Martine Ceberio

Orcid: 0000-0001-5680-1155

Affiliations:
  • University of Texas at El Paso, USA


According to our database1, Martine Ceberio authored at least 112 papers between 2000 and 2024.

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Bibliography

2024
Just-in-Accuracy: Mobile Approach to Uncertainty.
J. Mobile Multimedia, 2024

2023
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., December, 2023

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions.
Proceedings of the Fuzzy Information Processing 2023, 2023

Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty.
Proceedings of the Fuzzy Information Processing 2023, 2023

Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory.
Proceedings of the Fuzzy Information Processing 2023, 2023

How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance.
Proceedings of the Fuzzy Information Processing 2023, 2023

How to Select a Representative Sample for a Family of Functions?
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation.
Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Epistemic Versus Aleatory: Case of Interval Uncertainty.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

An Argument in Favor of Piecewise-Constant Membership Functions.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Which Interval-Valued Alternatives Are Possibly Optimal if We Use Hurwicz Criterion.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Get the Most Accurate Measurement-Based Estimates.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Model Order Reduction.
Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

One More Physics-Based Explanation for Rectified Linear Neurons.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Best Write Research Papers: Basic English? Sophisticated English?
Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Search Under Uncertainty Should be Randomized: A Lesson from the 2021 Nobel Prize in Medicine.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success.
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

2022
When is deep learning better and when is shallow learning better: qualitative analysis.
Int. J. Parallel Emergent Distributed Syst., 2022

Why neural networks in the first place: a theoretical explanation.
J. Intell. Fuzzy Syst., 2022

Comparison of Higher-Order Approximations to Solve Dynamical Systems Using Interval Constraint Solving.
Proceedings of the Applied Computer Sciences in Engineering, 2022

2021
Why Dilated Convolutional Neural Networks: A Proof of Their Optimality.
Entropy, 2021

Solving Dynamical Systems Using Windows of Sliding Subproblems.
Proceedings of the Applied Computer Sciences in Engineering, 2021

Reflecting on Reflection: Integrating Critical Thinking into CS Teaching and Learning Practice.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI?
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

2020
If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time.
Int. J. Unconv. Comput., 2020

Equations for Which Newton's Method Never Works: Pedagogical Examples.
Proceedings of the Fuzzy Information Processing 2020, 2020

How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples.
Proceedings of the Fuzzy Information Processing 2020, 2020

Optimal Search Under Constraints.
Proceedings of the Fuzzy Information Processing 2020, 2020

How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed.
Proceedings of the Fuzzy Information Processing 2020, 2020

Let Us Use Negative Examples in Regression-Type Problems Too.
Proceedings of the 24th International Conference on Information Visualisation, 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.
Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, 2020

Why Burgers Equation: Symmetry-Based Approach.
Proceedings of the Decision Making under Constraints, 2020

When We Know the Number of Local Maxima, Then We Can Compute All of Them.
Proceedings of the Decision Making under Constraints, 2020

Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas.
Proceedings of the Decision Making under Constraints, 2020

Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread.
Proceedings of the Decision Making under Constraints, 2020

Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation.
Proceedings of the Decision Making under Constraints, 2020

Reverse Mathematics Is Computable for Interval Computations.
Proceedings of the Decision Making under Constraints, 2020

Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable.
Proceedings of the Decision Making under Constraints, 2020

How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints.
Proceedings of the Decision Making under Constraints, 2020

How Quantum Computing Can Help with (Continuous) Optimization.
Proceedings of the Decision Making under Constraints, 2020

2019
Solving Large Dynamical Systems by Constraint Sampling.
Proceedings of the Applied Computer Sciences in Engineering, 2019

How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2017
Towards predictions of large dynamic systems' behavior using reduced-order modeling and interval computations.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

"On-the-fly" Parameter Identification for Dynamic Systems Control, Using Interval Computations and Reduced-Order Modeling.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

2016
Robust data processing in the presence of uncertainty and outliers: Case of localization problems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Using Interval Constraint Solving Techniques to better understand and predict future behaviors of dynamic problems.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Comparison of strategies for solving global optimization problems using speculation and interval computations.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Greetings from NAFIPS 2016 organizing committee chairs.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

2015
What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Model reduction: Why it is possible and how it can potentially help to control swarms of Unmanned Arial Vehicles (UAVs).
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

On the Normalization of Interval-Based Possibility Distributions.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Latinas' resilience and persistence in computer science and engineering: Preliminary findings of a qualitative study examining identity and agency.
Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

