Results 81 to 90 of about 10,380,352 (315)
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
A survey on heterogeneous transfer learning
Transfer learning has been demonstrated to be effective for many real-world applications as it exploits knowledge present in labeled training data from a source domain to enhance a model’s performance in a target domain, which has little or no labeled ...
Oscar Day, Taghi M. Khoshgoftaar
doaj +1 more source
The Impact of Culture on Learning Transfer in Burkina Faso and Ghana
Culture is a predominant force in people’s lives that impacts learning and thus culture influences learning transfer. Because working across nations has become the norm and every year billions of dollars are spent on professional learning around the ...
Corinne Brion
doaj +1 more source
Transferable learning on analog hardware
While analog neural network (NN) accelerators promise massive energy and time savings, an important challenge is to make them robust to static fabrication error. Present-day training methods for programmable photonic interferometer circuits, a leading analog NN platform, do not produce networks that perform well in the presence of static hardware ...
Sri Krishna Vadlamani +2 more
openaire +3 more sources
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning
Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting to know generation.
Lakshin Pathak +2 more
semanticscholar +1 more source
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Climate change is threatening the resilience of smallholder agroecosystems in semi‐arid areas. Wetland agroecosystems provide critical life support and positive outcomes for people, nature and climate in semi‐arid areas.
Pascal Manyakaidze +2 more
doaj +1 more source
CNN Ensemble learning method for Transfer learning: A Review
This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance.
Yudha Islami Sulistya +2 more
doaj +1 more source
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning [PDF]
We propose a novel adaptive transfer learning framework, learning to transfer learn (L2TL), to improve performance on a target dataset by careful extraction of the related information from a source dataset. Our framework considers cooperative optimization of shared weights between models for source and target tasks, and adjusts the constituent loss ...
Zhu, Linchao +3 more
openaire +2 more sources
A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
Pneumonia is among the top diseases which cause most of the deaths all over the world. Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the pneumonia just by looking at chest X-rays.
V. Chouhan +7 more
semanticscholar +1 more source

