Sökning: "Simple Perceptron"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Simple Perceptron.

1. 1. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Elsa Jonsson; [2022]
   Nyckelord :AI; machine learning; digital pathology data; binary tumour classification;

   Sammanfattning : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. LÄS MER

3. 2. Advanced Side-Channel Analysis of USIMs, Bluetooth SoCs and MCUs

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Martin Brisfors; [2021]
   Nyckelord :Side Channel Attack; Deep Learning; AES; USIM; Milenage; Screaming Channels; Transformer; Security; Sidokanalsattack; Djupinlärning; AES; USIM; Milenage; Screaming Channels; Transformer; Säkerhet;

   Sammanfattning : The use of deep learning for side channel analysis has shown a lot of success in recent years. Impressive results have been presented by many researchers. However, critics of this approach have voiced concerns about the ad hoc methodologies and bespoke neural network designs used in many presented approaches. LÄS MER

4. 3. Evaluating deep learning models for electricity spot price forecasting

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mia Zdybek; [2021]
   Nyckelord :Time series forecasting; Electricity price forecasting; Machine Learning; Deep learning; Multi-layer perceptron; Long short-term memory; Convolutional neural network; Tidsserieprediktion; Prognostisering av elspotpriser; Maskininlärning; Djupinlärning; Flerskikts-perceptron; Lågt korttidsminne; Neurala faltningsnät;

   Sammanfattning : Electricity spot prices are difficult to predict since they depend on different unstable and erratic parameters, and also due to the fact that electricity is a commodity that cannot be stored efficiently. This results in a volatile, highly fluctuating behavior of the prices, with many peaks. LÄS MER

5. 4. On the Effectiveness of Handcrafted and Learned Features in Automated Essay Scoring

   Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Edvin Jakobsson; [2019]
   Nyckelord :Natural Language Processing Machine Learning Automated Essay Scoring; Technology and Engineering;

   Sammanfattning : The task of Automated Essay Scoring (AES) has been active for more than half a century, starting with handcrafting statistical features used for linear regression, and currently being improved by the latest advancements in machine learning and natural language processing. Most current research uses some form of character or word embeddings to represent the essays rather than statistical features, enabling the models to analyze the text in full and automatically learn what to look for. LÄS MER

7. 5. Deep Learning techniques for classification of data with missing values

   Magister-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Leo Zethraeus; [2019]
   Nyckelord :Deep Learning; VAE; Variational Autoencoder; Missing Data; Artificial Neural Networks; CNN; Multiple Imputation; Physics and Astronomy;

   Sammanfattning : Two deep learning techniques for classification on corrupt data are investigated and compared by performance. A simple imputation before classification is compared to imputation using a Variational Autoencoder (VAE). LÄS MER