Year |
Citation |
Score |
2020 |
Ramesh A, Goldwasser D, Huang B, Daume H, Getoor L. Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields Ieee Transactions On Learning Technologies. 13: 107-122. DOI: 10.1109/Tlt.2018.2889953 |
0.715 |
|
2019 |
Kouki P, Pujara J, Marcum C, Koehly LM, Getoor L. Collective entity resolution in multi-relational familial networks Knowledge and Information Systems. 61: 1547-1581. DOI: 10.1007/S10115-018-1246-2 |
0.314 |
|
2017 |
Rekatsinas T, Ghosh S, Mekaru SR, Nsoesie EO, Brownstein JS, Getoor L, Ramakrishnan N. Forecasting rare disease outbreaks from open source indicators Statistical Analysis and Data Mining: the Asa Data Science Journal. 10: 136-150. DOI: 10.1002/Sam.11337 |
0.337 |
|
2016 |
Sridhar D, Fakhraei S, Getoor L. A Probabilistic Approach for Collective Similarity-based Drug-Drug Interaction Prediction. Bioinformatics (Oxford, England). PMID 27354693 DOI: 10.1093/Bioinformatics/Btw342 |
0.303 |
|
2016 |
Muthiah S, Huang B, Arredondo J, Mares D, Getoor L, Katz G, Ramakrishnan N. Capturing Planned Protests from Open Source Indicators Ai Magazine. 37: 63. DOI: 10.1609/Aimag.V37I2.2631 |
0.703 |
|
2016 |
Namata GM, London B, Getoor L. Collective Graph Identification Acm Transactions On Knowledge Discovery From Data. 10: 25. DOI: 10.1145/2818378 |
0.313 |
|
2015 |
Kimmig A, Mihalkova L, Getoor L. Lifted graphical models: a survey Machine Learning. 99: 1-45. DOI: 10.1007/S10994-014-5443-2 |
0.353 |
|
2014 |
Fakhraei S, Huang B, Raschid L, Getoor L. Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 11: 775-87. PMID 26356852 DOI: 10.1109/Tcbb.2014.2325031 |
0.709 |
|
2014 |
Skaggs B, Getoor L. Topic Modeling for Wikipedia Link Disambiguation Acm Transactions On Information Systems. 32: 10. DOI: 10.1145/2633044 |
0.308 |
|
2014 |
Ramesh A, Goldwasser D, Huang B, Daume H, Getoor L. Uncovering hidden engagement patterns for predicting learner performance in MOOCs Legal Studies. 157-158. DOI: 10.1145/2556325.2567857 |
0.709 |
|
2013 |
Papadimitriou P, Tsaparas P, Fuxman A, Getoor L. TACI: Taxonomy-aware catalog integration Ieee Transactions On Knowledge and Data Engineering. 25: 1643-1655. DOI: 10.1109/Tkde.2012.54 |
0.328 |
|
2011 |
Licamele L, Getoor L. A method for the detection of meaningful and reproducible group signatures from gene expression profiles. Journal of Bioinformatics and Computational Biology. 9: 431-51. PMID 21714134 DOI: 10.1142/S0219720011005598 |
0.692 |
|
2011 |
Brefeld U, Getoor L, Macskassy SA. Eighth workshop on mining and learning with graphs Sigkdd Explorations. 12: 63-65. DOI: 10.1145/1964897.1964915 |
0.328 |
|
2010 |
Licamele L, Getoor L. Indirect two-sided relative ranking: a robust similarity measure for gene expression data. Bmc Bioinformatics. 11: 137. PMID 20236517 DOI: 10.1186/1471-2105-11-137 |
0.701 |
|
2010 |
Horvitz E, Getoor L, Guestrin C, Hendler J, Konstan J, Subramanian D, Wellman M, Kautz H. AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead Ai Magazine. 31: 103. DOI: 10.1609/Aimag.V31I3.2293 |
0.663 |
|
2010 |
Namata GMS, Getoor L. Identifying graphs from noisy and incomplete data Sigkdd Explorations. 12: 33-39. DOI: 10.1145/1882471.1882477 |
0.305 |
|
2010 |
Pei J, Getoor L, Keijzer Ad. Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09) Sigkdd Explorations. 11: 90-91. DOI: 10.1145/1809400.1809419 |
0.374 |
|
2009 |
Polymeropoulos MH, Licamele L, Volpi S, Mack K, Mitkus SN, Carstea ED, Getoor L, Thompson A, Lavedan C. Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia. Schizophrenia Research. 108: 134-42. PMID 19150222 DOI: 10.1016/J.Schres.2008.11.025 |
0.679 |
|
2008 |
Kang H, Getoor L, Shneiderman B, Bilgic M, Licamele L. Interactive entity resolution in relational data: a visual analytic tool and its evaluation. Ieee Transactions On Visualization and Computer Graphics. 14: 999-1014. PMID 18599913 DOI: 10.1109/Tvcg.2008.55 |
0.701 |
|
2008 |
Sen P, Namata GM, Bilgic M, Getoor L, Gallagher B, Eliassi-Rad T. Collective Classification in Network Data Ai Magazine. 29: 93-106. DOI: 10.1609/Aimag.V29I3.2157 |
0.301 |
|
2007 |
Bhattacharya I, Getoor L. Query-time entity resolution Journal of Artificial Intelligence Research. 30: 621-657. DOI: 10.1613/Jair.2290 |
0.341 |
|
2007 |
Bhattacharya I, Getoor L. Collective entity resolution in relational data Acm Transactions On Knowledge Discovery From Data. 1. DOI: 10.1145/1217299.1217304 |
0.333 |
|
2006 |
Piatetsky-Shapiro G, Djeraba C, Getoor L, Grossman R, Feldman R, Zaki M. What are the grand challenges for data mining? Acm Sigkdd Explorations Newsletter. 8: 70-77. DOI: 10.1145/1233321.1233330 |
0.315 |
|
2005 |
Getoor L, Diehl CP. Link mining: a survey Sigkdd Explorations. 7: 3-12. DOI: 10.1145/1117454.1117456 |
0.316 |
|
2005 |
Getoor L, Diehl CP. Introduction to the special issue on link mining Sigkdd Explorations. 7: 1-2. DOI: 10.1145/1117454.1117455 |
0.357 |
|
2004 |
Getoor L, Rhee JT, Koller D, Small P. Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine. 30: 233-56. PMID 15081074 DOI: 10.1016/J.Artmed.2003.11.003 |
0.551 |
|
2003 |
Getoor L. Link mining: a new data mining challenge Sigkdd Explorations. 5: 84-89. DOI: 10.1145/959242.959253 |
0.342 |
|
2003 |
Hung E, Getoor L, Subrahmanian VS. Probabilistic interval XML Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2572: 361-377. DOI: 10.1145/1276920.1276926 |
0.302 |
|
2001 |
Lesperance Y, Wagnerg G, Birmingham W, Bollacker K, Nareyek A, Walser JP, Aha D, Finin T, Grosof B, Japkowicz N, Holte R, Getoor L, Gomes CP, Hoos HH, Schultz AC, et al. AAAI 2000 workshop reports Ai Magazine. 22: 127-135. DOI: 10.1609/Aimag.V22I1.1552 |
0.303 |
|
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