--- a/main_macros.xml	Fri Aug 17 12:30:04 2018 -0400
+++ b/main_macros.xml	Thu Aug 23 16:20:19 2018 -0400
@@ -1424,19 +1424,19 @@
   <xml name="sklearn_citation">
     <citations>
         <citation type="bibtex">
-            @article{scikit-learn,
-             title={Scikit-learn: Machine Learning in {P}ython},
-             author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
-                     and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
-                     and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
-                     Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
-             journal={Journal of Machine Learning Research},
-             volume={12},
-             pages={2825--2830},
-             year={2011}
-             url = {https://github.com/scikit-learn/scikit-learn}
-            }
+          @article{scikit-learn,
+            title={Scikit-learn: Machine Learning in {P}ython},
+            author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
+                    and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
+                    and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
+                    Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
+            journal={Journal of Machine Learning Research},
+            volume={12},
+            pages={2825--2830},
+            year={2011}
+          }
         </citation>
+        <yield/>
     </citations>
   </xml>
 
@@ -1454,4 +1454,48 @@
     </citations>
   </xml>
 
+  <xml name="skrebate_citation">
+    <citation type="bibtex">
+      @article{DBLP:journals/corr/abs-1711-08477,
+        author    = {Ryan J. Urbanowicz and
+                    Randal S. Olson and
+                    Peter Schmitt and
+                    Melissa Meeker and
+                    Jason H. Moore},
+        title     = {Benchmarking Relief-Based Feature Selection Methods},
+        journal   = {CoRR},
+        volume    = {abs/1711.08477},
+        year      = {2017},
+        url       = {http://arxiv.org/abs/1711.08477},
+        archivePrefix = {arXiv},
+        eprint    = {1711.08477},
+        timestamp = {Mon, 13 Aug 2018 16:46:04 +0200},
+        biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1711-08477},
+        bibsource = {dblp computer science bibliography, https://dblp.org}
+      }
+    </citation>
+  </xml>
+
+  <xml name="xgboost_citation">
+    <citation type="bibtex">
+      @inproceedings{Chen:2016:XST:2939672.2939785,
+        author = {Chen, Tianqi and Guestrin, Carlos},
+        title = {{XGBoost}: A Scalable Tree Boosting System},
+        booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
+        series = {KDD '16},
+        year = {2016},
+        isbn = {978-1-4503-4232-2},
+        location = {San Francisco, California, USA},
+        pages = {785--794},
+        numpages = {10},
+        url = {http://doi.acm.org/10.1145/2939672.2939785},
+        doi = {10.1145/2939672.2939785},
+        acmid = {2939785},
+        publisher = {ACM},
+        address = {New York, NY, USA},
+        keywords = {large-scale machine learning},
+      }
+    </citation>
+  </xml>
+
 </macros>