Check computer science papers: citations, claims and retractions

Time2Vec: Learning a Vector Representation of Time

Kazemi, S. M., Goel, R., Eghbali, S., Ramanan, J., Sahota, J., Thakur, S., Wu, S., Smyth, C., Poupart, P., & Brubaker, M. (2019) · arXiv

Time Series Analysis and ForecastingNeural Networks and Applications

Cited by 206

Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability

Akinrinola, O., Okoye, C. C., Ofodile, O. C., & Ugochukwu, C. E. (2024) · GSC Advanced Research and Reviews

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 206

zkCrowd: a hybrid blockchain-based crowdsourcing platform

Zhu, S., Cai, Z., Hu, H., Li, Y., & Li, W. (2020) · IEEE Transactions on Industrial Informatics

Blockchain Technology Applications and SecurityMobile Crowdsensing and Crowdsourcing

Cited by 206

Inside risks: the uses and abuses of biometrics

Schneier, B. (1999) · Communications of the ACM

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 206

Recovering Occlusion Boundaries from a Single Image

Hoiem, D., Stein, A. N., Efros, A. A., & Hebert, M. (2007) · 2007 IEEE 11th International Conference on Computer Vision

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 206

Extend Cloud to Edge with KubeEdge

Xiong, Y., Sun, Y., Xing, L., & Huang, Y. (2018) · 2018 IEEE/ACM Symposium on Edge Computing (SEC)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 206

Reliability and validity of data obtained from alcohol, cannabis, and gambling populations on Amazon’s Mechanical Turk.

Kim, H. S., & Hodgins, D. C. (2017) · Psychology of Addictive Behaviors

Mobile Crowdsensing and CrowdsourcingSubstance Abuse Treatment and Outcomes

Cited by 206

Commenting on YouTube videos: From guatemalan rock to El Big Bang

Thelwall, M., Sud, P., & Vis, F. (2012) · Journal of the American Society for Information Science and Technology

Sentiment Analysis and Opinion MiningMedia and Digital Communication

Cited by 206

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

Amini, A., Soleimany, A. P., Schwarting, W., Bhatia, S. N., & Rus, D. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIFace recognition and analysis

Cited by 206

FTRANS: energy-efficient acceleration of transformers using FPGA

Li, B., Pandey, S., Fang, H., Lyv, Y., Li, J., Chen, J., Xie, M., Wan, L., Liu, H., & Ding, C. (2020) · Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 206

Digital Identities and Verifiable Credentials

Sedlmeir, J., Smethurst, R., Rieger, A., & Fridgen, G. (2021) · Business & Information Systems Engineering

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 206

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Kull, M., Perello-Nieto, M., Kängsepp, M., Filho, T. S., Song, H., & Flach, P. (2019) · arXiv

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 206

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation

Li, M., Lin, B., Chen, Z., Lin, H., Liang, X., & Chang, X. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 206

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

Liang, J. T., Yang, C., & Myers, B. A. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 206

Measuring Robustness to Natural Distribution Shifts in Image Classification

Taori, R., Dave, A., Shankar, V., Carlini, N., Recht, B., & Schmidt, L. (2020) · arXiv

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 206

Analysis of text entry performance metrics

Arif, A. S., & Stuerzlinger, W. (2009) · 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH)

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 206

MLPerf Training Benchmark

Mattson, P., Cheng, C., Coleman, C., Diamos, G., Micikevicius, P., Patterson, D., Tang, H., Wei, G.-Y., Bailis, P., Bittorf, V., et al. (2019) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 206

IEEE 802.11be Extremely High Throughput: The Next Generation of Wi-Fi Technology Beyond 802.11ax

Lopez-Perez, D., Garcia-Rodriguez, A., Galati-Giordano, L., Kasslin, M., & Doppler, K. (2019) · IEEE Communications Magazine

Wireless Networks and ProtocolsMillimeter-Wave Propagation and Modeling

Cited by 206

Realization of quantum process tomography in NMR

Childs, A. M., Chuang, I. L., & Leung, D. W. (2001) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 205

Go-Explore: a New Approach for Hard-Exploration Problems

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 205

Single View Stereo Matching

Luo, Y., Ren, J., Lin, M., Pang, J., Sun, W., Li, H., & Lin, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 205

Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving

Wu, J., Huang, Z., Hu, Z., & Lv, C. (2023) · Engineering

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 205

seL4: From General Purpose to a Proof of Information Flow Enforcement

Murray, T., Matichuk, D., Brassil, M., Gammie, P., Bourke, T., Seefried, S., Lewis, C., Gao, X., & Klein, G. (2013) · 2013 IEEE Symposium on Security and Privacy

Security and Verification in ComputingLogic, programming, and type systems

Cited by 205

Compressive Transformers for Long-Range Sequence Modelling

Rae, J. W., Potapenko, A., Jayakumar, S. M., & Lillicrap, T. P. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 205