Alípio Mário Jorge

According to our database1, Alípio Mário Jorge authored at least 129 papers between 1994 and 2020.

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

Timeline

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Bibliography

2020
YAKE! Keyword extraction from single documents using multiple local features.
Inf. Sci., 2020

Sentence Compression for Portuguese.
Proceedings of the Computational Processing of the Portuguese Language, 2020

2019
Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features.
J. Medical Systems, 2019

Identifying topic relevant hashtags in Twitter streams.
Inf. Sci., 2019

Information Processing & Management Journal Special Issue on Narrative Extraction from Texts (Text2Story): Preface.
Inf. Process. Manag., 2019

Estimating time and score uncertainty in generating successful learning paths under time constraints.
Expert Systems, 2019

Guest Editorial - Special Issue on Data Mining for Geosciences.
Data Min. Knowl. Discov., 2019

LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC).
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

ORSUM 2019 2nd workshop on online recommender systems and user modeling.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Heart Sounds Classification Using Images from Wavelet Transformation.
Proceedings of the Progress in Artificial Intelligence, 2019

Interactive System for Automatically Generating Temporal Narratives.
Proceedings of the Advances in Information Retrieval, 2019

The 2nd International Workshop on Narrative Extraction from Text: Text2Story 2019.
Proceedings of the Advances in Information Retrieval, 2019

Dataset Morphing to Analyze the Performance of Collaborative Filtering.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
ECIR 2018: Text2Story Workshop - Narrative Extraction from Texts.
SIGIR Forum, 2018

Discovering a taste for the unusual: exceptional models for preference mining.
Machine Learning, 2018

Forgetting techniques for stream-based matrix factorization in recommender systems.
Knowl. Inf. Syst., 2018

Preference rules for label ranking: Mining patterns in multi-target relations.
Inf. Fusion, 2018

Online bagging for recommender systems.
Expert Systems, 2018

Affordance Extraction and Inference based on Semantic Role Labeling.
CoRR, 2018

ORSUM Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

YAKE! Collection-Independent Automatic Keyword Extractor.
Proceedings of the Advances in Information Retrieval, 2018

A Text Feature Based Automatic Keyword Extraction Method for Single Documents.
Proceedings of the Advances in Information Retrieval, 2018

Online Gradient Boosting for Incremental Recommender Systems.
Proceedings of the Discovery Science - 21st International Conference, 2018

A Study on Contextual Influences on Automatic Playlist Continuation.
Proceedings of the Artificial Intelligence Research and Development, 2018

Predicting Age of Onset in TTR-FAP Patients with Genealogical Features.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
Identifying top relevant dates for implicit time sensitive queries.
Inf. Retr. Journal, 2017

Mind the Gap: A Well Log Data Analysis.
CoRR, 2017

Proceedings of the Workshop on Data Mining for Oil and Gas.
CoRR, 2017

An Overview of Data Mining Applications in Oil and Gas Exploration: Structural Geology and Reservoir Property-Issues.
CoRR, 2017

RUTICO: Recommending Successful Learning Paths Under Time Constraints.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Improving Incremental Recommenders with Online Bagging.
Proceedings of the Progress in Artificial Intelligence, 2017

Classifying Heart Sounds Using Images of MFCC and Temporal Features.
Proceedings of the Progress in Artificial Intelligence, 2017

2016
GTE-Rank: A time-aware search engine to answer time-sensitive queries.
Inf. Process. Manag., 2016

PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese.
CoRR, 2016

Online Bagging for Recommendation with Incremental Matrix Factorization.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Scalable Online Top-N Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

Assessing topic discovery evaluation measures on Facebook publications of political activists in Brazil.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

Predicting User Preference Based on Matrix Factorization by Exploiting Music Attributes.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

An Overview of Evolutionary Computing for Interpretation in the Oil and Gas Industry.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

Using Smartphones to Classify Urban Sounds.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

Automatic Classification of Anuran Sounds Using Convolutional Neural Networks.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015
An overview on the exploitation of time in collaborative filtering.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2015

Improving the accuracy of long-term travel time prediction using heterogeneous ensembles.
Neurocomputing, 2015

Guest editors introduction: special issue of the ECMLPKDD 2015 journal track.
Data Min. Knowl. Discov., 2015

Evaluation of recommender systems in streaming environments.
CoRR, 2015

Long Term Goal Oriented Recommender Systems.
Proceedings of the WEBIST 2015, 2015

Collaborative filtering with recency-based negative feedback.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Accelerating recommender systems using GPUs.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Forgetting methods for incremental matrix factorization in recommender systems.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Metalearning for Multiple-Domain Transfer Learning.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

2014
A data warehouse to support web site automation.
J. Braz. Comp. Soc., 2014

Survey of Temporal Information Retrieval and Related Applications.
ACM Comput. Surv., 2014

Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Heart sounds classification using motif based segmentation.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

A study of machine learning methods for detecting user interest during web sessions.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Classifying heart sounds using SAX motifs, random forests and text mining techniques.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Monitoring Recommender Systems: A Business Intelligence Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

GTE-Cluster: A Temporal Search Interface for Implicit Temporal Queries.
Proceedings of the Advances in Information Retrieval, 2014

GTE-Rank: Searching for Implicit Temporal Query Results.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals.
Inf. Syst. E-Business Management, 2013

Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems.
Inf. Process. Manag., 2013

Combining usage and content in an online recommendation system for music in the Long Tail.
IJMIR, 2013

