12 articles in this issue
Jorge E. Camargo, Vladimir Vargas-Calderon, Nelson Vargas, Liliana Calderón-Benavides
With the purpose of classifying text based on its sentiment polarity (positive or negative), we proposed an extension of a 68,000 tweets corpus through the inclusion of word definitions from a dictionary of the Real Academia Espa\~{n}ola de la Lengua (RAE... see more
Facundo Cortés Martínez, Dr., Alejandro Treviño Cansino, Dr., María-Aracelia Alcorta García, Dr., Arturo Tadeo Espinoza Fraire, Dr., José Armando Sáenz Esqueda, Julio Gerardo Lozoya Velez
Un problema que enfrentan los organismos operadores de agua, es el cumplimiento de la normatividaden la calidad del agua residual tratada. Por lo que es recomendable implementar estrategias que favorezcan elcumplimiento de las regulaciones. La minería de ... see more
Thomas M Roehr
The application of reconfigurable multi-robot systems introduces additional degrees of freedom to design robotic missions compared to classical multi-robot systems. To allow for autonomous operation of such systems, planning approaches have to be investig... see more
Filip Dvorak, Maxwell Micali, Mathias Mathieug
Recent advances in additive manufacturing (AM) and 3D printing technologies have led to significant growth in the use of additive manufacturing in industry, which allows for the physical realization of previously difficult to manufacture designs. However,... see more
Anastasios Alexiadis, Ioannis Refanidis, Ilias Sakellariou
Automated meeting scheduling is the task of reaching an agreement on a time slot to schedule a new meeting, taking into account the participants’ preferences over various aspects of the problem. Such a negotiation is commonly performed in a non-automated ... see more
Christian Muise
Dead-end detection is a key challenge in automated planning, and it is rapidly growing in popularity. Effective dead-end detection techniques can have a large impact on the strength of a planner, and so the effective computation of dead-ends is central to... see more
Gregor Behnke, Susanne Biundo
-
Ingo Jost, Joao Francisco Valiati
Deep Learning has been successfully applied in hard to solve areas, such as image recognition and audioclassification. However, Deep Learning has not yet reached the same performance when employed in textual data,including Opinion Mining. In models that i... see more
Olivier Gasquet, Dominique Longin, Fr´ed´eric Maris, Pierre R´egnier, Ma¨el Valais
Considerable improvements in the technology and performance of SAT solvers has made their use possible for the resolution of various problems in artificial intelligence, and among them that of generating plans. Recently, promising Quantified Boolean Formu... see more
Paulo Vitor de Campos Souza, Augusto Junio Guimaraes, Vanessa Souza Araújo, Thiago Silva Rezende, Vinicius Jonathan Silva Araújo
This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve a lo... see more
Rey Benjamin M. Baquirin, Proceso L. Fernandez
Artificial Neural Networks (ANNs) have continued to be efficient models in solving classification problems. In this paper, we explore the use of an A NN with a small dataset to accurately classify whet her Filipino call center agents’ pronunciations are n... see more
Alberto Verdecia Cabrera, Isvani Frías Blanco, Luis Quintero Domínguez, Yanet Rodríguez Sarabia
Nowadays many sources generate massive data continuously, without control of the arrival order and at high speed. Internet, cell-phones, cars, and security sensors are examples of such sources. Because of the temporal dimension of the data (they are const... see more