All Stories

  1. Using language models to predict the evolution of interconnected business processes

    Article • Information Systems, December 2026, Elsevier

    Prof. Donato Malerba

  2. Preventing business process failures before they happen

    Article • July 2026, Springer Science + Business Media

    Prof. Donato Malerba

  3. AI That Learns as Business Processes Change

    Article • July 2026, Springer Science + Business Media

    Prof. Donato Malerba

  4. Predicting How 3D-Printed Components Will Behave Under Stress

    Article • July 2026, Springer Science + Business Media

    Prof. Donato Malerba

  5. AI for forecasting COVID‑19 mortality

    Article • Information Systems, July 2026, Elsevier

    Prof. Donato Malerba

  6. When Malware Fools Both AI Detection and Its Explanation

    Article • July 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  7. Focus on Data, Not Models: Principles for Better AI

    Article • Electronics, May 2026, MDPI AG

    Prof. Donato Malerba

  8. How AI spots and explains malicious Android apps

    Article • Cybersecurity, February 2026, Springer Science + Business Media

    Prof. Donato Malerba

  9. Artificial intelligence in medicine: Recommendations and guiding principles from SIMI

    Article • Internal and Emergency Medicine, December 2025, Springer Science + Business Media

    Prof. Donato Malerba

  10. Predicting hospital admissions with LLM during emergency care

    Article • Expert Systems with Applications, August 2025, Elsevier

    Prof. Donato Malerba

  11. Turning Satellite Images into Stories to Detect Forest Damage

    Article • March 2025, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  12. Simpler AI Models for More Trustworthy Malware Detection

    Article • January 2025, Springer Science + Business Media

    Prof. Donato Malerba

  13. How AI Predicts and Explains the Next Step in a Business Process

    Article • IEEE Transactions on Services Computing, November 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  14. JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction

    Article • IEEE Transactions on Services Computing, July 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  15. Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection

    Article • Future Internet, May 2024, MDPI AG

    Prof. Donato Malerba

  16. Sentinel-2 satellite images reveal forest dieback caused by bark beetles

    Article • April 2024, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  17. A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  18. A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery

    Article • January 2024, Springer Science + Business Media

    Prof. Donato Malerba

  19. DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring

    Article • Engineering Applications of Artificial Intelligence, August 2023, Elsevier

    Prof. Donato Malerba

  20. STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams

    Article • IEEE Transactions on Services Computing, July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  21. SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning

    Article • Expert Systems with Applications, March 2023, Elsevier

    Prof. Donato Malerba

  22. : An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images

    Article • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  23. Anomaly Detection for Physical Threat Intelligence

    Article • January 2023, Springer Science + Business Media

    Prof. Donato Malerba

  24. CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector

    Article • January 2023, Springer Science + Business Media

    Prof. Donato Malerba

  25. GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection

    Article • January 2023, Springer Science + Business Media

    Prof. Donato Malerba

  26. ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection

    Article • Expert Systems with Applications, September 2022, Elsevier

    Prof. Donato Malerba

  27. A Multi-View Deep Learning Approach for Predictive Business Process Monitoring

    Article • IEEE Transactions on Services Computing, July 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  28. Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images

    Article • January 2022, Springer Science + Business Media

    Prof. Donato Malerba

  29. XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity

    Article • January 2022, Springer Science + Business Media

    Prof. Donato Malerba

  30. Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets

    Article • Journal of Intelligent Information Systems, August 2021, Springer Science + Business Media

    Prof. Donato Malerba

  31. A Network Intrusion Detection System for Concept Drifting Network Traffic Data

    Article • January 2021, Springer Science + Business Media

    Prof. Donato Malerba

  32. Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems

    Article • January 2021, Springer Science + Business Media

    Prof. Donato Malerba

  33. A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  34. Multi-Channel Deep Feature Learning for Intrusion Detection

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  35. Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images

