Belén Vega

💻PhD | Lecturer and researcher at @etsii (@unisevilla) - Data Science | Artificial Intelligence | Machine Learning. I love things with wheels 🏎️ 🏍️

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models

🚀 Léelo aquí: https://t.co/NsHLE9gk4s

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models

🚀 Léelo aquí: https://t.co/lEl4xlqBdx

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study

🚀 Léelo aquí: https://t.co/cQWDODNK9E

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 Guidelines to build PLS-DA chemometric classification models using a GC-IMS method: dry-cured ham as a case of study

🚀 Léelo aquí: https://t.co/TA45gLVtwa

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 Generation of synthetic data with conditional generative adversarial networks

🚀 Léelo aquí: https://t.co/2eabemqDKv

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 OCEAn: ordinal classification with an ensemble approach

🚀 Léelo aquí: https://t.co/wgic0xOIrP

[Belén Vega @belvegmar]

🎉 ¡Artículo publicado! 🎉

📰 Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market

🚀 Léelo aquí: https://t.co/sHc1EcBXoB

[Belén Vega @belvegmar]

🎉 Artículo publicado 🎉

📰 Deep Learning Techniques to Improve the Performance of Olive Oil Classification

💡 Aplicamos técnicas de deep learning para mejorar la clasificación del aceite de oliva, optimizando su calidad y autenticidad.

🚀 Léelo aquí:
https://t.co/EyJbX5EV3w

[Belén Vega @belvegmar]

🎉 Artículo publicado 🎉

📰 Using Prior Knowledge in the Inference of Gene Association Networks

💡 Integramos conocimiento previo para mejorar la inferencia de redes génicas, logrando modelos más simples y precisos.

🚀 Léelo aquí: https://t.co/D481WQ0u2i

[Belén Vega @belvegmar]

perdonad el SPAM de artículos que viene, sexenios is coming

[Neil Renic @NC_Renic]

if academics are so smart why can't they connect to eduroam?

[Belén Vega @belvegmar]

Este domingo estaré en el DevFest Sevilla hablando un poco sobre los nuevos retos que nos trae la IA.

Os espero!!

[GDG Sevilla @GDGSevilla]

🚀 ¡Entradas ya disponibles para DevFest Sevilla 2024! 🎉

📅 Fecha: 24 de noviembre de 2024
📍 Lugar: Metropol Eventos Las Setas

Charlas inspiradoras y grandes oportunidades de networking. ¡No te lo pierdas!

#DevFestSevilla #Tecnología #Innovación #Networking

[GDG Sevilla @GDGSevilla]

🚀 ¡Entradas ya disponibles para DevFest Sevilla 2024! 🎉

📅 Fecha: 24 de noviembre de 2024
📍 Lugar: Metropol Eventos Las Setas

Charlas inspiradoras y grandes oportunidades de networking. ¡No te lo pierdas!

#DevFestSevilla #Tecnología #Innovaci��n #Networking

[Juanjo Giner @jj_giner]

Con la Ciencia me pasa como con Julio Anguita. Todo el mundo lo alaba, reconoce su valía, y felicita.

Pero no mueve voto ni decide gobiernos. Y ahí está el tema.

[Publishing with Integrity @fake_journals]

Who reviewed this paper?

A few days ago @gcabanac tweeted about a paper that had published a remark that it had been forced to cite irrelevant papers. You can see the tweet here: https://t.co/FpSr5QLPfW. We remarked that if it was not so serious, it would be funny.

Since reading that tweet, we have not been able to get it out of our head, so we thught that we would document it in a little more detail. We are doing this for three reasons.

1️⃣ In our view, it descerves more detail to be made available.

2️⃣ We'd like these details to be be kept as a matter of public record, so we are posting similar posts on our X account and our LinkedIn account.

3️⃣ It should be of interest to this community, so we hope that this raises even further the ethical issues around this topic.

The first image shows the paper that we are looking at. What is interesting is the text that appears on at the end of the introduction (highlighted in red). This appears to show that the reviewer insisted that a set of 13 papers be cited, else they would not accept the paper. It would be interesting to see the review repport, so that we could be certain what had been said. If you want to see the paper, it is available here: https://t.co/mlv5UDdp5T

In the rest of this 🧵, we show the papers that have been asked to be cited (i.e. [35]-[47]). These have been taken from the paper mentioned above. You'll notice (as we have highlighted it) that every paper is "et al." meaning, of course, that there are quite a few authors on each paper.

Gicven that we cannot see all the authors, the other images on this 🧵 shows the full set of authors on each of these 13 papers.

We leave it an an exercise for the reader to hazard a guess as to the reviewr is?

[Asad Naveed @dr_asadnaveed]

Are you a quantitative researcher?

Save this flow chart to quickly select commonly used statistical tests: ⬇️

[Hadas Weiss @weiss_hadas]

taking my rejected manuscript to a different journal

[Daily Dose of Data Science @DailyDoseOfDS_]

10 great Python packages for Data Science not known to many:

[David Benavides @davbencue]

La nota de la primera adjudicación en las carreras de ingeniería informática de la @etsii

La máxima un 13,615 (Doble claro con matemáticas)

Bienvenidos/as alumnas y alumnos a nuestras carreras.

[Belén Vega @belvegmar]

Mira @javsolgar lo que tú hiciste a mano con los de difusión ya se hace de forma automática 😉

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

Google Scholar and PubMed show you research papers. But they don't show how papers are connected.

Here's how to supercharge your literature review with "visual search," which shows connections between papers:

(And how to export papers to Zotero, Mendeley, and EndNote.)