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[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Enormous amounts of data are being produced everyday by sub-meters and smart sensors
installed in residential buildings. If leveraged properly, that data could assist end-users …
installed in residential buildings. If leveraged properly, that data could assist end-users …
Survey on visual analysis of event sequence data
Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …
are commonly observed in a variety of applications ranging from electronic health records to …
Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives
This paper provides a comprehensive survey of anomaly detection for the Internet of Things
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …
Scenario-based requirements elicitation for user-centric explainable AI: a case in fraud detection
Abstract Explainable Artificial Intelligence (XAI) develops technical explanation methods and
enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine …
enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine …
Social bots and their coordination during online campaigns: a survey
Online social networks (OSNs) are a major component of societal digitalization. OSNs alter
how people communicate, make decisions, and form or change their beliefs, attitudes, and …
how people communicate, make decisions, and form or change their beliefs, attitudes, and …
Agentlens: Visual analysis for agent behaviors in llm-based autonomous systems
Recently, Large Language Model based Autonomous System (LLMAS) has gained great
popularity for its potential to simulate complicated behaviors of human societies. One of its …
popularity for its potential to simulate complicated behaviors of human societies. One of its …
[HTML][HTML] Towards a better understanding of the role of visualization in online learning: A review
With the popularity of online learning in recent decades, MOOCs (Massive Open Online
Courses) are increasingly pervasive and widely used in many areas. Visualizing online …
Courses) are increasingly pervasive and widely used in many areas. Visualizing online …
Anomaly behavior detection analysis in video surveillance: a critical review
Anomaly detection is one of the most researched topics in computer vision and machine
learning. Manual detection of an oddity in a video costs significant time and money, so there …
learning. Manual detection of an oddity in a video costs significant time and money, so there …
A scalable RF-XGBoost framework for financial fraud mitigation
Machine learning offers the ability to analyze large financial data and extract hidden
knowledge for anomalous patterns. In the current study, we propose an ensemble machine …
knowledge for anomalous patterns. In the current study, we propose an ensemble machine …
Application of mathematical optimization in data visualization and visual analytics: a survey
Mathematical optimization is the process of determining the set of globally or locally optimal
parameters in a finite or infinite search space. It has been extensively employed in the …
parameters in a finite or infinite search space. It has been extensively employed in the …