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Showing result 1 - 5 of 18 essays matching the above criteria.

1. 1. Minimizing the expected opportunity loss by optimizing the ordering of shipping methods in e-Commerce using Machine Learning

   University essay from KTH/Matematik (Avd.)

   Author : Jonatan Ay; Jamil Azrak; [2022]
   Keywords : statistics; machine learning; applied mathematics; e-commerce; statistik; maskininlärning; tillämpad matematisk statistik; e-handel;

   Abstract : The shopping industry is rapidly changing as the technology is advancing. This is especially true for the online industry where consumers are nowadays able to to shop much of what the need over the internet. READ MORE

3. 2. Diffusion Models for Video Prediction and Infilling : Training a conditional video diffusion model for arbitrary video completion tasks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tobias Höppe; [2022]
   Keywords : Diffusion; Video prediction and infilling; Conditional generation; Diffusion; Videoförutsägelse och ifyllnad; Villkorad generation;

   Abstract : To predict and anticipate future outcomes or reason about missing information in a sequence is a key ability for agents to be able to make intelligent decisions. This requires strong temporally coherent generative capabilities. READ MORE

4. 3. Combining Register Data and X-Ray Images for a Precision Medicine Prediction Model of Thigh Bone Fractures

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Alva Nilsson; Oliver Andlid; [2022]
   Keywords : AI; Machine Learning; Fusion; Classification; X-Ray Images; Register Data; EHR; Femoral Fractures; AFF; NFF; Transfer Learning;

   Abstract : The purpose of this master thesis was to investigate if using both X-ray images and patient's register data could increase the performance of a neural network in discrimination of two types of fractures in the thigh bone, called atypical femoral fractures (AFF) and normal femoral fractures (NFF). We also examined and evaluated how the fusion of the two data types could be done and how different types of fusion affect the performance. READ MORE

5. 4. An Analysis of Context Channel Integration Strategies for Deep Learning-Based Medical Image Segmentation

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Joakim Stoor; [2020]
   Keywords : image segmentation; medical image analysis;

   Abstract : This master thesis investigates different approaches for integrating prior information into a neural network for segmentation of medical images. In the study, liver and liver tumor segmentation is performed in a cascading fashion. READ MORE

6. 5. Text and Speech Alignment Methods for Speech Translation Corpora Creation : Augmenting English LibriVox Recordings with Italian Textual Translations

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Giuseppe Della Corte; [2020]
   Keywords : speech translation; parallel corpora; bilingual sentence alignment; sentence embeddings; cosine similarity; forced alignment; text collection; corpora creation; audio signal processing;

   Abstract : The recent uprise of end-to-end speech translation models requires a new generation of parallel corpora, composed of a large amount of source language speech utterances aligned with their target language textual translations. We hereby show a pipeline and a set of methods to collect hundreds of hours of English audio-book recordings and align them with their Italian textual translations, using exclusively public domain resources gathered semi-automatically from the web. READ MORE