From 25a67e0af43146b21b63c6cf0af95328183d12ff Mon Sep 17 00:00:00 2001
From: Andre Anjos <andre.dos.anjos@gmail.com>
Date: Mon, 7 Sep 2020 14:16:07 +0200
Subject: [PATCH] [doc/results/baselines] Fix unused reference

---
 doc/results/baselines/index.rst | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/doc/results/baselines/index.rst b/doc/results/baselines/index.rst
index ba45bd75..5b97c0eb 100644
--- a/doc/results/baselines/index.rst
+++ b/doc/results/baselines/index.rst
@@ -15,7 +15,8 @@ F1 Scores (micro-level)
   U-Net Models are trained for a fixed number of 1000 epochs, with a learning
   rate of 0.001 until epoch 900 and then 0.0001 until the end of the training,
   after being initialized with a VGG-16 backend.  Little W-Net models are
-  trained using a cosine anneling strategy (see [SMITH-2017]_) for 2000 epochs.
+  trained using a cosine anneling strategy (see [GALDRAN-2020]_ and
+  [SMITH-2017]_) for 2000 epochs.
 * During the training session, an unaugmented copy of the training set is used
   as validation set.  We keep checkpoints for the best performing networks
   based on such validation set.  The best performing network during training is
-- 
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