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]
  • multilabel y heterogeneos [4]

• Borja Ayerdi
  • random feature weights [5]

• Iñigo Barandiaran
  • tutorial de Criminisi, density, manyfold, semisupervised [6]
  • prehistoria ?? [7]

• Borja Fernandez-Gauna
  • learning areas of expertise [8]
  • building by reward-punishment [9]

• Jose Manuel Lopez-Guede
  • data mining [10]
  • pruning con reinforcement learning [11]

• Israel Rebollo
  • fuzzy random forests [12]

• Darya Chyzhyk
  • incremental ensembles [13]
  • subspace projections [14], [15]

• Elsa Fernandez
  • seleccion de variables usando RF [16]
  • diversidad [17], [18]

• Maite Termenon
  • varianza residual [19]
  • streaming random forests [20]

• Ramón Moreno
  • overfitting cautious [21]

• Miguel A. Veganzones
  • gene functional inference [22]
  • rotation forests [23]

• Ion Marques
  • ensembles from fuzzy clustering [24]
  • action detection [25]

• Eider Sanchez
  • dynamic ensemble [26]
  • aplicaciones generales [27]

• Alexandre Savio:
  • Ting Agregacion de subespacios de features [28]
  • comparison [29]
  • breiman [30]

referencias

• Groupware general [31]
• Breiman, el padre de la criatura, bagging [32], random forests [33]. Groupware [34]
• tutorial de Criminisi [35], slides [36], pagina personal [37]

aplicaciones [38]

• analisis de accidentes [39]
• ingenieria mecanica [40]
• ingenieria financiera [41], [42], [43], [44], [45], [46], [47], [48], [49], [50]

• modelos de lenguage [51], [52], [53],

• biologicas, medicas y ecologicas [54], [55], [56], [57], [58], [59], [60], [61], [62], [63], [64], genomics [65], [66], [67], [68], breast cancer [69], [70], [71], cardiac arrythmia [72], [73], [74], [75], soil texture [76], [77], apendicitis [78], pulmones [79], cancer [80], glaucoma [81], colon cells [82], higado [83], piel [84], de todo ?? [85], celulas [86]

• quimica [87], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99]

• data mining [100],

• neurociencias [101], [102], [103], fMRI [104], [105], [106], [107], [108], [109], [110], brain extraction [111]

• imagen de reconocimiento remoto, remote sensing, [112], [113], [114], [115], [116], land slides [117], [118], [119], [120], [121], hypespectral data [122], [123], SAR [124]

• pattern recognition [125], [126], biometric data [127], hadwritng [128], signature [129], objetos y acciones [130], [131]

• intrusion detection [132]