Check computer science papers: citations, claims and retractions

Using Bluetooth proximity sensing to determine where office workers spend time at work

Clark, B. K., Winkler, E. A., Brakenridge, C. L., Trost, S. G., & Healy, G. N. (2018) · PLOS ONE

Context-Aware Activity Recognition SystemsIndoor and Outdoor Localization Technologies

Cited by 40

RUASN: A Robust User Authentication Framework for Wireless Sensor Networks

Kumar, P., Choudhury, A. J., Sain, M., Lee, S.-G., & Lee, H.-J. (2011) · Sensors

Advanced Authentication Protocols SecuritySecurity in Wireless Sensor Networks

Cited by 40

Explainable artificial intelligence, lawyer's perspective

Górski, Ł., & Ramakrishna, S. (2021) · Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Law

Cited by 40

Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning

Kang, H., Witanto, J. N., Pratama, K., Lee, D., Choi, K. S., Choi, S. H., Kim, K., Kim, M., Kim, J. W., Kim, Y. H., et al. (2023) · Journal of Magnetic Resonance Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 40

Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Bhavya, B., Xiong, J., & Zhai, C. (2022) · Proceedings of the 15th International Conference on Natural Language Generation

Topic ModelingNatural Language Processing Techniques

Cited by 40

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Bi, B., Wu, C., Yan, M., Wang, W., Xia, J., & Li, C. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 40

A multi-perspective view of Internet censorship in Myanmar

Padmanabhan, R., Filastò, A., Xynou, M., Raman, R. S., Middleton, K., Zhang, M., Madory, D., Roberts, M., & Dainotti, A. (2021) · Proceedings of the ACM SIGCOMM 2021 Workshop on Free and Open Communications on the Internet

Internet Traffic Analysis and Secure E-votingFreedom of Expression and Defamation

Cited by 40

DistBlockSDN: A Distributed Secure Blockchain Based SDN-IoT Architecture with NFV Implementation for Smart Cities

Rahman, A., Islam, M. J., Sunny, F. A., & Nasir, M. K. (2019) · 2019 2nd International Conference on Innovation in Engineering and Technology (ICIET)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 40

Measuring Representational Harms in Image Captioning

Wang, A., Barocas, S., Laird, K., & Wallach, H. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 40

Federated Transfer–Ordered–Personalized Learning for Driver Monitoring Application

Yuan, L., Su, L., & Wang, Z. (2023) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 40

GEO-Bench: Toward Foundation Models for Earth Monitoring

Lacoste, A., Lehmann, N., Rodriguez, P., Sherwin, E., Kerner, H., Lütjens, B., Irvin, J., Dao, D., Alemohammad, H., Drouin, A., et al. (2023) · Advances in Neural Information Processing Systems 36

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 40

Quantum algorithms for classical lattice models

De las Cuevas, G., Dür, W., Van den Nest, M., & Martin-Delgado, M. A. (2011) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 40

Random sketch learning for deep neural networks in edge computing

Li, B., Chen, P., Liu, H., Guo, W., Cao, X., Du, J., Zhao, C., & Zhang, J. (2021) · Nature Computational Science

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 40

Self-supervised transfer learning of physiological representations from free-living wearable data

Spathis, D., Perez-Pozuelo, I., Brage, S., Wareham, N. J., & Mascolo, C. (2021) · Proceedings of the Conference on Health, Inference, and Learning

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 40

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Nye, M., Tessler, M. H., Tenenbaum, J. B., & Lake, B. M. (2021) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 40

Accelerating Large Language Model Decoding with Speculative Sampling

Chen, C., Borgeaud, S., Irving, G., Lespiau, J.-B., Sifre, L., & Jumper, J. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 40

Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model

Gao, Z., Liu, X., Kang, Y., Hu, P., Zhang, X., Yan, W., Yan, M., Yu, P., Zhang, Q., Xiao, W., et al. (2024) · Journal of Medical Internet Research

Machine Learning in HealthcareHeart Failure Treatment and Management

Cited by 40

Fifty Years of Prolog and Beyond

KÖRNER, P., LEUSCHEL, M., BARBOSA, J., COSTA, V. S., DAHL, V., HERMENEGILDO, M. V., MORALES, J. F., WIELEMAKER, J., DIAZ, D., ABREU, S., et al. (2022) · Theory and Practice of Logic Programming

Logic, programming, and type systemsLogic, Reasoning, and Knowledge

Cited by 40

Deep Learning for the Classification of Small (≤2 cm) Pulmonary Nodules on CT Imaging: A Preliminary Study

Chae, K. J., Jin, G. Y., Ko, S. B., Wang, Y., Zhang, H., Choi, E. J., & Choi, H. (2020) · Academic Radiology

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 40

Lower bounds for learning distributions under communication constraints via Fisher information

Barnes, L. P., Han, Y., & Ozgur, A. (2019) · arXiv

Distributed Sensor Networks and Detection AlgorithmsStatistical Methods and Inference

Cited by 40

Explaining Deep Learning Models for Spoofing and Deepfake Detection with Shapley Additive Explanations

Ge, W., Patino, J., Todisco, M., & Evans, N. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Explainable Artificial Intelligence (XAI)Digital Media Forensic Detection

Cited by 40

Cryptanalysis of the "Grain" family of stream ciphers

Maximov, A. (2006) · Proceedings of the 2006 ACM Symposium on Information, computer and communications security

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 40

NavFormer: A Transformer Architecture for Robot Target-Driven Navigation in Unknown and Dynamic Environments

Wang, H., Tan, A. H., & Nejat, G. (2024) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 40

SCOR: A secure international informatics infrastructure to investigate COVID-19

Raisaro, J. L., Marino, F., Troncoso-Pastoriza, J., Beau-Lejdstrom, R., Bellazzi, R., Murphy, R., Bernstam, E. V., Wang, H., Bucalo, M., Chen, Y., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataCOVID-19 Digital Contact Tracing

Cited by 40