Donato Malerba

According to our database1, Donato Malerba authored at least 271 papers between 1990 and 2018.

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2018
Mining microscopic and macroscopic changes in network data streams.
Knowl.-Based Syst., 2018

Multi-type clustering and classification from heterogeneous networks.
Inf. Sci., 2018

Active learning via collective inference in network regression problems.
Inf. Sci., 2018

Leveraging correlation across space and time to interpolate geophysical data via CoKriging.
International Journal of Geographical Information Science, 2018

Wind Speed Forecasting via Structured Output Learning.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Distributed Learning of Process Models for Next Activity Prediction.
Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

Toward IoT-Friendly Learning Models.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

An Empirical Evaluation of Sequential Pattern Mining Algorithms.
Proceedings of the Advances in Internet, 2018

Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS).
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2018

An OWL Ontology for Supporting Semantic Services in Big Data Platforms.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

Relational Data Mining in the Era of Big Data.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?
IEEE Trans. Industrial Informatics, 2017

Leveraging temporal autocorrelation of historical data for improving accuracy in network regression.
Statistical Analysis and Data Mining, 2017

A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data.
Pattern Recognition, 2017

Using multiple time series analysis for geosensor data forecasting.
Inf. Sci., 2017

Forecasting via Distributed Density-Based Clustering.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

Identifying lncRNA-Disease Relationships via Heterogeneous Clustering.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Exploiting Web Sites Structural and Content Features for Web Pages Clustering.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks.
Proceedings of the Discovery Science - 20th International Conference, 2017

Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering.
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016
A Co-Training Strategy for Multiple View Clustering in Process Mining.
IEEE Trans. Services Computing, 2016

Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system.
Machine Learning, 2016

CloFAST: closed sequential pattern mining using sparse and vertical id-lists.
Knowl. Inf. Syst., 2016

Collective regression for handling autocorrelation of network data in a transductive setting.
J. Intell. Inf. Syst., 2016

Multi-Type Classification from Heterogeneous Networks.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Anomaly detection in aerospace product manufacturing: Initial remarks.
Proceedings of the IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

Automatic Generation of Sitemaps Based on Navigation Systems.
Proceedings of the Machine Learning, Optimization, and Big Data, 2016

2015
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering.
J. Intell. Inf. Syst., 2015

Relational mining for discovering changes in evolving networks.
Neurocomputing, 2015

Summarizing numeric spatial data streams by trend cluster discovery.
Data Min. Knowl. Discov., 2015

ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks.
BMC Bioinformatics, 2015

VIPOC Project Research Summary (Discussion Paper).
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Mining Multi-Relational Gradual Patterns.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Discovering and Tracking Organizational Structures in Event Logs.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Discovering Variability Patterns for Change Detection in Complex Phenotype Data.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources.
Proceedings of the 19th International Database Engineering & Applications Symposium, 2015

Hierarchical Multidimensional Classification of Web Documents with MultiWebClass.
Proceedings of the Discovery Science - 18th International Conference, 2015

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning.
Proceedings of the Discovery Science - 18th International Conference, 2015

Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis.
Proceedings of 1st AI*IA Workshop on Intelligent Techniques At LIbraries and Archives co-located with XIV Conference of the Italian Association for Artificial Intelligence, 2015

2014
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome.
JOCCH, 2014

Dealing with temporal and spatial correlations to classify outliers in geophysical data streams.
Inf. Sci., 2014

Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database.
Fundam. Inform., 2014

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering.
Data Min. Knowl. Discov., 2014

Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach.
BMC Bioinformatics, 2014

Mining Cluster-Based Models of Time Series for Wind Power Prediction.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Network Regression in Collective Inference Setting.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Big Data Techniques For Renewable Energy Market.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Mining Temporal Evolution of Entities in a Stream of Textual Documents.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Mining Dense Regions from Vehicular Mobility in Streaming Setting.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Collective Inference for Handling Autocorrelation in Network Regression.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Automatic Extraction of Logical Web Lists.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Innovative power operating center management exploiting big data techniques.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

A parallel algorithm for approximate frequent itemset mining using MapReduce.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Mining Trajectory Data for Discovering Communities of Moving Objects.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Wind Power Forecasting Using Time Series Cluster Analysis.
Proceedings of the Discovery Science - 17th International Conference, 2014

Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining.
Proceedings of the Discovery Science - 17th International Conference, 2014

Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-5453-2, 2014

2013
Using trend clusters for spatiotemporal interpolation of missing data in a sensor network.
J. Spatial Information Science, 2013

Italian Machine Learning and Data Mining research: The last years.
Intelligenza Artificiale, 2013

Dealing with spatial autocorrelation when learning predictive clustering trees.
Ecological Informatics, 2013

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction.
BMC Bioinformatics, 2013

