Check computer science papers: citations, claims and retractions

HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms

Hill, P. R., Kumar, A., Temimi, M., & Bull, D. R. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote-Sensing Image ClassificationMarine Toxins and Detection Methods

Cited by 143

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Yu, F., Gu, J., Li, Z., Hu, J., Kong, X., Wang, X., He, J., Qiao, Y., & Dong, C. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 143

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support

Kawakami, A., Sivaraman, V., Cheng, H.-F., Stapleton, L., Cheng, Y., Qing, D., Perer, A., Wu, Z. S., Zhu, H., & Holstein, K. (2022) · CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 143

Hybrid statistical-machine learning for real-time anomaly detection in industrial cyber–physical systems

Hao, W., Yang, T., & Yang, Q. (2023) · IEEE Transactions on Automation Science and Engineering

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 143

Ensemble Methods for App Review Classification: An Approach for Software Evolution (N)

Guzman, E., El-Haliby, M., & Bruegge, B. (2015) · 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchText and Document Classification Technologies

Cited by 143

FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Dao, T. (2023) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 143

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Zheng, B., Hou, Y., Lu, H., Chen, Y., Zhao, W. X., Chen, M., & Wen, J.-R. (2024) · 2024 IEEE 40th International Conference on Data Engineering (ICDE)

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 143

Motion Planning for Mobile Robots—Focusing on Deep Reinforcement Learning: A Systematic Review

Sun, H., Zhang, W., Yu, R., & Zhang, Y. (2021) · IEEE Access

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 143

Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies

Tesauro, G. (2007) · IEEE Internet Computing

Advanced Software Engineering MethodologiesReinforcement Learning in Robotics

Cited by 143

Mixtral of Experts

Jiang, A. Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., Chaplot, D. S., Casas, D. D. L., Hanna, E. B., Bressand, F., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 143

Prompt Engineering Paradigms for Medical Applications: Scoping Review

Zaghir, J., Naguib, M., Bjelogrlic, M., Névéol, A., Tannier, X., & Lovis, C. (2024) · Journal of Medical Internet Research

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 143

Usability Principles for Augmented Reality Applications in a Smartphone Environment

Ko, S. M., Chang, W. S., & Ji, Y. G. (2013) · International Journal of Human-Computer Interaction

Usability and User Interface DesignAugmented Reality Applications

Cited by 143

Agnostic Learning of Monomials by Halfspaces Is Hard

Feldman, V., Guruswami, V., Raghavendra, P., & Wu, Y. (2012) · SIAM Journal on Computing

Complexity and Algorithms in GraphsMachine Learning and Algorithms

Cited by 143

Large Language Models Struggle to Learn Long-Tail Knowledge

Kandpal, N., Deng, H., Roberts, A., Wallace, E., & Raffel, C. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 143

Algorithm 358: singular value decomposition of a complex matrix [F1, 4, 5]

Businger, P. A., & Golub, G. H. (1969) · Communications of the ACM

Matrix Theory and AlgorithmsAdvanced Combinatorial Mathematics

Cited by 143

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Ovadia, O., Brief, M., Mishaeli, M., & Elisha, O. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 143

A systematic review of research on speech-recognition chatbots for language learning: Implications for future directions in the era of large language models

Jeon, J., Lee, S., & Choi, S. (2024) · Interactive Learning Environments

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 143

Recent patient health monitoring platforms incorporating internet of things-enabled smart devices

Kang, M., Park, E., Cho, B. H., & Lee, K.-S. (2018) · International Neurourology Journal

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 143

Crafting GBD-Net for Object Detection

Zeng, X., Ouyang, W., Yan, J., Li, H., Xiao, T., Wang, K., Liu, Y., Zhou, Y., Yang, B., Wang, Z., et al. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 142

Interactive Object Segmentation With Inside-Outside Guidance

Zhang, S., Liew, J. H., Wei, Y., Wei, S., & Zhao, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 142

Beyond neural scaling laws: beating power law scaling via data pruning

Sorscher, B., Geirhos, R., Shekhar, S., Ganguli, S., & Morcos, A. S. (2022) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 142

The cyclical ethical effects of using artificial intelligence in education

Dieterle, E., Dede, C., & Walker, M. (2024) · AI & SOCIETY

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 142

A Survey of Virtual Machine Placement Techniques in a Cloud Data Center

Usmani, Z., & Singh, S. (2016) · Procedia Computer Science

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 142

Towards Verified Artificial Intelligence

Seshia, S. A., Sadigh, D., & Sastry, S. S. (2016) · arXiv

Formal Methods in VerificationSafety Systems Engineering in Autonomy

Cited by 142