Buscar
Mostrando ítems 1-10 de 71
Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI
(2021-01-01)
Multiple Sclerosis (MS) is a chronic and inflammatory disorder that causes degeneration of axons in brain white matter and spinal cord. Magnetic Resonance Imaging (MRI) is extensively used to identify MS lesions and evaluate ...
Proposta de readequação ambiental da área externa do núcleo morumbi FCT/UNESP
(Universidade Estadual Paulista (Unesp), 2015-09-11)
This paper presents a proposal for environmental redevelopment of the external area of FCT/UNESP campus. The study was requested by CLAE - Local Centre for Extension Support, FCT/UNESP, linked to the Pro Dean of UNESP ...
Conceptual model for adaptable and extensible visual data exploration
(2004-12-01)
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
Developing Self-Adaptive Service-Oriented Mobile Applications: A Framework Based on Dynamic Deployment
(2018-11-01)
Today's society is increasingly dependent on the use of mobile or smart devices (e.g. smartphones, tablets, hybrid devices, smart-TVs, smart-watches, among others), which have changed over these last 10 years the way people ...
Atletismo para pessoas com deficiência, da iniciação ao alto rendimento e suas principais conquistas
(Universidade Estadual Paulista (Unesp), 2015-09-21)
The extension project “Athletics for people with disabilities: from initiation to high performance”, is characterized by providing people with disabilities with a chance to initiate adapted athletics, so the individual can ...
Development And Experimental Testing Of Two Adaptive Control Strategies For Batch Distillation
(IChemE, Rugby, United Kingdom, 1997)
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
(2021-01-01)
Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with partially or no labeled data, DL methods are ...