rueher (SAC, 2005)

Reliable Computations and Their Applications (RCA) Track. - Martine Ceberio; Vladik Kreinovich; Michel Rueher (Reliab. Comput., 2005)

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 (SAC, 2006)

Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity. - Vladik Kreinovich; Gang Xiang; Scott A. Starks; Luc Longpré; Martine Ceberio; Roberto Araiza; Jan Beck; Raj Kandathi; Asis Nayak; Roberto Torres; Janos G. Hajagos (Reliab. Comput., 2006)

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; Barnabás Bede (IFSA (1), 2007)

Towards adding probabilities and correlations to interval computations. - Daniel Berleant; Martine Ceberio; Gang Xiang; Vladik Kreinovich (Int. J. Approx. Reason., 2007)

Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms. - Gang Xiang; Martine Ceberio; Vladik Kreinovich (Reliab. Comput., 2007)

Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification. - François Modave; Martine Ceberio; Vladik Kreinovich (MICAI, 2008)

Cascade Vulnerability Problem Simulator Tool. - Christian Servin; Martine Ceberio (MSV, 2008)

Integrating Random Testing with Constraints for Improved Efficiency and Diversity. - Yoonsik Cheon; Antonio Cortes; Gary T. Leavens; Martine Ceberio (SEKE, 2008)

A Constraint-Based Approach to Verification of Programs with Floating-Point Numbers. - Carlos Acosta; Martine Ceberio; Christian Servin (Software Engineering Research and Practice, 2008)

Efficient interval partitioning - Local search collaboration for constraint satisfaction. - Chandra Sekhar Pedamallu; Linet Özdamar; Martine Ceberio (Comput. Oper. Res., 2008)

Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management. - Tanja Magoc; François Modave; Martine Ceberio; Vladik Kreinovich (Foundations of Computational Intelligence (2), 2009)

Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness. - Hung T. Nguyen 002; Vladik Kreinovich; François Modave; Martine Ceberio (Foundations of Computational Intelligence (2), 2009)

Multi-objective optimization under positivity constraints, with a meteorological example. - Aline Jaimes; Craig E. Tweedie; Tanja Magoc; Vladik Kreinovich; Martine Ceberio (FUZZ-IEEE, 2010)

Why polynomial formulas in soft computing, decision making, etc.? - Olga Kosheleva; Martine Ceberio (FUZZ-IEEE, 2010)

No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow. - Martine Ceberio; Vladik Kreinovich (MICAI (2), 2011)

Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance. - Vladik Kreinovich; Christelle Jacob; Didier Dubois; Janette Cardoso; Martine Ceberio; Ildar Z. Batyrshin (MICAI (2), 2011)

Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots. - Jan Sliwka; Luc Jaulin; Martine Ceberio; Vladik Kreinovich (SMC, 2011)

SCAN 2008 Guest editors preface. - Martine Ceberio; Vladik Kreinovich (Reliab. Comput., 2011)

Using Preference Constraints to Solve Multi-Criteria Decision Making Problems. - Tanja Magoc; Martine Ceberio; François Modave (Reliab. Comput., 2011)

Applications of Fuzzy Measures and Intervals in Finance. - Tanja Magoc; Xiaojing Wang; François Modave; Martine Ceberio (Reliab. Comput., 2011)

A speculative algorithm to extract fuzzy measures from sample data. - Xiaojing Wang; Angel F. Garcia Contreras; Martine Ceberio; Christian Del Hoyo; Luis C. Gutierrez (FUZZ-IEEE, 2012)

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 (IFSA/NAFIPS, 2013)

How to generate worst-case scenarios when testing already deployed systems against unexpected situations. - Francisco Zapata; Ricardo Pineda; Martine Ceberio (IFSA/NAFIPS, 2013)

How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies. - Christian Servin; Martine Ceberio; Aline Jaimes; Craig E. Tweedie; Vladik Kreinovich (Time Series Analysis, Modeling and Applications, 2013)

If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable. - Quentin Brefort; Luc Jaulin; Martine Ceberio; Vladik Kreinovich (CIES, 2014)

Abstract argumentation frameworks to promote fairness and rationality in multi-experts multi-criteria decision making. - Stefano Bistarelli; Martine Ceberio; Joel A. Henderson; Francesco Santini 001 (ICTCS, 2014)

Why Curvature in L-Curve: Combining Soft Constraints. - Uram Anibal Sosa Aguirre; Martine Ceberio; Vladik Kreinovich (Constraint Programming and Decision Making, 2014)

