fixes
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@@ -21,7 +21,7 @@ and after-OV (0.0833) all occurring at 20 days.
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The \textbf{Convolutional Transformer} performs best overall at 40 days and best before ovulation at 160 days (MSE 0.0286).
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See Table~\ref{tab:ovover_windows_compact_mse} for a summary.
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\begin{table}[t]
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\begin{table}[htbp]
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\small
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\renewcommand{\arraystretch}{1.15}
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\setlength{\tabcolsep}{6pt}
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@@ -68,7 +68,7 @@ with lowest before-OV MSE at 12/day (0.0255) and after-OV MSE at 288/day (0.0578
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Results are summarized in Table~\ref{tab:ovover_resolution_compact_mse};
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full resolution grids are in Appendix Table~\ref{tab:ov_over_results_by_resolution}.
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\begin{table}[t]
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\begin{table}[htbp]
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\small
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\renewcommand{\arraystretch}{1.15}
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\setlength{\tabcolsep}{6pt}
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@@ -110,7 +110,7 @@ Finally, the \textbf{Convolutional Transformer} achieves its lowest overall and
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Table~\ref{tab:ovover_params_compact_mse} summarizes these parameter-dependent results;
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full comparisons are included in Appendix Tables~\ref{tab:ov_over_results_by_model_parameters_lstm}–\ref{tab:ov_over_results_by_model_parameters_conv_transformer}.
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\begin{table}[t]
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\begin{table}[htbp]
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\scriptsize
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\renewcommand{\arraystretch}{1.15}
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\setlength{\tabcolsep}{6pt}
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@@ -198,7 +198,7 @@ As before, all learned models outperform the baselines by a wide margin.
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The full table with MSE and MAE for all models can be found in the appendix, Table~\ref{tab:regular_vs_irregular_ov_over_results}.
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\section{Extra Figures}\label{app:figs}
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\section{Extra Tables}\label{app:tabs}
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\begin{landscape}
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\begin{table}
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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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@@ -45,7 +45,7 @@ The \textbf{Convolutional Transformer} achieves the lowest overall MSE (0.0041)
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A summary of best-performing window lengths per architecture is shown in Table~\ref{tab:fertility_windows_compact_mse};
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full results including MAE are provided in Appendix Table~\ref{tab:fertility_results_by_window_length}.
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\begin{table}[t]
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\begin{table}[htbp]
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\small
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\renewcommand{\arraystretch}{1.15}
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\setlength{\tabcolsep}{6pt}
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@@ -100,7 +100,7 @@ though higher resolutions can be advantageous for detecting short-term fertile-d
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Results are summarized in Table~\ref{tab:fertility_resolution_compact_mse}; full metrics are in Appendix Table~\ref{tab:fertility_results_by_window_resolution}.
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\begin{table}[t]
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\begin{table}[htbp]
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\small
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\renewcommand{\arraystretch}{1.15}
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\setlength{\tabcolsep}{6pt}
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@@ -148,7 +148,7 @@ Detailed comparisons are shown in Table~\ref{tab:fertility_params_compact_mse},
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with full results in Appendix Tables~\ref{tab:fertility_results_by_model_parameters_lstm}–\ref{tab:fertility_results_by_model_parameters_conv_transformer}.
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\begin{table}[t]
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\begin{table}[htbp]
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\scriptsize
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\renewcommand{\arraystretch}{1.15}
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\setlength{\tabcolsep}{6pt}
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