Check computer science papers: citations, claims and retractions

A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM

Panigrahy, A. K., Maniyath, S. R., Sathiyanarayanan, M., Dholvan, M., Ramaswamy, T., Hanumanthakari, S., Vignesh, N. A., Kanithan, S., & Swain, R. (2024) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 42

Automatic Detection of Standard Sagittal Plane in the First Trimester of Pregnancy Using 3-D Ultrasound Data

Nie, S., Yu, J., Chen, P., Wang, Y., & Zhang, J. Q. (2017) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 42

Variational Hamiltonian Diagonalization for Dynamical Quantum Simulation

Commeau, B., Cerezo, M., Holmes, Z., Cincio, L., Coles, P. J., & Sornborger, A. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 42

Fuzzy Consensus With Federated Learning Method in Medical Systems

Poap, D. (2021) · IEEE Access

Privacy-Preserving Technologies in DataMulti-Criteria Decision Making

Cited by 42

Learning Navigational Visual Representations with Semantic Map Supervision

Hong, Y., Zhou, Y., Zhang, R., Dernoncourt, F., Bui, T., Gould, S., & Tan, H. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 42

Improved Identity Management with Verifiable Credentials and FIDO

Chadwick, D. W., Laborde, R., Oglaza, A., Venant, R., Wazan, S., & Nijjar, M. (2019) · IEEE Communications Standards Magazine

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 42

Comparison of Pre and Post-Action of a Finite Abelian Group Over Certain Nonlinear Schemes

Yousaf, M. A., Alolaiyan, H., Ahmad, M., Dilbar, M., & Razaq, A. (2020) · IEEE Access

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 42

Multi-Spectral Image Classification with Quantum Neural Network

Gawron, P., & Lewinski, S. (2020) · IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Quantum Computing Algorithms and ArchitectureRemote-Sensing Image Classification

Cited by 42

Blockchain and associated legal issues for emerging markets

Salmon, J., & Myers, G. (2019) · International Finance Corporation, Washington, DC eBooks

Blockchain Technology Applications and SecurityDigital Transformation in Law

Cited by 42

Zero Trust Federation: Sharing Context under User Control towards Zero Trust in Identity Federation

Hatakeyama, K., Kotani, D., & Okabe, Y. (2021) · 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

Access Control and TrustUser Authentication and Security Systems

Cited by 42

Optimal Placement of Social Digital Twins in Edge IoT Networks

Chukhno, O., Chukhno, N., Araniti, G., Campolo, C., Iera, A., & Molinaro, A. (2020) · Sensors

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 42

Poisoning Language Models During Instruction Tuning

Wan, A., Wallace, E., Shen, S., & Klein, D. (2023) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 42

Composite Retrieval of Diverse and Complementary Bundles

Amer-Yahia, S., Bonchi, F., Castillo, C., Feuerstein, E., Mendez-Diaz, I., & Zabala, P. (2014) · IEEE Transactions on Knowledge and Data Engineering

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 42

Fast and Robust Object Tracking Using Tracking Failure Detection in Kernelized Correlation Filter

Shin, J., Kim, H., Kim, D., & Paik, J. (2020) · Applied Sciences

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 42

BinaryBERT: Pushing the Limit of BERT Quantization

Bai, H., Zhang, W., Hou, L., Shang, L., Jin, J., Jiang, X., Liu, Q., Lyu, M., & King, I. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 42

A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning

Mcintosh, T. R., Liu, T., Susnjak, T., Watters, P., & Halgamuge, M. N. (2024) · ACM Transactions on Interactive Intelligent Systems

Ethics and Social Impacts of AITopic Modeling

Cited by 42

Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption

Geaney, A., O’Reilly, P., Maxwell, P., James, J. A., McArt, D., & Salto-Tellez, M. (2023) · Oncogene

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 42

Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation

Ren, Y., Cao, Y., Guo, P., Fang, F., Ma, W., & Lin, Z. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 42

AI for Not Bad

Moore, J. (2019) · Frontiers in Big Data

Ethics and Social Impacts of AIInnovation, Technology, and Society

Cited by 42

A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets

Bernardini, M., Doinychko, A., Romeo, L., Frontoni, E., & Amini, M.-R. (2023) · Computers in Biology and Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 42

Validating a natural language processing tool to exclude psychogenic nonepileptic seizures in electronic medical record-based epilepsy research

Hamid, H., Fodeh, S. J., Lizama, A. G., Czlapinski, R., Pugh, M. J., LaFrance, W. C., & Brandt, C. A. (2013) · Epilepsy & Behavior

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 42

LLM-PBE: Assessing Data Privacy in Large Language Models

Li, Q., Hong, J., Xie, C., Tan, J., Xin, R., Hou, J., Yin, X., Wang, Z., Hendrycks, D., Wang, Z., et al. (2024) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 42

EvalAI: Towards Better Evaluation Systems for AI Agents

Yadav, D., Jain, R., Agrawal, H., Chattopadhyay, P., Singh, T., Jain, A., Singh, S. B., Lee, S., & Batra, D. (2019) · arXiv

Machine Learning and Data ClassificationArtificial Intelligence Applications

Cited by 42

RACE: Retrieval-augmented Commit Message Generation

Shi, E., Wang, Y., Tao, W., Du, L., Zhang, H., Han, S., Zhang, D., & Sun, H. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 42