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes.
BMC Bioinformatics, 2013

HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Process Mining to Forecast the Future of Running Cases.
Proceedings of the New Frontiers in Mining Complex Patterns, 2013

EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy.
Proceedings of the Bridging Between Cultural Heritage Institutions, 2013

Learning Hierarchical Multi-label Classification Trees from Network Data.
Proceedings of the Discovery Science - 16th International Conference, 2013

Predictive Regional Trees to Supplement Geo-Physical Random Fields.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

An Intelligent Technique for Forecasting Spatially Correlated Time Series.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

Enhancing Regression Models with Spatio-temporal Indicator Additions.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2012
Guest editors' introduction: special issue of selected papers from ECML PKDD 2011.
Machine Learning, 2012

Guest Editors' Introduction: special issue of selected papers from ECML PKDD 2011.
Data Min. Knowl. Discov., 2012

Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data.
Proceedings of the Web and Wireless Geographical Information Systems, 2012

Mining Temporal Evolution of Criminal Behaviors.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Trend cluster based interpolation everywhere in a sensor network.
Proceedings of the ACM Symposium on Applied Computing, 2012

Discovering Evolution Chains in Dynamic Networks.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages.
Proceedings of the Ubiquitous Social Media Analysis, 2012

Mining Ranking Models from Dynamic Network Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Transductive Relational Classification in the Co-training Paradigm.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Document Image Understanding through Iterative Transductive Learning.
Proceedings of the Digital Libraries and Archives - 8th Italian Research Conference, 2012

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions.
Proceedings of the ECAI 2012, 2012

Learning to Rank from Concept-Drifting Network Data Streams.
Proceedings of the Database and Expert Systems Applications, 2012

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents.
Proceedings of the Database and Expert Systems Applications, 2012

Continuously Mining Sliding Window Trend Clusters in a Sensor Network.
Proceedings of the Database and Expert Systems Applications, 2012

2011
Transductive Learning of Logical Structures from Document Images.
Proceedings of the Learning Structure and Schemas from Documents, 2011

A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets.
Intell. Data Anal., 2011

Growing parallel paths for entity-page discovery.
Proceedings of the 20th International Conference on World Wide Web, 2011

HyLiEn: a hybrid approach to general list extraction on the web.
Proceedings of the 20th International Conference on World Wide Web, 2011

Trend Cluster Based Kriging Interpolation in Sensor Data Networks.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Learning and Transferring Geographically Weighted Regression Trees across Time.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models.
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering.
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

OLAP over Continuous Domains via Density-Based Hierarchical Clustering.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

FAST Sequence Mining Based on Sparse Id-Lists.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Relational Mining in Spatial Domains: Accomplishments and Challenges.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

MBlab: Molecular Biodiversity Laboratory.
Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

Project D.A.M.A.: Document Acquisition, Management and Archiving.
Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

Extracting General Lists from Web Documents: A Hybrid Approach.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Global and Local Spatial Autocorrelation in Predictive Clustering Trees.
Proceedings of the Discovery Science - 14th International Conference, 2011

A Temporal Data Mining Framework for Analyzing Longitudinal Data.
Proceedings of the Database and Expert Systems Applications, 2011

Discovering process models through relational disjunctive patterns mining.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Trend cluster based compression of geographically distributed data streams.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011


Mining Spatial Association Rules for Composite Motif Discovery.
Proceedings of the Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 2011

2010
Transductive Learning for Spatial Data Classification.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Unexpected results in automatic list extraction on the web.
SIGKDD Explorations, 2010

Discovering Temporal Patterns of Complex Events in Biosignal Data.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Clustering Spatio-Temporal Data Streams.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Suggesting Tourist Destinations by means of Time-Slice Density Estimation.
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Complex objects ranking: a relational data mining approach.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Transductive learning for spatial regression with co-training.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Relational Learning of Disjunctive Patterns in Spatial Networks.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Summarization for Geographically Distributed Data Streams.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams.
Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010

Mining Physiological Data for Discovering Temporal Patterns on Disease Stages.
Proceedings of the ECAI 2010, 2010

Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion.
Proceedings of the ECAI 2010, 2010

A Relational Approach for Discovering Frequent Patterns with Disjunctions.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

Mapping web pages to database records via link paths.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
A relational approach to probabilistic classification in a transductive setting.
Eng. Appl. of AI, 2009

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.
BMC Bioinformatics, 2009

Mining Frequent Patterns of Biological Spaced Motifs.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Mining preference relations to rank complex object.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Spatial Regression in the Transductive Setting.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

A Relational Approach to Novelty Detection in Data Streams.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Relational Frequent Patterns Mining for Novelty Detection from Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

Novelty Detection from Evolving Complex Data Streams with Time Windows.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams.
Proceedings of the Discovery Science, 12th International Conference, 2009

