Check computer science papers: citations, claims and retractions

Zeno++: Robust Fully Asynchronous SGD

Xie, C., Koyejo, S., & Gupta, I. (2019) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 60

Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence

Swapna, M., Viswanadhula, U. M., Aluvalu, R., Vardharajan, V., & Kotecha, K. (2022) · Journal of Sensor and Actuator Networks

Internet of Things and AIArtificial Intelligence in Healthcare

Cited by 60

Beyond self-diagnosis: how a chatbot-based symptom checker should respond

You, Y., Tsai, C.-H., Li, Y., Ma, F., Heron, C., & Gui, X. (2023) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 60

Deep neural network for blind visual quality assessment of 4K content

Lu, W., Sun, W., Min, X., Zhu, W., Zhou, Q., He, J., Wang, Q., Zhang, Z., Wang, T., & Zhai, G. (2023) · IEEE Transactions on Broadcasting

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 60

Designing for dynamic family structures: divorced families and interactive systems

Odom, W., Zimmerman, J., & Forlizzi, J. (2010) · Proceedings of the 8th ACM Conference on Designing Interactive Systems

Innovative Human-Technology InteractionFamily Dynamics and Relationships

Cited by 60

Comparison and Evaluation of Sonification Strategies for Guidance Tasks

Parseihian, G., Gondre, C., Aramaki, M., Ystad, S., & Kronland-Martinet, R. (2016) · IEEE Transactions on Multimedia

Usability and User Interface DesignMusic Technology and Sound Studies

Cited by 60

SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-Supervised Skeleton Action Recognition

Wu, W., Hua, Y., Zheng, C., Wu, S., Chen, C., & Lu, A. (2023) · 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 60

Prompting is not a substitute for probability measurements in large language models

Hu, J., & Levy, R. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 60

Deepfakes: A new threat to image fabrication in scientific publications?

Wang, L., Zhou, L., Yang, W., & Yu, R. (2022) · Patterns

Digital Media Forensic DetectionAcademic integrity and plagiarism

Cited by 60

Effective Diversity in Population-Based Reinforcement Learning

Parker-Holder, J., Pacchiano, A., Choromanski, K., & Roberts, S. (2020) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 60

SILedger: A Blockchain and ABE-based Access Control for Applications in SDN-IoT Networks

Ren, W., Sun, Y., Luo, H., & Guizani, M. (2021) · IEEE Transactions on Network and Service Management

Blockchain Technology Applications and SecurityAccess Control and Trust

Cited by 60

CNOT circuit extraction for topologically-constrained quantum memories

Kissinger, A., & de Griend, A. M.-V. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 60

Eliciting prior information to enhance the predictive performance of bayesian graphical models

Madigan, D., Gavrin, J., & Raftery, A. E. (1995) · Communications in Statistics - Theory and Methods

Bayesian Modeling and Causal InferenceStatistical Methods and Bayesian Inference

Cited by 60

Multiblock ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers

Gambella, C., & Simonetto, A. (2020) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms Research

Cited by 60

Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images

Sock, J., Kasaei, S. H., Lopes, L. S., & Kim, T.-K. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

Advanced Vision and ImagingRobot Manipulation and Learning

Cited by 60

Do Neural Language Representations Learn Physical Commonsense?

Forbes, M., Holtzman, A., & Choi, Y. (2019) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 60

Systematizing Audit in Algorithmic Recruitment

Kazim, E., Koshiyama, A. S., Hilliard, A., & Polle, R. (2021) · Journal of Intelligence

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 60

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers

Sudharsan, B., Salerno, S., Nguyen, D.-D., Yahya, M., Wahid, A., Yadav, P., Breslin, J. G., & Ali, M. I. (2021) · 2021 IEEE 7th World Forum on Internet of Things (WF-IoT)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 60

A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images

Saltz, J., Sharma, A., Iyer, G., Bremer, E., Wang, F., Jasniewski, A., DiPrima, T., Almeida, J. S., Gao, Y., Zhao, T., et al. (2017) · Cancer Research

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 60

Digital Content Creation Tools: American University Teachers’ Perception

Antón-Sancho, Á., Vergara, D., Lamas-Álvarez, V. E., & Fernández-Arias, P. (2021) · Applied Sciences

Educational Technology and E-LearningTechnology-Enhanced Education Studies

Cited by 60

Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization

Bashmal, L., Bazi, Y., AlHichri, H., AlRahhal, M., Ammour, N., & Alajlan, N. (2018) · Remote Sensing

Domain Adaptation and Few-Shot LearningRemote-Sensing Image Classification

Cited by 60

Data Interpreter: An LLM Agent For Data Science

Hong, S., Lin, Y., Liu, B., Liu, B., Wu, B., Zhang, C., Wei, C., Li, D., Chen, J., Zhang, J., et al. (2024) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 60

Harnessing Stack Overflow for the IDE

Bacchelli, A., Ponzanelli, L., & Lanza, M. (2012) · 2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)

Software Engineering ResearchExpert finding and Q&A systems

Cited by 60

Advances and challenges in deformable image registration: From image fusion to complex motion modelling

Schnabel, J. A., Heinrich, M. P., Papież, B. W., & Brady, S. J. M. (2016) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 60