Check computer science papers: citations, claims and retractions

The validity and utility of activity logs as a measure of student engagement

Motz, B., Quick, J., Schroeder, N., Zook, J., & Gunkel, M. (2019) · Proceedings of the 9th International Conference on Learning Analytics & Knowledge

Online Learning and AnalyticsOnline and Blended Learning

Cited by 47

A new model for manufacturing supply chain networks: A multiagent approach

Chan, F. T. S., & Chan, H. K. (2004) · Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Multi-Agent Systems and NegotiationCollaboration in agile enterprises

Cited by 47

The Potential of Consumer-Targeted Virtual Reality Relaxation Applications: Descriptive Usage, Uptake and Application Performance Statistics for a First-Generation Application

Lindner, P., Miloff, A., Hamilton, W., & Carlbring, P. (2019) · Frontiers in Psychology

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 47

Market Practices and the Bazaar: Technology Consumption in ICT Markets in the Global South

Chandra, P., Ahmed, S. I., & Pal, J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesInnovation and Socioeconomic Development

Cited by 47

Shor's algorithm on a nearest-neighbor machine

Kutin, S. A. (2006) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 47

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education

Shen, J. T., Yamashita, M., Prihar, E., Heffernan, N., Wu, X., Graff, B., & Lee, D. (2021) · arXiv

Topic ModelingIntelligent Tutoring Systems and Adaptive Learning

Cited by 47

Impact of learning analytics feedback on self-regulated learning: Triangulating behavioural logs with students’ recall

Lim, L.-A., Gasevic, D., Matcha, W., Ahmad Uzir, N., & Dawson, S. (2021) · LAK21: 11th International Learning Analytics and Knowledge Conference

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 47

We’re Missing a Moral Framework of Justice in Artificial Intelligence: On the Limits, Failings, and Ethics of Fairness

Le Bui, M., & Noble, S. U. (2020) · The Oxford Handbook of Ethics of AI

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 47

Ground truth tracings (GTT): On the epistemic limits of machine learning

Kang, E. B. (2023) · Big Data & Society

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 47

Systematic Biases in LLM Simulations of Debates

Taubenfeld, A., Dover, Y., Reichart, R., & Goldstein, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIOpinion Dynamics and Social Influence

Cited by 47

Real-Time Automatic Assisted Detection of Uterine Fibroid in Ultrasound Images Using a Deep Learning Detector

Yang, T., Yuan, L., Li, P., & Liu, P. (2023) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 47

DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers’ Learning Curve Analysis

Pan, M., Huang, W., Li, Y., Zhou, X., Liu, Z., Song, R., Lu, H., Tian, Z., & Luo, J. (2020) · ACM Transactions on Intelligent Systems and Technology

Reinforcement Learning in RoboticsHuman-Automation Interaction and Safety

Cited by 47

Algorithmic transparency and bureaucratic discretion: The case of SALER early warning system

Criado, J. I., Valero, J., & Villodre, J. (2020) · Information Polity

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 47

HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Ali, T., & Kostakos, P. (2023) · arXiv

Network Security and Intrusion DetectionExplainable Artificial Intelligence (XAI)

Cited by 47

Providing detection strategies to improve human detection of deepfakes: An experimental study

Somoray, K., & Miller, D. J. (2023) · Computers in Human Behavior

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 47

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts

Hashemi, H., Eisner, J., Rosset, C., Van Durme, B., & Kedzie, C. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 47

Curiosity-Driven Experience Prioritization via Density Estimation

Zhao, R., & Tresp, V. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 47

Measuring the effective parameters of steering motions

Kulikov, S., MacKenzie, I. S., & Stuerzlinger, W. (2005) · CHI '05 Extended Abstracts on Human Factors in Computing Systems

Interactive and Immersive DisplaysMotor Control and Adaptation

Cited by 47

VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Li, X., Ding, J., & Elhoseiny, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 47

Inherent bias in large language models: a random sampling analysis.

Ayoub, N. F., Balakrishnan, K., Ayoub, M. S., Barrett, T. F., David, A. P., & Gray, S. T. (2024) · Mayo Clinic Proceedings Digital Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 47

Intrusion Detection of Industrial Control System Based on Modbus TCP Protocol

Yusheng, W., Kefeng, F., Yingxu, L., Zenghui, L., Ruikang, Z., Xiangzhen, Y., & Lin, L. (2017) · 2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 47

Classical databases and knowledge organization: A case for boolean retrieval and human decision‐making during searches

Hjørland, B. (2015) · Journal of the Association for Information Science and Technology

Information Retrieval and Search BehaviorLibrary Science and Information

Cited by 47

2d/3d Registration of Endoscopic Ultrasound to Ct Volume Data

Hummel, J., Figl, M., Bax, M., Bergmann, H., & Birkfellner, W. (2008) · Physics in Medicine and Biology

Medical Image Segmentation TechniquesAugmented Reality Applications

Cited by 47

Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution

Günnemann, S., Günnemann, N., & Faloutsos, C. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Anomaly Detection Techniques and ApplicationsBayesian Methods and Mixture Models

Cited by 47