Good report examples - HALL of FAME

Ragnhild Karlsson och Mikael ErikssonPeter Finmann, Max Winberg (20146) Brain Pattern Recognition: An evaluation of how the choice of training data affect classification accuracy for inexperienced BCI-users.¶ Hjalmar Laestander och Mattias HarrysDeep reinforcement learning compared with Q-table learning applied.¶

Jonas Dahl and Rasmus Fredrikson (20146) Solving Sudoku efficiently with Dancing LinksA comparative study between a simulated annealing and a gene.

MVichael Håkansson och Hampus Liljekvisttor Ähdel and Alex Sundström (20146) Pseudoslumptalsgenerering: En studie av pseudoslumpsalgoritmer i allmänhet med fokus på C++11-biblioteket Random samt implementation av en modifierad XORShift.¶ Erik Norell och David ChavezIs GPGPU CCL worth it? A performance comparison some GPUand CPU algorithms for solving connected components labeling on binary images some.¶

Sandra Bäckström and Johan Fredin Haslun (20146) Simulating the evolution of silverfish Evolution modelled as an evolutionary algorithmDetecting Trends on Twitter The Effect of Unsupervised Pre-Training.

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

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

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

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

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

Ragnhild Karlsson och Mikael Eriksson (2014) Brain Pattern Recognition: An evaluation of how the choice of training data affect classification accuracy for inexperienced BCI-users.¶

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

Michael Håkansson och 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 och David Chavez (2014) Simulating the evolution of silverfish Evolution modelled as an evolutionary algorithm.¶