An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting.
Proceedings of the Discovery Science, 12th International Conference, 2009

A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology.
Proceedings of the Artificial Intelligence in Medicine, 2009

Approximate Frequent Itemset Discovery from Data Stream.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008
Machine Learning for Reading Order Detection in Document Image Understanding.
Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

A relational perspective on spatial data mining.
IJDMMM, 2008

Distributed Discovery of Multi-Level Approximate Process Patterns.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

KD-ASP - A distributed collaborative data mining platform.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Relational Classification based on Emerging Patterns.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Discovering Explanations from Longitudinal Data.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Discovering Emerging Patterns for Anomaly Detection in Network Connection Data.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Stepwise Induction of Logistic Model Trees.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Top-Down Induction of Relational Model Trees in Multi-instance Learning.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

Discovering Triggering Events from Longitudinal Data.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A KDD Platform Based on the Application Service Provider Paradigm.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Grid-Based Multi-relational Approach to Process Mining.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

Emerging Pattern Based Classification in Relational Data Mining.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007
Classifying web documents in a hierarchy of categories: a comprehensive study.
J. Intell. Inf. Syst., 2007

Using colour information to understand censorship cards of film archives.
IJDAR, 2007

Introduction to the special issue.
Appl. Intell., 2007

Relational Data Mining and ILP for Document Image Understanding.
Applied Artificial Intelligence, 2007

Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Transductive Learning from Relational Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

A Data Mining Methodology for Anomaly Detection in Network Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

An Integrated Platform for Spatial Data Mining within a GIS Environment.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

A Data Mining Approach to Reading Order Detection.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Learning to Order: A Relational Approach.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

Discovering Relational Emerging Patterns.
Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007

2006
Mining spatio-temporal data.
J. Intell. Inf. Syst., 2006

Classification of symbolic objects: A lazy learning approach.
Intell. Data Anal., 2006

Relational Data Mining Techniques for Historical Document Processing.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

Classifying Aggregated Data: a Symbolic Data Analysis Approach.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

Learning Recursive Patterns for Biomedical Information Extraction.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Mining Information Extraction Models for HmtDB annotation.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Relational Clustering with Discrete Spatial Structure.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

Propositionalization Through Relational Association Rules Mining.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

Mining Model Trees from Spatial Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Learning the Daily Model of Network Traffic.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Mining and Filtering Multi-level Spatial Association Rules with ARES.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Spatial Clustering of Structured Objects.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

A color-based layout analysis to process censorship cards of film archives.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding.
Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

Mining Relational Association Rules for Propositional Classification.
Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004
Top-Down Induction of Model Trees with Regression and Splitting Nodes.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Inducing Multi-Level Association Rules from Multiple Relations.
Machine Learning, 2004

Mining interesting spatial association rules: two case studies.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

On the Effect of Caching in Recursive Theory Learning.
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation.
Proceedings of the 1st International Workshop on Document Image Analysis for Libraries (DIAL 2004), 2004

A Data Mining Approach to PubMed Query Refinement.
Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004), with CD-ROM, 30 August, 2004

An Integrated Approach for Automatic Semantic Structure Extraction in Document Images.
Proceedings of the Document Analysis Systems VI, 6th International Workshop, 2004

A Data Mining Query Language for Knowledge Discovery in a Geographical Information System.
Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003
Editor's foreword.
J. Vis. Lang. Comput., 2003

Empowering a GIS with inductive learning capabilities: the case of INGENS.
Computers, Environment and Urban Systems, 2003

Guest-editorial: Mining official data.
Intell. Data Anal., 2003

Discovery of spatial association rules in geo-referenced census data: A relational mining approach.
Intell. Data Anal., 2003

Learning Recursive Theories in the Normal ILP Setting.
Fundam. Inform., 2003

Towards Object-Relational Data Mining.
Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

Stepwise Model Tree Induction in a Multi-Relational Framework.
Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

Mining Model Trees with Regression and Splitting Nodes.
Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

Mr-SBC: A Multi-relational Naïve Bayes Classifier.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Simplification Methods for Model Trees with Regression and Splitting Nodes.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database.
Proceedings of the Second International Workshop on Inductive Databases, 2003

Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes.
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Ideal Refinement of Descriptions in AL-Log.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Mining Model Trees: A Multi-relational Approach.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Automated Classification of Web Documents into a Hierarchy of Categories.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

Learning Logic Programs for Layout Analysis Correction.
Proceedings of the Machine Learning, 2003

Correcting the Document Layout: A Machine Learning Approach.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Hierarchical Classification of HTML Documents with WebClassII.
Proceedings of the Advances in Information Retrieval, 2003

XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents.
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003

Bridging the Gap between Horn Clausal Logic and Description Logics in Inductive Learning.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

