modified portoflio to be openacess

_pages/portfolio.md

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+---
+layout: archive
+title: "OpenAccess"
+permalink: /openaccess/
+author_profile: true
+---
+
+
+{% include base_path %}
+
+{% assign categories_order = "Datasets,Software,Teaching,Misc" | split: "," %}
+
+{% for category in categories_order %}
+  {% assign publications_in_category = site.portfolio | where: "category", category %}
+
+  {% if publications_in_category.size > 0 %}
+<h2 class="category-toggle">{{ category | capitalize }} <span class="toggle-icon">+</span></h2>
+<div id="publications-{{ category | slugify }}" class="publications-section">
+      {% for post in publications_in_category %}
+        {% include archive-single.html %}
+      {% endfor %}
+</div>
+  {% endif %}
+{% endfor %}
+
+
+<script>
+var categoryToggles = document.querySelectorAll('.category-toggle');
+categoryToggles.forEach(function(toggle) {
+  toggle.addEventListener('click', function() {
+    var publicationsSection = this.nextElementSibling;
+    var toggleIcon = this.querySelector('.toggle-icon');
+
+    if (publicationsSection.style.display === 'none') {
+      publicationsSection.style.display = 'block';
+      toggleIcon.innerHTML = '-';
+    } else {
+      publicationsSection.style.display = 'none';
+      toggleIcon.innerHTML = '+';
+    }
+  });
+});
+</script>
+
+<style>
+.category-toggle {
+  cursor: pointer;
+}
+
+.publications-section {
+  display: none;
+  margin-bottom: 20px;
+}
+
+.toggle-icon {
+  margin-left: 5px;
+}
+</style>

_portfolio/cuco_db.md

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+---
+title: "CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states"
+excerpt: "Our dataset includes 3,800 audio files, averaging 35.51 ± 5.91 recordings per patient, covering surgeries like Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty."
+collection: portfolio
+category: "Datasets"
+---
+
+## CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states
+We have developed a comprehensive voice and speech corpus featuring 107 Spanish Castilian speakers, including both control participants and patients who underwent upper airway surgeries such as Tonsillectomy, Functional Endoscopic Sinus Surgery, and Septoplasty.
+
+Our dataset contains 3,800 audio files, averaging 35.51 ± 5.91 recordings per patient. This resource is designed to facilitate systematic investigations into the effects of upper respiratory tract surgery on voice and speech. Previous studies using this corpus have demonstrated no significant changes in key acoustic parameters for sustained vowel phonation, aligning with our initial hypotheses. However, further research into speech recordings, particularly nasalised segments, is encouraged.
+
+Additionally, this dataset is instrumental in exploring the impact of upper airway surgery on speaker recognition and identification methods, as well as in testing anti-spoofing methodologies to enhance robustness.
+
+🔗 Read our paper: [Scientific Data - Paper Link](https://www.nature.com/articles/s41597-024-03540-5#citeas)
+📂 Access the dataset: [Zenodo Dataset](https://zenodo.org/records/11654546)
+💻 Github Repository: [CUCO Database on Github](https://github.com/BYO-UPM/CUCO_Database)

_portfolio/eod-connector.md

@@ -2,6 +2,7 @@
 title: "Matlab library: EODConnector"
 excerpt: "A library to retrieve any stock market data from [EOD Historical Data](https://eodhistoricaldata.com) market datafeed API."
 collection: portfolio
+category: "Software"
 ---
 
 ## EODConnector

_portfolio/favae.md

@@ -2,6 +2,7 @@
 title: "Paper python code: Factor Analysis Variational AutoEncoder"
 excerpt: "Python code to [Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space](https://arxiv.org/abs/2207.09185) paper."
 collection: portfolio
+category: "Software"
 ---
 
 ## Factor Analysis Variational AutoEncoder

_portfolio/gpu_mon.md

@@ -2,6 +2,7 @@
 title: "GPU monitoring"
 excerpt: "Bash simple script to monitorize the use of GPU by the colleagues of the department"
 collection: portfolio
+category: "Software"
 ---
 
 ## GPU monitoring

_portfolio/ksshiba.md

@@ -2,6 +2,7 @@
 title: "Paper python code: Bayesian Sparse Factor Analysis with Kernelized Observations"
 excerpt: "Python code to [Bayesian Sparse Factor Analysis with Kernelized Observations](https://doi.org/10.1016/j.neucom.2022.03.024) paper."
 collection: portfolio
+category: "Software"
 ---
 
 ## Bayesian Sparse Factor Analysis with Kernelized Observations

_portfolio/manually_transcriptions.md

@@ -2,6 +2,7 @@
 title: "Manual Transcription Editor"
 excerpt: "I have developed a powerful and user-friendly tool designed to manually correct automatic transcriptions of audio files. This tool is particularly useful for refining transcriptions made by Whisper, ensuring high accuracy and quality."
 collection: portfolio
+category: "Software"
 ---
 
 # 🛠️ Manual Transcription Editor

_portfolio/ppms_xai.md

@@ -2,6 +2,7 @@
 title: "Paper python code: Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability"
 excerpt: "Python code to [Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability](http://dx.doi.org/10.2139/ssrn.4514512) paper."
 collection: portfolio
+category: "Software"
 ---
 
 ## Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability

_portfolio/pvpc.md

@@ -2,6 +2,7 @@
 title: "Python script: PVPC reader"
 excerpt: "An unfinished project of reading public spanish electrical prices and do some ML"
 collection: portfolio
+category: "Software"
 ---
 
 ## PVPC reader

_portfolio/snntorch_intro.md

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+---
+title: "Introduction to SNN: from theory to Pytorch"
+excerpt: "Slides of the BioInspired Learning course at MUIT UPM"
+collection: portfolio
+category: "Teaching"
+---
+
+## Introduction to SNN: from theory to Pytorch
+Slides of the introduction to SNNs given at the Master program MUIT at the UPM 2023/2024.
+
+[Introduction to SNN: from theory to Pytorch](https://aguerrerolopez.github.io/portfolio/teaching/bio-inspired-learning/snntorch_intro.ipynb)

_portfolio/sshiba-maldi.md

@@ -2,6 +2,7 @@
 title: "Paper python code: Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra"
 excerpt: "KSSHIBA model tailored for the MALDI-TOF data to predict simultanously from which hospital is the data coming from and the resistance mechanism of every bacteria to ESBL or CP."
 collection: portfolio
+category: "Software"
 ---
 
 ## KSSHIBA tailored for MALDI-TOF data

_portfolio/trains_cnn.md

@@ -2,6 +2,7 @@
 title: "Paper python code: Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks"
 excerpt: "Python code to [Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks](https://ui.adsabs.harvard.edu/abs/2022arXiv221109011L/abstract) paper."
 collection: portfolio
+category: "Software"
 ---
 
 ## Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks