All Stories

  1. Assessment of catastrophic forgetting in continual credit card fraud detection
  2. Transfer learning-based methodologies for Dynamic Thermal Rating of transmission lines
  3. Instance-based meta-learning for conditionally dependent univariate multi-step forecasting
  4. Traffic Simulation with Incomplete Data: the Case of Brussels
  5. Estimating pitting descriptors of 316 L stainless steel by machine learning and statistical analysis
  6. Extraction and analysis of flow features in planar synthetic jets using different machine learning techniques
  7. Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
  8. Probing the randomness of the local current distributions of 316 L stainless steel corrosion in NaCl solution
  9. Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment
  10. An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection
  11. Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods
  12. The role of diversity and ensemble learning in credit card fraud detection
  13. Machine learning for time series: from forecasting to causal inference
  14. DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting
  15. A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines
  16. Riemannian classification of single-trial surface EEG and sources during checkerboard and navigational images in humans
  17. Factor-Based Framework for Multivariate and Multi-step-ahead Forecasting of Large Scale Time Series
  18. Does AutoML Outperform Naive Forecasting?
  19. Incremental learning strategies for credit cards fraud detection
  20. The CLAIRE COVID-19 initiative: approach, experiences and recommendations
  21. AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting
  22. Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention
  23. Transfer Learning Strategies for Credit Card Fraud Detection
  24. Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State Discrimination
  25. Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons
  26. Incremental learning strategies for credit cards fraud detection: Extended abstract
  27. On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks
  28. EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband
  29. Interpreting pathways to discover cancer driver genes with Moonlight
  30. Comments on M4 competition
  31. Combining unsupervised and supervised learning in credit card fraud detection
  32. Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection
  33. New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx
  34. A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting
  35. The Induction Problem: A Machine Learning Vindication Argument
  36. From Dependency to Causality: A Machine Learning Approach
  37. Cluster Analysis of On-Board-Unit Truck Big Data from the Brussels Capital Region
  38. On-Board-Unit Data: A Big Data Platform for Scalable storage and Processing
  39. Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting
  40. Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
  41. Comprehensive identification of long noncoding RNAs in colorectal cancer
  42. Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization
  43. SCARFF : A scalable framework for streaming credit card fraud detection with spark
  44. TCGAbiolinksGUI: A graphical user interface to analyze cancer molecular and clinical data
  45. Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
  46. Protect us from poor-quality medical research
  47. In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer
  48. Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis
  49. Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis
  50. Feature Selection in High-Dimensional Dataset Using MapReduce
  51. Role of muscarinic receptors in the contraction of jejunal smooth muscle in the horse: An in vitro study
  52. A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting
  53. An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection
  54. Novel promoters and coding first exons in DLG2 linked to developmental disorders and intellectual disability
  55. DNA methylation–based immune response signature improves patient diagnosis in multiple cancers
  56. CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization
  57. Study of Meta-analysis strategies for network inference using information-theoretic approaches
  58. SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA Data
  59. TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
  60. How interacting pathways are regulated by miRNAs in breast cancer subtypes
  61. Portraying breast cancers with long noncoding RNAs
  62. Study of Meta-analysis Strategies for Network Inference Using Information-Theoretic Approaches
  63. TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
  64. Predictive Modeling in a Big Data Distributed Setting: A Scalable Bias Correction Approach
  65. A Blocking Strategy for Ranking Features According to Probabilistic Relevance
