D34 INNOVATIONS IN PROFESSIONAL EDUCATION TO IMPROVE QUALITY OF CARE: Trends In Sleepiness And Perceived Stress In Medical Trainees During Intensive Care Unit Rotation Followed By... von Bordley, J, Austin, A, Kobza, B, Ahmed, M, Paluzo, A, Yin, M, Yousaf, S, Spaugy, A, Khalid, R, Emens, J, Desai, S, Khan, A

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Trainable and explainable simplicial map neural networks von Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A.

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A Survey of Vectorization Methods in Topological Data Analysis von Ali, Dashti, Asaad, Aras, Jimenez, Maria-Jose, Nanda, Vidit, Paluzo-Hidalgo, Eduardo, Soriano-Trigueros, Manuel

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Two-hidden-layer feed-forward networks are universal approximators: A constructive approach von Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A.

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Strong Euler well-composedness von Boutry, Nicolas, Gonzalez-Diaz, Rocio, Jimenez, Maria-Jose, Paluzo-Hildago, Eduardo

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Approximating lower-star persistence via 2D combinatorial map simplification von Damiand, Guillaume, Paluzo-Hidalgo, Eduardo, Slechta, Ryan, Gonzalez-Diaz, Rocio

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Emotion recognition in talking-face videos using persistent entropy and neural networks von Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Aguirre-Carrazana, Guillermo

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An in-depth analysis of data reduction methods for sustainable deep learning von Perera-Lago, Javier, Toscano-Duran, Victor, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A, Rucco, Matteo

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Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases von Gonzalez-Diaz, Rocio, Mainar, E., Paluzo-Hidalgo, Eduardo, Rubio, B.

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Topology-based representative datasets to reduce neural network training resources von Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A., Paluzo-Hidalgo, Eduardo

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Optimizing the Simplicial-Map Neural Network Architecture von Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A, Heras, Jónathan

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Simplicial-Map Neural Networks Robust to Adversarial Examples von Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A., Heras, Jónathan

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Representative datasets for neural networks von Gonzalez-Diaz, Rocio, Paluzo-Hidalgo, Eduardo, Gutiérrez-Naranjo, Miguel A.

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An in-depth analysis of data reduction methods for sustainable deep learning von Perera-Lago, Javier, Toscano-Duran, Victor, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A., Rucco, Matteo

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Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data von Perera-Lago, Javier, Toscano-Duran, Victor, Paluzo-Hidalgo, Eduardo, Narteni, Sara, Rucco, Matteo

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Euler Well-Composedness von Boutry, Nicolas, Gonzalez-Diaz, Rocio, Jimenez, Maria-Jose, Paluzo-Hildago, Eduardo

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Towards Emotion Recognition: A Persistent Entropy Application von Gonzalez-Diaz, Rocio, Paluzo-Hidalgo, Eduardo, Quesada, José F.

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SIMAP: A simplicial-map layer for neural networks von Gonzalez-Diaz, Rocio, Gutiérrez-Naranjo, Miguel A, Paluzo-Hidalgo, Eduardo

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Trainable and Explainable Simplicial Map Neural Networks von Paluzo-Hidalgo, Eduardo, Gutiérrez-Naranjo, Miguel A, Gonzalez-Diaz, Rocio

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Topological Quality of Subsets via Persistence Matching Diagrams von Torras-Casas, Álvaro, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocio

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