All Stories

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