Check computer science papers: citations, claims and retractions

Managing trust in a peer-2-peer information system

Aberer, K., & Despotovic, Z. (2001) · Proceedings of the tenth international conference on Information and knowledge management - CIKM'01

Access Control and TrustPeer-to-Peer Network Technologies

Cited by 915

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

Campello, R. J. G. B., Moulavi, D., Zimek, A., & Sander, J. (2015) · ACM Transactions on Knowledge Discovery from Data

Advanced Clustering Algorithms ResearchAnomaly Detection Techniques and Applications

Cited by 915

Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks

Mackay, D. J. C. (1995) · Network Computation in Neural Systems

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 915

Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices

Zhou, L., Wang, S.-T., Choi, S., Pichler, H., & Lukin, M. D. (2020) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 913

Presence and Cybersickness in Virtual Reality Are Negatively Related: A Review

Weech, S., Kenny, S., & Barnett-Cowan, M. (2019) · Frontiers in Psychology

Virtual Reality Applications and ImpactsFlow Experience in Various Fields

Cited by 913

Analysis of the Accuracy and Robustness of the Leap Motion Controller

Weichert, F., Bachmann, D., Rudak, B., & Fisseler, D. (2013) · Sensors

Hand Gesture Recognition SystemsInteractive and Immersive Displays

Cited by 913

On the Length of Programs for Computing Finite Binary Sequences

Chaitin, G. J. (1966) · Journal of the ACM

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 913

An Analysis of Scale Invariance in Object Detection - SNIP

Singh, B., & Davis, L. S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 913

The space of human body shapes: reconstruction and parameterization from range scans

Allen, B., Curless, B., & Popović, Z. (2003) · ACM SIGGRAPH 2003 Papers

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 913

Inspiration for optimization from social insect behaviour

Bonabeau, E., Dorigo, M., & Theraulaz, G. (2000) · Nature

Metaheuristic Optimization Algorithms ResearchModular Robots and Swarm Intelligence

Cited by 912

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Mohamed, S., Png, M.-T., & Isaac, W. (2020) · Philosophy & Technology

Ethics and Social Impacts of AIDecolonial Thought and Epistemologies

Cited by 912

Highway Networks

Srivastava, R. K., Greff, K., & Schmidhuber, J. (2015) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 912

Toward reference models for requirements traceability

Ramesh, B., & Jarke, M. (2001) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 912

The MegaFace Benchmark: 1 Million Faces for Recognition at Scale

Kemelmacher-Shlizerman, I., Seitz, S. M., Miller, D., & Brossard, E. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisFace and Expression Recognition

Cited by 912

Energy-based Generative Adversarial Network

Zhao, J., Mathieu, M., & LeCun, Y. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 912

A product perspective on total data quality management

Wang, R. Y. (1998) · Communications of the ACM

Data Quality and ManagementBig Data and Business Intelligence

Cited by 911

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Khattab, O., Singhvi, A., Maheshwari, P., Zhang, Z., Santhanam, K., Vardhamanan, S., Haq, S., Sharma, A., Joshi, T. T., Moazam, H., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 911

The capacity of the Hopfield associative memory

McEliece, R., Posner, E., Rodemich, E., & Venkatesh, S. (1987) · IEEE Transactions on Information Theory

Neural Networks and ApplicationsError Correcting Code Techniques

Cited by 910

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Tong, Z., Song, Y., Wang, J., & Wang, L. (2022) · arXiv

Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition

Cited by 909

BotOrNot: A System to Evaluate Social Bots

Davis, C. A., Varol, O., Ferrara, E., Flammini, A., & Menczer, F. (2016) · Proceedings of the 25th International Conference Companion on World Wide Web - WWW 16 Companion

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 909

Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art

Ghamisi, P., Yokoya, N., Li, J., Liao, W., Liu, S., Plaza, J., Rasti, B., & Plaza, A. (2017) · IEEE Geoscience and Remote Sensing Magazine

Remote-Sensing Image ClassificationAdvanced Image Fusion Techniques

Cited by 909

The Emergence of Governance in an Open Source Community

O'Mahony, S., & Ferraro, F. (2007) · Academy of Management Journal

Open Source Software InnovationsKnowledge Management and Sharing

Cited by 909

Participatory design

Muller, M. J., & Kuhn, S. (1993) · Communications of the ACM

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 909

Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Li, J., Li, D., Savarese, S., & Hoi, S. (2023) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 908