Check computer science papers: citations, claims and retractions

Bias in artificial intelligence algorithms and recommendations for mitigation

Nazer, L. H., Zatarah, R., Waldrip, S., Ke, J. X. C., Moukheiber, M., Khanna, A. K., Hicklen, R. S., Moukheiber, L., Moukheiber, D., Ma, H., et al. (2023) · PLOS Digital Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 621

VizWiz Grand Challenge: Answering Visual Questions from Blind People

Gurari, D., Li, Q., Stangl, A. J., Guo, A., Lin, C., Grauman, K., Luo, J., & Bigham, J. P. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 621

GANimation: Anatomically-Aware Facial Animation from a Single Image

Pumarola, A., Agudo, A., Martinez, A. M., Sanfeliu, A., & Moreno-Noguer, F. (2018) · Lecture Notes in Computer Science

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 621

Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications

Fraundorfer, F., & Scaramuzza, D. (2012) · IEEE Robotics & Automation Magazine

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 620

Deep reinforcement learning for cyber security

Nguyen, T. T., & Reddi, V. J. (2023) · IEEE Transactions on Neural Networks and Learning Systems

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 620

Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

Ström, P., Kartasalo, K., Olsson, H., Solorzano, L., Delahunt, B., Berney, D. M., Bostwick, D. G., Evans, A. J., Grignon, D. J., Humphrey, P. A., et al. (2020) · The Lancet Oncology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 620

Staying open to interpretation: engaging multiple meanings in design and evaluation

Sengers, P., & Gaver, B. (2006) · Proceedings of the 6th conference on Designing Interactive systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 620

Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions

Sheng, S., Holbrook, M., Kumaraguru, P., Cranor, L. F., & Downs, J. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Spam and Phishing DetectionUser Authentication and Security Systems

Cited by 620

Fog Computing and Smart Gateway Based Communication for Cloud of Things

Aazam, M., & Huh, E.-N. (2014) · 2014 International Conference on Future Internet of Things and Cloud

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 620

Improving Vector Space Word Representations Using Multilingual Correlation

Faruqui, M., & Dyer, C. (2014) · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 620

Data Mining for Internet of Things: A Survey

Tsai, C.-W., Lai, C.-F., Chiang, M.-C., & Yang, L. T. (2014) · IEEE Communications Surveys & Tutorials

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 620

Human- versus Artificial Intelligence

Korteling, J. E. (., van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021) · Frontiers in Artificial Intelligence

Psychiatry, Mental Health, NeuroscienceEthics and Social Impacts of AI

Cited by 619

Uncovering social spammers: social honeypots + machine learning

Lee, K., Caverlee, J., & Webb, S. (2010) · Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 619

Expert Gate: Lifelong Learning with a Network of Experts

Aljundi, R., Chakravarty, P., & Tuytelaars, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 619

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

Yang, L., Qi, L., Feng, L., Zhang, W., & Shi, Y. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 619

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Xiong, M., Hu, Z., Lu, X., Li, Y., Fu, J., He, J., & Hooi, B. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 618

CAD2RL: Real Single-Image Flight Without a Single Real Image

Sadeghi, F., & Levine, S. (2017) · Robotics: Science and Systems XIII

Reinforcement Learning in RoboticsAerospace Engineering and Control Systems

Cited by 618

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Huang, K., Altosaar, J., & Ranganath, R. (2019) · arXiv

Machine Learning in HealthcareMental Health via Writing

Cited by 618

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Zhang, T., McCarthy, Z., Jow, O., Lee, D., Chen, X., Goldberg, K., & Abbeel, P. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 618

A Database and Evaluation Methodology for Optical Flow

Baker, S., Roth, S., Scharstein, D., Black, M. J., Lewis, J. P., & Szeliski, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 618

Constructing a Data‐Driven Society: China's Social Credit System as a State Surveillance Infrastructure

Liang, F., Das, V., Kostyuk, N., & Hussain, M. M. (2018) · Policy & Internet

Ethics and Social Impacts of AICOVID-19 Digital Contact Tracing

Cited by 617

Detecting near-duplicates for web crawling

Manku, G. S., Jain, A., & Das Sarma, A. (2007) · Proceedings of the 16th international conference on World Wide Web

Web Data Mining and AnalysisAlgorithms and Data Compression

Cited by 617

Reliable Federated Learning for Mobile Networks

Kang, J., Xiong, Z., Niyato, D., Zou, Y., Zhang, Y., & Guizani, M. (2020) · IEEE Wireless Communications

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 617

Topological fault-tolerance in cluster state quantum computation

Raussendorf, R., Harrington, J., & Goyal, K. (2007) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 617