Check computer science papers: citations, claims and retractions

UUX Evaluation of a Digitally Advanced Human–Machine Interface for Excavators

Lorenz, S., Helmert, J. R., Anders, R., Wölfel, C., & Krzywinski, J. (2020) · Multimodal Technologies and Interaction

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 16

What if This Modified That? Syntactic Interventions with Counterfactual Embeddings

Tucker, M., Qian, P., & Levy, R. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 16

Apple Vision Pro and the advancement of medical education with extended reality

Waisberg, E., Ong, J., Masalkhi, M., Zaman, N., Sarker, P., Lee, A. G., & Tavakkoli, A. (2023) · Canadian Medical Education Journal

Augmented Reality ApplicationsAnatomy and Medical Technology

Cited by 16

FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning

Mahmoudi, A., Ghadikolaei, H. S., Barros Da Silva, J. M., & Fischione, C. (2024) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 16

Self-Adapting Reliability in Distributed Software Systems

Brun, Y., Bang, J. Y., Edwards, G., & Medvidovic, N. (2015) · IEEE Transactions on Software Engineering

Distributed systems and fault toleranceSoftware Reliability and Analysis Research

Cited by 16

Algorithmic progress in language models

Ho, A., Besiroglu, T., Erdil, E., Owen, D., Rahman, R., Guo, Z. C., Atkinson, D., Thompson, N., & Sevilla, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

Child-Centred AI Design: Definition, Operation, and Considerations

Wang, G., Sun, K., Atabey, A., Pothong, K., Lin, G. C., Zhao, J., & Yip, J. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionChild Development and Digital Technology

Cited by 16

Continuous document layout analysis: Human-in-the-loop AI-based data curation, database, and evaluation in the domain of public affairs

Peña, A., Morales, A., Fierrez, J., Ortega-Garcia, J., Puente, I., Cordova, J., & Cordova, G. (2024) · Information Fusion

Handwritten Text Recognition TechniquesText and Document Classification Technologies

Cited by 16

ContextCite: Attributing Model Generation to Context

Cohen-Wang, B., Shah, H., Georgiev, K., & Madry, A. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 16

How many FIDO protocols are needed? Analysing the technology, security and compliance

Angelogianni, A., Politis, I., & Xenakis, C. (2024) · ACM Computing Surveys

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 16

Fast Weighted Total Variation Regularization Algorithm for Blur Identification and Image Restoration

Liu, H., Gu, J., Meng, M. Q.-H., & Lu, W.-S. (2016) · IEEE Access

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 16

A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking

Niavis, H., Papadis, N., Reddy, V., Rao, H., & Tassiulas, L. (2020) · 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 16

Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Chopra, B., Singha, A., Fariha, A., Gulwani, S., Parnin, C., Tiwari, A., & Henley, A. Z. (2023) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 16

Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models

Phung, T., Cambronero, J., Gulwani, S., Kohn, T., Majumdar, R., Singla, A., & Soares, G. (2023) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 16

Bringing intelligence to Edge/Fog in Internet of Things-based healthcare applications: Machine learning/deep learning-based use cases

Makina, H., & Ben Letaifa, A. (2023) · International Journal of Communication Systems

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 16

Culturally Responsive Artificial Intelligence – Problems, Challenges and Solutions

Ożegalska-Łukasik, N., & Łukasik, S. (2023) · Intercultural Relations

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 16

An introduction into fault-tolerant quantum computing

Paler, A., & Devitt, S. J. (2015) · Proceedings of the 52nd Annual Design Automation Conference

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 16

Generative Representational Instruction Tuning

Muennighoff, N., Su, H., Wang, L., Yang, N., Wei, F., Yu, T., Singh, A., & Kiela, D. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 16

Instructors' perceptions of intelligent tutoring systems and their implications for studying computer programming in Omani higher education institutions

Al-Shanfari, L., Abdullah, S., Fstnassi, T., & Al-Kharusi, S. (2023) · International Journal of Membrane Science and Technology

Intelligent Tutoring Systems and Adaptive LearningTeaching and Learning Programming

Cited by 16

Le nouveau pouvoir statistique: Ou quand le contrôle s'exerce sur un réel normé, docile et sans événement car constitué de corps « numériques »...

Rouvroy, A., & Berns, T. (2010) · Multitudes

Ethics and Social Impacts of AIFoucault, Power, and Ethics

Cited by 16

irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets

Bejan, C. A., Wang, M., Venkateswaran, S., Bergmann, E. A., Hiles, L., Xu, Y., Chandler, G. S., Brondfield, S., Silverstein, J., Wright, F., et al. (2026) · eBioMedicine

Machine Learning in HealthcarePharmacovigilance and Adverse Drug Reactions

Cited by 16

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Tang, Q., Deng, Z., Lin, H., Han, X., Liang, Q., Cao, B., & Sun, L. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 16

"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner

Chan, S., Li, J., Yao, B., Mahmood, A., Huang, C.-M., Jimison, H., Mynatt, E. D., & Wang, D. (2023) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 16

A perspective on integrating digital pathology, proteomics, clinical data and AI analytics in cancer research

Guedes, J., Woldmar, N., Szasz, A. M., Wieslander, E., Pawłowski, K., Horvatovich, P., Malm, J., Szadai, L., Németh, I. B., Marko-Varga, G., et al. (2025) · Journal of Proteomics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 16