Continuous If-Then Statements Are Computable. - Martine Ceberio; Vladik Kreinovich (Constraint Programming and Decision Making, 2014)

Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Constraint Programming and Decision Making, 2014)

Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization. - Aline Jaimes; Craig Tweedy; Tanja Magoc; Vladik Kreinovich; Martine Ceberio (Constraint Programming and Decision Making, 2014)

Why Tensors? - Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (Constraint Programming and Decision Making, 2014)

Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems. - Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (Constraint Programming and Decision Making, 2014)

Constraint-Related Reinterpretation of Fundamental Physical Equations Can Serve as a Built-In Regularization. - Vladik Kreinovich; Juan Ferret; Martine Ceberio (Constraint Programming and Decision Making, 2014)

Towards an Efficient Bisection of Ellipsoids. - Paden Portillo; Martine Ceberio; Vladik Kreinovich (Constraint Programming and Decision Making, 2014)

Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited. - Karen Villaverde; Olga Kosheleva; Martine Ceberio (Constraint Programming and Decision Making, 2014)

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 (FIE, 2015)

On the Normalization of Interval-Based Possibility Distributions. - Salem Benferhat; Martine Ceberio; Vladik Kreinovich; Sylvain Lagrue; Karim Tabia (FLAIRS, 2015)

Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs). - Martine Ceberio; Leobardo Valera; Olga Kosheleva; Rodrigo Romero (NAFIPS/WConSC, 2015)

What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard. - Martine Ceberio; Vladik Kreinovich; Hung T. Nguyen 002; Songsak Sriboonchitta; Rujira Ouncharoen (SSCI, 2015)

Greetings from NAFIPS 2016 organizing committee chairs. - Martine Ceberio; Vladik Kreinovich (NAFIPS, 2016)

Comparison of strategies for solving global optimization problems using speculation and interval computations. - Angel F. Garcia Contreras; Martine Ceberio (NAFIPS, 2016)

Using Interval Constraint Solving Techniques to better understand and predict future behaviors of dynamic problems. - Leobardo Valera; Martine Ceberio (NAFIPS, 2016)

Robust data processing in the presence of uncertainty and outliers: Case of localization problems. - Anthony Welte; Luc Jaulin; Martine Ceberio; Vladik Kreinovich (SSCI, 2016)

"On-the-fly" Parameter Identification for Dynamic Systems Control, Using Interval Computations and Reduced-Order Modeling. - Leobardo Valera; Angel F. Garcia Contreras; Martine Ceberio (NAFIPS, 2017)

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 (SMC, 2017)

Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich; Luc Longpré (FUZZ-IEEE, 2019)

In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich; Luc Longpré (FUZZ-IEEE, 2019)

Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (IFSA/NAFIPS, 2019)

Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance. - Leobardo Valera; Martine Ceberio; Vladik Kreinovich (IFSA/NAFIPS, 2019)

Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning. - Oscar Galindo; Christian Ayub; Martine Ceberio; Vladik Kreinovich (SSCI, 2019)

How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility. - Vladik Kreinovich; Martine Ceberio; Ricardo Alvarez (SSCI, 2019)

Solving Large Dynamical Systems by Constraint Sampling. - Omeiza Olumoye; Glen Throneberry; Angel F. Garcia Contreras; Leobardo Valera; Abdessattar Abdelkefi; Martine Ceberio (WEA, 2019)

How Quantum Computing Can Help with (Continuous) Optimization. - Christian Ayub; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. - Chitta Baral; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Decision Making under Constraints, 2020)

Reverse Mathematics Is Computable for Interval Computations. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Decision Making under Constraints, 2020)

Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation. - Angel F. Garcia Contreras; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread. - Angel F. Garcia Contreras; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas. - Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

When We Know the Number of Local Maxima, Then We Can Compute All of Them. - Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

Why Burgers Equation: Symmetry-Based Approach. - Leobardo Valera; Martine Ceberio; Vladik Kreinovich (Decision Making under Constraints, 2020)

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. - Vladik Kreinovich; Martine Ceberio; Olga Kosheleva (ICTES, 2020)

Let Us Use Negative Examples in Regression-Type Problems Too. - Jonatan M. Contreras; Francisco Zapata; Olga Kosheleva; Vladik Kreinovich; Martine Ceberio (IV, 2020)

How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed. - Ricardo Alvarez; Nick Sims; Christian Servin; Martine Ceberio; Vladik Kreinovich (NAFIPS, 2020)

Optimal Search Under Constraints. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2020)

How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples. - Julio C. Urenda; Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (NAFIPS, 2020)

