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 individuals that match a …

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 widespread attention both …

I. Dedicatoria. II. Explicación metodológica y conceptual. III. Primera tesis.—Las formas de
aproximación al Derecho Procesal Constitucional. Segunda tesis.—La historia del Derecho …

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 is widely available, …

Software has been developed since the 1960s but the success rate of development projects
is still low. Classification models have been used to predict defects and effort estimation, but …

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

Years of research in the field of Pattern Recognition (PR) has led to scores of algorithms which
can achieve supervised pattern classification. Such algorithms assume the knowledge of …

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 health networks. An accurate …

Phenotyping, via remote and proximal sensing techniques, of the agronomic and
physiological traits associated with yield potential and drought adaptation could contribute to …

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 underlying distribution and …