AIMC Topic: Data Mining

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A data science roadmap for open science organizations engaged in early-stage drug discovery.

Nature communications Jul 5, 2024
The Structural Genomics Consortium is an international open science research organization with a focus on accelerating early-stage drug discovery, namely hit discovery and optimization. We, as many others, believe that artificial intelligence (AI) is...
Cloud Computing Data Mining Information Dissemination Machine Learning Databases, Factual Drug Discovery Humans Data Science Artificial Intelligence
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OpenChemIE: An Information Extraction Toolkit for Chemistry Literature.

Journal of chemical information and modeling Jul 1, 2024
Information extraction from chemistry literature is vital for constructing up-to-date reaction databases for data-driven chemistry. Complete extraction requires combining information across text, tables, and figures, whereas prior work has mainly inv...
Machine Learning Databases, Chemical Cheminformatics Algorithms Data Mining
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Analyzing variation of water inflow to inland lakes under climate change: Integrating deep learning and time series data mining.

Environmental research Jun 23, 2024
The alarming depletion of global inland lakes in recent decades makes it essential to predict water inflow from rivers to lakes (WIRL) trend and unveil the dominant influencing driver, particularly in the context of climate change. The raw time serie...
Data Mining Climate Change Environmental Monitoring Lakes Deep Learning
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Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on two multi-modal knowledge graphs (MMKGs), is an essential task in knowledge graph fusion. Through mining feature information of MMKGs, entities are aligned to tackle the...
Data Mining Knowledge Neural Networks, Computer Humans Algorithms
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Enabling CMF estimation in data-constrained scenarios: A semantic-encoding knowledge mining model.

Accident; analysis and prevention Jun 18, 2024
Availability of more accurate Crash Modification Factors (CMFs) is crucial for evaluating the effectiveness of various road safety treatments and prioritizing infrastructure investment accordingly. While customized study for each countermeasure scena...
Accidents, Traffic Data Mining Semantics Humans Natural Language Processing
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Precision Drug Repurposing: A Deep Learning Toolkit for Identifying 34 Hyperpigmentation-Associated Genes and Optimizing Treatment Selection.

Annals of plastic surgery Jun 18, 2024
BACKGROUND: Hyperpigmentation is a skin disorder characterized by a localized darkening of the skin due to increased melanin production. When patients fail first line topical treatments, secondary treatments such as chemical peels and lasers are offe...
Humans Drug Repositioning Hyperpigmentation Deep Learning Data Mining Computational Biology Precision Medicine
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GRAM: An interpretable approach for graph anomaly detection using gradient attention maps.

Neural networks : the official journal of the International Neural Network Society Jun 14, 2024
Detecting unusual patterns in graph data is a crucial task in data mining. However, existing methods face challenges in consistently achieving satisfactory performance and often lack interpretability, which hinders our understanding of anomaly detect...
Attention Humans Neural Networks, Computer Algorithms Data Mining
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Dual-extraction modeling: A multi-modal deep-learning architecture for phenotypic prediction and functional gene mining of complex traits.

Plant communications Jun 13, 2024
Despite considerable advances in extracting crucial insights from bio-omics data to unravel the intricate mechanisms underlying complex traits, the absence of a universal multi-modal computational tool with robust interpretability for accurate phenot...
Data Mining Software Phenotype Deep Learning
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Location-enhanced syntactic knowledge for biomedical relation extraction.

Journal of biomedical informatics Jun 12, 2024
Biomedical relation extraction has long been considered a challenging task due to the specialization and complexity of biomedical texts. Syntactic knowledge has been widely employed in existing research to enhance relation extraction, providing guida...
Semantics Natural Language Processing Data Mining Algorithms Humans
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Improving biomedical Named Entity Recognition with additional external contexts.

Journal of biomedical informatics Jun 11, 2024
OBJECTIVE: Biomedical Named Entity Recognition (bio NER) is the task of recognizing named entities in biomedical texts. This paper introduces a new model that addresses bio NER by considering additional external contexts. Different from prior methods...
Humans Algorithms Data Mining Medical Informatics Natural Language Processing PubMed Semantics
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