All Stories

  1. Multimodal AI for forecasting COVID‑19 mortality
  2. How AI spots and explains malicious Android apps
  3. Artificial intelligence in medicine: Recommendations and guiding principles from SIMI
  4. Predicting hospital admissions with LLM during emergency care
  5. GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images
  6. Striving for Simplicity in Deep Neural Models Trained for Malware Detection
  7. PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks
  8. JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction
  9. Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection
  10. Sentinel-2 satellite images reveal forest dieback caused by bark beetles
  11. A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data
  12. A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
  13. DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring
  14. STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams
  15. SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning
  16. : An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images
  17. Anomaly Detection for Physical Threat Intelligence
  18. CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector
  19. GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection
  20. ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection
  21. A Multi-View Deep Learning Approach for Predictive Business Process Monitoring
  22. Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images
  23. XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity
  24. Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets
  25. A Network Intrusion Detection System for Concept Drifting Network Traffic Data
  26. Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems
  27. A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico
  28. Multi-Channel Deep Feature Learning for Intrusion Detection
  29. Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images
  30. ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs
  31. Exploiting causality in gene network reconstruction based on graph embedding
  32. Spatial autocorrelation and entropy for renewable energy forecasting
  33. Distributed Learning of Process Models for Next Activity Prediction
  34. Identifying lncRNA-Disease Relationships via Heterogeneous Clustering
  35. Leveraging correlation across space and time to interpolate geophysical data via CoKriging
  36. Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system
  37. Discovering and Tracking Organizational Structures in Event Logs
  38. Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery
  39. CloFAST: closed sequential pattern mining using sparse and vertical id-lists
  40. ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks
  41. Collective regression for handling autocorrelation of network data in a transductive setting
  42. Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome
  43. Relational mining for discovering changes in evolving networks
  44. Discovering Variability Patterns for Change Detection in Complex Phenotype Data
  45. Hierarchical Multidimensional Classification of Web Documents with MultiWebClass
  46. Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning
  47. Dealing with temporal and spatial correlations to classify outliers in geophysical data streams
  48. Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering
  49. A parallel algorithm for approximate frequent itemset mining using MapReduce
  50. A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants
  51. Automatic Extraction of Logical Web Lists
  52. Collective Inference for Handling Autocorrelation in Network Regression
  53. EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy
  54. Innovative power operating center management exploiting big data techniques
  55. Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data
  56. Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach
  57. Mining Dense Regions from Vehicular Mobility in Streaming Setting
  58. Mining Temporal Evolution of Entities in a Stream of Textual Documents
  59. Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database
  60. Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks
  61. Process Mining to Forecast the Future of Running Cases
  62. Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
  63. Summarizing numeric spatial data streams by trend cluster discovery
  64. Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering
  65. Using trend clusters for spatiotemporal interpolation of missing data in a sensor network
  66. A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes
  67. An Intelligent Technique for Forecasting Spatially Correlated Time Series
  68. Dealing with spatial autocorrelation when learning predictive clustering trees
  69. Discovering Evolution Chains in Dynamic Networks
  70. Document Image Understanding through Iterative Transductive Learning
  71. Enhancing Regression Models with Spatio-temporal Indicator Additions
  72. Learning Hierarchical Multi-label Classification Trees from Network Data
  73. Predictive Regional Trees to Supplement Geo-Physical Random Fields
  74. Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages
  75. Preface to the Seventh Workshop on Spatial and Spatio-Temporal Data Mining -- SSTDM 2012
  76. Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents
  77. Guest editors’ introduction: special issue of selected papers from ECML PKDD 2011
  78. Guest Editors’ Introduction: special issue of selected papers from ECML PKDD 2011
  79. Trend cluster based interpolation everywhere in a sensor network
  80. Process Mining Manifesto
  81. An Intelligent System for Real Time Fault Detection in PV Plants
  82. An Unsupervised Framework for Topological Relations Extraction from Geographic Documents
