Christian Servin

发表

Model Fusion under Probabilistic and Interval Uncertainty, with Application to Earth Sciences

Vladik Kreinovich, Omar Ochoa, Aaron A. Velasco, 2012 .

Comparisons of Measurement Results as Constraints on Accuracies of Measuring Instruments: When Can We Determine the Accuracies from These Constraints?

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2018 .

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2014 .

Quantum computation techniques for gauging reliability of interval and fuzzy data

Vladik Kreinovich, Luc Longpré, Christian Servin, 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

Maximum Entropy in Support of Semantically Annotated Datasets

Vladik Kreinovich, Christian Servin, Paulo Pinheiro, 2008, URSW.

Towards Better Ways of Extracting Information about Uncertainty from Data

Vladik Kreinovich, Christian Servin, 2015 .

Sparse fuzzy techniques improve machine learning

Reinaldo Sanchez, Christian Servin, Miguel Argáez, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

Accuracy of Data Fusion: Interval (and Fuzzy) Case

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2020 .

Shaping Curricular Guidelines for Associate-Degree Cybersecurity Programs

Christian Servin, Cara Tang, Cindy Tucker, 2019, SIGCSE.

ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback

Lillian N. Cassel, Christian Servin, Andrea Danyluk, 2019, SIGCSE.

Propagation and Provenance of Probabilistic and Interval Uncertainty in Cyberinfrastructure-Related Data Processing and Data Fusion

Vladik Kreinovich, Aaron A. Velasco, Christian Servin, 2007 .

Computer Science Curricular Guidance for Associate-Degree Transfer Programs

Christian Servin, Cara Tang, Cindy Tucker, 2018, SIGCSE.

How to Make Machine Learning Robust Against Adversarial Inputs

Vladik Kreinovich, Christian Servin, Gerardo Muela, 2016 .

Shaping Curricular Guidelines for Associate-Degree Cybersecurity Programs

Christian Servin, Cara Tang, Cindy Tucker, 2019, ITiCSE.

Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2019, IFSA/NAFIPS.

How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty

Vladik Kreinovich, Hung T. Nguyen, Christian Servin, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Constraint-Based Approach to Verification of Programs with Floating-Point Numbers

Martine Ceberio, Christian Servin, Carlos Acosta, 2008, Software Engineering Research and Practice.

It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

No Idea Is a Bad Idea: A Theoretical Explanation

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2017 .

Can We Detect Crisp Sets Based Only on the Subsethood Ordering of Fuzzy Sets? Fuzzy Sets and/or Crisp Sets Based on Subsethood of Interval-Valued Fuzzy Sets?

Vladik Kreinovich, Christian Servin, Gerardo Muela, 2017, NAFIPS.

Cascade Vulnerability Problem Simulator Tool

Martine Ceberio, Christian Servin, M. Ceberio, 2008, MSV.

How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies

Vladik Kreinovich, Martine Ceberio, Christian Servin, 2013, Time Series Analysis, Modeling and Applications.

Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2019, IUKM.

Intuitionistic Fuzzy Logic Is Not Always Equivalent to Interval-Valued One

Vladik Kreinovich, Christian Servin, 2016 .

Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem

Vladik Kreinovich, Christian Servin, Gerardo Muela, 2018, Axioms.

How to estimate accuracy of different models: Non-gaussian case

Olga Kosheleva, Christian Servin, Aaron A. Velasco, 2016 .

Towards More Computationally Efficient Techniques for Processing Uncertainty

Vladik Kreinovich, Christian Servin, 2015 .

Curricular Guidance for Associate-Degree Transfer Programs in Computer Science with Contemporary Cybersecurity Concepts (Abstract Only)

Elizabeth K. Hawthorne, Christian Servin, Teresa Moore, 2017, SIGCSE.

An Optimization Approach for the Cascade Vulnerability Problem

Christian Servin, 2009 .

How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued Fuzzy Sets?

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

In Fuzzy Decision Making, General Fuzzy Sets Can Be Replaced by Fuzzy Numbers

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2017 .

Towards Optimal Implementation of Decentralized Currencies: How to Best Select Probabilities in an Ethereum-Type Proof-of-Stake Protocol

Vladik Kreinovich, Christian Servin, Thach Ngoc Nguyen, 2018 .