    Article • January 2020, Springer Science + Business Media

    Prof. Donato Malerba

  36. ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  37. Exploiting causality in gene network reconstruction based on graph embedding

    Article • Machine Learning, December 2019, Springer Science + Business Media

    Prof. Donato Malerba

  38. Spatial autocorrelation and entropy for renewable energy forecasting

    Article • Data Mining and Knowledge Discovery, January 2019, Springer Science + Business Media

    Prof. Donato Malerba

  39. Toward IoT-Friendly Learning Models

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  40. Distributed Learning of Process Models for Next Activity Prediction

    Article • January 2018, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  41. Identifying lncRNA-Disease Relationships via Heterogeneous Clustering

    Article • January 2018, Springer Science + Business Media

    Prof. Donato Malerba

  42. Leveraging correlation across space and time to interpolate geophysical data via CoKriging

    Article • International Journal of Geographical Information Science, September 2017, Taylor & Francis

    Prof. Donato Malerba

  43. Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system

    Article • Machine Learning, March 2016, Springer Science + Business Media

    Prof. Donato Malerba

  44. Discovering and Tracking Organizational Structures in Event Logs

    Article • January 2016, Springer Science + Business Media

    Prof. Donato Malerba

  45. Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery

    Article • January 2016, Springer Science + Business Media

    Prof. Donato Malerba

  46. CloFAST: closed sequential pattern mining using sparse and vertical id-lists

    Article • Knowledge and Information Systems, October 2015, Springer Science + Business Media

    Prof. Donato Malerba

  47. ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks

    Article • BMC Bioinformatics, June 2015, Springer Science + Business Media

    Prof. Donato Malerba

  48. Collective regression for handling autocorrelation of network data in a transductive setting

    Article • Journal of Intelligent Information Systems, May 2015, Springer Science + Business Media

    Prof. Donato Malerba

  49. Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome

    Article • Journal on Computing and Cultural Heritage, February 2015, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  50. Relational mining for discovering changes in evolving networks

    Article • Neurocomputing, February 2015, Elsevier

    Prof. Donato Malerba

  51. Discovering Variability Patterns for Change Detection in Complex Phenotype Data

    Article • January 2015, Springer Science + Business Media

    Prof. Donato Malerba

  52. Hierarchical Multidimensional Classification of Web Documents with MultiWebClass

    Article • January 2015, Springer Science + Business Media

    Prof. Donato Malerba

  53. Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning

    Article • January 2015, Springer Science + Business Media

    Prof. Donato Malerba

  54. Dealing with temporal and spatial correlations to classify outliers in geophysical data streams

    Article • Information Sciences, November 2014, Elsevier

    Prof. Donato Malerba

  55. Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering

    Article • Data Mining and Knowledge Discovery, July 2014, Springer Science + Business Media

    Prof. Donato Malerba

  56. A parallel algorithm for approximate frequent itemset mining using MapReduce

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  57. A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  58. Automatic Extraction of Logical Web Lists

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  59. Collective Inference for Handling Autocorrelation in Network Regression

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  60. EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  61. Innovative power operating center management exploiting big data techniques

    Article • January 2014, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  62. Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  63. Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

    Article • BMC Bioinformatics, January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  64. Mining Dense Regions from Vehicular Mobility in Streaming Setting

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  65. Mining Temporal Evolution of Entities in a Stream of Textual Documents

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  66. Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database

    Article • Fundamenta Informaticae, January 2014, SAGE Publications

    Prof. Donato Malerba

  67. Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  68. Process Mining to Forecast the Future of Running Cases

    Article • January 2014, Springer Science + Business Media

    Prof. Donato Malerba

  69. Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction

    Article • BMC Bioinformatics, September 2013, Springer Science + Business Media

    Prof. Donato Malerba

  70. Summarizing numeric spatial data streams by trend cluster discovery

    Article • Data Mining and Knowledge Discovery, August 2013, Springer Science + Business Media

