Check computer science papers: citations, claims and retractions

Personas in action: ethnography in an interaction design team

Blomquist, Å., & Arvola, M. (2002) · Proceedings of the second Nordic conference on Human-computer interaction

Persona Design and ApplicationsUsability and User Interface Design

Cited by 226

The performance of touch screen soft buttons

Lee, S., & Zhai, S. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 226

Ethics of instantaneous contact tracing using mobile phone apps in the control of the COVID-19 pandemic

Parker, M. J., Fraser, C., Abeler-Dörner, L., & Bonsall, D. (2020) · Journal of Medical Ethics

COVID-19 Digital Contact TracingMobile Health and mHealth Applications

Cited by 226

Learning to Track with Object Permanence

Tokmakov, P., Li, J., Burgard, W., & Gaidon, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 226

Mobile edge computing: progress and challenges

Li, H., Shou, G., Hu, Y., & Guo, Z. (2016) · 2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 226

An image encryption method based on chaos system and AES algorithm

Arab, A., Rostami, M. J., & Ghavami, B. (2019) · The Journal of Supercomputing

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 226

An object-oriented representation for efficient reinforcement learning

Diuk, C., Cohen, A., & Littman, M. L. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 226

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Mandlekar, A., Nasiriany, S., Wen, B., Akinola, I., Narang, Y., Fan, L., Zhu, Y., & Fox, D. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 226

Human Skin Detection Using RGB, HSV and YCbCr Color Models

Kolkur, S., Kalbande, D., Shimpi, P., Bapat, C., & Jatakia, J. (2017) · Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Face and Expression RecognitionFace recognition and analysis

Cited by 226

Computational Capabilities of Graph Neural Networks

Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., & Monfardini, G. (2009) · IEEE Transactions on Neural Networks

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 225

Speech synthesis from ECoG using densely connected 3D convolutional neural networks

Angrick, M., Herff, C., Mugler, E., Tate, M. C., Slutzky, M. W., Krusienski, D. J., & Schultz, T. (2019) · Journal of Neural Engineering

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 225

Gromov‐Hausdorff Stable Signatures for Shapes using Persistence

Chazal, F., Cohen‐Steiner, D., Guibas, L. J., Mémoli, F., & Oudot, S. Y. (2009) · Computer Graphics Forum

Topological and Geometric Data AnalysisGeometric Analysis and Curvature Flows

Cited by 225

Experience-based navigation for long-term localisation

Churchill, W., & Newman, P. (2013) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 225

Visualizing out-of-body experience in the brain

De Ridder, D., Van Laere, K., Dupont, P., Menovsky, T., & Van de Heyning, P. (2007) · New England Journal of Medicine

Virtual Reality Applications and ImpactsPsychosomatic Disorders and Their Treatments

Cited by 225

ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

Zhang, Q., Zhao, S., Luo, Y., Zhang, D., Huang, N., & Han, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image Fusion Techniques

Cited by 225

Reinforcement learning for clinical decision support in critical care: comprehensive review

Liu, S., See, K. C., Ngiam, K. Y., Celi, L. A., Sun, X., & Feng, M. (2020) · Journal of Medical Internet Research

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 225

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Chugh, K., Gupta, P., Dhall, A., & Subramanian, R. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 225

A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses

Newaz, A. I., Sikder, A. K., Rahman, M. A., & Uluagac, A. S. (2021) · ACM Transactions on Computing for Healthcare

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 225

Parallel random number generation for VLSI systems using cellular automata

Hortensius, P. D., McLeod, R. D., & Card, H. C. (1989) · IEEE Transactions on Computers

Cellular Automata and ApplicationsVLSI and Analog Circuit Testing

Cited by 225

The mechanics of collaboration: developing low cost usability evaluation methods for shared workspaces

Gutwin, C., & Greenberg, S. (2002) · Proceedings IEEE 9th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE 2000)

Usability and User Interface DesignTeam Dynamics and Performance

Cited by 225

A quantum deep convolutional neural network for image recognition

Li, Y., Zhou, R.-G., Xu, R., Luo, J., & Hu, W. (2020) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureAdvanced Neural Network Applications

Cited by 225

Self-Supervised Representation Learning by Rotation Feature Decoupling

Feng, Z., Xu, C., & Tao, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 225

A resource for cell line authentication, annotation and quality control

Yu, M., Selvaraj, S. K., Liang-Chu, M. M. Y., Aghajani, S., Busse, M., Yuan, J., Lee, G., Peale, F., Klijn, C., Bourgon, R., et al. (2015) · Nature

Research Data Management PracticesViral Infectious Diseases and Gene Expression in Insects

Cited by 225

Tell me more?: the effects of mental model soundness on personalizing an intelligent agent

Kulesza, T., Stumpf, S., Burnett, M., & Kwan, I. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Recommender Systems and TechniquesUsability and User Interface Design

Cited by 225