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On imbalanced classification of benthic macroinvertebrates: Metrics and loss-functions
(2020)
Kandidaatintyö
Kandidaatintyö
Aquatic biomonitoring is an integral part of assessing the state and quality of freshwater systems. An important part of biomonitoring is the identification and classification of benthic macroinvertebrates, a species group ...
Neural networks in household investor behavior prediction
(2020)
Kandidaatintyö
Kandidaatintyö
Machine learning (ML) has been widely applied to various fields and areas, including the financial market. In this study, the behavior of active Finnish household investors is being predicted using three different neural ...
Forecasting emergency department arrivals with neural networks
(2020)
Kandidaatintyö
Kandidaatintyö
Emergency departments often suffer from chronic overloading as well as seasonal spikes in number of arrivals. In this study three different Deep learning based models are used to try to predict the next days arrivals to ...
Acoustic Scene Classification With L3 Embeddings: Transfer learning experiment
(2020)
Kandidaatintyö
Kandidaatintyö
Countless audio data are recorded on a daily basis in different environments. Being able to recognize the context of the audio automatically would be beneficial in many context-aware systems such as hearing aids and ...
Deep Learning For Portfolio Optimization With Delta Controlled
(2022)
Kandidaatintyö
Kandidaatintyö
The cryptocurrency market is considered high-risk compared to traditional investment channels such as stocks or bonds. The whole market trend is primarily affected by only a few top-of-the-market capitalization cryptocurrencies ...
Predicting Hit Song Popularity with Convolutional Neural Networks
(2022)
Kandidaatintyö
Kandidaatintyö
Privacy-Preserving Machine Learning Based on Homomorphic Encryption : Evaluation of Activation Functions in Convolutional Neural Networks
(2022)
Kandidaatintyö
Kandidaatintyö
With an increased popularity of Machine Learning (ML) and Deep Learning (DL) companies have started to offer Machine Learning as a Service (MLaaS). These services are under threat due to vulnerabilities in privacy that ...
Differentiable Camera Model for Learning-Based Optimizations
(2021)
Kandidaatintyö
Kandidaatintyö
Intermediate goal generation for off-policy reinforcement learning methods
(2022)
Kandidaatintyö
Kandidaatintyö
Reinforcement learning is a branch of machine learning, which has seen increasing interest in the last few years. Reinforcement learning tries to teach an agent to complete a task in an optimal way. The optimality is defined ...