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Good report examples - The Hall of Fame

Felix Liljefors and Niclas Hedberg (2018) Formalizing security properties in blockchain protocols.

Lisa Li and Jakob Vyth (2018) Effects of Different Worker Heuristics in Marriage in Honey Bees Optimization: As Applied to the Graph Coloring Problem.

Niklas Linqvist and Thony Price (2018) Evaluation of Feature Selection Methods for Machine Learning Classification of Breast Cancer.

Sara Engelardt and Emmeli Hansson (2017) A comparison of three robot recovery strategies to minimize the negative impact of failure in social HRI.

Ibrahim Asfadi and Fredrik Storgaard Flovén (2017) A comparative study on credibility judgement of news related tweets between academic and non-academic young adults.

Lukas Szerszen and Paul-Philip Mosulet (2017) Subject-Independent Epileptic Seizure Prediction using Spectral Power and Correlation Coefficients. 

Michelle Jagellid and Maria Movin (2017) A Comparison of Resampling Techniques to Handle the Class Imbalance Problem in Machine Learning Conversion Prediction of Spotify Users - A Case Study. 

Jonas Johansson and Kenneth Runnman (2017) A sentiment analysis approach to manage the new item problem of Slope One. 

Anna-Karin Evert and Alfrida Mattisson (2016) Rekommendationssystem med begränsad data.

Peter Finmann and Max Winberg (2016) Deep reinforcement learning compared with Q-table learning applied.

Jonas Dahl and Rasmus Fredrikson (2016) A comparative study between a simulated annealing and a gene.

Victor Ähdel and Alex Sundström (2016) Is GPGPU CCL worth it? A performance comparison some GPU
and CPU algorithms for solving connected components labeling on binary images some.

Sandra Bäckström and Johan Fredin Haslun (2016) Detecting Trends on Twitter The Effect of Unsupervis.

Anton Jansson and Kristoffer Uggla Lingvall (2015) Elevator Control Using Reinforcement Learning to Select Strategy.

Alam Joy and Jesper Ljungehed (2015) A comparative study of hybrid artificial neural network models for one-day stock price prediction.

Lovisa Runhem and Filip Schulze (2015) Evaluating a fractal features method for automatic detection of Alzheimer’s Disease in brain MRI scans.

Paulina Hensman and David Masko (2015) The Impact of Imbalanced Training Data for Convolutional Neural Networks.

Victor Larsson and Jesper Qvarfordt (2015) Taligenkänning som inmatningsmetod för naturligt språk.

Ragnhild Karlsson and Mikael Eriksson (2014) Brain Pattern Recognition: An evaluation of how the cho

Hjalmar Laestander and Mattias Harrysson (2014) Solving Sudoku efficiently with Dancing Links.

Michael Håkansson and Hampus Liljekvist (2014) Pseudoslumptalsgenerering: En studie av pseudoslumpsalgoritmer i allmänhet med fokus på C++11-biblioteket Random samt implementation av en modifierad XORShift.

Erik Norell and David Chavez (2014) Simulating the evolution of silverfish Evolution modelled as an evolutionary algorithm.