Jornada GIC random forests 2012-01-27

objetivo

El objetivo de la jornada es hacer un repaso al estado del arte sobre random forests (y sistemas de clasificación basados en ensambles?). El metodo de trabajo consiste en la presentación por parte de todos los presentes de resumenes de articulos recientes

distribución de articulos a presentar

• Ana I. Gonzalez
  • experimental comparison on ensembles of trees [1]
  • rotation forest empirical [2]

• Josu Maiora
  • tutorial de Criminisi, clasificiacion y regresion [3]

• Borja Ayerdi
  • random feature weights [4]

• Iñigo Barandiaran
  • tutorial de Criminisi, density, manyfold, semisupervised [5]

• Borja Fernandez-Gauna

• Jose Manuel Lopez-Guede
  • data mining [6]

• Israel Rebollo
  • fuzzy random forests [7]

• Darya Chyzhyk
  • incremental ensembles [8]

• Elsa Fernandez
  • seleccion de variables usando RF [9]

• Maite Termenon
  • varianza residual [10]

• Ramón Moreno

• Miguel A. Veganzones
  • gene functional inference [11]

• Ion Marques
  • ensembles from fuzzy clustering [12]

• Eider Sanchez

• Alexandre Savio:
  • Ting Agregacion de subespacios de features [13]

referencias

• Groupware general [14]
• Breiman, el padre de la criatura, bagging [15], random forests [16]. Groupware [17]
• tutorial de Criminisi [18], slides [19], pagina personal [20]

aplicaciones

• analisis de accidentes [21]
• ingenieria mecanica [22]
• ingenieria financiera [23], [24], [25], [26]

• modelos de lenguage [27]

• biologicas, medicas y ecologicas [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], genomics [38], breast cancer [39], [40], cardiac arrythmia [41], [42], soil texture [43], [44], apendicitis [45], pulmones [46], cancer [47]

• quimica [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58],

• data mining [59],

• neurociencias [60], [61], [62]

• imagen de reconocimiento remoto, remote sensing, [63], [64], [65], [66], [67], land slides [68], [69], [70], [71]