Search Results - "Astudillo, Cesar"

The multiple team formation problem using sociometry by Gutiérrez, Jimmy H., Astudillo, César A., Ballesteros-Pérez, Pablo, Mora-Melià, Daniel, Candia-Véjar, Alfredo

“…The Team Formation problem (TFP) has become a well-known problem in the OR literature over the last few years. In this problem, the allocation of multiple…”
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ML models for severity classification and length-of-stay forecasting in emergency units by Moya-Carvajal, Jonathan, Pérez-Galarce, Francisco, Taramasco, Carla, Astudillo, César A., Candia-Véjar, Alfredo

“…Length-of-stay (LoS) prediction and severity classification for patients in emergency units in a clinic or hospital are crucial problems for public and private…”
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Topology-oriented self-organizing maps: a survey by Astudillo, César A., Oommen, B. John

“…The self-organizing map (SOM) is a prominent neural network model that has found wide application in a spectrum of domains. Accordingly, it has received…”
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Traffic Sign Detection and Recognition Using YOLO Object Detection Algorithm: A Systematic Review by Flores-Calero, Marco, Astudillo, César A., Guevara, Diego, Maza, Jessica, Lita, Bryan S., Defaz, Bryan, Ante, Juan S., Zabala-Blanco, David, Armingol Moreno, José María

“…Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with real-time object detection capabilities. This state-of-the-art technology…”
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Optimizing the search directions of a mixed DDM applied on cracks by Fuenzalida-Henriquez, Ignacio, Hinojosa, Jorge, Peña, Larry, Astudillo, Cesar

“…Domain Decomposition Methods (DDM) are a set of numerical techniques that efficiently implement parallel computing for the structural analysis of large…”
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Assessing Wheat Traits by Spectral Reflectance: Do We Really Need to Focus on Predicted Trait-Values or Directly Identify the Elite Genotypes Group? by Garriga, Miguel, Romero-Bravo, Sebastián, Estrada, Félix, Escobar, Alejandro, Matus, Iván A, Del Pozo, Alejandro, Astudillo, Cesar A, Lobos, Gustavo A

“…Phenotyping, via remote and proximal sensing techniques, of the agronomic and physiological traits associated with yield potential and drought adaptation could…”
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Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations by Astudillo, César A., Oommen, B. John

“…Numerous variants of Self-Organizing Maps (SOMs) have been proposed in the literature, including those which also possess an underlying structure, and in some…”
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On achieving semi-supervised pattern recognition by utilizing tree-based SOMs by Astudillo, César A., Oommen, B. John

“…Years of research in the field of Pattern Recognition (PR) has led to scores of algorithms which can achieve supervised pattern classification. Such algorithms…”
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Patients’ Prioritization on Surgical Waiting Lists: A Decision Support System by Silva-Aravena, Fabián, Álvarez-Miranda, Eduardo, Astudillo, César A., González-Martínez, Luis, Ledezma, José G.

“…Currently, in Chile, more than a quarter-million of patients are waiting for an elective surgical intervention. This is a worldwide reality, and it occurs as…”
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PFA-Nipals: An Unsupervised Principal Feature Selection Based on Nonlinear Estimation by Iterative Partial Least Squares by Castillo-Ibarra, Emilio, Alsina, Marco A., Astudillo, Cesar A., Fuenzalida-Henríquez, Ignacio

“…Unsupervised feature selection (UFS) has received great interest in various areas of research that require dimensionality reduction, including machine…”
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Predicting the stability of human lysozyme mutants using the tree-based classifier TTOSOM by Maldonado, Gonzalo, Astudillo, César A., Riadi, Gonzalo, Caballero, Julio

“…One of the primary goals of applied proteomics is the development of new computational methods for modeling the properties of the proteins from the primary…”
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Imposing tree-based topologies onto self organizing maps by Astudillo, César A., John Oommen, B.

“…The beauty of the Kohonen map is that it has the property of organizing the codebook vectors, which represent the data points, both with respect to the…”
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On the data to know the prioritization and vulnerability of patients on surgical waiting lists by Silva-Aravena, Fabián, Álvarez-Miranda, Eduardo, Astudillo, César A., González-Martínez, Luis, Ledezma, José G.

“…The data presented in this article are complementary material to our work entitled “A decision support system for prioritization of patients on surgical…”
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Data for resistance and inductance estimation within a voltage source inverter by Aldana, Diego, Salgueiro, Yamisleydi, Bellinger, Colin, Rivera, Marco, Astudillo, César A.

“…Power converters are essential for the use of renewable energy resources. For example, a photovoltaic system produces DC energy that is transformed into AC by…”
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Data extracted from olive oil mill waste exposed to ambient conditions by González-Martínez, Luis, Hernández, D., Astudillo, César A., Silva A, Fabián, Gabriel, David

“…Recent studies show that the process of extraction of olive oil results in a large amount of waste. Around 20% the oil is obtained in the process and the…”
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Editorial: Data Mining in Electronic Commerce - Support vs. Confidence by Astudillo, Cesar, Bardeen, Matthew, Cerpa, Narciso

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Evaluating different families of prediction methods for estimating software project outcomes by Cerpa, Narciso, Bardeen, Matthew, Astudillo, César A., Verner, June

“…•We compare classifiers using AUC when predicting software project outcome.•Attribute selection using Information Gain improves our classifiers…”
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Ensemble Approach Using k-Partitioned Isolation Forests for the Detection of Stock Market Manipulation by Núñez Delafuente, Hugo, Astudillo, César A., Díaz, David

“…Stock market manipulation, defined as any attempt to artificially influence stock prices, poses significant challenges by causing financial losses and eroding…”
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Enhancing Schizophrenia Prediction Using Class Balancing and SHAP Explainability Techniques on EEG Data by Arias, Javiera T., Astudillo, Cesar A.

“…Machine learning (ML) makes predictions or supports decision making based on data, achieving high accuracy, saving time and resources, and even running…”
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Semi-supervised learning for MALDI–TOF mass spectrometry data classification: an application in the salmon industry by González, Camila, Astudillo, César A., López-Cortés, Xaviera A., Maldonado, Sebastián

“…MALDI–TOF mass spectrometry (Matrix-Assisted Laser Desorption-Ionization (MALDI) and a Time-of-Flight detector (TOF) is a promising strategy for identifying…”
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