Essays about: "Annoterad Data"

Showing result 1 - 5 of 45 essays containing the words Annoterad Data.

1. 1. Analyzing the performance of active learning strategies on machine learning problems

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Vendela Werner; [2023]
   Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

   Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE

3. 2. Active learning for text classification in cyber security

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

   Author : Amanda Carp; [2023]
   Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

   Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE

4. 3. The effect of model calibration on noisy label detection

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

   Author : Max Joel Söderberg; [2023]
   Keywords : Area Under the Margin; Calibration; Image classification; Label smoothing; Noisy labels; Overconfidence; Area under marginalen; Kalibrering; Bildklassificering; Etikettutjämning; Brusiga etiketter; Övertro;

   Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE

5. 4. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text

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

   Author : Andreas Ericsson; [2023]
   Keywords : Natural Language Processing; Text Cleaning; Transformers; BERT; Token Classification; Deep Learning; Språkteknologi; Textrensning; Transformers; BERT; Token-klassificering; Djupinlärning;

   Abstract : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. READ MORE

6. 5. Segmentation of x-ray images using deep learning trained on synthetic data

   University essay from KTH/Fysik

   Author : Marcus Larsson; [2023]
   Keywords : Radiography; Deep Learning; Synthetic Data; Segmentation; Röntgen; Djupinlärning; Syntetisk Data; Segmentering;

   Abstract : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. READ MORE