Results 81 to 90 of about 515,082 (194)

Assessing the Effectiveness of Transfer Learning in Chest X-Ray Analysis With the BRAX Dataset

IEEE Access
The integration of machine learning techniques in medicine has significantly enhanced medical diagnostics, making them more efficient, agile, and accurate.
Elton Douglas Silva, Thiago B. Pereira, Carlos Eduardo Brandao, Francisco De Assis Boldt, Thiago M. Paixao   +4 more
doaj   +1 more source

Fine-Tuning DeepForest for Forest Tree Detection in High-Resolution UAV Imagery [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Forest inventories are essential for sustainable forest management and health monitoring. Image-based surveys using unmanned aerial vehicles (UAVs) are increasingly adopted for this purpose.
J.-M. Burmeister, J. Zabbarov, J. Zabbarov, S. Reder, R. Richter, J.-P. Mund, J. Döllner, J. Döllner   +7 more
doaj   +1 more source

Frozen Weights as Prior for Parameter-Efficient Fine-Tuning

IEEE Access
In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach often comes with
Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang   +7 more
doaj   +1 more source

Fine tuning [PDF]

Nature Reviews Genetics, 2002
openaire   +2 more sources

Fine-Tuning and the Scope of Physical Laws

Zygon
Fine-tuning arguments claim that the precise parameter values and initial conditions required for complexity and life are extraordinarily improbable and demand explanation. This article examines whether such probability claims can be grounded in physics.
Chris Smeenk
doaj   +2 more sources

Enhanced Adverse Drug Event Extraction Using Prefix-Based Multi-Prompt Tuning in Transformer Models

JOIV: International Journal on Informatics Visualization
Extracting mentions of adverse drug events and relationships between them is crucial for effective pharmacovigilance and drug safety surveillance. Recently, transformer-based models have significantly improved this task through fine-tuning.
Salisu Modi, Khairul Azhar Kasmiran, Nurfadhlina Mohd Sharef, Mohd Yunus Sharum   +3 more
doaj   +1 more source

Innovative Design of the Carbon-free Car Fine-tuning Mechanism based on the Trajectory Analysis Method

Jixie chuandong, 2015
The carbon- free car is a kind of car with direction control function,the gravitational potential energy drive. In order to solve the manufacturing error,assembly error affect carbon- free car trajectory problem of inaccurate,through the car trajectory ...
Liu Yang, Jiang Jiguang, Xie Chun
doaj  

Efficient Side-Tuning for Remote Sensing: A Low-Memory Fine-Tuning Framework

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fine-tuning pretrained models for remote sensing tasks often demands substantial computational resources. To reduce memory requirements and training costs, this article proposes a low-memory fine-tuning framework, called efficient side-tuning (EST), for ...
Haichen Yu, Wenxin Yin, Hanbo Bi, Chongyang Li, Yingchao Feng, Wenhui Diao, Xian Sun   +6 more
doaj   +1 more source

ROS2 Fine Tuning

ROSCon Vancouver 2017, 2017

openaire   +1 more source

Clinically Oriented Evaluation of Transfer Learning Strategies for Cross-Site Breast Cancer Histopathology Classification

Applied Sciences
Background/Objectives: Breast cancer diagnosis based on histopathological examination remains the most reliable and widely accepted approach in clinical practice, despite being time-consuming and prone to inter-observer variability.
Liana Stanescu, Cosmin Stoica-Spahiu
doaj   +1 more source