Equations for Which Newton's Method Never Works: Pedagogical Examples. - Leobardo Valera; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2020)

If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time. - Ricardo Alvarez; Nick Sims; Christian Servin; Martine Ceberio; Vladik Kreinovich (Int. J. Unconv. Comput., 2020)

Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? - Kelly Cohen; Laxman Bokati; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2021)

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 (SIGCSE, 2021)

Solving Dynamical Systems Using Windows of Sliding Subproblems. - Angel Fernando Garcia Contreras; Martine Ceberio (WEA, 2021)

Why Dilated Convolutional Neural Networks: A Proof of Their Optimality. - Jonatan M. Contreras; Martine Ceberio; Vladik Kreinovich (Entropy, 2021)

Comparison of Higher-Order Approximations to Solve Dynamical Systems Using Interval Constraint Solving. - Angel F. Garcia Contreras; Martine Ceberio (WEA, 2022)

Why neural networks in the first place: a theoretical explanation. - Jonatan M. Contreras; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (J. Intell. Fuzzy Syst., 2022)

When is deep learning better and when is shallow learning better: qualitative analysis. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Int. J. Parallel Emergent Distributed Syst., 2022)

Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success. - Barnabás Bede; Marina Tuyako Mizukoshi; Martine Ceberio; Vladik Kreinovich; Weldon A. Lodwick (Uncertainty, Constraints, and Decision Making, 2023)

Search Under Uncertainty Should be Randomized: A Lesson from the 2021 Nobel Prize in Medicine. - Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

How to Best Write Research Papers: Basic English? Sophisticated English? - Martine Ceberio; Christian Servin; Olga Kosheleva; Vladik Kreinovich (Decision Making Under Uncertainty and Constraints, 2023)

One More Physics-Based Explanation for Rectified Linear Neurons. - Jonatan M. Contreras; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set. - Juan Carlos Figueroa García; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Why Model Order Reduction. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Decision Making Under Uncertainty and Constraints, 2023)

How to Get the Most Accurate Measurement-Based Estimates. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Which Interval-Valued Alternatives Are Possibly Optimal if We Use Hurwicz Criterion. - Marina Tuyako Mizukoshi; Weldon A. Lodwick; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples. - Marina Tuyako Mizukoshi; Weldon A. Lodwick; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

An Argument in Favor of Piecewise-Constant Membership Functions. - Marina Tuyako Mizukoshi; Weldon A. Lodwick; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms. - Marina Tuyako Mizukoshi; Weldon A. Lodwick; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Epistemic Versus Aleatory: Case of Interval Uncertainty. - Marina Tuyako Mizukoshi; Weldon A. Lodwick; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation. - Julio C. Urenda; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (Decision Making Under Uncertainty and Constraints, 2023)

How to Select a Representative Sample for a Family of Functions? - Leobardo Valera; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance. - Palvi Aggarwal; Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2023)

Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory. - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich (NAFIPS, 2023)

Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. - Martine Ceberio; Vladik Kreinovich; Olga Kosheleva; Lev Ginzburg (NAFIPS, 2023)

Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. - Martine Ceberio; Vladik Kreinovich; Olga Kosheleva; Günter Mayer (NAFIPS, 2023)

Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. - Orsolya Csiszár; Gábor Csiszár; Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (SSCI, 2023)

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. - Lehel Dénes-Fazakas; László Szilágyi; György Eigner; Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (SSCI, 2023)

Economic and Financial Applications of Benford's Law: from Traditional Use in Audits to Help in Deep Learning. - Phuoc Nguyen Kim; Jonatan M. Contreras; Martine Ceberio; Nguyen Ngoc Thach (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023)

Machine Learning-Based Screening for Pediatric Hip Dysplasia: Towards a Validated Approach. - María L. Reyna Cruz; Ricardo Tabares; Martine Ceberio; Vladik Kreinovich; Christoph Quirin Lauter; Cecilia A. Márquez Barraza (IEEECONF, 2024)

Logarithmic Format for Quantization on Forward Passes with High Accuracy. - Kristalys Ruiz-Rohena; Mayra Robles; Johnatan Garcia; Martine Ceberio; Christoph Quirin Lauter (IEEECONF, 2024)

Towards an Optimal Design: What Can We Recommend to Elon Musk? - Martine Ceberio; Olga Kosheleva; Vladik Kreinovich; Hung T. Nguyen 002 (SMC, 2024)

Just-in-Accuracy: Mobile Approach to Uncertainty. - Martine Ceberio; Christoph Quirin Lauter; Vladik Kreinovich (J. Mobile Multimedia, 2024)