  83. Continuously Mining Sliding Window Trend Clusters in a Sensor Network
  84. Dealing with Spatial Autocorrelation in Gene Flow Modeling
  85. Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions
  86. Learning and Transferring Geographically Weighted Regression Trees across Time
  87. Learning to Rank from Concept-Drifting Network Data Streams
  88. Mining Ranking Models from Dynamic Network Data
  89. Transductive Relational Classification in the Co-training Paradigm
  90. Trend Cluster Based Kriging Interpolation in Sensor Data Networks
  91. Discovering process models through relational disjunctive patterns mining
  92. Trend cluster based compression of geographically distributed data streams
  93. Growing parallel paths for entity-page discovery
  94. HyLiEn
  95. A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
  96. A Temporal Data Mining Framework for Analyzing Longitudinal Data
  97. Extracting General Lists from Web Documents: A Hybrid Approach
  98. FAST Sequence Mining Based on Sparse Id-Lists
  99. Global and Local Spatial Autocorrelation in Predictive Clustering Trees
  100. MBlab: Molecular Biodiversity Laboratory
  101. OLAP over Continuous Domains via Density-Based Hierarchical Clustering
  102. Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams
  103. Project D.A.M.A.: Document Acquisition, Management and Archiving
  104. Relational Mining in Spatial Domains: Accomplishments and Challenges
  105. Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes
  106. Transductive Learning of Logical Structures from Document Images
  107. Mapping web pages to database records via link paths
  108. Mining Spatial Association Rules for Composite Motif Discovery
  109. Complex objects ranking
  110. Transductive learning for spatial regression with co-training
  111. A Relational Approach for Discovering Frequent Patterns with Disjunctions
  112. Mining Physiological Data for Discovering Temporal Patterns on Disease Stages
  113. Summarization for Geographically Distributed Data Streams
  114. Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion
  115. Transductive Learning for Spatial Data Classification
  116. Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining
  117. A relational approach to probabilistic classification in a transductive setting
  118. A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines
  119. A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
  120. A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology
  121. An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
  122. Approximate Frequent Itemset Discovery from Data Stream
  123. Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies
  124. Novelty Detection from Evolving Complex Data Streams with Time Windows
  125. Relational Frequent Patterns Mining for Novelty Detection from Data Streams
  126. A KDD Platform Based on the Application Service Provider Paradigm
  127. Discovering Triggering Events from Longitudinal Data
  128. Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
  129. A relational perspective on spatial data mining
  130. Machine Learning for Reading Order Detection in Document Image Understanding
  131. Discovering Spatio-Textual Association Rules in Document Images
  132. A Data Mining Approach to Reading Order Detection
  133. Grid-based data mining for market basket analysis in the retail sector
  134. Mining geospatial data in a transductive setting
  135. RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING
  136. An Integrated Platform for Spatial Data Mining within a GIS Environment
  137. Classifying web documents in a hierarchy of categories: a comprehensive study
  138. Dissimilarity and Matching
  139. Exporting Symbolic Objects to Databases
  140. A Data Mining Methodology for Anomaly Detection in Network Data
  141. Introduction to the special issue
  142. Mining spatio-temporal data
  143. Using colour information to understand censorship cards of film archives
  144. A color-based layout analysis to process censorship cards of film archives
  145. Mining Model Trees from Spatial Data
  146. Mining Relational Association Rules for Propositional Classification
  147. Relational learning techniques for document image understanding: comparing statistical and logical approaches
  148. Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding
  149. Inducing Multi-Level Association Rules from Multiple Relations
  150. Top-down induction of model trees with regression and splitting nodes
  151. Empowering a GIS with inductive learning capabilities: the case of INGENS
  152. Machine learning in computer vision
  153. Transforming paper documents into XML format with WISDOM++
  154. The effects of pruning methods on the predictive accuracy of induced decision trees
  155. Machine learning for intelligent document processing: The WISDOM system
  156. Adding machine learning and knowledge intensive techniques to a digital library service
  157. A comparative analysis of methods for pruning decision trees
  158. Revision of logical theories
  159. Classification in noisy environments using a distance measure between structural symbolic descriptions
  160. A Grid-Based Multi-relational Approach to Process Mining
  161. Discovering Emerging Patterns for Anomaly Detection in Network Connection Data
  162. Discovering Explanations from Longitudinal Data
  163. Emerging Pattern Based Classification in Relational Data Mining
  164. Learning to Order: A Relational Approach
  165. Stepwise Induction of Logistic Model Trees
  166. Top-Down Induction of Relational Model Trees in Multi-instance Learning
  167. Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation
  168. Correcting the document layout: a machine learning approach
  169. Automated discovery of dependencies between logical components in document image understanding