All Stories

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