Check computer science papers: citations, claims and retractions

Automated clustering and program repair for introductory programming assignments

Gulwani, S., Radiček, I., & Zuleger, F. (2018) · ACM SIGPLAN Notices

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 82

Cost of Universality: A Comparative Study of the Overhead of State Distillation and Code Switching with Color Codes

Beverland, M. E., Kubica, A., & Svore, K. M. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 82

Incremental Learning of NCM Forests for Large-Scale Image Classification

Ristin, M., Guillaumin, M., Gall, J., & Van Gool, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 82

Learning Multi-Object Tracking and Segmentation From Automatic Annotations

Porzi, L., Hofinger, M., Ruiz, I., Serrat, J., Bulo, S. R., & Kontschieder, P. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 82

Design and Evaluation of an Augmented Reality Game for Cybersecurity Awareness (CybAR)

Alqahtani, H., & Kavakli-Thorne, M. (2020) · Information

Information and Cyber SecurityEducational Games and Gamification

Cited by 82

A translational perspective towards clinical AI fairness

Liu, M., Ning, Y., Teixayavong, S., Mertens, M., Xu, J., Ting, D. S. W., Cheng, L. T.-E., Ong, J. C. L., Teo, Z. L., Tan, T. F., et al. (2023) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 82

A deceptive step towards quantum speedup detection

Mandrà, S., & Katzgraber, H. G. (2018) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 82

Meta reinforcement learning as task inference

Humplik, J., Galashov, A., Hasenclever, L., Ortega, P. A., Teh, Y. W., & Heess, N. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 82

Generative Language Modeling for Automated Theorem Proving

Polu, S., & Sutskever, I. (2020) · arXiv

Logic, programming, and type systemsMathematics, Computing, and Information Processing

Cited by 82

Ethical Decision Making in Autonomous Vehicles: The AV Ethics Project

Evans, K., de Moura, N., Chauvier, S., Chatila, R., & Dogan, E. (2020) · Science and Engineering Ethics

Ethics and Social Impacts of AIAutonomous Vehicle Technology and Safety

Cited by 82

When Fitness Meets Social Networks: Investigating Fitness Tracking and Social Practices on WeRun

Gui, X., Chen, Y., Caldeira, C., Xiao, D., & Chen, Y. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 82

HOP: History-and-Order Aware Pretraining for Vision-and-Language Navigation

Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., & Wu, Q. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 82

Online human activity recognition using low-power wearable devices

Bhat, G., Deb, R., Chaurasia, V. V., Shill, H., & Ogras, U. Y. (2018) · Proceedings of the International Conference on Computer-Aided Design

Context-Aware Activity Recognition SystemsAdvanced Sensor and Energy Harvesting Materials

Cited by 82

Benchmarking gate-based quantum computers

Michielsen, K., Nocon, M., Willsch, D., Jin, F., Lippert, T., & De Raedt, H. (2017) · Computer Physics Communications

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 82

Adapting acoustic and lexical models to dysarthric speech

Mengistu, K. T., & Rudzicz, F. (2011) · 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 82

Explaining Machine Learning Models for Clinical Gait Analysis

Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breiteneder, C., Schöllhorn, W. I., & Zeppelzauer, M. (2022) · ACM Transactions on Computing for Healthcare

Explainable Artificial Intelligence (XAI)Gait Recognition and Analysis

Cited by 82

Motion capture sensing techniques used in human upper limb motion: a review

Yahya, M., Shah, J. A., Kadir, K. A., Yusof, Z. M., Khan, S., & Warsi, A. (2019) · Sensor Review

Human Motion and AnimationHand Gesture Recognition Systems

Cited by 82

CharacterMeet: Supporting Creative Writers' Entire Story Character Construction Processes Through Conversation with LLM-Powered Chatbot Avatars

Qin, H. X., Jin, S., Gao, Z., Fan, M., & Hui, P. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Digital Media and Visual ArtInnovative Human-Technology Interaction

Cited by 82

When "a helpful assistant" is not really helpful: Personas in system prompts do not improve performances of large language models

Zheng, M., Pei, J., Logeswaran, L., Lee, M., & Jurgens, D. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 82

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room

Glicksberg, B. S., Timsina, P., Patel, D., Sawant, A., Vaid, A., Raut, G., Charney, A. W., Apakama, D., Carr, B. G., Freeman, R., et al. (2024) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 82

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing

Wang, Q., Huang, K., Chandak, P., Zitnik, M., & Gehlenborg, N. (2023) · IEEE Transactions on Visualization and Computer Graphics

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 82

Strategies for Heading Off is Project Failure

Cule, P., Schmidt, R., Lyytinen, K., & Keil, M. (2000) · Information Systems Management

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 82

Digital Health and Inequalities in Access to Health Services in Bangladesh: Mixed Methods Study

Ahmed, T., Rizvi, S. J. R., Rasheed, S., Iqbal, M., Bhuiya, A., Standing, H., Bloom, G., & Waldman, L. (2020) · JMIR mHealth and uHealth

ICT in Developing CommunitiesHealth Literacy and Information Accessibility

Cited by 82

Popularity Bias in Dynamic Recommendation

Zhu, Z., He, Y., Zhao, X., & Caverlee, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 82