Check computer science papers: citations, claims and retractions

In AI We Trust: Ethics, Artificial Intelligence, and Reliability

Ryan, M. (2020) · Science and Engineering Ethics

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 600

A Multiscale Visualization of Attention in the Transformer Model

Vig, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 600

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

Liu, H., Li, X., Zhou, W., Chen, Y., He, Y., Xue, H., Zhang, W., & Yu, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 600

Federated Machine Learning: Concept and Applications

Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 600

The cepstrum: A guide to processing

Childers, D. G., Skinner, D. P., & Kemerait, R. C. (1977) · Proceedings of the IEEE

Digital Filter Design and ImplementationMusic and Audio Processing

Cited by 600

An Unsupervised Learning Model for Deformable Medical Image Registration

Balakrishnan, G., Zhao, A., Sabuncu, M. R., Dalca, A. V., & Guttag, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 599

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Jiang, L., Li, R., Wu, W., Qian, C., & Loy, C. C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 599

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

Lin, X., Xiong, G., Gou, G., Li, Z., Shi, J., & Yu, J. (2022) · Proceedings of the ACM Web Conference 2022

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 599

Virtual Reality as an Adjunctive Non-pharmacologic Analgesic for Acute Burn Pain During Medical Procedures

Hoffman, H. G., Chambers, G. T., Meyer, W. J., Arceneaux, L. L., Russell, W. J., Seibel, E. J., Richards, T. L., Sharar, S. R., & Patterson, D. R. (2011) · Annals of Behavioral Medicine

Virtual Reality Applications and ImpactsPediatric Pain Management Techniques

Cited by 599

The distress analysis interview corpus of human and computer interviews

Gratch, J., Artstein, R., Lucas, G., Stratou, G., Scherer, S., Nazarian, A., Wood, R., Boberg, J., DeVault, D., Marsella, S., et al. (2014) · Proceedings of the Language Resources and Evaluation Conference

Emotion and Mood RecognitionMental Health via Writing

Cited by 599

Learning in Embedded Systems

Kaelbling, L. P. (1993) · The MIT Press eBooks

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 599

Deep visual foresight for planning robot motion

Finn, C., & Levine, S. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 599

A Review of Explainable Artificial Intelligence in Healthcare

Sadeghi, Z., Alizadehsani, R., CIFCI, M. A., Kausar, S., Rehman, R., Mahanta, P., Bora, P. K., Almasri, A., Alkhawaldeh, R. S., Hussain, S., et al. (2024) · Computers and Electrical Engineering

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 598

A Review on Fairness in Machine Learning

Pessach, D., & Shmueli, E. (2023) · ACM Computing Surveys

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 598

Surface code quantum computing by lattice surgery

Horsman, D., Fowler, A. G., Devitt, S., & Meter, R. V. (2012) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 598

Classification with Quantum Neural Networks on Near Term Processors

Farhi, E., & Neven, H. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 598

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

Mostafazadeh, N., Chambers, N., He, X., Parikh, D., Batra, D., Vanderwende, L., Kohli, P., & Allen, J. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 598

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

Lång, K., Josefsson, V., Larsson, A.-M., Larsson, S., Högberg, C., Sartor, H., Hofvind, S., Andersson, I., & Rosso, A. (2023) · The Lancet Oncology

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 598

Notions of explainability and evaluation approaches for explainable artificial intelligence

Vilone, G., & Longo, L. (2021) · Information Fusion

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

Cited by 598

Noise-tolerant learning, the parity problem, and the statistical query model

Blum, A., Kalai, A., & Wasserman, H. (2003) · Journal of the ACM

Machine Learning and AlgorithmsComplexity and Algorithms in Graphs

Cited by 598

Audio-visual speech modeling for continuous speech recognition

Dupont, S., & Luettin, J. (2000) · IEEE Transactions on Multimedia

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 598

Real-time visual tracking of complex structures

Drummond, T., & Cipolla, R. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 598

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.

Swanson, K., Wu, E., Zhang, A., Alizadeh, A. A., & Zou, J. (2023) · Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 597

Explainable Prediction of Medical Codes from Clinical Text

Mullenbach, J., Wiegreffe, S., Duke, J., Sun, J., & Eisenstein, J. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 597