Check computer science papers: citations, claims and retractions

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

Fu, Y., Ou, L., Chen, M., Wan, Y., Peng, H., & Khot, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 109

Use of Mobile Learning by Resident Physicians in Botswana

Chang, A. Y., Ghose, S., Littman-Quinn, R., Anolik, R. B., Kyer, A., Mazhani, L., Seymour, A. K., & Kovarik, C. L. (2012) · Telemedicine and e-Health

Mobile Learning in EducationInnovations in Medical Education

Cited by 109

Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation

Zhao, L., Lu, J., Xu, Y., Cheng, Z., Guo, D., Niu, Y., & Fang, X. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 109

RADiT: Resource Allocation in Digital Twin-Driven UAV-Aided Internet of Vehicle Networks

Hazarika, B., Singh, K., Li, C.-P., Schmeink, A., & Tsang, K. F. (2023) · IEEE Journal on Selected Areas in Communications

IoT and Edge/Fog ComputingUAV Applications and Optimization

Cited by 109

A survey of multimodal deep generative models

Suzuki, M., & Matsuo, Y. (2022) · Advanced Robotics

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 109

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?

Savelka, J., Agarwal, A., Bogart, C., Song, Y., & Sakr, M. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 109

Relationship between quantum walks and relativistic quantum mechanics

Chandrashekar, C. M., Banerjee, S., & Srikanth, R. (2010) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 109

Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19

Duckworth, C., Chmiel, F. P., Burns, D. K., Zlatev, Z. D., White, N. M., Daniels, T. W. V., Kiuber, M., & Boniface, M. J. (2021) · Scientific Reports

Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 109

Visual Reasoning Strategies for Effect Size Judgments and Decisions

Kale, A., Kay, M., & Hullman, J. (2021) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 109

In-Memory Data Parallel Processor

Fujiki, D., Mahlke, S., & Das, R. (2018) · Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems

Parallel Computing and Optimization TechniquesAdvanced Memory and Neural Computing

Cited by 109

Design and evaluation of learning algorithms for dynamic resource management in virtual networks

Mijumbi, R., Gorricho, J.-L., Serrat, J., Claeys, M., De Turck, F., & Latre, S. (2014) · 2014 IEEE Network Operations and Management Symposium (NOMS)

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 109

Machine Learning on Mainstream Microcontrollers

Sakr, F., Bellotti, F., Berta, R., & De Gloria, A. (2020) · Sensors

IoT and Edge/Fog ComputingEmbedded Systems and FPGA Design

Cited by 109

Larger language models do in-context learning differently

Wei, J., Wei, J., Tay, Y., Tran, D., Webson, A., Lu, Y., Chen, X., Liu, H., Huang, D., Zhou, D., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 109

FluentNet: End-to-End Detection of Stuttered Speech Disfluencies With Deep Learning

Kourkounakis, T., Hajavi, A., & Etemad, A. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisStuttering Research and Treatment

Cited by 109

The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches

Fan, G., Liu, D., Zhang, R., & Pan, L. (2025) · International Journal of STEM Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 109

Demystifying Prompts in Language Models via Perplexity Estimation

Gonen, H., Iyer, S., Blevins, T., Smith, N., & Zettlemoyer, L. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 109

Improved RawNet with Feature Map Scaling for Text-Independent Speaker Verification Using Raw Waveforms

Jung, J.-W., Kim, S.-B., Shim, H.-J., Kim, J.-H., & Yu, H.-J. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 109

Designing a feature selection method based on explainable artificial intelligence

Zacharias, J., von Zahn, M., Chen, J., & Hinz, O. (2022) · Electronic Markets

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 109

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

Zhang, J., Tai, L., Yun, P., Xiong, Y., Liu, M., Boedecker, J., & Burgard, W. (2019) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 109

Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks

Bradshaw, J., Matthews, A. G. D. G., & Ghahramani, Z. (2017) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 109

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation

Yu, B., Zhou, L., Wang, L., Fripp, J., & Bourgeat, P. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 109

TALL: Thumbnail Layout for Deepfake Video Detection

Xu, Y., Liang, J., Jia, G., Yang, Z., Zhang, Y., & He, R. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 109

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

DeepSeek-AI, Liu, A., Feng, B., Wang, B., Wang, B., Liu, B., Zhao, C., Dengr, C., Ruan, C., Dai, D., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 109

Virtual reality in the assessment, understanding, and treatment of mental health disorders

Riva, G., & Serino, S. (2020) · Journal of Clinical Medicine

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 109