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2020 – today
- 2021
[j1]Joana Côrte-Real, Inês Dutra
, Ricardo Rocha:
Pruning strategies for the efficient traversal of the search space in PILP environments. Knowl. Inf. Syst. 63(12): 3183-3215 (2021)
2010 – 2019
- 2018
- [b1]Joana Côrte-Real:
Towards Efficient and Scalable Probabilistic Inductive Logic Programming. University of Porto, Portugal, 2018 - [c6]Joana Côrte-Real, Anton Dries, Inês Dutra, Ricardo Rocha:
Improving Candidate Quality of Probabilistic Logic Models. ICLP (Technical Communications) 2018: 6:1-6:14 - 2017
- [c5]Joana Côrte-Real, Inês Dutra, Ricardo Rocha:
On Applying Probabilistic Logic Programming to Breast Cancer Data. ILP 2017: 31-45 - 2016
- [c4]Joana Côrte-Real, Inês Dutra, Ricardo Rocha:
Estimation-Based Search Space Traversal in PILP Environments. ILP 2016: 1-13 - 2015
- [c3]Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha, Elizabeth S. Burnside:
SkILL - A Stochastic Inductive Logic Learner. ICMLA 2015: 555-558 - [i1]Joana Côrte-Real, Theofrastos Mantadelis, Inês de Castro Dutra, Ricardo Rocha:
SkILL - a Stochastic Inductive Logic Learner. CoRR abs/1506.00893 (2015) - 2014
- [c2]Joana Côrte-Real, Inês de Castro Dutra, Ricardo Rocha:
A hybrid mapreduce model for prolog. ISIC 2014: 340-343 - 2013
- [c1]Joana Côrte-Real, Inês de Castro Dutra, Ricardo Rocha:
Prolog programming with a map-reduce parallel construct. PPDP 2013: 285-296
Coauthor Index
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