    Prof. Donato Malerba

  71. Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering

    Article • Journal of Intelligent Information Systems, August 2013, Springer Science + Business Media

    Prof. Donato Malerba

  72. Using trend clusters for spatiotemporal interpolation of missing data in a sensor network

    Article • Journal of Spatial Information Science, June 2013, Journal of Spatial Information Science

    Prof. Donato Malerba

  73. Semi- supervised ensemble learning to boost miRNA target predictions.

    Article • EMBnet journal, April 2013, EMBnet Stichting

    Prof. Donato Malerba

  74. A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes

    Article • BMC Bioinformatics, April 2013, Springer Science + Business Media

    Prof. Donato Malerba

  75. An Intelligent Technique for Forecasting Spatially Correlated Time Series

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  76. Dealing with spatial autocorrelation when learning predictive clustering trees

    Article • Ecological Informatics, January 2013, Elsevier

    Prof. Donato Malerba

  77. Discovering Evolution Chains in Dynamic Networks

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  78. Document Image Understanding through Iterative Transductive Learning

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  79. Enhancing Regression Models with Spatio-temporal Indicator Additions

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  80. Learning Hierarchical Multi-label Classification Trees from Network Data

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  81. Predictive Regional Trees to Supplement Geo-Physical Random Fields

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  82. Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages

    Article • January 2013, Springer Science + Business Media

    Prof. Donato Malerba

  83. Preface to the Seventh Workshop on Spatial and Spatio-Temporal Data Mining -- SSTDM 2012

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  84. Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  85. Guest editors’ introduction: special issue of selected papers from ECML PKDD 2011

    Article • Machine Learning, July 2012, Springer Science + Business Media

    Prof. Donato Malerba

  86. Guest Editors’ Introduction: special issue of selected papers from ECML PKDD 2011

    Article • Data Mining and Knowledge Discovery, July 2012, Springer Science + Business Media

    Prof. Donato Malerba

  87. Trend cluster based interpolation everywhere in a sensor network

    Article • March 2012, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  88. Process Mining Manifesto

    Article • January 2012, Springer Science + Business Media

    Dr Chris Turner, prof.dr.ir. Wil van der Aalst, Pavlos Delias, Prof. Donato Malerba

  89. An Intelligent System for Real Time Fault Detection in PV Plants

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  90. An Unsupervised Framework for Topological Relations Extraction from Geographic Documents

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  91. Continuously Mining Sliding Window Trend Clusters in a Sensor Network

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  92. Dealing with Spatial Autocorrelation in Gene Flow Modeling

    Article • January 2012, Elsevier

    Prof. Donato Malerba

  93. Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions

    Article • January 2012, IOS Press

    Prof. Donato Malerba

  94. Learning and Transferring Geographically Weighted Regression Trees across Time

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  95. Learning to Rank from Concept-Drifting Network Data Streams

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  96. Mining Ranking Models from Dynamic Network Data

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  97. Transductive Relational Classification in the Co-training Paradigm

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  98. Trend Cluster Based Kriging Interpolation in Sensor Data Networks

    Article • January 2012, Springer Science + Business Media

    Prof. Donato Malerba

  99. Discovering process models through relational disjunctive patterns mining

    Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  100. Trend cluster based compression of geographically distributed data streams

    Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  101. Growing parallel paths for entity-page discovery

    Article • March 2011, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  102. HyLiEn

    Article • March 2011, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  103. A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets

    Article • Intelligent Data Analysis, January 2011, SAGE Publications

    Prof. Donato Malerba

  104. A Temporal Data Mining Framework for Analyzing Longitudinal Data

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  105. Extracting General Lists from Web Documents: A Hybrid Approach

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  106. FAST Sequence Mining Based on Sparse Id-Lists

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  107. Global and Local Spatial Autocorrelation in Predictive Clustering Trees

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  108. MBlab: Molecular Biodiversity Laboratory

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  109. OLAP over Continuous Domains via Density-Based Hierarchical Clustering