Multi-relational Structural Bayesian Classifier.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002
Estrazione e matching di oggetti simbolici da database relazionali.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

Mining Classification and Association Rules in Geographical Data with SDMOQL.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

Efficient Discovery of Multiple-level Patterns.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

KDB2000: Uno strumento per la scoperta della conoscenza.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

Adaptive Layout Analysis of Document Images.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Trading-Off Local versus Global Effects of Regression Nodes in Model Trees.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Mining HTML Pages to Support Document Sharing in a Cooperative System.
Proceedings of the XML-Based Data Management and Multimedia Engineering, 2002

2001
Transforming paper documents into XML format with WISDOM++.
IJDAR, 2001

Inductive learning from numerical and symbolic data: An integrated framework.
Intell. Data Anal., 2001

Machine Learning in Computer Vision (Editorial).
Applied Artificial Intelligence, 2001

Mining Association Rules in Spatial Databases: A Logic-based Computational Method.
Proceedings of the Nono Convegno Nazionale Sistemi Evoluti per Basi di Dati, 2001

Web Content Mining with WebClass.
Proceedings of the Nono Convegno Nazionale Sistemi Evoluti per Basi di Dati, 2001

First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2001

Discovering Associations between Spatial Objects: An ILP Application.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

Automated Discovery of Dependencies Between Logical Components in Document Image Understanding.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Generating Logic Descriptions for the Automated Interpretation of Topographic Maps.
Proceedings of the Graphics Recognition Algorithms and Applications, 2001

A Logical Framework for Frequent Pattern Discovery in Spatial Data.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

Multiple Predicate Learning for Document Image Understanding.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

Stepwise Induction of Model Trees.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

2000
Machine Learning for Intelligent Processing of Printed Documents.
J. Intell. Inf. Syst., 2000

Discovering Geographic Knowledge: The INGENS System.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999
Symbolic Learning Techniques in Paper Document Processing.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 1999

Machine Learning for Intelligent Document Processing: The WISDOM System.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

WISDOM++: An Interactive and Adaptive Document Analysis System.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

A Machine Learning Approach to Web Mining.
Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999

1998
Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service.
Int. J. on Digital Libraries, 1998

Metaphors for Supporting User Interaction with Multimedia Databases - a demonstration.
Proceedings of the Visual Database Systems 4 (VDB4), 1998

Building Metaphors for Supporting User Interaction with Multimedia Databases.
Proceedings of the Visual Database Systems 4 (VDB4), 1998

Learning Recursive Theories with ATRE.
ECAI, 1998

1997
A Comparative Analysis of Methods for Pruning Decision Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Discovering Causal Rules in Relational Databases.
Applied Artificial Intelligence, 1997

Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning.
Applied Artificial Intelligence, 1997

A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories.
Proceedings of the Logic Programming Synthesis and Transformation, 1997

Knowledge Revision for Document Understanding.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

Machine Learning + On-line Libraries = IDL.
Proceedings of the Research and Advanced Technology for Digital Libraries. First European Conference, 1997

IDL: A Prototypical Intelligent Digital Library Service.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

Processing Paper Documents with WISDOM.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

Handling Continuous Data in Top-Down Induction of First-Order Rules.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

1996
Locally Finite, Proper and Complete Operators for Refining Datalog Programs.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

1995
Ideal Refinement of Datalog Programs.
Proceedings of the Logic Programming Synthesis and Transformation, 1995

A knowledge-based approach to the layout analysis.
Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

A Further Comparison of Simplification Methods for Decision-Tree Induction.
Proceedings of the Learning from Data, 1995

Revision of Logical Theories.
Proceedings of the Topics in Artificial Intelligence, 1995

Downward Refinement of Hierarchical Datalog Theories.
Proceedings of the 1995 Joint Conference on Declarative Programming, 1995

1994
multistrategy learning for document recognition.
Applied Artificial Intelligence, 1994

Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL.
Proceedings of the Logic Programming Synthesis and Transformation, 1994

Traps and Pitfalls when Learning Logical Definitions from Relations.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships.
Proceedings of the Machine Learning: ECML-94, 1994

1993
Machine Learning Techniques for Knowledge Acquisition and Refinement.
Proceedings of the SEKE'93, 1993

Automated acquisition of rules for document understanding.
Proceedings of the 2nd International Conference Document Analysis and Recognition, 1993

Decision Tree Pruning as a Search in the State Space.
Proceedings of the Machine Learning: ECML-93, 1993

Negation as a Specializing Operator.
Proceedings of the Advances in Artificial Intelligence, 1993

1992
Classification in Noisy Environments Using a Distance Measure Between Structural Symbolic Descriptions.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

1991
Flexible Matching for Noisy Structural Descriptions.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
A Distance Measure for Decision Making in Uncertain Domains.
Proceedings of the Uncertainty in Knowledge Bases, 1990


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