A Data Mining Approach to Reading Order Detection

A Grid-Based Multi-relational Approach to Process Mining

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

A Relational Approach for Discovering Frequent Patterns with Disjunctions

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A Temporal Data Mining Framework for Analyzing Longitudinal Data

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

scholarly article published 2005

A novel biclustering algorithm for the discovery of meaningful biological correlations between microRNAs and their target genes

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

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A relational approach to probabilistic classification in a transductive setting

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

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Automatic Extraction of Logical Web Lists

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

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

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

scientific article published on June 2015

Complex objects ranking

Correcting the document layout: a machine learning approach

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Dealing with Spatial Autocorrelation in Gene Flow Modeling

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Dealing with spatial autocorrelation when learning predictive clustering trees

article published in 2013

Discovering Emerging Patterns for Anomaly Detection in Network Connection Data

Discovering Evolution Chains in Dynamic Networks

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Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome

article by Gianvito Pio et al published 15 September 2014 in ACM Journal on Computing and Cultural Heritage

Discovering Spatio-Textual Association Rules in Document Images

Discovering process models through relational disjunctive patterns mining

Distributed Heterogeneous Transfer Learning ⬇️

scientific paper published in CEUR-WS Volume 3194

Distributed and explainable GHSOM for anomaly detection in sensor networks

scientific article published in 2024

Document Image Understanding through Iterative Transductive Learning

EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy

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

Emerging Pattern Based Classification in Relational Data Mining

Global and Local Spatial Autocorrelation in Predictive Clustering Trees

Hierarchical Multidimensional Classification of Web Documents with MultiWebClass

Identifying lncRNA-Disease Relationships via Heterogeneous Clustering

Innovative power operating center management exploiting big data techniques

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

scientific article (publication date: 2014)

Learning Hierarchical Multi-label Classification Trees from Network Data

Learning and Transferring Geographically Weighted Regression Trees across Time

Learning to Order: A Relational Approach

Learning to Rank from Concept-Drifting Network Data Streams

MBlab: Molecular Biodiversity Laboratory

Machine Learning for Reading Order Detection in Document Image Understanding

scholarly article by Donato Malerba et al published 2008 in Studies in Computational Intelligence

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

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Mining Model Trees from Spatial Data

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Mining Ranking Models from Dynamic Network Data

Mining Relational Association Rules for Propositional Classification

Mining Spatial Association Rules for Composite Motif Discovery

article published in 2010

Mining Temporal Evolution of Entities in a Stream of Textual Documents

Mining geospatial data in a transductive setting

Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks

Novelty Detection from Evolving Complex Data Streams with Time Windows

OLAP over Continuous Domains via Density-Based Hierarchical Clustering

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering

scientific article published on 24 February 2020

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

RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING

Relational Frequent Patterns Mining for Novelty Detection from Data Streams

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

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Relational Mining in Spatial Domains: Accomplishments and Challenges

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

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Relational mining for discovering changes in evolving networks

Semi-Supervised Multi-View Learning for Gene Network Reconstruction

scientific article published on 7 December 2015

Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification

scientific article published on 13 April 2024

Stepwise Induction of Logistic Model Trees

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

article published in Lecture Notes in Computer Science

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

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Transductive Learning for Spatial Data Classification

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Transductive Learning of Logical Structures from Document Images

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Transductive Relational Classification in the Co-training Paradigm

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Transductive learning for spatial regression with co-training

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

scientific article

Using colour information to understand censorship cards of film archives