Year |
Citation |
Score |
2019 |
Khosravi H, Kitto K, Williams JJ. RiPPLE: A crowdsourced adaptive platform for recommendation of learning activities Journal of Learning Analytics. 6. DOI: 10.18608/Jla.2019.63.12 |
0.397 |
|
2019 |
Cooper KML, Khosravi H. Multilevel visualisation of topic dependency models for assessment design and delivery: a hypergraph based approach Journal of Visual Languages and Computing. 2019: 69-82. DOI: 10.18293/Jvlc2019-N2-018 |
0.422 |
|
2018 |
Khosravi H, Cooper KML. Topic dependency models: graph-based visual analytics for communicating assessment data Journal of Learning Analytics. 5: 136-153. DOI: 10.18608/Jla.2018.53.9 |
0.312 |
|
2014 |
Schulte O, Khosravi H, Kirkpatrick AE, Gao T, Zhu Y. Modelling relational statistics with Bayes Nets Machine Learning. 94: 105-125. DOI: 10.1007/S10994-013-5362-7 |
0.61 |
|
2013 |
Khosravi H, Bozorgkhan A, Schulte O. Transaction-based link strength prediction in a social network Proceedings of the 2013 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2013 - 2013 Ieee Symposium Series On Computational Intelligence, Ssci 2013. 191-198. DOI: 10.1109/CIDM.2013.6597236 |
0.546 |
|
2013 |
Khosravi H. Fast parameter learning for Markov logic networks using Bayes nets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7842: 102-115. DOI: 10.1007/978-3-642-38812-5_8 |
0.386 |
|
2012 |
Schulte O, Khosravi H, Man T. Learning directed relational models with recursive dependencies Machine Learning. 89: 299-316. DOI: 10.1007/S10994-012-5308-5 |
0.654 |
|
2012 |
Khosravi H, Schulte O, Hu J, Gao T. Learning compact markov logic networks with decision trees Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7207: 20-25. DOI: 10.1007/S10994-012-5307-6 |
0.659 |
|
2012 |
Schulte O, Khosravi H. Learning graphical models for relational data via lattice search Machine Learning. 88: 331-368. DOI: 10.1007/S10994-012-5289-4 |
0.665 |
|
2010 |
Bakker L, Hare W, Khosravi H, Ramadanovic B. A social network model of investment behaviour in the stock market Physica a: Statistical Mechanics and Its Applications. 389: 1223-1229. DOI: 10.1016/J.Physa.2009.11.013 |
0.304 |
|
2010 |
Khosravi H, Bina B. A survey on statistical relational learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6085: 256-268. DOI: 10.1007/978-3-642-13059-5_25 |
0.387 |
|
2010 |
Schulte O, Frigo G, Greiner R, Khosravi H. The IMAP hybrid method for learning Gaussian bayes nets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6085: 123-134. DOI: 10.1007/978-3-642-13059-5_14 |
0.589 |
|
2010 |
Khosravi H, Schulte O, Man T, Xu X, Bina B. Structure learning for Markov Logic Networks with many descriptive attributes Proceedings of the National Conference On Artificial Intelligence. 1: 487-493. |
0.662 |
|
2009 |
Bina B, Schulte O, Khosravi H. LNBC: A link-based naive bayes classifier Icdm Workshops 2009 - Ieee International Conference On Data Mining. 489-494. DOI: 10.1109/ICDMW.2009.116 |
0.568 |
|
2009 |
Schulte O, Frigo G, Greiner R, Luo W, Khosravi H. A new hybrid method for bayesian network learning with dependency constraints 2009 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2009 - Proceedings. 53-60. DOI: 10.1109/CIDM.2009.4938629 |
0.618 |
|
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