Check computer science papers: citations, claims and retractions

An empirical assessment of adaptation techniques

Tsandilas, T., & schraefel, M. C. (2005) · CHI '05 Extended Abstracts on Human Factors in Computing Systems

Usability and User Interface DesignRecommender Systems and Techniques

Cited by 64

Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems

Huang, J., Oosterhuis, H., de Rijke, M., & van Hoof, H. (2020) · Fourteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 64

A large-scale longitudinal study of flaky tests

Lam, W., Winter, S., Wei, A., Xie, T., Marinov, D., & Bell, J. (2020) · Proceedings of the ACM on Programming Languages

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 64

Mitigating Language-Dependent Ethnic Bias in BERT

Ahn, J., & Oh, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AITopic Modeling

Cited by 64

Unified Pragmatic Models for Generating and Following Instructions

Fried, D., Andreas, J., & Klein, D. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 64

SkCoder: A Sketch-based Approach for Automatic Code Generation

Li, J., Li, Y., Li, G., Jin, Z., Hao, Y., & Hu, X. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Engineering ResearchTopic Modeling

Cited by 64

Management of Networks with Constrained Devices: Use Cases

Romascanu, D., Schoenwaelder, J., & Sehgal, A. (2015)

Mobile Agent-Based Network ManagementSoftware-Defined Networks and 5G

Cited by 64

Atlas-based automatic mouse brain image segmentation revisited: model complexity vs. image registration

Bai, J., Trinh, T. L. H., Chuang, K.-H., & Qiu, A. (2012) · Magnetic Resonance Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 64

“It’s the only thing I can trust”: Envisioning Large Language Model Use by Autistic Workers for Communication Assistance

Jang, J., Moharana, S., Carrington, P., & Begel, A. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AISocial Robot Interaction and HRI

Cited by 64

A Stepwise Domain Adaptive Segmentation Network with Covariate Shift Alleviation for Remote Sensing Imagery

Li, J., Zi, S., Song, R., Li, Y., Hu, Y., & Du, Q. (2022) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationDomain Adaptation and Few-Shot Learning

Cited by 64

Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities

Khare, A., Dutta, S., Li, Z., Solko-Breslin, A., Alur, R., & Naik, M. (2023) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 64

Machine Learning and Imaging Informatics in Oncology

Tseng, H.-H., Wei, L., Cui, S., Luo, Y., Ten Haken, R. K., & El Naqa, I. (2020) · Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 64

Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology

Turner, O. C., Aeffner, F., Bangari, D. S., High, W., Knight, B., Forest, T., Cossic, B., Himmel, L. E., Rudmann, D. G., Bawa, B., et al. (2020) · Toxicologic Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 64

Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future

Bajracharya, R., Shrestha, R., & Jung, H. (2020) · Sensors

Wireless Networks and ProtocolsTelecommunications and Broadcasting Technologies

Cited by 64

Quantum Search Algorithms, Quantum Wireless, and a Low-Complexity Maximum Likelihood Iterative Quantum Multi-User Detector Design

Botsinis, P., Ng, S. X., & Hanzo, L. (2013) · IEEE Access

Quantum Computing Algorithms and ArchitectureWireless Communication Networks Research

Cited by 64

A Social Informatics Analysis of Refugee Mobile Phone Use: A Case Study of Za’atari Syrian Refugee Camp

Maitland, C., & Xu, Y. (2015) · SSRN Electronic Journal

ICT in Developing CommunitiesEducation and experiences of immigrants and refugees

Cited by 64

Scaling Data Generation in Vision-and-Language Navigation

Wang, Z., Li, J., Hong, Y., Wang, Y., Wu, Q., Bansal, M., Gould, S., Tan, H., & Qiao, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 64

Plenoptic cameras in real-time robotics

Dong, F., Ieng, S.-H., Savatier, X., Etienne-Cummings, R., & Benosman, R. (2013) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 64

Continuous-Variable Instantaneous Quantum Computing is Hard to Sample

Douce, T., Markham, D., Kashefi, E., Diamanti, E., Coudreau, T., Milman, P., van Loock, P., & Ferrini, G. (2017) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 64

Training-free Transformer Architecture Search

Zhou, Q., Sheng, K., Zheng, X., Li, K., Sun, X., Tian, Y., Chen, J., & Ji, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 64

Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks

Fernandes, M. S., Cordeiro, W., & Recamonde-Mendoza, M. (2021) · Computers in Biology and Medicine

Music and Audio ProcessingMosquito-borne diseases and control

Cited by 64

Do not rug on me: Leveraging machine learning techniques for automated scam detection

Mazorra, B., Adan, V., & Daza, V. (2022) · Mathematics

Blockchain Technology Applications and SecuritySpam and Phishing Detection

Cited by 64

Bot-Adversarial Dialogue for Safe Conversational Agents

Xu, J., Ju, D., Li, M., Boureau, Y.-L., Weston, J., & Dinan, E. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Speech and dialogue systemsAdversarial Robustness in Machine Learning

Cited by 64

Significant Productivity Gains through Programming with Large Language Models

Weber, T., Brandmaier, M., Schmidt, A., & Mayer, S. (2024) · Proceedings of the ACM on Human-Computer Interaction

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 64