Towards a More Adequate Description of Uncertainty

Vladik Kreinovich, Christian Servin, 2015 .

Using Peer-Led Team Learning to build university-community college relationships

Ann Q. Gates, Christian Servin, Michelle Slattery, 2015, 2015 IEEE Frontiers in Education Conference (FIE).

Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees

Vladik Kreinovich, Christian Servin, V. Kreinovich, 2018, NAFIPS.

Towards Justification of Heuristic Techniques for Processing Uncertainty

Vladik Kreinovich, Christian Servin, 2015 .

Honors Projects in CS II: Selected Programming Assignments with Emphasis on Research-Based Problems (A Bridge From Community College to UTEP/NMSU)

Christian Servin, Christian Murga, Aaron DeWitt, 2014 .

How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed

Vladik Kreinovich, Christian Servin, Martine Ceberio, 2019 .

Scaling-invariant description of dependence between fuzzy variables: Towards a fuzzy version of copulas

Vladik Kreinovich, Christian Servin, Gerardo Muela, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Computer Science Curricular Guidelines for Associate-Degree Transfer Programs (Abstract Only)

Elizabeth K. Hawthorne, Christian Servin, Cara Tang, 2017, SIGCSE.

Adapting the IT2017 Curricula for Two Year Transfer Programs: Determining Appropriate Competencies for the First Two Years of a Baccalaureate IT Program

Christian Servin, Cara Tang, Markus Geissler, 2019, ITiCSE.

How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or"

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2019, IFSA/NAFIPS.

How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions

Vladik Kreinovich, Omar Ochoa, Christian Servin, 2013, WCSC.

If Space-Time Is Discrete, We May Be Able to Solve NP-Hard Problems in Polynomial Time

Vladik Kreinovich, Christian Servin, Martine Ceberio, 2019 .

How to Define "and"- and "or"-Operations for Intuitionistic and Picture Fuzzy Sets

Vladik Kreinovich, Christian Servin, Reynaldo Martinez, 2019 .

How to estimate relative spatial resolution of different maps or images of the same area?

Vladik Kreinovich, Christian Servin, Aaron Velasco, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Testing shock absorbers: Towards a faster parallelizable algorithm

Christian Servin, 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.

Mexican Folk Arithmetic Algorithm Makes Perfect Sense

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2021, NAFIPS.

Fuzzy Information Processing Computing Curricula: A Perspective from the First Two-Years in Computing Education

Christian Servin, 2021, NAFIPS.

What Teachers Can Learn from Machine Learning

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2021, NAFIPS.

Amanda Jansen, Rough Draft Math: Revising to Learn, Stenhouse Publishers, Portsmouth, New Hampshire, 2020

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2020, J. Intell. Fuzzy Syst..

A Recent Result About Random Metric Spaces Explains Why All of Us Have Similar Learning Potential

Vladik Kreinovich, Olga Kosheleva, Christian Servin, 2021, How Uncertainty-Related Ideas Can Provide Theoretical Explanation For Empirical Dependencies.

How to Teach Recursion: A Formula to Transform an Iterative-Based to a Recursive-Based Method

Christian Servin, 2021, SIGCSE.

Computing Competencies for Undergraduate Data Science Programs: an ACM Task Force Final Report

Paul M. Leidig, Lillian N. Cassel, Andreas Stefik, 2021, SIGCSE.

Enhanced Verbs for Bloom's Taxonomy with Focus on Computing and Technical Areas

Christian Servin, Cara Tang, Cindy Tucker, 2021, SIGCSE.

Community Colleges: Increasing Participation at SIGCSE and ACM Activities

Christian Servin, Cara Tang, Cindy Tucker, 2021, SIGCSE.

Model Fusion under Probabilistic and Interval Uncertainty, with Application to Earth Sciences

Vladik Kreinovich, Aaron A. Velasco, Christian Servin, 2010 .

Images are Easier to Restore than 1-D Signals: A Theoretical Explanation of a Surprising Empirical Phenomenon

Vladik Kreinovich, Christian Servin, 2013 .