Essays about: "labelling"

Showing result 1 - 5 of 272 essays containing the word labelling.

1. 1. Automatic Semantic Role Labelling (SRL) in Swedish

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Lucy Yang Buhr; [2023-10-05]
   Keywords : Semantic role labelling; SRL; transfer learning; multi-task learning; multilingual transfer; T5; mT5;

   Abstract : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. READ MORE

3. 2. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

   University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Author : Marko Plavetic; [2023-06-26]
   Keywords : benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

   Abstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE

4. 3. 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

5. 4. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

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

   Author : August Söderlund; [2023]
   Keywords : Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

   Abstract : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. READ MORE

6. 5. 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