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  110. Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  111. Project D.A.M.A.: Document Acquisition, Management and Archiving

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  112. Relational Mining in Spatial Domains: Accomplishments and Challenges

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  113. Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  114. Transductive Learning of Logical Structures from Document Images

    Article • January 2011, Springer Science + Business Media

    Prof. Donato Malerba

  115. Mapping web pages to database records via link paths

    Article • October 2010, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  116. Mining Spatial Association Rules for Composite Motif Discovery

    Article • September 2010, Springer Science + Business Media

    Prof. Donato Malerba

  117. Complex objects ranking

    Article • March 2010, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  118. Transductive learning for spatial regression with co-training

    Article • March 2010, ACM (Association for Computing Machinery)

    Prof. Donato Malerba

  119. A Relational Approach for Discovering Frequent Patterns with Disjunctions

    Article • January 2010, Springer Science + Business Media

    Prof. Donato Malerba

  120. Mining Physiological Data for Discovering Temporal Patterns on Disease Stages

    Article • January 2010, IOS Press

    Prof. Donato Malerba

  121. Summarization for Geographically Distributed Data Streams

    Article • January 2010, Springer Science + Business Media

    Prof. Donato Malerba

  122. Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion

    Article • January 2010, IOS Press

    Prof. Donato Malerba

  123. Transductive Learning for Spatial Data Classification

    Article • January 2010, Springer Science + Business Media

    Prof. Donato Malerba

  124. Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining

    Article • BMC Bioinformatics, June 2009, Springer Science + Business Media

    Prof. Donato Malerba

  125. A relational approach to probabilistic classification in a transductive setting

    Article • Engineering Applications of Artificial Intelligence, February 2009, Elsevier

    Prof. Donato Malerba

  126. A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  127. A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  128. A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  129. An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  130. Approximate Frequent Itemset Discovery from Data Stream

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  131. Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  132. Novelty Detection from Evolving Complex Data Streams with Time Windows

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  133. Relational Frequent Patterns Mining for Novelty Detection from Data Streams

    Article • January 2009, Springer Science + Business Media

    Prof. Donato Malerba

  134. A KDD Platform Based on the Application Service Provider Paradigm

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  135. Discovering Triggering Events from Longitudinal Data

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  136. Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  137. A relational perspective on spatial data mining

    Article • International Journal of Data Mining Modelling and Management, January 2008, Inderscience Publishers

    Prof. Donato Malerba

  138. Machine Learning for Reading Order Detection in Document Image Understanding

    Article • January 2008, Springer Science + Business Media

    Prof. Donato Malerba

  139. Discovering Spatio-Textual Association Rules in Document Images

    Article • January 2008, IGI Global

    Prof. Donato Malerba

  140. A Data Mining Approach to Reading Order Detection

    Article • September 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  141. Grid-based data mining for market basket analysis in the retail sector

    Article • June 2007, WITPRESS LTD.

    Prof. Donato Malerba

  142. Mining geospatial data in a transductive setting

    Article • June 2007, WITPRESS LTD.

    Prof. Donato Malerba

  143. RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING

    Article • Applied Artificial Intelligence, April 2007, Taylor & Francis

    Prof. Donato Malerba

  144. An Integrated Platform for Spatial Data Mining within a GIS Environment

    Article • April 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  145. Classifying web documents in a hierarchy of categories: a comprehensive study

    Article • Journal of Intelligent Information Systems, January 2007, Springer Science + Business Media

    Prof. Donato Malerba

  146. Dissimilarity and Matching

    Article • January 2007, Wiley

    Prof. Donato Malerba

  147. Exporting Symbolic Objects to Databases

    Article • January 2007, Wiley

    Prof. Donato Malerba

  148. A Data Mining Methodology for Anomaly Detection in Network Data

    Article • January 2007, Springer Science + Business Media

    Prof. Donato Malerba

  149. Introduction to the special issue

    Article • Applied Intelligence, December 2006, Springer Science + Business Media

    Prof. Donato Malerba

  150. Mining spatio-temporal data

    Article • Journal of Intelligent Information Systems, November 2006, Springer Science + Business Media

