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Deep learning in drug discovery: an integrative review and future challenges
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of...
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Knowledge-based discovery of multi-level co-location patterns using ontology
Spatial co-location pattern discovery (SCPD), a kind of knowledge discovery process, aims at discovering potentially unknown co-location patterns...
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VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability
Knowledge about the subtypes of a disease critically affects clinical decisions ranging from the choice of therapeutic options to patient management....
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Using AI and ML to optimize information discovery in under-utilized, Holocaust-related records
Digital cultural assets are often thought to exist in separate spheres based on their two principal points of origin: digitized and born digital....
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Broaden Your Positives: A General Rectification Approach for Novel Class Discovery
Novel category discovery (NCD), which is a challenging and emerging task, aims to cluster unlabelled instances with knowledge information transferred...
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Pattern Discovery for Heterogeneous Data
In the field of knowledge discovery for multi-source homogeneous data, for an entity, its correct value is found by resolving conflicts among...
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Open dataset discovery using context-enhanced similarity search
Today, open data catalogs enable users to search for datasets with full-text queries in metadata records combined with simple faceted filtering....
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IPMD: Intentional Process Model Discovery from Event Logs
Intention Mining is a crucial aspect of understanding human behavior. It focuses on uncovering the underlying hidden intentions and goals that guide...
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A Parallel Discord Discovery Algorithm for a Graphics Processor
AbstractThe detection of anomalous subsequences in a time series is required today in a wide range of computationally intensive applications such as...
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Periodic fable discovery: an augmented reality serious game to introduce and motivate young children towards chemistry
Children’s interest in new technologies and games creates opportunities to use these tools to facilitate their thinking processes for scientific...
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Explainable Machine Learning and Visual Knowledge Discovery
The importance of visual methods in machine learning (ML) as tools to increase the interpretability and validity of models, is growing. The visual...
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Variational Diversity Maximization for Hierarchical Skill Discovery
Hierarchical Reinforcement Learning (HRL) has led to rapid progress on structured exploration and solving challenging tasks. In HRL, planning with...
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Dependency-Aware Core Column Discovery for Table Understanding
In a relational table, core columns represent the primary subject entities that other columns in the table depend on. While discovering core columns...
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CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery
The automated discovery of vulnerabilities at scale is a crucial area of research in software security. While numerous machine learning models for...
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Interactive Multi-interest Process Pattern Discovery
Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users. Existing PPDMs typically are unsupervised and focus on a...
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Community Discovery Algorithm Based on Improved Deep Sparse Autoencoder
Community structures are everywhere, from simple networks to real-world complex networks. Community structure is an important feature in complex...
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False discovery rate envelopes
False discovery rate (FDR) is a common way to control the number of false discoveries in multiple testing. There are a number of approaches available...
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Enabling PII Discovery in Textual Data via Outlier Detection
Discovering Personal Identifying Information (PII) in textual data is an important pre-processing step to enabling privacy preserving data analytics....
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MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery
Large language models have greatly enhanced our ability to understand biology and chemistry, yet robust methods for structure-based drug discovery,...
