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2021
A Survey of ExistingReinforcement Learning Methods: Master Thesis Preliminary Research
Nichlas Ørts Lisby, Thomas Højriis Knudsen, Tobias Lambek Jacobsen, Nicolaj Casanova Abildgaard
Software, Kandidat, (Kandidatuddannelse) 3. semester, 2021
Studenteropgave: Master afgangsprojekt
Explaining Predictive Uncertainty in Bayesian Neural Networks with Layer-Wise Relevance Propagation
Lasse Østergaard, Mads Nørgaard Stenkær, Casper Krogh Frydkjær
Software, Kandidat, (Kandidatuddannelse) 4. semester, 2021
Studenteropgave: Speciale (inkl. HD afgangsprojekt)
Forecasting depth of anesthesia in laboratory pigs using mixed-data neural network
Tobias Brinkmann Duncker
Sundhedsteknologi, Kandidat, (Kandidatuddannelse) 4. semester , 2021
Studenteropgave: Master afgangsprojekt
Forecasting of Danish stocks prices using artificial neural networks: A study comparing forecasts from artificial neural networks with forecasts from autoregressive moving average models.
Andreas Borup Jørgensen, Mette Koch Møller, Robert Høstrup
Samfundsøkonomi (cand.oecon), Kandidat, (Kandidatuddannelse) 4. semester, 2021
Studenteropgave: Speciale (inkl. HD afgangsprojekt)
Improving Global Localization Algorithms for Mars Rovers with Neural Networks
Iñigo Moreno I Caireta
Robotteknologi, Kandidat, (Kandidatuddannelse) 4. semester, 2021
Studenteropgave: Master afgangsprojekt
Improving Neural Networks for Predicting Sepsis from Imbalanced, Multivariate Time Series Data with High Missing Rates
Martin Simonsen, Mathias Højer Svendsen, Simon Dam Nielsen
Software, Kandidat, (Kandidatuddannelse) 4. semester, 2021
Studenteropgave: Master afgangsprojekt
Machine Learning for Automatic Detection of Historic Stone Walls Using LiDAR Data
Ana Cristina Mosebo Fernandes, Ezra Francis Leslie Trotter
Landinspektørvidenskab (cand.scient.techn.), Kandidat, (Kandidatuddannelse) 4. semester, 2021
Studenteropgave: Speciale (inkl. HD afgangsprojekt)
Recurrent Recognition Networks for Approximation of BN2O Inference Dedicated to the Medical IntMed System
Jonas Tvede Henriksen
Computer Science (IT - International Track), (Kandidatuddannelse) 4. semester, 2021
Studenteropgave: Speciale (inkl. HD afgangsprojekt)
2020
A hybrid approach to structural modeling of individualized HRTFs: Generating and combining pinna responses, head-and-torso filtering, and interaural time difference data
Riccardo Miccini
Lyd og Musik, Kandidat, (Kandidatuddannelse) 4. semester, 2020
Studenteropgave: Speciale (inkl. HD afgangsprojekt)
Analysis of the welding process sound using Convolutional Neural Networks for penetration state recognition
Stanislaw Zelazny, Maciej Karol Kolek
Virksomhedsteknologi, Kandidat, (Kandidatuddannelse) 4. semester, 2020
Studenteropgave: Speciale (inkl. HD afgangsprojekt)

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Søg efter studenterprojekter

A Survey of ExistingReinforcement Learning Methods: Master Thesis Preliminary Research

Explaining Predictive Uncertainty in Bayesian Neural Networks with Layer-Wise Relevance Propagation

Forecasting depth of anesthesia in laboratory pigs using mixed-data neural network

Forecasting of Danish stocks prices using artificial neural networks: A study comparing forecasts from artificial neural networks with forecasts from autoregressive moving average models.

Improving Global Localization Algorithms for Mars Rovers with Neural Networks

Improving Neural Networks for Predicting Sepsis from Imbalanced, Multivariate Time Series Data with High Missing Rates

Machine Learning for Automatic Detection of Historic Stone Walls Using LiDAR Data

Recurrent Recognition Networks for Approximation of BN2O Inference Dedicated to the Medical IntMed System

A hybrid approach to structural modeling of individualized HRTFs: Generating and combining pinna responses, head-and-torso filtering, and interaural time difference data

Analysis of the welding process sound using Convolutional Neural Networks for penetration state recognition

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