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Found 22 papers, 1 papers with code
Emotion Detection for Misinformation: A Review
The emotions and sentiments of netizens, as expressed in social media posts and news, constitute important factors that can help to distinguish fake news from genuine news and to understand the spread of rumors.
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
In our experiments in centralized and federated settings on the brain age prediction task (estimating a person's age from their brain MRI), we demonstrate that models can be pruned up to 95% sparsity without affecting performance even in challenging federated learning environments with highly heterogeneous data distributions.
Functional2Structural: Cross-Modality Brain Networks Representation Learning
Since brain networks derived from functional and structural MRI describe the brain topology from different perspectives, exploring a representation that combines these cross-modality brain networks is non-trivial.
HSEarch: semantic search system for workplace accident reports
Semantic search engines, which integrate the output of text mining (TM) methods, can significantly increase the ease and efficiency of finding relevant documents and locating important information within them.
Scaling Neuroscience Research using Federated Learning
Federated Learning is a promising approach to learn a joint model over data silos.
Deep Representation Learning For Multimodal Brain Networks
The higher-order network mappings from brain structural networks to functional networks are learned in the node domain.
Semantic Annotation for Improved Safety in Construction Work
In response, we have designed a novel named entity annotation scheme and associated guidelines for this domain, which covers hazards, consequences, mitigation strategies and project attributes.
Large-Scale Unsupervised Deep Representation Learning for Brain Structure
Machine Learning (ML) is increasingly being used for computer aided diagnosis of brain related disorders based on structural magnetic resonance imaging (MRI) data.
Fast Predictive Simple Geodesic Regression
Deformable image registration and regression are important tasks in medical image analysis.
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure
As a regression model, it is competitive to the state-of-the-arts sparse models; as a variable selection method, SGLGG is promising for identifying Alzheimer's disease-related risk SNPs.
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
There is no consensus on how to construct structural brain networks from diffusion MRI.
Structural Connectome Validation Using Pairwise Classification
In this work, we study the extent to which structural connectomes and topological derivative measures are unique to individual changes within human brains.
Identifying Content Types of Messages Related to Open Source Software Projects
Assessing the suitability of an Open Source Software project for adoption requires not only an analysis of aspects related to the code, such as code quality, frequency of updates and new version releases, but also an evaluation of the quality of support offered in related online forums and issue trackers.
The Strategic Impact of META-NET on the Regional, National and International Level
This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.
Identification of Manner in Bio-Events
Until recently, these corpora, and hence the event extraction systems trained on them, focussed almost exclusively on the identification and classification of event arguments, without taking into account how the textual context of the events could affect their interpretation.
Biomedical Chinese-English CLIR Using an Extended CMeSH Resource to Expand Queries
All experiments compare the use of two different retrieval models, i. e. Okapi BM25 and a query likelihood language model.
