Check computer science papers: citations, claims and retractions

An artificial intelligence tool to predict fluid requirement in the intensive care unit: a proof-of-concept study

Celi, L. A., Hinske Christian, L., Alterovitz, G., & Szolovits, P. (2008) · Critical Care

Machine Learning in HealthcareHemodynamic Monitoring and Therapy

Cited by 52

Robust and Secure Image Fingerprinting Learned by Neural Network

Li, Y., Wang, D., & Tang, L. (2020) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 52

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models

Dong, Y., Jiang, X., Liu, H., Jin, Z., Gu, B., Yang, M., & Li, G. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 52

Fixed-Complexity Quantum-Assisted Multi-User Detection for CDMA and SDMA

Botsinis, P., Ng, S. X., & Hanzo, L. (2014) · IEEE Transactions on Communications

Wireless Communication Networks ResearchAdvanced Wireless Communication Techniques

Cited by 52

Adaptive performance anomaly detection for online service systems via pattern sketching

Chen, Z., Liu, J., Su, Y., Zhang, H., Ling, X., Yang, Y., & Lyu, M. R. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 52

An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning

Alalhareth, M., & Hong, S.-C. (2023) · Sensors

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 52

The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

Adigwe, A., Tits, N., Haddad, K. E., Ostadabbas, S., & Dutoit, T. (2018) · arXiv

Speech Recognition and SynthesisEmotion and Mood Recognition

Cited by 52

2.4GHz 7mW all-digital PVT-variation tolerant True Random Number Generator in 45nm CMOS

Srinivasan, S., Mathew, S., Ramanarayanan, R., Sheikh, F., Anders, M., Kaul, H., Erraguntla, V., Krishnamurthy, R., & Taylor, G. (2010) · 2010 Symposium on VLSI Circuits

Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design

Cited by 52

Internet Traffic Classification with Federated Learning

Mun, H., & Lee, Y. (2020) · Electronics

Internet Traffic Analysis and Secure E-votingPrivacy-Preserving Technologies in Data

Cited by 52

Deep Learning Approach for Medical Image Analysis

Adegun, A. A., Viriri, S., & Ogundokun, R. O. (2021) · Computational Intelligence and Neuroscience

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 52

Governing by Algorithm? No Noise and (Potentially) Less Bias

Sunstein, C. R. (2021) · SSRN Electronic Journal

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 52

BIIoVT: Blockchain-based secure storage architecture for intelligent internet of vehicular things

Singh, S. K., Park, J. H., Sharma, P. K., & Pan, Y. (2022) · IEEE Consumer Electronics Magazine

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 52

Estimación del tamaño de la muestra para pruebas de usabilidad

Cazañas, A., De San Miguel, A., & Parra, E. (2017) · Enfoque UTE

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 52

FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare

Guo, Y., Liu, F., Cai, Z., Chen, L., & Xiao, N. (2020) · 49th International Conference on Parallel Processing - ICPP

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 52

NuDetective: A Forensic Tool to Help Combat Child Pornography through Automatic Nudity Detection

Polastro, M. D., & da Silva Eleuterio, P. M. (2010) · 2010 Workshops on Database and Expert Systems Applications

Digital and Cyber ForensicsDigital Media Forensic Detection

Cited by 52

Fault-tolerant renormalization group decoder for Abelian topological codes

Duclos-Cianci, G., & Poulin, D. (2014) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 52

WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization

Xie, L., Zheng, C., Xia, H., Qu, H., & Zhu-Tian, C. (2024) · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology

Data Visualization and AnalyticsSoftware Engineering Research

Cited by 52

Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor

Karamlou, A. H., Simon, W. A., Katabarwa, A., Scholten, T. L., Peropadre, B., & Cao, Y. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 52

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Sclar, M., Choi, Y., Tsvetkov, Y., & Suhr, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 52

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Eldan, R., & Li, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 52

Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions

van den Noort, F., van der Vaart, C. H., Grob, A. T. M., van de Waarsenburg, M. K., Slump, C. H., & van Stralen, M. (2019) · Ultrasound in Obstetrics & Gynecology

Medical Image Segmentation TechniquesPelvic floor disorders treatments

Cited by 52

High-fidelity teleportation of a logical qubit using transversal gates and lattice surgery

Ryan-Anderson, C., Brown, N. C., Baldwin, C. H., Dreiling, J. M., Foltz, C., Gaebler, J. P., Gatterman, T. M., Hewitt, N., Holliman, C., Horst, C. V., et al. (2024) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 52

Explainable digital forensics AI: Towards mitigating distrust in AI-based digital forensics analysis using interpretable models

Solanke, A. A. (2022) · Forensic Science International: Digital Investigation

Digital and Cyber ForensicsExplainable Artificial Intelligence (XAI)

Cited by 52

Reliable customer analysis using federated learning and exploring deep-attention edge intelligence

Ahmed, U., Srivastava, G., & Lin, J. C.-W. (2022) · Future Generation Computer Systems

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 52