Ghent University Academic Bibliography

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A comparison of embedding aggregation strategies in drug-target interaction prediction

Dimitrios Iliadis (UGent) , Bernard De Baets (UGent) , Tapio Pahikkala and Willem Waegeman (UGent)

(2024) BMC BIOINFORMATICS. 25(1).
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A general-purpose toolbox for efficient Kronecker-based learning

Michiel Stock (UGent) , Tapio Pahikkala, Antti Airola and Bernard De Baets (UGent)

(2020) JuliaCon 2019, Proceedings. In Proceedings of the JuliaCon conferences 2(13).
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Algebraic shortcuts for leave-one-out cross-validation in supervised network inference

Michiel Stock (UGent) , Tapio Pahikkala, Antti Airola, Willem Waegeman (UGent) and Bernard De Baets (UGent)

(2020) BRIEFINGS IN BIOINFORMATICS. 21(1). p.262-271
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A comparative study of pairwise learning methods based on kernel ridge regression

Michiel Stock (UGent) , Tapio Pahikkala, Antti Airola, Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2018) NEURAL COMPUTATION. 30(8). p.2245-2283
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A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

Tapio Pahikkala, Michiel Stock (UGent) , Antti Airola, Tero Aittokallio, Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2014) ECML PKDD 2014 : machine learning and knowledge discovery in databases. In Lecture Notes in Computer Science 8725. p.517-532
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Identification of functionally related enzymes by learning-to-rank methods

Michiel Stock (UGent) , Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2014) IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 11(6). p.1157-1169
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Efficient regularized least-squares algorithms for conditional ranking on relational data

Tapio Pahikkala, Antti Airola, Michiel Stock (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2013) MACHINE LEARNING. 93(2-3). p.321-356
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A kernel-based framework for learning graded relations from data

Willem Waegeman (UGent) , Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock (UGent) and Bernard De Baets (UGent)

(2012) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 20(6). p.1090-1101
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Learning monadic and dyadic relations : three case studies in systems biology

Michiel Stock (UGent) , Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2012) Proceedings of the ECML/PKDD 2012 workshop on learning and discovery in symbolic systems biology. p.74-84
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Conditional ranking algorithms for efﬁcient object retrieval and object querying on relational data

Willem Waegeman (UGent) , Michiel Stock (UGent) , Bernard De Baets (UGent) , Tapio Pahikkala, Antti Airola and Tapio Salakoski

(2012) Dutch-Belgian Information Retrieval, 12th Workshop, Abstracts.
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An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

Antti Airola, Tapio Pahikkala, Willem Waegeman (UGent) , Bernard De Baets (UGent) and Tapio Salakoski

(2011) COMPUTATIONAL STATISTICS & DATA ANALYSIS. 55(4). p.1828-1844
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Learning valued relations from data

Willem Waegeman (UGent) , Tapio Pahikkala, Antti Airola, Tapio Salakoski and Bernard De Baets (UGent)

(2011) Advances in Intelligent and Soft Computing. 107. p.257-268
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A kernel framework for learning relations from paired-comparison data

Willem Waegeman (UGent) , Tapio Pahikkala, Antti Airola, Tapio Salakoski and Bernard De Baets (UGent)

(2011) ERCIM Working Group on Computing and Statistics, 4th International conference, Abstracts.
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A comparison of AUC estimators in small-sample studies

Antti Airola, Tapio Pahikkala, Willem Waegeman (UGent) , Bernard De Baets (UGent) and Tapio Salakoski

(2010) JMLR Workshop and Conference Proceedings. p.3-13
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Learning intransitive reciprocal relations with kernel methods

Tapio Pahikkala, Willem Waegeman (UGent) , Evgeni Tsivtsivadze, Tapio Salakoski and Bernard De Baets (UGent)

(2010) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 206(3). p.676-685
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Conditional ranking on relational data

Tapio Pahikkala, Willem Waegeman (UGent) , Antti Airola, Tapio Salakoski and Bernard De Baets (UGent)

(2010) Lecture Notes in Artificial Intelligence. 6322. p.499-514
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Conditional ranking on relational data

Willem Waegeman (UGent) , Tapio Pahikkala, Antti Airola, Tapio Salakoski and Bernard De Baets (UGent)

(2010) Operations Research, 24th European conference, Abstracts.
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Learning intransitive reciprocal relations with regularized least-squares

Willem Waegeman (UGent) , Tapio Pahikkala, Evgeni Tsivtsivadze, Tapio Salakoski and Bernard De Baets (UGent)

(2009) European conference on Operations Research, 23rd, Abstracts.
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Learning intransitive reciprocal relations with regularized least-squares

Tapio Pahikkala, Willem Waegeman (UGent) , Evgeni Tsivtsivadze, Tapio Salakoski and Bernard De Baets (UGent)

(2009) The 18th Annual Belgian-Dutch conference on Machine Learning : proceedings of the conference. p.13-20
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From ranking to intranstivie preference learning : rock-paper-scissors and beyond

Tapio Pahikkala, Willem Waegeman (UGent) , Evgeni Tsivtsivadze, Tapio Salakoski and Bernard De Baets (UGent)

(2009) ECML PKDD 2009 : Preference Learning, Proceedings. p.84-100

Academic Bibliography

A comparison of embedding aggregation strategies in drug-target interaction prediction

A general-purpose toolbox for efficient Kronecker-based learning

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference

A comparative study of pairwise learning methods based on kernel ridge regression

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

Identification of functionally related enzymes by learning-to-rank methods

Efficient regularized least-squares algorithms for conditional ranking on relational data

A kernel-based framework for learning graded relations from data

Learning monadic and dyadic relations : three case studies in systems biology

Conditional ranking algorithms for efﬁcient object retrieval and object querying on relational data

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

Learning valued relations from data

A kernel framework for learning relations from paired-comparison data

A comparison of AUC estimators in small-sample studies

Learning intransitive reciprocal relations with kernel methods

Conditional ranking on relational data

Conditional ranking on relational data

Learning intransitive reciprocal relations with regularized least-squares

Learning intransitive reciprocal relations with regularized least-squares

From ranking to intranstivie preference learning : rock-paper-scissors and beyond

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