Comparing relational and non-relational algorithms for clustering propositional data.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Multi-interval Discretization of Continuous Attributes for Label Ranking.
Proceedings of the Discovery Science - 16th International Conference, 2013

Binary recommender systems: introduction, an application and outlook.
Proceedings of the International C* Conference on Computer Science & Software Engineering, 2013

Classifying heart sounds using multiresolution time series motifs: an exploratory study.
Proceedings of the International C* Conference on Computer Science & Software Engineering, 2013

2012
Forgetting mechanisms for scalable collaborative filtering.
J. Braz. Comp. Soc., 2012

D-Confidence: an active learning strategy to reduce label disclosure complexity in the presence of imbalanced class distributions.
J. Braz. Comp. Soc., 2012

Comparing state-of-the-art regression methods for long term travel time prediction.
Intell. Data Anal., 2012

Optimal leverage association rules with numerical interval conditions.
Intell. Data Anal., 2012

Ensemble approaches for regression: A survey.
ACM Comput. Surv., 2012

Combining usage and content in an online music recommendation system for music in the long-tail.
Proceedings of the 21st World Wide Web Conference, 2012

Enriching temporal query understanding through date identification: how to tag implicit temporal queries?
Proceedings of the 2nd Temporal Web Analytics Workshop, 2012

Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Hierarchical confidence-based active clustering.
Proceedings of the ACM Symposium on Applied Computing, 2012

Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning.
Proceedings of the Discovery Science - 15th International Conference, 2012

A Multi-Agent Recommender System.
Proceedings of the Distributed Computing and Artificial Intelligence, 2012

GTE: a distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Using Contextual Information as Virtual Items on Top-N Recommender Systems
CoRR, 2011

What is the Temporal Value of Web Snippets?
Proceedings of the WWW2011 Workshop on Linked Data on the Web, 2011

Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Mining Association Rules for Label Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Exploratory Study on the Impact of Temporal Features on the Classification and Clustering of Future-Related Web Documents.
Proceedings of the Progress in Artificial Intelligence, 2011

2010
Ensembles of jittered association rule classifiers.
Data Min. Knowl. Discov., 2010

2009
The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Disambiguating Web Search Results by Topic and Temporal Clustering - A Proposal.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations.
Proceedings of the Progress in Artificial Intelligence, 2009

Efficient Coverage of Case Space with Active Learning.
Proceedings of the Progress in Artificial Intelligence, 2009

Analysis and Forecast of Team Formation in the Simulated Robotic Soccer Domain.
Proceedings of the Progress in Artificial Intelligence, 2009

2008
A Methodology for Exploring Association Models.
Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Incremental Collaborative Filtering for Binary Ratings.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

A Knowledge Discovery Method for the Characterization of Protein Unfolding Processes.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

2007
Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study.
Proceedings of the Progress in Artificial Intelligence, 2007

A Tool for Interactive Subgroup Discovery Using Distribution Rules.
Proceedings of the Progress in Artificial Intelligence, 2007

Comparing Rule Measures for Predictive Association Rules.
Proceedings of the Machine Learning: ECML 2007, 2007

Iterative Reordering of Rules for Building Ensembles Without Relearning.
Proceedings of the Discovery Science, 10th International Conference, 2007

2006
Design of an end-to-end method to extract information from tables.
IJDAR, 2006

Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Personalization of E-newsletters Based on Web Log Analysis and Clustering.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Distribution Rules with Numeric Attributes of Interest.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Improving SVM-Linear Predictions Using CART for Example Selection.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

A Web-Based System to Monitor the Quality of Meta-Data in Web Portals.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

Visual Interactive Subgroup Discovery with Numerical Properties of Interest.
Proceedings of the Discovery Science, 9th International Conference, 2006

2005
Semi-automatic Creation and Maintenance of Web Resources with webTopic.
Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005

Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining.
Proceedings of the Progress in Artificial Intelligence, 2005

An Experiment with Association Rules and Classification: Post-Bagging and Conviction.
Proceedings of the Discovery Science, 8th International Conference, 2005

2004
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Model-Based Collaborative Filtering for Team Building Support.
Proceedings of the ICEIS 2004, 2004

Extreme Adaptivity.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2004

2003
Visualization and Evaluation Support of Knowledge Discovery through the Predictive Model Markup Language.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Automatic Selection of Table Areas in Documents for Information Extraction.
Proceedings of the Progress in Artificial Intelligence, 2003

The Use of Ada, GNAT.Spitbol, and XML in the Sol-Eu-Net Project.
Proceedings of the Reliable Software Technologies, 2003

2002
Remote Collaborative Data Mining Through Online Knowledge Sharing.
Proceedings of the Collaborative Business Ecosystems and Virtual Enterprises, 2002

Post-processing Operators for Browsing Large Sets of Association Rules.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Collaboration Support for Virtual Data Mining Enterprises.
Proceedings of the Advances in Learning Software Organizations, 2001

2000
Integrating Rules and Cases in Learning via Case Explanation and Paradigm Shift.
Proceedings of the Advances in Artificial Intelligence, 2000

Combining Rule-Based and Case-Based Learning for Iterative Part-of-Speech Tagging.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999
Iterative Induction of Logic Programs, An approach to logic program synthesis from incomplete specifications.
AI Commun., 1999

Iterative Part-of-Speech Tagging.
Proceedings of the Learning Language in Logic, 1999

1996
Integrity Constraints in ILP Using a Monte Carlo Approach.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1995
Learning Recursion with Iterative Bootstrap Induction (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

1994
Learning by Refining Algorithm Sketches.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994


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