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A BAC-based physical map of the Nile tilapia genome

BMC genomics, 2005-06, Vol.6 (1), p.89-89, Article 89

2005

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A simple, bead-based approach for multi-SNP molecular haplotyping

Nucleic acids research, 2004-01, Vol.32 (22), p.e186-e186

2004

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Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers

2024 edition., 2024

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Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers

1, 2022

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Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings

1st Edition 2020, 2020

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Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

1st Edition 2019, 2019

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Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers

1st ed. 2015, 2015

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Machine Learning and Data Mining for Sports Analytics: 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

1, 2023

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Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domains

Scalable Uncertainty Management, p.3-16

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V

1, 2024

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II

1, 2024

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Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV

1, 2024

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Modal Interpretation of Formal Concept Analysis for Incomplete Representations

Scalable Uncertainty Management, p.261-269

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A Symbolic Approach for Counterfactual Explanations

Scalable Uncertainty Management, p.270-277

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From Possibilistic Rule-Based Systems to Machine Learning - A Discussion Paper

Scalable Uncertainty Management, p.35-51

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Machine Learning and Data Mining for Sports Analytics: 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

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When Nominal Analogical Proportions Do Not Fail

Scalable Uncertainty Management, p.68-83

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Computable Randomness Is About More Than Probabilities

Scalable Uncertainty Management, p.172-186

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Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study

Scalable Uncertainty Management, p.141-155

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What Data Should Be Collected for a Good Handball Expected Goal model?

Communications in Computer and Information Science, 2024, Vol.2035, p.119-130

2024

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Identifying Player Roles in Ice Hockey

Machine Learning and Data Mining for Sports Analytics, 2024, p.131-143

2024

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Inferring from an Imprecise Plackett–Luce Model: Application to Label Ranking

Scalable Uncertainty Management, p.98-112

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Dealing with Atypical Instances in Evidential Decision-Making

Scalable Uncertainty Management, p.217-225

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An Algorithm for the Contension Inconsistency Measure Using Reductions to Answer Set Programming

Scalable Uncertainty Management, p.289-296

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Equity in Learning Problems: An OWA Approach

Scalable Uncertainty Management, p.187-199

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A BAC-based physical map of the Nile tilapia genome

A simple, bead-based approach for multi-SNP molecular haplotyping

Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Turin, Italy, September 18, 2023, Revised Selected Papers

Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers

Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings

Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers

Machine Learning and Data Mining for Sports Analytics: 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domains

Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V

Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II

Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV

Modal Interpretation of Formal Concept Analysis for Incomplete Representations

A Symbolic Approach for Counterfactual Explanations

From Possibilistic Rule-Based Systems to Machine Learning - A Discussion Paper

Machine Learning and Data Mining for Sports Analytics: 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

When Nominal Analogical Proportions Do Not Fail

Computable Randomness Is About More Than Probabilities

Belief Functions for Safety Arguments Confidence Estimation: A Comparative Study

What Data Should Be Collected for a Good Handball Expected Goal model?

Identifying Player Roles in Ice Hockey

Inferring from an Imprecise Plackett–Luce Model: Application to Label Ranking

Dealing with Atypical Instances in Evidential Decision-Making

An Algorithm for the Contension Inconsistency Measure Using Reductions to Answer Set Programming

Equity in Learning Problems: An OWA Approach

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