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Hi, I'm Miquel! (though some people recognise me as Tintin) I strive to bridge the gap between theoretical machine learning and real-world applications.

I'm a data scientist currently studying a Master of Science in Machine Learning, Data Science and Artificial Intelligence at Aalto University. Prior to that, I completed my Bachelor's thesis, working in the generation of datasets for training positron emission tomography image reconstruction methods at the Department of Applied Mathematics at the Universitat Politècnica de València under the supervision of Samuel Morillas.

Related to my current research interests, I like to discuss possible future directions on the Large Language Models field, with a special focus in multimodality and in context learning, in the Artificial Intelligence and Language group.

I'm currently working as a Research Assistant at the Department of Marketing (School of Business) at Aalto University, studying the value that consumers attribute to artworks created with the assistance of generative AI in art auction sites.

As a child I started in the practice of judo and swimming. Nowadays, I enjoy going to the gym, watching movies, reading and travelling.

I thank you for having made it this far. You can reach me at [email protected].

Miquel Marin's Projects

detoxis_2021 icon detoxis_2021

All our code for the DEtection of TOXicity in comments In Spanish (DETOXIS) at IberLEF 2021.

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

project2021 icon project2021

Project from Project III subject from third year of Data Science Degree.

proyecto2020 icon proyecto2020

Proyecto de Integración de datos realizado para la asignatura de Proyecto II

sentimentanalysis icon sentimentanalysis

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

stop-words icon stop-words

List of common stop words in various languages.

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