Check computer science papers: citations, claims and retractions

Experience report: functional programming of mHealth applications

Petersen, C. L., Gorges, M., Dunsmuir, D., Ansermino, M., & Dumont, G. A. (2013) · Proceedings of the 18th ACM SIGPLAN international conference on Functional programming

Logic, programming, and type systemsMobile and Web Applications

Cited by 18

Qualified eID Derivation Into a Distributed Ledger Based IdM System

Abraham, A., Theuermann, K., & Kirchengast, E. (2018) · 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

Blockchain Technology Applications and SecurityAccess Control and Trust

Cited by 18

Comparison between Two Time Synchronization and Data Alignment Methods for Multi-Channel Wearable Biosensor Systems Using BLE Protocol

Wang, H., Li, J., McDonald, B. E., Farrell, T. R., Huang, X., & Clancy, E. A. (2023) · Sensors

Bluetooth and Wireless Communication TechnologiesWireless Body Area Networks

Cited by 18

Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments

Queyrut, S., Schiavoni, V., & Felber, P. (2023) · 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 18

Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models

Jin, J., Tang, B., Ma, M., Liu, X., Wang, Y., Lai, Q., Yang, J., & Zhou, C. (2024) · arXiv

Information and Cyber SecurityAdversarial Robustness in Machine Learning

Cited by 18

A model for social engineering awareness program for schools

Mohammed, S., & Apeh, E. (2016) · 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)

Information and Cyber SecuritySpam and Phishing Detection

Cited by 18

Students' Perspectives on AI Code Completion: Benefits and Challenges

Takerngsaksiri, W., Warusavitarne, C., Yaacoub, C., Keng Hou, M. H., & Tantithamthavorn, C. (2024) · 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 18

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Dai, D., Deng, C., Zhao, C., Xu, R. X., Gao, H., Chen, D., Li, J., Zeng, W., Yu, X., Wu, Y., et al. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 18

Learning Analytics for Blended Learning: A Systematic Review of Theory, Methodology, and Ethical Considerations

Bergdahl, N., Nouri, J., Karunaratne, T., Afzaal, M., & Saqr, M. (2020) · International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)

Online Learning and AnalyticsOnline and Blended Learning

Cited by 18

A Step Towards Detecting Online Grooming -- Identifying Adults Pretending to be Children

Ashcroft, M., Kaati, L., & Meyer, M. (2015) · 2015 European Intelligence and Security Informatics Conference

Authorship Attribution and ProfilingHate Speech and Cyberbullying Detection

Cited by 18

Comparing Test Sets with Item Response Theory

Vania, C., Htut, P. M., Huang, W., Mungra, D., Pang, R. Y., Phang, J., Liu, H., Cho, K., & Bowman, S. R. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 18

Using Typography to Expand the Design Space of Data Visualization

Brath, R., & Banissi, E. (2016) · She Ji: The Journal of Design, Economics, and Innovation

Data Visualization and AnalyticsGraphic Design and Typography

Cited by 18

Research data management in academic libraries: institutional repositories as a reservoir for research data

Dube, T. V. (2025) · Library Management

Research Data Management PracticesOptics and Image Analysis

Cited by 18

A Natural Language Processing Model for COVID-19 Detection Based on Dutch General Practice Electronic Health Records by Using Bidirectional Encoder Representations From Transformers: Development and Validation Study

Homburg, M., Meijer, E., Berends, M., Kupers, T., Olde Hartman, T., Muris, J., de Schepper, E., Velek, P., Kuiper, J., Berger, M., et al. (2023) · Journal of Medical Internet Research

Machine Learning in HealthcareTopic Modeling

Cited by 18

Advancing IoT Cybersecurity: Adaptive threat identification with deep learning in Cyber-physical systems

Atheeq, C., Sultana, R., Sabahath, S. A., & Mohammed, M. A. K. (2024) · Engineering, Technology & Applied Science Research

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 18

A unified privacy preserving model with AI at the edge for human-in-the-loop cyber-physical systems

Rivadeneira, J. E., Borges, G. A., Rodrigues, A., Boavida, F., & Sá Silva, J. (2024) · Internet of Things

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 18

LooPy: interactive program synthesis with control structures

Ferdowsifard, K., Barke, S., Peleg, H., Lerner, S., & Polikarpova, N. (2021) · Proceedings of the ACM on Programming Languages

Teaching and Learning ProgrammingLogic, programming, and type systems

Cited by 18

Adaptive Data Replication in Real-Time Reliable Edge Computing for Internet of Things

Wang, C., Gill, C., & Lu, C. (2020) · 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)

IoT and Edge/Fog ComputingDistributed systems and fault tolerance

Cited by 18

"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology

Rosbach, E., Ammeling, J., Krügel, S., Kießig, A., Fritz, A., Ganz, J., Puget, C., Donovan, T., Klang, A., Köller, M. C., et al. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

AI in cancer detectionClinical Reasoning and Diagnostic Skills

Cited by 18

Dynamic adaptive streaming over popularity-driven caching in Information-Centric Networks

Li, W., Oteafy, S. M. A., & Hassanein, H. S. (2015) · 2015 IEEE International Conference on Communications (ICC)

Caching and Content DeliveryAge of Information Optimization

Cited by 18

Self-Rewarding Language Models

Yuan, W., Pang, R. Y., Cho, K., Li, X., Sukhbaatar, S., Xu, J., & Weston, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems

Kulshreshtha, D., Shayan, M., Belfer, R., Reddy, S., Serban, I. V., & Kochmar, E. (2022) · Frontiers in Artificial Intelligence and Applications

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 18

AI-Powered Data Governance: A Cutting-Edge Method for Ensuring Data Quality for Machine Learning Applications

Yandrapalli, V. (2024) · 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)

Data Quality and ManagementMachine Learning and Data Classification

Cited by 18

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

Chai, Y., Wang, S., Pang, C., Sun, Y., Tian, H., & Wu, H. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 18