Check computer science papers: citations, claims and retractions

Time delay estimation via cross-correlation in the presence of large estimation errors

Ianniello, J. (1982) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Direction-of-Arrival Estimation TechniquesRadar Systems and Signal Processing

Cited by 268

No raw data, no science: another possible source of the reproducibility crisis

Miyakawa, T. (2020) · Molecular Brain

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 268

Discrimination through Optimization

Ali, M., Sapiezynski, P., Bogen, M., Korolova, A., Mislove, A., & Rieke, A. (2019) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 268

The infrastructure of experience and the experience of infrastructure: Meaning and structure in everyday encounters with space

Dourish, P., & Bell, G. (2007) · Environment and Planning B: Planning and Design

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 268

Ethical challenges of big data in public health

Vayena, E., Salathé, M., Madoff, L. C., & Brownstein, J. S. (2015) · PLOS Computational Biology

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 268

An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification

Shen, S., Han, S. X., Aberle, D. R., Bui, A. A., & Hsu, W. (2019) · Expert Systems with Applications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 268

Learning from a learning thermostat: lessons for intelligent systems for the home

Yang, R., & Newman, M. W. (2013) · Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Innovative Human-Technology InteractionIoT-based Smart Home Systems

Cited by 268

Learning Everything about Anything: Webly-Supervised Visual Concept Learning

Divvala, S. K., Farhadi, A., & Guestrin, C. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 267

Data, privacy, and the greater good

Horvitz, E., & Mulligan, D. (2015) · Science

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 267

Vection and Simulator Sickness

Hettinger, L. J., Berbaum, K. S., Kennedy, R. S., Dunlap, W. P., & Nolan, M. D. (1990) · Military Psychology

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 267

Service Function Chaining in Next Generation Networks: State of the Art and Research Challenges

Medhat, A. M., Taleb, T., Elmangoush, A., Carella, G. A., Covaci, S., & Magedanz, T. (2017) · IEEE Communications Magazine

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 267

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Verma, S., Boonsanong, V., Hoang, M., Hines, K. E., Dickerson, J. P., & Shah, C. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 267

Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System

Marbouh, D., Abbasi, T., Maasmi, F., Omar, I. A., Debe, M. S., Salah, K., Jayaraman, R., & Ellahham, S. (2020) · Arabian Journal for Science and Engineering

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 267

Deconstructing the human algorithms for exploration

Gershman, S. J. (2018) · Cognition

Reinforcement Learning in RoboticsDecision-Making and Behavioral Economics

Cited by 267

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Kostrikov, I., Yarats, D., & Fergus, R. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 267

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

Wang, Z., She, Q., & Ward, T. E. (2022) · ACM Computing Surveys

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 267

The Emerging Threat of Ai-driven Cyber Attacks: A Review

Guembe, B., Azeta, A., Misra, S., Osamor, V. C., Fernandez-Sanz, L., & Pospelova, V. (2022) · Applied Artificial Intelligence

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 267

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Yuan, Z., Yuan, F., Song, Y., Li, Y., Fu, J., Yang, F., Pan, Y., & Ni, Y. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 267

Survey: sharding in blockchains

Yu, G., Wang, X., Yu, K., Ni, W., Zhang, J. A., & Liu, R. P. (2020) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 267

Participation Is not a Design Fix for Machine Learning

Sloane, M., Moss, E., Awomolo, O., & Forlano, L. (2022) · Equity and Access in Algorithms, Mechanisms, and Optimization

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 267

Human visual system-based image enhancement and logarithmic contrast measure

Panetta, K. A., Wharton, E. J., & Agaian, S. S. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 267

Strengthening legal protection against discrimination by algorithms and artificial intelligence

Zuiderveen Borgesius, F. J. (2020) · The International Journal of Human Rights

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 267

Federated learning for computational pathology on gigapixel whole slide images

Lu, M. Y., Chen, R. J., Kong, D., Lipkova, J., Singh, R., Williamson, D. F. K., Chen, T. Y., & Mahmood, F. (2022) · Medical Image Analysis

AI in cancer detectionPrivacy-Preserving Technologies in Data

Cited by 267

In Search of Self-Sovereign Identity Leveraging Blockchain Technology

Ferdous, M. S., Chowdhury, F., & Alassafi, M. O. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 267