[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

Y Himeur, K Ghanem, A Alsalemi, F Bensaali, A Amira - Applied Energy, 2021 - Elsevier
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 …

Survey on visual analysis of event sequence data

Y Guo, S Guo, Z **, S Kaul, D Gotz… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives

D Adhikari, W Jiang, J Zhan, DB Rawat… - Computer Science …, 2024 - Elsevier
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 …

Scenario-based requirements elicitation for user-centric explainable AI: a case in fraud detection

D Cirqueira, D Nedbal, M Helfert… - International cross-domain …, 2020 - Springer
Abstract Explainable Artificial Intelligence (XAI) develops technical explanation methods and
enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine …

Social bots and their coordination during online campaigns: a survey

T Khaund, B Kirdemir, N Agarwal, H Liu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …

Agentlens: Visual analysis for agent behaviors in llm-based autonomous systems

J Lu, B Pan, J Chen, Y Feng, J Hu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Towards a better understanding of the role of visualization in online learning: A review

G Zhang, Z Zhu, S Zhu, R Liang, G Sun - Visual Informatics, 2022 - Elsevier
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 …

Anomaly behavior detection analysis in video surveillance: a critical review

S Roka, M Diwakar, P Singh… - Journal of Electronic …, 2023 - spiedigitallibrary.org
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 …

A scalable RF-XGBoost framework for financial fraud mitigation

IK Nti, AR Somanathan - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
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 …

Application of mathematical optimization in data visualization and visual analytics: a survey

G Sun, Z Zhu, G Zhang, C Xu, Y Wang… - … Transactions on Big …, 2023 - ieeexplore.ieee.org
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 …