Essays about: "Domain Transfer"
Showing result 1 - 5 of 155 essays containing the words Domain Transfer.
-
1. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. READ MORE
-
2. Ultrasound neural style transfer using domain specific features
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Ultrasound imaging is a widely used fast, low-cost, and non-invasive modality for monitoringfetal development during pregnancy and identifying potential problems or other injuries.However, interpreting the images may be difficult due to the noisy appearance and requiresextensive training of sonographers. READ MORE
-
3. Effects of phosphorylation on the ADP-ribosylation activity of PARP16
University essay from Lunds universitet/Kemiska institutionenAbstract : PARP16/ARTD15 is an intracellular mono-ADP-ribosyltransferase that catalyzes auto- and heteromodification by transfer of a single ADP-ribose moiety. It belongs to the ADP-ribosyltransferase (ART) superfamily. READ MORE
-
4. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. READ MORE
-
5. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE