Exploring Symmetry of Binary Classification Performance Metrics

Selecting the proper performance metric constitutes a key issue for most classification problems in the field of machine learning. Although the specialized literature has addressed several topics regarding these metrics, their symmetries have yet to be systematically studied. This research focuses on ten metrics based on a binary confusion matrix and their symmetric behaviour is formally defined under all types of transformations. Through simulated experiments, which cover the full range of datasets and classification results, the symmetric behaviour of these metrics is explored by exposing them to hundreds of simple or combined symmetric transformations. Cross-symmetries among the metrics and statistical symmetries are also explored. The results obtained show that, in all cases, three and only three types of symmetries arise: labelling inversion (between positive and negative classes); scoring inversion (concerning good and bad classifiers); and the combination of these two inversions. Additionally, certain metrics have been shown to be independent of the imbalance in the dataset and two cross-symmetries have been identified. The results regarding their symmetries reveal a deeper insight into the behaviour of various performance metrics and offer an indicator to properly interpret their values and a guide for their selection for certain specific applications.University of Seville (Spain) by Telefónica Chair “Intelligence in Networks

Role of SODC protein in antineoplastic drug resistance

Cells need homeostasis to survive, therefore, they use the different pathways available to obtain it. The SODC protein overexpression, which is implicated in this process, suggests that could be implicated in the process of acquisition resistance during chemotherapy.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Identification and processing of side narratives in videogames

Trabajo de Fin de Grado en Desarrollo de Videojuegos y Grado en Ingeniería del Software, Facultad de Informática UCM, Departamento de Ingeniería del Software e Inteligencia Artificial, Curso 2020/2021La narrativa es un campo muy complejo y con mucha profundidad. A la hora de contar una historia entran en acción muchas variables y parámetros que no son visibles a primera vista, como narrativas secundarias o pequeñas desviaciones de la narrativa principal. En la literatura y la investigación actual no hay muchos trabajos que se centren en el procesado computacional de narrativas secundarias, centrándose en las narrativas principales como única narrativa que afecta a una historia. En cuanto a la generación automática de historias, no hay muchos trabajos que se centren en algo diferente a generar una trama principal cuando, muchas veces, las historias y las narrativas están compuestas por diferentes tipos de narrativas o arcos narrativos. Por tanto, no hay ni muchas maneras ni muchas teorías acerca de cómo clasificar diferentes narrativas para diferenciarlas entre sí y que puedan contribuir a la construcción de una narrativa más compleja y completa. Por ello, mediante el estudio de diferentes técnicas narrativas, estructuración narrativa y técnicas de narrativa computacional, se ha implementado un motor computacional que es capaz de evaluar y cribar historias en principales y secundarias. Esto se ha hecho partiendo de la investigación realizada sobre narrativa computacional y narrativa clásica, con la que se han definido una serie de variables que, inicialmente, se creen determinantes para la clasificación. Con tal de probar que dichas variables funcionan y son correctas, se ha desarrollado un prototipo de juego simple con historias orientadas a comprobar la veracidad de cada una de las variables que componen la hipótesis de partida, realizando encuestas a los jugadores después de haber jugado para comprobar si realmente afectan a la detección y clasificación de narrativas. Tras el análisis de los datos obtenidos se ha conseguido ajustar dichas variables y añadir nuevas al proceso, implementando en el motor un algoritmo que ordena las historias aplicando estos parámetros.Depto. de Ingeniería de Software e Inteligencia Artificial (ISIA)Fac. de InformáticaTRUEunpu

Proteins involved in carbon metabolism induce bleomycin resistance

S. cerevisiae acquires bleomycin resistance after a long-term exposure to this drug which causes overexpression of TPIS protein. It could be involved in the resistance process. For this reason, it could be good candidates as bleomycin chemo-resistance biomarker. Knowing of the homologous gene in humans facilitates more studies of the expression of this protein in tumors.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Metabolism is altered in the process of drug resistance acquisition

Cells need energy to survive, therefore, they increase the different pathways available to obtain it. This suggests that the cell, due to the cytotoxicity of bleomycin, increases the routes to obtain energy. For this reason, GPM1 could be a good candidate as bleomycin chemo-resistance biomarker. Knowing of the homologous gene in humans facilitates more studies of the expression of this protein in tumors.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Analysis of Immunotherapy in ovarian cancer

There are many Immunotherapy methods in ovarian cancer. Even the immune cells themselves can be part of the immunotherapy. But also at molecular level, the immunotherapy can be applied, like maintaining damage in DNA or inhibiting certain pathways. Nevertheless, there is still needed to understand the mechanism of immunotherapy.Campus de Excelencia Internacional Andalucía Tech

Analysis of Immunotherapy in Triple negative breast cancer

TNBC cancer is complicated, most is about PD-L1 mechanism. Too many kinds of immunotherapy have been developed to treat TNCB. Nowadays, is complicated a fast and 100% accurate treatment for TNBC, because of cancer complications like metastasis. Nevertheless, metastasis is still being researched to prevent it and assure a better immunotherapy. Also, the immunotherapies must be improved too.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Analysis of Immunotherapy in hepatocellular carcinoma

One reason immunotherapy is important for Hepatocellular carcinoma, it’s because there are many immune cells in that organ. Because HCC is very aggressive, immunotherapy must be applied correctly. There are a lot of immunotherapies for all cancers, nevertheless, some has been tested for specific organs or tissues, and probably in the future, this organ-specific treatments can be applied in other tumor tissues.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Analysis of Immunotherapy in Lung cancer

There are many ways of immunotherapy for lung cancer, and that includes the use of drugs, molecular treatment, and even the combination with radiotherapy. But also, it’s important to investigate in the future the adverse effects of immunotherapy in Lung cancer to avoid breathing complications, and a way to prevent those effects.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Context Management in Mobile Environments: a Semantic Approach

This paper presents a first draft of a context management model and architecture in the scope of mobile end-user services, paying special attention to mobile scenarios and specific mobility environments. The paper describes our notion of context and presents the process followed for developing the ontologies for representing context, providing an overview of the first version of these ontologies. Besides, we propose an architecture for managing context in mobile environments, including high-level descriptions of the components that compose it, as well as some low level details regarding the contextual interfaces involved. To show the way all these components interoperate and the advantages of the defined architecture and semantic model, we describe a use case with specific implementation detail