Check computer science papers: citations, claims and retractions

Continuous-variable quantum neural networks

Killoran, N., Bromley, T. R., Arrazola, J. M., Schuld, M., Quesada, N., & Lloyd, S. (2019) · Physical Review Research

Quantum Computing Algorithms and ArchitectureNeural Networks and Reservoir Computing

Cited by 418

OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

Eyben, F., Wollmer, M., & Schuller, B. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 418

SimSwap: An Efficient Framework For High Fidelity Face Swapping

Chen, R., Chen, X., Ni, B., & Ge, Y. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 418

Understanding the Limitations of CNN-Based Absolute Camera Pose Regression

Sattler, T., Zhou, Q., Pollefeys, M., & Leal-Taixe, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 418

Constitutional democracy and technology in the age of artificial intelligence

Nemitz, P. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 418

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Park, D. H., Hendricks, L. A., Akata, Z., Rohrbach, A., Schiele, B., Darrell, T., & Rohrbach, M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 418

Emotions are emergent processes: they require a dynamic computational architecture

Scherer, K. R. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences

Psychiatry, Mental Health, NeuroscienceCognitive Science and Education Research

Cited by 417

GitHub Copilot AI pair programmer: Asset or Liability?

Dakhel, A. M., Majdinasab, V., Nikanjam, A., Khomh, F., Desmarais, M. C., Ming, Z., & Jiang (2022) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 417

Efficient computation of optimal actions

Todorov, E. (2009) · Proceedings of the National Academy of Sciences

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 417

The Impact of Mobile Phone Usage on Student Learning

Kuznekoff, J. H., & Titsworth, S. (2013) · Communication Education

Mobile Learning in EducationInnovations in Educational Methods

Cited by 417

ResNet and its application to medical image processing: Research progress and challenges

Xu, W., Fu, Y.-L., & Zhu, D. (2023) · Computer Methods and Programs in Biomedicine

AI in cancer detectionAdvanced Neural Network Applications

Cited by 416

Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review

Memarian, B., & Doleck, T. (2023) · Computers and Education: Artificial Intelligence

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 416

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

Ding, H., Zhou, S. K., & Chellappa, R. (2017) · 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 416

A first look at identity management schemes on the blockchain

Dunphy, P., & Petitcolas, F. A. P. (2018) · IEEE Security & Privacy

Blockchain Technology Applications and SecurityUser Authentication and Security Systems

Cited by 416

Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge

Hu, C., Bao, W., Wang, D., & Liu, F. (2019) · IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 416

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Baumgartner, C. F., Kamnitsas, K., Matthew, J., Fletcher, T. P., Smith, S., Koch, L. M., Kainz, B., & Rueckert, D. (2017) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 416

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

Zhou, H., Liu, Y., Liu, Z., Luo, P., & Wang, X. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 416

Quantification of tremor and bradykinesia in Parkinson’s disease using a novel ambulatory monitoring system

Salarian, A., Russmann, H., Wider, C., Burkhard, P. R., Vingerhoets, F. J. G., & Aminian, K. (2007) · IEEE Transactions on Biomedical Engineering

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 416

Recognition of emotions using multimodal physiological signals and an ensemble deep learning model

Yin, Z., Zhao, M., Wang, Y., Yang, J., & Zhang, J. (2017) · Computer Methods and Programs in Biomedicine

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 416

Benchmarking Large Language Models for News Summarization

Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 415

Large language models in healthcare and medical domain: A review

Nazi, Z. A., & Peng, W. (2024) · Informatics

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 415

Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild

Baltrusaitis, T., Robinson, P., & Morency, L.-P. (2013) · 2013 IEEE International Conference on Computer Vision Workshops

Face recognition and analysisFace and Expression Recognition

Cited by 415

Geometric theory of nonlocal two-qubit operations

Zhang, J., Vala, J., Sastry, S., & Whaley, K. B. (2003) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 415

Dynamic node creation in backpropagation networks

ASH, T. (1989) · Connection Science

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 415