Check computer science papers: citations, claims and retractions

BEATs: Audio Pre-Training with Acoustic Tokenizers

Chen, S., Wu, Y., Wang, C., Liu, S., Tompkins, D., Chen, Z., & Wei, F. (2022) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 131

Stateless Hash-Based Digital Signature Standard

National Institute of Standards and Technology (US) (2024)

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 131

Quantum computation with universal error mitigation on a superconducting quantum processor

Song, C., Cui, J., Wang, H., Hao, J., Feng, H., & Li, Y. (2019) · Science Advances

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 131

Potential Risks of Hyperledger Fabric Smart Contracts

Yamashita, K., Nomura, Y., Zhou, E., Pi, B., & Jun, S. (2019) · 2019 IEEE International Workshop on Blockchain Oriented Software Engineering (IWBOSE)

Blockchain Technology Applications and SecuritySoftware Engineering Research

Cited by 131

XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process

Clement, T., Kemmerzell, N., Abdelaal, M., & Amberg, M. (2023) · Machine Learning and Knowledge Extraction

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 131

ReViewNet: A fast and resource optimized network for enabling safe autonomous driving in hazy weather conditions

Mehra, A., Mandal, M., Narang, P., & Chamola, V. (2021) · IEEE Transactions on Intelligent Transportation Systems

Image Enhancement TechniquesAdvanced Neural Network Applications

Cited by 131

A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem

Farhi, E., Goldstone, J., & Gutmann, S. (2014) · arXiv

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 131

Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

Hosseinalipour, S., Azam, S. S., Brinton, C. G., Michelusi, N., Aggarwal, V., Love, D. J., & Dai, H. (2020) · arXiv

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 131

Detecting Fake Accounts on Social Media

Khaled, S., El-Tazi, N., & Mokhtar, H. M. O. (2018) · 2018 IEEE International Conference on Big Data (Big Data)

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 131

A Secure and Fast Image Encryption Scheme Based on Double Chaotic S-Boxes

Zhu, S., Wang, G., & Zhu, C. (2019) · Entropy

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 131

Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems

Leonelli, S. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 131

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

Mourão-Miranda, J., Hardoon, D. R., Hahn, T., Marquand, A. F., Williams, S. C. R., Shawe-Taylor, J., & Brammer, M. (2011) · NeuroImage

Anomaly Detection Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 131

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Tipirneni, S., & Reddy, C. K. (2022) · ACM Transactions on Knowledge Discovery from Data

Machine Learning in HealthcareTime Series Analysis and Forecasting

Cited by 130

Decentralized big data auditing for smart city environments leveraging blockchain technology

Yu, H., Yang, Z., & Sinnott, R. O. (2019) · IEEE Access

Blockchain Technology Applications and SecurityCloud Data Security Solutions

Cited by 130

Large language models demonstrate the potential of statistical learning in language

Contreras Kallens, P., Kristensen‐McLachlan, R. D., & Christiansen, M. H. (2023) · Cognitive Science

Natural Language Processing TechniquesLanguage Development and Disorders

Cited by 130

THItoGene: a deep learning method for predicting spatial transcriptomics from histological images

Jia, Y., Liu, J., Chen, L., Zhao, T., & Wang, Y. (2023) · Briefings in Bioinformatics

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 130

Federated Learning Empowered Computation Offloading and Resource Management in 6G-V2X

Prathiba, S. B., Raja, G., Anbalagan, S., Dev, K., Gurumoorthy, S., & Sankaran, A. P. (2022) · IEEE Transactions on Network Science and Engineering

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 130

Efficient Factorization with a Single Pure Qubit andlogNMixed Qubits

Parker, S., & Plenio, M. B. (2000) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 130

Model-Free Quantum Control with Reinforcement Learning

Sivak, V. V., Eickbusch, A., Liu, H., Royer, B., Tsioutsios, I., & Devoret, M. H. (2022) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 130

μEMA: Microinteraction-based ecological momentary assessment (EMA) using a smartwatch

Intille, S., Haynes, C., Maniar, D., Ponnada, A., & Manjourides, J. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Innovative Human-Technology InteractionMental Health Research Topics

Cited by 130

Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey

Peng, K., Li, M., Huang, H., Wang, C., Wan, S., & Choo, K.-K. R. (2021) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 130

Implicit and explicit optimizations for stencil computations

Kamil, S., Datta, K., Williams, S., Oliker, L., Shalf, J., & Yelick, K. (2006) · Proceedings of the 2006 workshop on Memory system performance and correctness

Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques

Cited by 130

Ethics of generative AI

Zohny, H., McMillan, J., & King, M. (2023) · Journal of Medical Ethics

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 130

Fast and scalable search of whole-slide images via self-supervised deep learning

Chen, C., Lu, M. Y., Williamson, D. F. K., Chen, T. Y., Schaumberg, A. J., & Mahmood, F. (2022) · Nature Biomedical Engineering

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 130