Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores Machine Learning in Drug Discovery: A Review, contributing new insights to the field of Artificial Intelligence.
This research explores COVID-19 and digitalization: The great acceleration, contributing new insights to the field of Artificial Intelligence.
Major depression constitutes a serious challenge in personal and public health. We find that social media contains useful signals for characterizing the onset of depression in individuals, as measured...
In this paper, we investigate the utility of linguistic features for detecting the sentiment of Twitter messages. We evaluate the usefulness of existing lexical resources as well as features that capt...
We perform a sentiment analysis of all tweets published on the microblogging platform Twitter in the second half of 2008. We find that events in the social, political, cultural and economic sphere do...
Twitter, as a form of social media, is fast emerging in recent years. The remaining words are then clustered to form events with a modularity-based graph partitioning technique.
Location sharing services (LSS) like Foursquare, Gowalla, and Facebook Places support hundreds of millions of user-driven footprints (i.e., "checkins"). In this paper, we investigate 22 million checki...
In this study we investigate how social media shape the networked public sphere and facilitate communication between communities with different political orientations. To explain the distinct topologi...
Versatile Video Coding (VVC) was finalized in July 2020 as the most recent international video coding standard. Highlighted applications include video with resolutions beyond standard- and high-defini...
Despite increasing scientific interest in explaining how gamification supports positive affect and motivation, behavior change and learning, there is still a lack of an overview of the current theoret...
The Genome Sequence Archive (GSA) is a data repository for archiving raw sequence data, which provides data storage and sharing services for worldwide scientific communities. OMIX, as a critical compl...
Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the two essential enterprises in genomic research. Here, we document the current upgrade of GAPIT by describing the se...
Graph neural network (GNN) and label propagation algorithm (LPA) are both message passing algorithms, which have achieved superior performance in semi-supervised classification. UniMP conceptually uni...
Explainable Artificial Intelligence (XAI) is an emerging research topic of machine learning aimed at unboxing how AI systems’ black-box choices are made. We then introduced our solutions for XAI lever...
This research explores SDNet: A Versatile Squeeze-and-Decomposition Network for Rea..., contributing new insights to the field of Artificial Intelligence.
Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is increasing popularity in resolving different optimization problems and has been widely utilized in variou...
Tens of thousands of patients with advanced lung diseases may be eligible to be considered as potential candidates for lung transplant around the world each year. The purpose of this updated consensus...
Heart disease, one of the main reasons behind the high mortality rate around the world, requires a sophisticated and expensive diagnosis process. The result shows that CART, along with RS or QT, outpe...
Directed evolution aims to expedite the natural evolution process of biological molecules and systems in a test tube through iterative rounds of gene diversifications and library screening/selection....
This research explores introduction to Deep Learning in Natural Language Processing..., contributing new insights to the field of Artificial Intelligence.