Check computer science papers: citations, claims and retractions

Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient

Avrachenkov, K., Litvak, N., Nemirovsky, D., & Osipova, N. (2007) · SIAM Journal on Numerical Analysis

Matrix Theory and AlgorithmsInformation Retrieval and Search Behavior

Cited by 250

Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms

Liu, S., Chen, Y., Liu, K., & Zhao, J. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 250

Astraea: Self-Balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

Duan, M., Liu, D., Chen, X., Tan, Y., Ren, J., Qiao, L., & Liang, L. (2019) · 2019 IEEE 37th International Conference on Computer Design (ICCD)

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 250

Virtually enhancing the real world with holograms: An exploration of expected gratifications of using augmented reality smart glasses

Rauschnabel, P. A. (2018) · Psychology & Marketing

Augmented Reality ApplicationsTechnology Adoption and User Behaviour

Cited by 250

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Azizi, S., Culp, L., Freyberg, J., Mustafa, B., Baur, S., Kornblith, S., Chen, T., Tomasev, N., Mitrović, J., Strachan, P., et al. (2023) · Nature Biomedical Engineering

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 250

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning

Ye, C., Fu, T., Hao, S., Zhang, Y., Wang, O., Jin, B., Xia, M., Liu, M., Zhou, X., Wu, Q., et al. (2018) · Journal of Medical Internet Research

Machine Learning in HealthcareBlood Pressure and Hypertension Studies

Cited by 250

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

Willetts, M., Hollowell, S., Aslett, L., Holmes, C., & Doherty, A. (2018) · Scientific Reports

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 250

A 3D Memristive Cubic Map With Dual Discrete Memristors: Design, Implementation, and Application in Image Encryption

Gao, S., Ho-Ching Iu, H., Erkan, U., Simsek, C., Toktas, A., Cao, Y., Wu, R., Mou, J., Li, Q., & Wang, C. (2025) · IEEE Transactions on Circuits and Systems for Video Technology

Chaos-based Image/Signal EncryptionChaos control and synchronization

Cited by 250

Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models

Adnan, M., Habib, A., Ashraf, J., Mussadiq, S., Raza, A. A., Abid, M., Bashir, M., & Khan, S. U. (2021) · IEEE Access

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 250

Computational thinking development through creative programming in higher education

Romero, M., Lepage, A., & Lille, B. (2017) · International Journal of Educational Technology in Higher Education

Teaching and Learning ProgrammingDesign Education and Practice

Cited by 250

Safety and Security in Cyber-Physical Systems and Internet-of-Things Systems

Wolf, M., & Serpanos, D. (2018) · Proceedings of the IEEE

IoT and Edge/Fog ComputingSafety Systems Engineering in Autonomy

Cited by 250

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

Gysel, P., Pimentel, J., Motamedi, M., & Ghiasi, S. (2018) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 250

Probability measures on the space of persistence diagrams

Mileyko, Y., Mukherjee, S., & Harer, J. (2011) · Inverse Problems

Topological and Geometric Data AnalysisGeometric Analysis and Curvature Flows

Cited by 249

Randomized Benchmarking of Single-Qubit Gates in a 2D Array of Neutral-Atom Qubits

Xia, T., Lichtman, M., Maller, K., Carr, A. W., Piotrowicz, M. J., Isenhower, L., & Saffman, M. (2015) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 249

Parsing IKEA Objects: Fine Pose Estimation

Lim, J. J., Pirsiavash, H., & Torralba, A. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 249

Dialogue Natural Language Inference

Welleck, S., Weston, J., Szlam, A., & Cho, K. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 249

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

Clark, R., Wang, S., Markham, A., Trigoni, N., & Wen, H. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 249

Probabilistic Incremental Program Evolution

Salustowicz, R., & Schmidhuber, J. (1997) · Evolutionary Computation

Evolutionary Algorithms and ApplicationsTeaching and Learning Programming

Cited by 249

Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks with Limited Communication Capability

Kai, C., Zhou, H., Yi, Y., & Huang, W. (2021) · IEEE Transactions on Cognitive Communications and Networking

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 249

Towards robust and effective shape modeling: Sparse shape composition

Zhang, S., Zhan, Y., Dewan, M., Huang, J., Metaxas, D. N., & Zhou, X. S. (2012) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 249

Multimodal emotion recognition using deep learning architectures

Ranganathan, H., Chakraborty, S., & Panchanathan, S. (2016) · 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 249

Computationally private information retrieval (extended abstract)

Chor, B., & Gilboa, N. (1997) · Proceedings of the twenty-ninth annual ACM symposium on Theory of computing - STOC '97

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 249

Rationale-Augmented Convolutional Neural Networks for Text Classification

Zhang, Y., Marshall, I., & Wallace, B. C. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Topic ModelingText and Document Classification Technologies

Cited by 249

Decoupled Multimodal Distilling for Emotion Recognition

Li, Y., Wang, Y., & Cui, Z. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 249