Michelangelo Ceci

According to our database1, Michelangelo Ceci authored at least 175 papers between 2001 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Closed sequential pattern mining for sitemap generation.
World Wide Web, 2021

Multi-aspect renewable energy forecasting.
Inf. Sci., 2021

2020
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks.
Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Exploiting causality in gene network reconstruction based on graph embedding.
Mach. Learn., 2020

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs.
Mach. Learn., 2020

jKarma: A highly-modular framework for pattern-based change detection on evolving data.
Knowl. Based Syst., 2020

Semi-supervised regression trees with application to QSAR modelling.
Expert Syst. Appl., 2020

Scalable auto-encoders for gravitational waves detection from time series data.
Expert Syst. Appl., 2020

Condensed representations of changes in dynamic graphs through emerging subgraph mining.
Eng. Appl. Artif. Intell., 2020

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering.
BMC Bioinform., 2020

Exploiting transfer learning for the reconstruction of the human gene regulatory network.
Bioinform., 2020

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.
IEEE Access, 2020

Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Estimating the Importance of Relational Features by Using Gradient Boosting.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
DENCAST: distributed density-based clustering for multi-target regression.
J. Big Data, 2019

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.
Inf. Sci., 2019

Spatial autocorrelation and entropy for renewable energy forecasting.
Data Min. Knowl. Discov., 2019

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data.
Big Data Res., 2019

Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper).
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper).
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Big Data Analytics and Predictive Modeling Approaches for the Energy Sector.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2018

Introduction to the special issue on discovery science.
Mach. Learn., 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

Semi-supervised trees for multi-target regression.
Inf. Sci., 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

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

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. Ind. Informatics, 2017

Self-training for multi-target regression with tree ensembles.
Knowl. Based Syst., 2017

Semi-supervised classification trees.
J. Intell. Inf. Syst., 2017

Temporal Pattern Mining from Evolving Networks.
CoRR, 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

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

Recent advances in mining patterns from complex data.
J. Intell. Inf. Syst., 2016

Semi-Supervised Multi-View Learning for Gene Network Reconstruction.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Big Data Analytics.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

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

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

Semi-supervised learning for multi-target regression (Discussion paper).
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

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

Ensembles of Extremely Randomized Trees for Multi-target Regression.
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.
ACM Journal on Computing and Cultural Heritage, 2014

Mining complex patterns.
J. Intell. Inf. Syst., 2014

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

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

Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach.
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

Semi-supervised Learning for Multi-target Regression.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

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

Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach.
Proceedings of the Pushing the Boundaries of the Digital Libraries Field, 2014

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

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

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

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

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

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

2012
The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis.
SIGHIT Rec., 2012

Network regression with predictive clustering trees.
Data Min. Knowl. Discov., 2012

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

A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

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

Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data.
Proceedings of the Information Technology in Bio- and Medical Informatics, 2012

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

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

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

Discovering Temporal Bisociations for Linking Concepts over Time.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

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

Relational Mining in Spatial Domains: Accomplishments and Challenges.
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

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

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

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

Hierarchical Transductive Classification from Textual Data with Relevant Example Selection.
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

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

Transductive Learning from Textual Data with Relevant Example Selection.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature.
Proceedings of the Second International Conference on Advances in Databases, 2010

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

2009
A relational approach to probabilistic classification in a transductive setting.
Eng. Appl. Artif. Intell., 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

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

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

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

Distributed Discovery of Multi-Level Approximate Process Patterns.
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 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

Hierarchical Text Categorization in a Transductive Setting.
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.
Int. J. Document Anal. Recognit., 2007

Relational Data Mining and ILP for Document Image Understanding.
Appl. Artif. Intell., 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 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
Spatial associative classification: propositional vs structural approach.
J. Intell. Inf. Syst., 2006

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

Mining Tolerance Regions with Model Trees.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

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

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

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

Redundant feature elimination for multi-class problems.
Proceedings of the Machine Learning, 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 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
Discovery of spatial association rules in geo-referenced census data: A relational mining approach.
Intell. Data Anal., 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

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

Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System.
Proceedings of the Research and Advanced Technology for Digital Libraries, 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

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

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

KDB2000: Uno strumento per la scoperta della conoscenza.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 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
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps.
Proceedings of the Graphics Recognition Algorithms and Applications, 2001

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


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