Merve Ekin

My first first-author article is published!!! 👀 🚀 To share and read, click on the link: sciencedirect.com/science/articl…

A great time at @ETRA_conference in Tokyo!🗼 I was so excited to present my paper. Here you can check the details: dl.acm.org/doi/10.1145/37… #EyeTracking #CognitiveLoad

🇹🇷 #BREAKING | Pikachu was spotted fleeing from the police during anti-Erdoğan protests in Turkey.

Today, Türkiye woke up to a profound betrayal.  The ongoing judicial process is far from being fair - it is an execution without trial. I invite our nation to fight for their rights. This fight is crucial for the future of our nation and our children.  For the future of Türkiye, make sure to cast your vote today. Then join us in Istanbul’s Saraçhane and in the squares of democracy all across Türkiye to make your voice heard. Today is the day to claim responsibility and stand up for justice against those who usurp the will of the people. All together, leaving no one behind.

Publication Alert! 🚀 The first paper of my doctoral project has been published in Scientific Reports!! The paper investigates cognitive load types using a predictive machine learning model via psychophysiological metrics. To read: nature.com/articles/s4159…

academics rn

Two women were brutally murdered in Turkey today. Turkish women are not safe even when they're just walking in the streets. We need help to make our voices heard!!!! #turkishwomenareindanger

Psikoloji, tıp ve sinirbilim alanlarına kaynak niteliğinde olan “An Introduction to Brain and Behavior” kitabını Türkçeye kazandırmış olduğumuzu mutlulukla duyurmaktayız. Çeviri editörü Doç. Dr. Hatice Kafadar’a ve çeviri kuruluna emekleri için çok teşekkür ederiz.

A big thank you to the whole #ESSEM2024 team for this summer school! @essem_info We had a great time in Athens. It was great to meet colleagues and present my work! @MSCActions

Thank you to all who attended our symposium at the 22nd European Conference on Eye Movement! 👁️👁️ It was a pleasure to be at #ECEM24 as EYES4ICU team!

Vacation Relaxation?

I am thrilled to share that our recent research, "Visual search for real-world scenes in patients with Alzheimer's disease and amnestic mild cognitive impairment," has been published in the Brain and Behavior! 🎉 onlinelibrary.wiley.com/doi/full/10.10…

iOS 18 will introduce Eye Tracking, which allows users to control their iPhone and iPad with their eyes.

CLARE: Cognitive Load Assessment in REaltime with Multimodal Data. arxiv.org/abs/2404.17098

The host of Winter School 2 of #EYES4ICU was SWPS in Warsaw!! 👀🫶🏻🚀 @MSCActions #MarieSklodowskaCurie

“Antisaccade error rate and psychotic disorders” I am happy to share our recent publication, and inviting to read/share it 🚀 @SchizRes sciencedirect.com/science/articl…

After seven (7!) years of work with >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions: github-pages.ucl.ac.uk/NextBrain Preprint, data, code, videos, and much more in this 🧵(1/5)

R ggplot2 color palettes inspired by Hayao Miyazaki’s animes by Joanna link.medium.com/YgRnpZ6SqGb #rstats #dataviz #ggplot2 #dataanalytics #datascience

What happens when eye tracking meets AI (LMMs)? to Check out our demo of Neon + @OpenAI‘s GPT-4V in an assistive tech context. Sound on 🔉 🙆

NASA and IBM have created a foundation model for geospatial data. It can remove clouds, detect crops, and identify floods. Plus it's free. Here's what you need to know about it:

Logistic Regression is the most important foundational algorithm in Classification Modeling. In 2 minutes, I'll teach you what took me 2 months to learn. Let's dive in: 1. Logistic regression is a statistical method used for analyzing a dataset in which there are one or more independent variables that determine a binary outcome (in which there are only two possible outcomes). This is commonly called a binary classification problem. 2. The Logit (Log-Odds): The formula estimates the log-odds or logit. The right-hand side is the same as the form for linear regression. But the left-hand side is the logit function, which is the natural log of the odds ratio. The logit function is what distinguishes logistic regression from other types of regression. 3. The S-Curve: Logistic regression uses a sigmoid (or logistic) function to model the data. This function maps any real-valued number into a value between 0 and 1, making it suitable for a probability estimation. This is where the S-curve shape comes in. 4. Why not Linear Regression? The shape of the S-curve often fits the binary outcome better than a linear regression. Linear regression assumes the relationship is linear, which often does not hold for binary outcomes, where the relationship between the independent variables and the probability of the outcome is typically not linear but sigmoidal (S-shaped). 5. Coefficient Estimation: Like linear regression, logistic regression calculates coefficients for each independent variable. However, these coefficients are in the log-odds scale. 6. Coefficient Interpretation (Log-Odds to Odds): Exponentiating a coefficient converts it from log odds to odds. For example, if a coefficient is 0.5, the odds ratio is exp(0.5), which is approximately 1.65. This means that with a one-unit increase in the predictor, the odds of the outcome increase by a factor of 1.65. 7. Model evaluation: The evaluation metrics for linear regression (like R-squared) are not suitable for assessing the performance of a model in a classification context. For Logistic regression, I normally use classification-specific evaluation metrics like AUC, precision, recall, F1 score, ROC curve, etc. === Ready to learn Data Science for Business? I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: learn.business-science.io/free-rtrack-ma… And if you'd like to speed it up, I have a live workshop next week where I'll share how to use ChatGPT for Data Science: learn.business-science.io/registration-c…