Check computer science papers: citations, claims and retractions

Feature selection for wearable smartphone-based human activity recognition with able bodied, elderly, and stroke patients

Capela, N. A., Lemaire, E. D., & Baddour, N. (2015) · PLoS ONE

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 197

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Ding, C., Pang, G., & Shen, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 197

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

Min, S., Zhong, V., Zettlemoyer, L., & Hajishirzi, H. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 197

QFLan: A Tool for the Quantitative Analysis of Highly Reconfigurable Systems

Vandin, A., ter Beek, M. H., Legay, A., & Lluch Lafuente, A. (2018) · EasyChair Preprints

Advanced Software Engineering MethodologiesFormal Methods in Verification

Cited by 196

Parallel network simulations with NEURON

Migliore, M., Cannia, C., Lytton, W. W., Markram, H., & Hines, M. L. (2006) · Journal of Computational Neuroscience

Parallel Computing and Optimization TechniquesNeural dynamics and brain function

Cited by 196

A preliminary poetics for interactive drama and games

Mateas, M. (2001) · Digital Creativity

Artificial Intelligence in GamesNarrative Theory and Analysis

Cited by 196

Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors

Moya Rueda, F., Grzeszick, R., Fink, G. A., Feldhorst, S., & Ten Hompel, M. (2018) · Informatics

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 196

Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis

Lee, J., Sun, J., Wang, F., Wang, S., Jun, C.-H., & Jiang, X. (2018) · JMIR Medical Informatics

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 196

Medchain: a design of blockchain-based system for medical records access and permissions management

Daraghmi, E.-Y., Daraghmi, Y.-A., & Yuan, S.-M. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 196

Wireless sensor networks in intelligent transportation systems

Tubaishat, M., Zhuang, P., Qi, Q., & Shang, Y. (2009) · Wireless Communications and Mobile Computing

Energy Efficient Wireless Sensor NetworksTraffic control and management

Cited by 196

Artificial Intelligence Security: Threats and Countermeasures

Hu, Y., Kuang, W., Qin, Z., Li, K., Zhang, J., Gao, Y., Li, W., & Li, K. (2023) · ACM Computing Surveys

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 196

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers

Prather, J., Reeves, B. N., Leinonen, J., MacNeil, S., Randrianasolo, A. S., Becker, B. A., Kimmel, B., Wright, J., & Briggs, B. (2024) · Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 196

Old Optimizer, New Norm: An Anthology

Bernstein, J., & Newhouse, L. (2024) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 196

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation

Peng, X., Usman, B., Kaushik, N., Wang, D., Hoffman, J., & Saenko, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 196

Challenges and Applications of Large Language Models

Kaddour, J., Harris, J., Mozes, M., Bradley, H., Raileanu, R., & McHardy, R. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 196

A review of some techniques for inclusion of domain-knowledge into deep neural networks

Dash, T., Chitlangia, S., Ahuja, A., & Srinivasan, A. (2022) · Scientific Reports

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 196

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Zhang, J., Bao, K., Zhang, Y., Wang, W., Feng, F., & He, X. (2023) · arXiv

Ethics and Social Impacts of AIRecommender Systems and Techniques

Cited by 196

Combining two-view constraints for motion estimation

Govindu, V. M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001

Advanced Vision and ImagingImage and Video Stabilization

Cited by 196

Training for physical tasks in virtual environments: Tai Chi

Chua, P. T., Crivella, R., Daly, B., Hu, N., Schaaf, R., Ventura, D., Camill, T., Hodgins, J., & Pausch, R. (2003) · IEEE Virtual Reality, 2003. Proceedings.

Virtual Reality Applications and ImpactsInteractive and Immersive Displays

Cited by 196

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Cobbe, K., Hesse, C., Hilton, J., & Schulman, J. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 196

What does it mean to 'solve' the problem of discrimination in hiring?: social, technical and legal perspectives from the UK on automated hiring systems

Sánchez-Monedero, J., Dencik, L., & Edwards, L. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 196

Multi-Modal Graph Learning for Disease Prediction

Zheng, S., Zhu, Z., Liu, Z., Guo, Z., Liu, Y., Yang, Y., & Zhao, Y. (2022) · IEEE Transactions on Medical Imaging

Advanced Graph Neural NetworksMachine Learning in Healthcare

Cited by 196

SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Wang, Y., Yang, W., Chen, X., Wang, Y., Guo, L., Chau, L.-P., Liu, Z., Qiao, Y., Kot, A. C., & Wen, B. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 196

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Lin, Y., Zhang, T., Sun, P., Li, Z., & Zhou, S. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 196