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