CS Technical Reports
The file that you are reading contains the list of our 2026 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:
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Geometry of Gaudi Arches: Why Parabolic and Catenary Shapes?
Francisco Salazar Mendoza, Braulio Bracamontes, Carlos Gamez, Fernando Sepulveda, and Vladik Kreinovich
link to abstract | UTEP-CS-26-08 in pdf -
Why Dolphins Age Slower in Small Social Groups and Age Faster in Larger Groups: A Possible Explanation Based on Decision Theory
Dang Pham, Javier Molina, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-07 in pdf -
Why drop-max is effective in making convolutional neural networks (CNNs) more robust
Min Xian, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich
link to abstract | UTEP-CS-26-06 in pdf -
Is Constructivism Sufficient for Teaching? Experience of Machine Learning Says "Not Always"
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-05 in pdf -
Efficient First-Approximation Algorithms for Interval-Valued Regression, with Medical Applications in Mind
Maria Lizeth Reyna Cruz, Martine Ceberio, Christoph Q. Lauter, Vladik Kreinovich, and Cecilia Alejandra Marquez Barraza
link to abstract | UTEP-CS-26-04 in pdf -
Is Earth's tilt a resonance?
Luis J. Franco, Andres Soto, Jose R. Chaidez, and Vladik Kreinovich
link to abstract | UTEP-CS-26-03 in pdf -
How to Solve Real-Life Problems: Lessons from Air Force Leadership
Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-02 in pdf -
The only award system that prevents cheating is linear
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-01 in pdf