    Prof. Donato Malerba

  151. Using colour information to understand censorship cards of film archives

    Article • International Journal on Document Analysis and Recognition (IJDAR), August 2006, Springer Science + Business Media

    Prof. Donato Malerba

  152. Mining Information Extraction Models for HmtDB annotation

    Article • January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  153. A color-based layout analysis to process censorship cards of film archives

    Article • January 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  154. Mining Model Trees from Spatial Data

    Article • January 2005, Springer Science + Business Media

    Prof. Donato Malerba

  155. Mining Relational Association Rules for Propositional Classification

    Article • January 2005, Springer Science + Business Media

    Prof. Donato Malerba

  156. Relational learning techniques for document image understanding: comparing statistical and logical approaches

    Article • January 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  157. Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding

    Article • January 2005, Springer Science + Business Media

    Prof. Donato Malerba

  158. Inducing Multi-Level Association Rules from Multiple Relations

    Article • Machine Learning, May 2004, Springer Science + Business Media

    Prof. Donato Malerba

  159. Top-down induction of model trees with regression and splitting nodes

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, May 2004, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  160. Mining official data

    Article • Intelligent Data Analysis, December 2003, SAGE Publications

    Prof. Donato Malerba

  161. Article • Journal of Visual Languages & Computing, December 2003, Elsevier

    Prof. Donato Malerba

  162. Empowering a GIS with inductive learning capabilities: the case of INGENS

    Article • Computers Environment and Urban Systems, May 2003, Elsevier

    Prof. Donato Malerba

  163. Machine learning in computer vision

    Article • Applied Artificial Intelligence, September 2001, Taylor & Francis

    Prof. Donato Malerba

  164. Transforming paper documents into XML format with WISDOM++

    Article • International Journal on Document Analysis and Recognition (IJDAR), August 2001, Springer Science + Business Media

    Prof. Donato Malerba

  165. The effects of pruning methods on the predictive accuracy of induced decision trees

    Article • Applied Stochastic Models in Business and Industry, October 1999, Wiley

    Prof. Donato Malerba

  166. Machine learning for intelligent document processing: The WISDOM system

    Article • January 1999, Springer Science + Business Media

    Prof. Donato Malerba

  167. Adding machine learning and knowledge intensive techniques to a digital library service

    Article • International Journal on Digital Libraries, October 1998, Springer Science + Business Media

    Prof. Donato Malerba

  168. A comparative analysis of methods for pruning decision trees

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, May 1997, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  169. Revision of logical theories

    Article • January 1995, Springer Science + Business Media

    Prof. Donato Malerba

  170. Classification in noisy environments using a distance measure between structural symbolic descriptions

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, March 1992, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  171. A Grid-Based Multi-relational Approach to Process Mining

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  172. Discovering Emerging Patterns for Anomaly Detection in Network Connection Data

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  173. Discovering Explanations from Longitudinal Data

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  174. Emerging Pattern Based Classification in Relational Data Mining

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  175. Learning to Order: A Relational Approach

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  176. Stepwise Induction of Logistic Model Trees

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  177. Top-Down Induction of Relational Model Trees in Multi-instance Learning

    Article • Springer Science + Business Media

    Prof. Donato Malerba

  178. Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  179. Correcting the document layout: a machine learning approach

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  180. Automated discovery of dependencies between logical components in document image understanding

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Donato Malerba

  181. Discovering Spatio-Textual Association Rules in Document Images

    Article • IGI Global

    Prof. Donato Malerba

  182. Machine learning for information extraction from topographic maps

    Article • Taylor & Francis

    Prof. Donato Malerba

  183. Learning Recursive Patterns for Biomedical Information Extraction

    Article • Springer Science + Business Media

    Prof. Donato Malerba