Merge pull request #14 from Raschka-research-group/v1.2

v1.2

README.md

@@ -58,19 +58,29 @@ If you use CORAL or CORN  as part of your workflow in a scientific publication,
 
 ```
 @article{coral2020,
-title = "Rank consistent ordinal regression for neural networks with application to age estimation",
-journal = "Pattern Recognition Letters",
-volume = "140",
-pages = "325 - 331",
-year = "2020",
-issn = "0167-8655",
-doi = "https://doi.org/10.1016/j.patrec.2020.11.008",
-url = "http://www.sciencedirect.com/science/article/pii/S016786552030413X",
-author = "Wenzhi Cao and Vahid Mirjalili and Sebastian Raschka",
-keywords = "Deep learning, Ordinal regression, Convolutional neural networks, Age prediction, Machine learning, Biometrics"
+title={Rank consistent ordinal regression for neural networks with application to age estimation},
+journal={Pattern Recognition Letters},
+volume={140},
+pages={325-331},
+year={2020},
+issn={0167-8655},
+doi={https://doi.org/10.1016/j.patrec.2020.11.008},
+url={http://www.sciencedirect.com/science/article/pii/S016786552030413X},
+author={Wenzhi Cao and Vahid Mirjalili and Sebastian Raschka}
 }
 ```
 
 **CORN**
 
-TBD
+- Xintong Shi, Wenzhi Cao, and Sebastian Raschka (2021). Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. Arxiv preprint;  [https://arxiv.org/abs/2111.08851](https://arxiv.org/abs/2111.08851)
+
+```
+@misc{shi2021deep,
+      title={Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities}, 
+      author={Xintong Shi and Wenzhi Cao and Sebastian Raschka},
+      year={2021},
+      eprint={2111.08851},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG}
+}
+```

docs/CHANGELOG.md

@@ -5,7 +5,7 @@ The changelog for the current development version is available at
 
 
 
-### 1.2.0dev (11-18-2021)
+### 1.2.0dev (11-17-2021)
 
 ##### Downloads
 
@@ -14,7 +14,7 @@ The changelog for the current development version is available at
 
 ##### New Features
 
-- Add CORN loss corresponding to the upcoming manuscript, "Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities"
+- Add CORN loss corresponding to the manuscript, "[Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities](https://arxiv.org/abs/2111.08851)"
 
 ##### Changes
 

docs/citing.md

@@ -8,19 +8,29 @@ If you use CORAL or CORN  as part of your workflow in a scientific publication,
 
 ```
 @article{coral2020,
-title = "Rank consistent ordinal regression for neural networks with application to age estimation",
-journal = "Pattern Recognition Letters",
-volume = "140",
-pages = "325 - 331",
-year = "2020",
-issn = "0167-8655",
-doi = "https://doi.org/10.1016/j.patrec.2020.11.008",
-url = "http://www.sciencedirect.com/science/article/pii/S016786552030413X",
-author = "Wenzhi Cao and Vahid Mirjalili and Sebastian Raschka",
-keywords = "Deep learning, Ordinal regression, Convolutional neural networks, Age prediction, Machine learning, Biometrics"
+title={Rank consistent ordinal regression for neural networks with application to age estimation},
+journal={Pattern Recognition Letters},
+volume={140},
+pages={325-331},
+year={2020},
+issn={0167-8655},
+doi={https://doi.org/10.1016/j.patrec.2020.11.008},
+url={http://www.sciencedirect.com/science/article/pii/S016786552030413X},
+author={Wenzhi Cao and Vahid Mirjalili and Sebastian Raschka}
 }
 ```
 
 **CORN**
 
-TBD
+- Xintong Shi, Wenzhi Cao, and Sebastian Raschka (2021). Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. Arxiv preprint;  https://arxiv.org/abs/2111.08851
+
+```
+@misc{shi2021deep,
+      title={Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities}, 
+      author={Xintong Shi and Wenzhi Cao and Sebastian Raschka},
+      year={2021},
+      eprint={2111.08851},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG}
+}
+```

docs/index.md

@@ -29,33 +29,15 @@ If you are looking for the orginal implementation, training datasets, and traini
 
 
 
----
+### References
 
-## Cite as
 
-If you use CORAL or CORAL  as part of your workflow in a scientific publication, please consider citing the corresponding paper:
 
 **CORAL**
 
 - Wenzhi Cao, Vahid Mirjalili, and Sebastian Raschka (2020).  *Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation*. Pattern Recognition Letters 140, pp. 325-331; [https://doi.org/10.1016/j.patrec.2020.11.008](https://doi.org/10.1016/j.patrec.2020.11.008).
 
 
-
-```
-@article{coral2020,
-title = "Rank consistent ordinal regression for neural networks with application to age estimation",
-journal = "Pattern Recognition Letters",
-volume = "140",
-pages = "325 - 331",
-year = "2020",
-issn = "0167-8655",
-doi = "https://doi.org/10.1016/j.patrec.2020.11.008",
-url = "http://www.sciencedirect.com/science/article/pii/S016786552030413X",
-author = "Wenzhi Cao and Vahid Mirjalili and Sebastian Raschka",
-keywords = "Deep learning, Ordinal regression, Convolutional neural networks, Age prediction, Machine learning, Biometrics"
-}
-```
-
 **CORN**
 
-TBD
+- Xintong Shi, Wenzhi Cao, and Sebastian Raschka (2021). Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. Arxiv preprint;  https://arxiv.org/abs/2111.08851