Check computer science papers: citations, claims and retractions

From explanations to feature selection: assessing SHAP values as feature selection mechanism

Marcilio, W. E., & Eler, D. M. (2020) · 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 504

Learning a Neural Solver for Multiple Object Tracking

Braso, G., & Leal-Taixe, L. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 504

Detecting Deepfakes with Self-Blended Images

Shiohara, K., & Yamasaki, T. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 503

A Comprehensive Survey of Vision-Based Human Action Recognition Methods

Zhang, H.-B., Zhang, Y.-X., Zhong, B., Lei, Q., Yang, L., Du, J.-X., & Chen, D.-S. (2019) · Sensors

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 503

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

Chen, Y., Liu, Z., Xu, H., Darrell, T., & Wang, X. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 503

Gaussian Boson Sampling

Hamilton, C. S., Kruse, R., Sansoni, L., Barkhofen, S., Silberhorn, C., & Jex, I. (2017) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 503

3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition

Chen, M., He, X., Yang, J., & Zhang, H. (2018) · IEEE Signal Processing Letters

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 503

Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?

Jacovi, A., & Goldberg, Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 503

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Duan, Y., Schulman, J., Chen, X., Bartlett, P. L., Sutskever, I., & Abbeel, P. (2016) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 503

Model learning for robot control: A survey

Nguyen-Tuong, D., & Peters, J. (2011) · Cognitive Processing

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 503

The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust

Schepman, A., & Rodway, P. (2023) · International Journal of Human–Computer Interaction

Ethics and Social Impacts of AITechnology Adoption and User Behaviour

Cited by 503

Security services using blockchains: a state of the art survey

Salman, T., Zolanvari, M., Erbad, A., Jain, R., & Samaka, M. (2019) · IEEE Communications Surveys & Tutorials

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 502

SoK: Security and Privacy in Machine Learning

Papernot, N., McDaniel, P., Sinha, A., & Wellman, M. P. (2018) · 2018 IEEE European Symposium on Security and Privacy (EuroS&P)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 502

Scalable noise estimation with random unitary operators

Emerson, J., Alicki, R., & Życzkowski, K. (2005) · Journal of Optics B: Quantum and Semiclassical Optics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 502

Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks

Ibragimov, B., & Xing, L. (2017) · Medical Physics

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 502

DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters

Zhao, Z., Barijough, K. M., & Gerstlauer, A. (2018) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 502

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Wang, G., Zuluaga, M. A., Li, W., Pratt, R., Patel, P. A., Aertsen, M., Doel, T., David, A. L., Deprest, J., Ourselin, S., et al. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 502

Effects of Different Types of Virtual Reality Display on Presence and Learning in a Safety Training Scenario

Buttussi, F., & Chittaro, L. (2018) · IEEE Transactions on Visualization and Computer Graphics

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 501

Six Human-Centered Artificial Intelligence Grand Challenges

Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., et al. (2023) · International Journal of Human–Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 501

Fast Face-Swap Using Convolutional Neural Networks

Korshunova, I., Shi, W., Dambre, J., & Theis, L. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 501

A controlled study of virtual reality exposure therapy for the fear of flying.

Rothbaum, B. O., Hodges, L., Smith, S., Lee, J. H., & Price, L. (2000) · Journal of Consulting and Clinical Psychology

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 501

Guide for conducting risk assessments

Joint Task Force Transformation Initiative (2012)

Information and Cyber SecurityWeb Application Security Vulnerabilities

Cited by 501

Actionable Recourse in Linear Classification

Ustun, B., Spangher, A., & Liu, Y. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

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

Cited by 501

Real-valued fast Fourier transform algorithms

Sorensen, H., Jones, D., Heideman, M., & Burrus, C. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Digital Filter Design and ImplementationMathematical Analysis and Transform Methods

Cited by 500