Results 11 to 20 of about 1,001,459 (337)
Automated GDPR Contract Compliance Verification Using Knowledge Graphs
In the past few years, the main research efforts regarding General Data Protection Regulation (GDPR)-compliant data sharing have been focused primarily on informed consent (one of the six GDPR lawful bases for data processing).
Amar Tauqeer +4 more
doaj +1 more source
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation [PDF]
We introduce a method to measure uncertainty in large language models. For tasks like question answering, it is essential to know when we can trust the natural language outputs of foundation models.
Lorenz Kuhn, Y. Gal, Sebastian Farquhar
semanticscholar +1 more source
Fully convolutional networks for semantic segmentation [PDF]
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-art in semantic segmentation.
Evan Shelhamer +2 more
semanticscholar +1 more source
Synthesizing evidence from clinical trials with dynamic interactive argument trees
Background Evidence-based medicine propagates that medical/clinical decisions are made by taking into account high-quality evidence, most notably in the form of randomized clinical trials.
Olivia Sanchez-Graillet +5 more
doaj +1 more source
Semantic Image Synthesis With Spatially-Adaptive Normalization [PDF]
We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout. Previous methods directly feed the semantic layout as input to the network, forcing the network to memorize ...
Taesung Park +3 more
semanticscholar +1 more source
Learning Deconvolution Network for Semantic Segmentation [PDF]
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer net.
Hyeonwoo Noh +2 more
semanticscholar +1 more source
Biomedical semantics in the Semantic Web [PDF]
Abstract The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and translational medicine. As for any new paradigm, the adoption of the Semantic Web offers
Splendiani, A. +4 more
openaire +2 more sources
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation [PDF]
Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context.
Ross B. Girshick +3 more
semanticscholar +1 more source
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation [PDF]
We present SegNeXt, a simple convolutional network architecture for semantic segmentation. Recent transformer-based models have dominated the field of semantic segmentation due to the efficiency of self-attention in encoding spatial information.
Meng-Hao Guo +5 more
semanticscholar +1 more source
Finnish Parliament on the Semantic Web
This paper introduces the system ParliamentSampo – Parliament of Finland on the Semantic Web, a Linked Open Data (LOD) service, data infrastructure, and semantic portal for studying Finnish political culture, language, and networks of the Members of ...
Eero Hyvönen +11 more
doaj +1 more source

