Department of Statistics
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- 2024
-
Mark
Show Me the Women: A Double Machine Learning approach to unravel the Bechdel test’s impact on box office performance
(
- Master (One yr)
- 2023
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
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Mark
Hållbarhetsbetyget ESG - är spelreglerna desamma för alla?
(
- Bach. Degree
-
Mark
Using LSTM for predictions of the regulating direction on the Swedish electricity intraday market
(
- Master (One yr)
-
Mark
Harnessing AI for Suicidal Ideation Detection: Thoroughly Evaluating and Fine-Tuning Transformer Models to Identify Suicidal Ideation in Social Media Posts
(
- Master (One yr)
-
Mark
Complex Document Labelling: An appraisal on the efficacy of supervised and unsupervised methods for automated organization and information retrieval
(
- Master (One yr)
-
Mark
Classifying Google reCAPTCHA v2 - A study using transfer learning models and evaluating their robustness against adversarial perturbations
(
- Master (One yr)
-
Mark
Predicting Tennis Match Results Using Classification Methods
(
- Master (One yr)
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Mark
A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
(
- Master (One yr)
-
Mark
Evaluating the Effect of Meta-Labeling on Equity Market Neutral Strategy
(
- Bach. Degree