2014
Why Ellipsoid Constraints, Ellipsoid Clusters, and Riemannian Space-Time: Dvoretzky's Theorem Revisited.
Proceedings of the Constraint Programming and Decision Making, 2014

Towards an Efficient Bisection of Ellipsoids.
Proceedings of the Constraint Programming and Decision Making, 2014

Constraint-Related Reinterpretation of Fundamental Physical Equations Can Serve as a Built-In Regularization.
Proceedings of the Constraint Programming and Decision Making, 2014

Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems.
Proceedings of the Constraint Programming and Decision Making, 2014

Why Tensors?
Proceedings of the Constraint Programming and Decision Making, 2014

Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization.
Proceedings of the Constraint Programming and Decision Making, 2014

Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying.
Proceedings of the Constraint Programming and Decision Making, 2014

Continuous If-Then Statements Are Computable.
Proceedings of the Constraint Programming and Decision Making, 2014

Why Curvature in L-Curve: Combining Soft Constraints.
Proceedings of the Constraint Programming and Decision Making, 2014

Abstract argumentation frameworks to promote fairness and rationality in multi-experts multi-criteria decision making.
Proceedings of the 15th Italian Conference on Theoretical Computer Science, 2014

If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies.
Proceedings of the Time Series Analysis, Modeling and Applications, 2013

How to generate worst-case scenarios when testing already deployed systems against unexpected situations.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Towards fuzzy method for estimating prediction accuracy for discrete inputs, with application to predicting at-risk students.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012
A speculative algorithm to extract fuzzy measures from sample data.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Applications of Fuzzy Measures and Intervals in Finance.
Reliab. Comput., 2011

Using Preference Constraints to Solve Multi-Criteria Decision Making Problems.
Reliab. Comput., 2011

SCAN 2008 Guest editors preface.
Reliab. Comput., 2011

Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots.
Proceedings of the IEEE International Conference on Systems, 2011

Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance.
Proceedings of the Advances in Soft Computing, 2011

No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow.
Proceedings of the Advances in Soft Computing, 2011

2010
Why polynomial formulas in soft computing, decision making, etc.?
Proceedings of the FUZZ-IEEE 2010, 2010

Multi-objective optimization under positivity constraints, with a meteorological example.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness.
Proceedings of the Foundations of Computational Intelligence, 2009

Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management.
Proceedings of the Foundations of Computational Intelligence, 2009

2008
Efficient interval partitioning - Local search collaboration for constraint satisfaction.
Comput. Oper. Res., 2008

A Constraint-Based Approach to Verification of Programs with Floating-Point Numbers.
Proceedings of the 2008 International Conference on Software Engineering Research & Practice, 2008

Integrating Random Testing with Constraints for Improved Efficiency and Diversity.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

Cascade Vulnerability Problem Simulator Tool.
Proceedings of the 2008 International Conference on Modeling, 2008

Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

2007
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms.
Reliab. Comput., 2007

Towards adding probabilities and correlations to interval computations.
Int. J. Approx. Reason., 2007

From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

2006
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Reliab. Comput., 2006

Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2005
Reliable Computations and Their Applications (RCA) Track.
Reliab. Comput., 2005

Editorial: track reliable computations and their applications.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Comparing Attacks: An Approach Based on Interval Computation and Fuzzy Integration.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Speculative Constraint Processing with Iterative Revision for Disjunctive Answers.
Proceedings of the Computational Logic in Multi-Agent Systems, 6th International Workshop, 2005

Enhancement of Parameter Estimation using Flexible Constraints: an Application to Shock-response Study.
Proceedings of the 2005 International Conference on Algorithmic Mathematics and Computer Science, 2005

2004
Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm).
Reliab. Comput., 2004

Greedy algorithms for optimizing multivariate Horner schemes.
SIGSAM Bull., 2004

On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?.
Proceedings of the Applied Parallel Computing, 2004

Interval-Based Multicriteria Decision Making.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

2002
Horner's Rule for Interval Evaluation Revisited.
Computing, 2002

Solving Nonlinear Equations by Abstraction, Gaussian Elimination, and Interval Methods.
Proceedings of the Frontiers of Combining Systems, 4th International Workshop, 2002

2000
Résolution de systèmes non linéaires par inversion des contraintes et analyse par intervalles.
Proceedings of the Programmation en logique avec contraintes, 2000

Solving Nonlinear Systems by Constraint Inversion and Interval Arithmetic.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2000


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