A survey of visual analytics for explainable artificial intelligence methods
G Alicioglu, B Sun - Computers & Graphics, 2022 - Elsevier
Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …
as medicine, finance, and autonomous vehicle systems with advances in computing power …
Uncovering the mode of action of engineered T cells in patient cancer organoids
Extending the success of cellular immunotherapies against blood cancers to the realm of
solid tumors will require improved in vitro models that reveal therapeutic modes of action at …
solid tumors will require improved in vitro models that reveal therapeutic modes of action at …
Machine learning for administrative health records: A systematic review of techniques and applications
Abstract Machine learning provides many powerful and effective techniques for analysing
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …
B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors
Studying naturalistic animal behavior remains a difficult objective. Recent machine learning
advances have enabled limb localization; however, extracting behaviors requires …
advances have enabled limb localization; however, extracting behaviors requires …
Catch them alive: A malware detection approach through memory forensics, manifold learning and computer vision
The everlasting increase in usage of information systems and online services have triggered
the birth of the new type of malware which are more dangerous and hard to detect. In …
the birth of the new type of malware which are more dangerous and hard to detect. In …
Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex
Cortical circuits are thought to contain a large number of cell types that coordinate to
produce behavior. Current in vivo methods rely on clustering of specified features of …
produce behavior. Current in vivo methods rely on clustering of specified features of …
Response surface methodology as a statistical tool for optimization and FAME profile by GC-MS for assessing microalgae Scenedesmus quadricauda as a potential …
Background Scenedesmus quadricauda isolates were tested for growth kinetics and lipid
accumulation capability. Scenedesmus quadricauda revealed greater potential as a biofuel …
accumulation capability. Scenedesmus quadricauda revealed greater potential as a biofuel …
Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance
in various medical fields. However, their clinical application remains challenging because of …
in various medical fields. However, their clinical application remains challenging because of …
Clustering and classification for time series data in visual analytics: A survey
Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …
Different approaches have been developed to understand the characteristics of the data and …
Robust deep auto-encoding network for real-time anomaly detection at nuclear power plants
S Yong, Z Linzi - Process Safety and Environmental Protection, 2022 - Elsevier
Detecting anomaly conditions in nuclear reactor is a critical issue in safety management of
Nuclear Power Plants (NPPs). Conventionally, the operating status are monitored in …
Nuclear Power Plants (NPPs). Conventionally, the operating status are monitored in …