  66. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
  67. Calibrating Probability with Undersampling for Unbalanced Classification
  68. Integrated Reconfigurable Coherent Transmitter Driven by Binary Signals
  69. Credit card fraud detection and concept-drift adaptation with delayed supervised information
  70. The bias–variance decomposition in profiled attacks
  71. Using shRNA experiments to validate gene regulatory networks
  72. Determinants of community structure in the global plankton interactome
  73. When is Undersampling Effective in Unbalanced Classification Tasks?
  74. Template Attacks vs. Machine Learning Revisited (and the Curse of Dimensionality in Side-Channel Analysis)
  75. An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios
  76. Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast Cancer
  77. A machine learning approach against a masked AES
  78. Learned lessons in credit card fraud detection from a practitioner perspective
  79. A Monte Carlo strategy for structured multiple-step-ahead time series prediction
  80. Using HDDT to avoid instances propagation in unbalanced and evolving data streams
  81. Relevance of different prior knowledge sources for inferring gene interaction networks
  82. Inference and validation of predictive gene networks from biomedical literature and gene expression data
  83. Association between thePNPLA3(rs738409 C>G) variant and hepatocellular carcinoma: Evidence from a meta-analysis of individual participant data
  84. Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference
  85. Power analysis attack: an approach based on machine learning
  86. A Machine Learning Approach Against a Masked AES
  87. A Machine Learning Approach Against a Masked AES
  88. On the Null Distribution of the Precision and Recall Curve
  89. Information-Theoretic Gene Selection In Expression Data
  90. Chapter 7: On the Integration of Prior Knowledge in the Inference of Regulatory Networks
  91. Genome-wide gene expression profiling to predict resistance to anthracyclines in breast cancer patients
  92. Stability of feature selection algorithms for classification in high-throughput genomics datasets
  93. A comprehensive overview of Infinium HumanMethylation450 data processing
  94. mRMRe: an R package for parallelized mRMR ensemble feature selection
  95. Comparison and validation of genomic predictors for anticancer drug sensitivity
  96. Une plate-forme technologique liée à la paralysie cérébrale
  97. Machine Learning Strategies for Time Series Forecasting
  98. Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data
  99. A Time Series Approach for Profiling Attack
  100. Semi-Supervised Template Attack
  101. Racing for Unbalanced Methods Selection
  102. Prediction-Based Data Collection in Wireless Sensor Networks
  103. Prediction-Based Data Collection in Wireless Sensor Networks
  104. D-peaks: A visual tool to display ChIP-seq peaks along the genome
  105. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
  106. Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
  107. A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes
  108. Time Series Prediction for Energy-Efficient Wireless Sensors: Applications to Environmental Monitoring and Video Games
  109. Recursive Multi-step Time Series Forecasting by Perturbing Data
  110. Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks
  111. Fourier spectral factor model for prediction of multidimensional signals
  112. Conditionally dependent strategies for multiple-step-ahead prediction in local learning
  113. Transcriptional Network Inference Based on Information Theory
  114. Multifactorial Approach to Predicting Resistance to Anthracyclines
  115. Multiple-input multiple-output causal strategies for gene selection
  116. An Optimal Stopping Strategy for Online Calibration in Local Search
  117. A Selecting-the-Best Method for Budgeted Model Selection
  118. STAT1 Is a Master Regulator of Pancreatic β-Cell Apoptosis and Islet Inflammation
  119. Long-term In Vitro Treatment of Human Glioblastoma Cells with Temozolomide Increases Resistance In Vivo through Up-regulation of GLUT Transporter and Aldo-Keto Reductase Enzyme AKR1C Expression
  120. A dynamic programming strategy to balance exploration and exploitation in the bandit problem
  121. Multiple-output modeling for multi-step-ahead time series forecasting
  122. Demonstrating principal component aggregation for distributed spatial pattern recognition
  123. A fuzzy gene expression-based computational approach improves breast cancer prognostication
  124. Long-term Temozolomide Treatment Induces Marked Amino Metabolism Modifications and an Increase in TMZ Sensitivity in Hs683 Oligodendroglioma Cells
  125. A Meta-Analysis of Gene Expression Profiling Studies Identifies Clinically Relevant Oncogenic Pathways in Basal-Like Breast Cancer.:
