Seminarium TIB PAN: propozycje referatów

  • Data streams/concept drift: D. Brzeziński, J. Stefanowski (2016) 'Prequential AUC'
  • Multilabel classification: K. Dembczyński et al (2010) 'Bayes Optimal Multilabel Classification'
  • Committees of classifiers (xgboost): T. Chen, C. Guestrin (2016) 'Xgboost'
  • One-shot learning: Lake et al (2015) 'Human level concept learning'
  • Positive-Unlabeled Learning: Baker and Davis (2018) 'Learning from positive and und unlabeled data'
  • Semi-supervised learning in cluster analysis: Melacci and Belkin (2011) 'Laplacian SVM'
  • Spectral clustering: Shi et al (2009) "Data spectroscopy'
  • Clutering via joint-between distances: Szekely and Rizzo (2005) 'Hierarchical clustering via joint-between distances'
  • Info-theoretical clustering: Faivishevsky and Goldberger (2010) 'A Nonparametric Information Theoretic Clustering Algorithm'
  • Clustering on subsets of attributes : Friedman and Meulman (2004) 'Clustering on subsets of attributes (with implementation in R, 2017)'
  • Detecting novel associations in large data sets: Reshef et al (2011) 'Detecting novel associations in large data sets'
  • Genetic dependencies in heterogenous populations : Storey et al (2016) 'Probabilistic models of genetic variation'
  • Density estimation trees: Ram and Gray (2010)'Density estimation trees'
  • Multiple testing problem Dudoit et al (2003)'Multiple hypothesis testing'
  • Very Fast Decision Trees: Jaworski et al (2018) 'New splitting criteria for decision trees'
  • Synthetic lethality: Matlak, Szczurek (2017) 'Episatasis in genomic and survival data'
  • Nonparametric graphical models: Lafferty et al(2015) 'Forest density estimation'
  • Causal structure learning: Colombo and Maathuis (2014)'Causal structure learning'
  • Cotraining: Yu et al (2011)'Bayesian cotraining'
  • Active ranking: Jamieson and Novak (2011)'Active Ranking using Pairwise Comparisons'
  • Monte Carlo feature selection Dramiński, Koronacki (2019) 'MC feature selection and interdependency discovery'
  • Information-based feature selection Mielniczuk, Teisseyre (2019) 'Mutual information-based feature selection'
  • slides PU