This paper was presented last 9-July-2018 at Valencia, as part of the stream Data Mining and Statistics.
A data-mining based process to early identify breast cancer from metabolomic data
We present the results yielded by our multidisciplinary group in the task of discriminating blood samples coming from breast cancer patients and healthy people. Models used to classify samples have been built using data mining techniques; data have been collected by means of liquid chromatography-mass spectrometry, a technique that detects and quantifies the metabolites present in blood samples.
Different algorithms have been tested under 10-CV and 75/25 scenarios. Our experiments showed that IBk, and J48 and Logistic Model Trees yielded rates greater than 90% only for healthy people. Naive Bayes and Random Forest enhanced the previous results in the 10-CV approach, but they did not yield more than 85% of true positives for patients in the 75/25 one. Finally, Bayesian network resulted to be the best algorithm as rates greater than 90% were yielded for both patients and rest of the people.
Many statistics have been computed as well as confusion matrices, showing that the model built by Bayesian network can effectively be used to solve this problem. Currently, the metabolites used to do built the model are being identified by biochemists. This last step will be definitive in order to consider them as a valid biomarker for breast cancer.
En el marco del congreso CIMAS 21, que se celebrará en Granada, haré una presentación sobre las posibilidades de nuestro sistema de detección de tramas WiFi y Bluetooth, del que ya hemoshablado varias veces.
La presentación se centrará en los aspectos más analíticos de la plataforma, viendo las posibilidades que puede tener para un destino turístico con énfasis deportivo.
The European Conference on Artificial Life or ECAL is not one of our usual suspects. Although we have attended from time to time, and even organized it back in 95 (yep, that is a real web page from 1995, minus the slate gray background), it is a conference I quite enjoy, together with other artificial life related conferences. Artificial life was quite the buzzword in the 90s, but nowadays with all the deep learning and AI stuff it has gone out of fashion. Last time I attended,ten years ago, it seemed more crowded. Be that as it may, I have presented a tutorial and a poster about our work on looking for critical state in software repositories. This the poster itself, and there is a link to the open access proceedings, although, as you know, all our papers are online and you can obtain that one (and a slew of other ones) from repository.
This is a line of research we have been working on for a year now, from this initial paper were we examined a single repository for the Moose Perl module. We are looking for patterns that allow us to say whether repositories are in a critical state or not. Being as they are completely artificial systems, engineering artefacts, looking for self organized criticality might seem like a lost cause. On the other hand, it really clicks with our own experience when writing a paper or anything, really. You write in long stretches, and then you do small sessions where you change a line or two.
This paper, which looks at all kinds of open source projects, from Docker to vue.js, looks at three different things: long distance correlations, free-scale behavior of changes, and a pink noise in the spectral density of the time series of changes. And we do find it, almost everywhere. Most big repos, with more than a few hundred commits, possess it, independently of their language or origin (hobbyist or company).
There is still a lot of work ahead. What are the main mechanisms for this self-organization? Are there any exceptions? That will have to wait until the next conference.
It was presented in poster form, and you had to be there to actually understand it. Since you are not, it’s better if you use this comments (or those at the poster) to inquire about it. Or you can check out the interactive presentation we also did, which in fact includes data and everything in the source.
This work is ongoing, and you are very welcome to participate. Just take a peek at the repo, and do a pull request.
El jueves 26 de noviembre de 2015 celebramos en la Sala de Usos Múltiples del CITIC-UGR (C/ Periodista Rafael Gómez, nº 2) la Jornada sobre Smart Cities y Movilidad, enmarcada en el Programa De Ayudas Genil Para Realización De Actividades Por Grupos De Investigación Interdiciplinares (RAGII-2015).
El objeto de esta Jornada fue la investigación en el área de la gestión de la movilidad, internet de las cosas y smart cities.
A lo largo de la mañana asistimos a varias conferencias, impartidas por responsables del Area de Movilidad del Ayuntamiento de Granada, de varias empresas, así como por parte de investigadores de la Universidad de Granada en este ámbito.
Los objetivos finales fueron crear sinergia entre los diversos grupos de investigación y empresas de este área, así como facilitar el contacto de cara a promover colaboraciones, tales como solicitar proyectos, o realizar transferencia de conocimiento a partir de los resultados de investigación.
El desarrollo de la Jornada se basó en presentaciones de unos 40 minutos, en las que el ponente, por parte del Área de Movilidad del Ayuntamiento de Granada, Nazaríes, UXMobile, Geokeda, e investigadores de los grupos de investigación, comentaron los proyectos en los que trabajan actualmente en el área de las smart cities, así como las problemáticas, y los retos a los que se enfrentan.
The deadline for submitting your paper to EvoGAMES (and the rest of Evo*) is now set (1 November).
EvoGAMES is a track of the European Conference on the Applications of Evolutionary Computation focused on the applications of bio-inspired algorithms in games.
The areas of interest for the track include, among others:
– Computational Intelligence in video games – Intelligent avatars and new forms of player interaction – Player experience measurement and optimization – Procedural content generation – Human-like artificial adversaries and emotion modelling – Authentic movement, believable multi-agent control – Experimental methods for gameplay evaluation – Evolutionary testing and debugging of games – Adaptive and interactive narrative and cinematography – Games related to social, economic, and financial simulations – Adaptive educational, serious and/or social games – General game intelligence (e.g. general purpose drop-n-play Non-Player Characters, NPCs) – Monte-Carlo tree search (MCTS) – Affective computing in Games
Important dates are:
– Submission of papers: 1 November 2015
– Notification: 4 January 2015
– Camera-ready: 18 January 2015
– Evo* dates: 30 March – 1 April 2016
This year, the page limit has been increased up to 16 pages, so you could write more and more scientific content. :D
As usual, the accepted submissions will be included in the proceedings of Evo*, published in a volume of the Springer Lecture Notes in Computer Science.