  126. Limited Clinical Utility of Prognostic Gene Expression Profiles in Grade 3 Node-Negative Early Stage Breast Cancer.
  127. Static and Dynamic Localization Techniques for Wireless Sensor Networks
  128. Long-term prediction of time series by combining direct and MIMO strategies
  129. Galectin 1 Proangiogenic and Promigratory Effects in the Hs683 Oligodendroglioma Model Are Partly Mediated through the Control of BEX2 Expression
  130. An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models
  131. Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae
  132. On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information
  133. Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks
  134. Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes
  135. Distributed Principal Component Analysis for Wireless Sensor Networks
  136. A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
  137. UNBS5162, a Novel Naphthalimide That Decreases CXCL Chemokine Expression in Experimental Prostate Cancers
  138. Evidence of galectin-1 involvement in glioma chemoresistance☆
  139. Information-Theoretic Feature Selection in Microarray Data Using Variable Complementarity
  140. Knocking Down Galectin 1 in Human Hs683 Glioblastoma Cells Impairs Both Angiogenesis and Endoplasmic Reticulum Stress Responses
  141. Nucleolus and c-Myc: potential targets of cardenolide-mediated antitumor activity
  142. New Routes from Minimal Approximation Error to Principal Components
  143. Data-driven calibration of power conductors thermal model for overhead lines overload protection
  144. Comparison of prognostic gene expression signatures for breast cancer
  145. Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
  146. Improving the Exploration Strategy in Bandit Algorithms
  147. minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information
  148. Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiae
  149. Adaptive model selection for time series prediction in wireless sensor networks
  150. Biological mechanisms that trigger breast cancer (BC) tumor progression are molecular subtype dependent
  151. Transforming genomic grade index (GGI) into a user-friendly qRT-PCR tool which will assist clinicians and patients in optimizing treatment of early breast cancer (BC)
  152. 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
  153. A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data
  154. Definition of Clinically Distinct Molecular Subtypes in Estrogen Receptor–Positive Breast Carcinomas Through Genomic Grade
  155. Effect of 21 Different Nitrogen Sources on Global Gene Expression in the Yeast Saccharomyces cerevisiae
  156. Information-Theoretic Inference of Large Transcriptional Regulatory Networks
  157. An Adaptive Local Learning-Based Methodology for Voltage Regulation in Distribution Networks With Dispersed Generation
  158. Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification
  159. On the Use of Variable Complementarity for Feature Selection in Cancer Classification
  160. Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
  161. Simulation architecture for data processing algorithms in wireless sensor networks
  162. The Role of Learning Methods in the Dynamic Assessment of Power Components Loading Capability
  163. Semiphysical modelling architecture for dynamic assessment of power components loading capability
  164. Power cables' thermal protection by interval simulation of imprecise dynamical systems
  165. Simulating continuous dynamical systems under conditions of uncertainty: the probability and the possibility approaches
  166. The use of intelligent data analysis techniques for system-level design: a software estimation example
  167. Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches
  168. Enabling Multimedia QoS Control with Black-Box Modelling
  169. The local paradigm for modeling and control: from neuro-fuzzy to lazy learning
  170. Data-Driven Techniques for Divide and Conquer Adaptive Control
  171. Lazy learning for local modelling and control design
  172. Local Learning for Nonlinear Control
  173. Recursive lazy learning for modeling and control
  174. Now comes the time to defuzzify neuro-fuzzy models
  175. Now Comes the Time to Defuzzify Neuro-Fuzzy Models
  176. A qualitative simulation approach for fuzzy dynamical models
  177. Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study
  178. Machine Learning for Automated Polyp Detection in Computed Tomography Colonography
  179. Machine Learning Techniques for Decision Support in Anesthesia
  180. Combining Lazy Learning, Racing and Subsampling for Effective Feature Selection
  181. Biological Network Inference Using Redundancy Analysis
  182. Nested q-Partial Graphs for Genetic Network Inference from ”Small n, Large p” Microarray Data
  183. Machine Learning for Automated Polyp Detection in Computed Tomography Colonography
  184. A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets
  185. A data analysis method for software performance prediction
  186. Adaptive memory based regression methods