Martine Ceberio
Orcid: 0000-0001-5680-1155Affiliations:
- University of Texas at El Paso, USA
According to our database1,
Martine Ceberio
authored at least 111 papers
between 2000 and 2023.
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Bibliography
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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
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
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
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
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
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
Proceedings of the Uncertainty, Constraints, and Decision Making, 2023
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
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
Entropy, 2021
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
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
Proceedings of the Fuzzy Information Processing 2020, 2020
Proceedings of the Fuzzy Information Processing 2020, 2020
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
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
Proceedings of the Decision Making under Constraints, 2020
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
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
Proceedings of the Decision Making under Constraints, 2020
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
Proceedings of the Decision Making under Constraints, 2020
2019
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
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
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
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
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
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
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
Proceedings of the Constraint Programming and Decision Making, 2014
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
Proceedings of the FUZZ-IEEE 2012, 2012
2011
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
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
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
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
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
Reliab. Comput., 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
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004
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
Proceedings of the Artificial Intelligence and Symbolic Computation, 2000