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@@ -286,8 +286,8 @@ Then each input token at time \( t \in \{1, \dots, T\} \) is:
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The full input sequence is then represented as a matrix:
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\[
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X = \begin{bmatrix}
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x_1 \\
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x_2 \\
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x_1 \\
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x_2 \\
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\vdots \\
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x_T
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\end{bmatrix}
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@@ -525,11 +525,11 @@ and whether incorporating data from previous cycles improves learning or introdu
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Window length & Historical context in days (input window size) & 10, 20, 40, 80, 160 \\
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\bottomrule
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\end{tabular}
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\caption{Input-related hyperparameters for LSTM and Transformer models.}
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\caption{\parbox{\linewidth}{Input-related hyperparameters for LSTM and Transformer models.}}
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\label{tab:input_hyperparameters_basic}
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\end{table}
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\begin{table}[ht]
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\begin{table}[htbp]
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\centering
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\begin{tabular}{l>{\raggedright\arraybackslash}p{0.45\linewidth}>{\raggedright\arraybackslash}p{0.3\linewidth}}
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\toprule
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@@ -897,4 +897,12 @@ Explicit fairness evaluations and diverse validation cohorts are essential befor
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work is a medical device company, which underscores the need to guard against commercial bias.
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Results should be independently validated, and any translation into clinical or consumer use must be preceded by prospective,
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peer-reviewed trials.
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Without such validation, deploying fertility prediction tools risks undermining trust and causing harm. \\
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Without such validation, deploying fertility prediction tools risks undermining trust and causing harm.
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\section{Code Availability}\label{sec:code_availability}
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The complete source code and LaTeX files used for this thesis are available at:\\
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\small
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\url{https://gitlab.com/blankinator/temperature-based-fertility-prediction-thesis}\\
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\normalsize
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The repository is archived under the release v1.1-thesis-final.
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