Deep Learning Research Group - Working on Foundational and Applied Machine Learning for the Earth

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Research group

Olof Mogren Aleksis Pirinen, PhD John Martinsson Edvin Listo Zec Martin Willbo

I have the honour to work with the following collection of brilliant people in my research group.

For more information, please visit the group's official web page: Deep Learning Research Group - Working on Foundational and Applied Machine Learning for the Earth.

Aleksis Pirinen, PhD
John Martinsson, PhD candidate
Edvin Listo Zec, PhD candidate
Martin Willbo, MSc

Previous members of the group.

Ebba Ekblom, MSc

Are you looking to write a master thesis related to machine learning? Several different projects related to machine learning awaits skilled students.

The following master's theses were written under my supervision.

Graph neural networks for physics simulations

Edvin Lam

2021

Graph neural networks for physics simulations: Graph neural networks for physics simulations

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Text sumarization using transfer learning

Victor Risne, Adele Siitova

2019

Text sumarization using transfer learning: Text summarization using transfer learning: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data. In collaboration with Spotify.

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Question Answering In Conversational Context

Soumyadeep Mondal, Vishnu Raveendra Nadhan

2019

Question Answering In Conversational Context: Question Answering In Conversational Context, Using FlowQA and BERT for modelling conversations in QuAC.

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Deep learning for fashion analysis

Marie Korneliusson

2019

Deep learning for fashion analysis: Generative adversarial networks modelling joint distribution over images and segmentation masks. Applied to fashion data.

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Blood Glucose Prediction for Type 1 Diabetes using Machine Learning

Christian Meijner, Simon Persson

2017

Blood Glucose Prediction for Type 1 Diabetes using Machine Learning: Long Short-term Memory based models for blood glucose prediction with confidence level outputs.

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CARAI - Development of an intelligent personal assistant for cars

Johan Ekdahl and William Axhav Bratt

2016

CARAI - Development of an intelligent personal assistant for cars:

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Automatic discussion forum assistant using recurrent neural networks

Jacob Hagstedt P Suorra

2016

Automatic discussion forum assistant using recurrent neural networks: Appeared as a paper in representation learning for NLP, RepL4NLP, at ACL 2016.

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Entity recognition in swedish medical documents

Sean Pavlov and Simon Almgren

2016

Entity recognition in swedish medical documents: Appeared as a paper in the fifth workshop on building and evaluating resources for biomedical text mining (BioTxtM 2016), at COLING 2016.

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Using Classification Algorithms for Smart Suggestions in Accounting Systems

Hampus Bengtsson and Johannes Jansson

2015

Using Classification Algorithms for Smart Suggestions in Accounting Systems:

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Constructing a Context-aware Recommender System with Web Sessions

Yanling Jin and Albin Bramstång

2015

Constructing a Context-aware Recommender System with Web Sessions:

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Olof Mogren, PhD.