All Stories

  1. TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data
  2. TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
  3. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
  4. Calibrating Probability with Undersampling for Unbalanced Classification
  5. Integrated Reconfigurable Coherent Transmitter Driven by Binary Signals
  6. Credit card fraud detection and concept-drift adaptation with delayed supervised information
  7. The bias–variance decomposition in profiled attacks
  8. Using shRNA experiments to validate gene regulatory networks
  9. When is Undersampling Effective in Unbalanced Classification Tasks?
  10. Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis)
  11. An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios
  12. Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer
  13. A machine learning approach against a masked AES
  14. Learned lessons in credit card fraud detection from a practitioner perspective
  15. A Monte Carlo strategy for structured multiple-step-ahead time series prediction
  16. Using HDDT to avoid instances propagation in unbalanced and evolving data streams
  17. Relevance of different prior knowledge sources for inferring gene interaction networks
  18. Inference and validation of predictive gene networks from biomedical literature and gene expression data
  19. Association between thePNPLA3(rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta-analysis of individual participant data
  20. Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference
  21. Power analysis attack: an approach based on machine learning
  22. A Machine Learning Approach Against a Masked AES
  23. A Machine Learning Approach Against a Masked AES
  24. On the Null Distribution of the Precision and Recall Curve
  25. Information-Theoretic Gene Selection In Expression Data
  26. Chapter 7: On the Integration of Prior Knowledge in the Inference of Regulatory Networks
  27. Stability of feature selection algorithms for classification in high-throughput genomics datasets
  28. Comparison and validation of genomic predictors for anticancer drug sensitivity
  29. Une plate-forme technologique liée à la paralysie cérébrale
  30. Machine Learning Strategies for Time Series Forecasting
  31. Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data
  32. A Time Series Approach for Profiling Attack
  33. Semi-Supervised Template Attack
  34. Racing for Unbalanced Methods Selection
  35. Prediction-Based Data Collection in Wireless Sensor Networks
  36. D-peaks: A visual tool to display ChIP-seq peaks along the genome
  37. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
  38. Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
  39. Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games
  40. Recursive Multi-step Time Series Forecasting by Perturbing Data
  41. Fourier spectral factor model for prediction of multidimensional signals
  42. Conditionally dependent strategies for multiple-step-ahead prediction in local learning
  43. Transcriptional Network Inference Based on Information Theory
  44. Multiple-input multiple-output causal strategies for gene selection
  45. An Optimal Stopping Strategy for Online Calibration in Local Search
  46. A Selecting-the-Best Method for Budgeted Model Selection
  47. A dynamic programming strategy to balance exploration and exploitation in the bandit problem
  48. Multiple-output modeling for multi-step-ahead time series forecasting
  49. Demonstrating principal component aggregation for distributed spatial pattern recognition
  50. A fuzzy gene expression-based computational approach improves breast cancer prognostication
  51. Static and Dynamic Localization Techniques for Wireless Sensor Networks
  52. Long-term prediction of time series by combining direct and MIMO strategies
  53. Galectin 1 Proangiogenic and Promigratory Effects in the Hs683 Oligodendroglioma Model Are Partly Mediated through the Control of BEX2 Expression
  54. An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models
  55. Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae
  56. On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information
  57. Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks
  58. Distributed Principal Component Analysis for Wireless Sensor Networks
  59. UNBS5162, a Novel Naphthalimide That Decreases CXCL Chemokine Expression in Experimental Prostate Cancers
  60. Evidence of galectin-1 involvement in glioma chemoresistance☆
  61. Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity
  62. Knocking Down Galectin 1 in Human Hs683 Glioblastoma Cells Impairs Both Angiogenesis and Endoplasmic Reticulum Stress Responses
  63. New Routes from Minimal Approximation Error to Principal Components
  64. Data-driven calibration of power conductors thermal model for overhead lines overload protection
  65. Comparison of prognostic gene expression signatures for breast cancer
  66. Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
  67. Improving the Exploration Strategy in Bandit Algorithms
  68. minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information
  69. Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiae
  70. Adaptive model selection for time series prediction in wireless sensor networks
  71. 4-IBP, a σ1 Receptor Agonist, Decreases the Migration of Human Cancer Cells, Including Glioblastoma Cells, In Vitro and Sensitizes Them In Vitro and In Vivo to Cytotoxic Insults of Proapoptotic and Proautophagic Drugs
  72. A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data
  73. Information-Theoretic Inference of Large Transcriptional Regulatory Networks
  74. Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification
  75. On the Use of Variable Complementarity for Feature Selection in Cancer Classification
  76. Simulating continuous dynamical systems under conditions of uncertainty: the probability and the possibility approaches
  77. Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches
  78. Enabling Multimedia QoS Control with Black-Box Modelling
  79. The local paradigm for modeling and control: from neuro-fuzzy to lazy learning
  80. Lazy learning for local modelling and control design
  81. Recursive lazy learning for modeling and control
  82. Now comes the time to defuzzify neuro-fuzzy models
  83. A qualitative simulation approach for fuzzy dynamical models
  84. Machine Learning for Automated Polyp Detection in Computed Tomography Colonography
  85. Machine Learning Techniques for Decision Support in Anesthesia
  86. Combining Lazy Learning, Racing and Subsampling for Effective Feature Selection
  87. Biological Network Inference Using Redundancy Analysis
  88. Nested q-Partial Graphs for Genetic Network Inference from ”Small n, Large p” Microarray Data
  89. Machine Learning for Automated Polyp Detection in Computed Tomography Colonography
  90. A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets