Check computer science papers: citations, claims and retractions

Target-Driven Structured Transformer Planner for Vision-Language Navigation

Zhao, Y., Chen, J., Gao, C., Wang, W., Yang, L., Ren, H., Xia, H., & Liu, S. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 54

Quantum natural gradient generalised to noisy and non-unitary circuits

Koczor, B., & Benjamin, S. C. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 54

Text Style Transfer: A Review and Experimental Evaluation

Hu, Z., Lee, R. K.-W., Aggarwal, C. C., & Zhang, A. (2022) · ACM SIGKDD Explorations Newsletter

Authorship Attribution and ProfilingTopic Modeling

Cited by 54

Visual-based obstacle detection and tracking, and conflict detection for small UAS sense and avoid

Opromolla, R., & Fasano, G. (2021) · Aerospace Science and Technology

Video Surveillance and Tracking MethodsAerospace Engineering and Control Systems

Cited by 54

Secure and Fast Image Encryption Algorithm Using Hyper-Chaos-Based Key Generator and Vector Operation

Ge, B., Chen, X., Chen, G., & Shen, Z. (2021) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 54

Projection Boxes: On-the-fly Reconfigurable Visualization for Live Programming

Lerner, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsTeaching and Learning Programming

Cited by 54

Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter

Wu, B., Liu, L., Yang, Y., Zheng, K., & Wang, X. (2020) · IEEE Access

Spam and Phishing DetectionImbalanced Data Classification Techniques

Cited by 54

Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

Zhang, Z., Dong, Z., Shi, Y., Price, T., Matsuda, N., & Xu, D. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 54

Worse Than Spam: Issues In Sampling Software Developers

Baltes, S., & Diehl, S. (2016) · Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Software Engineering Techniques and PracticesSurvey Methodology and Nonresponse

Cited by 54

HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance

He, C., Li, K., Xu, G., Yan, J., Tang, L., Zhang, Y., Wang, Y., & Li, X. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 54

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework

Yao, S., Zhao, Y., Shao, H., Zhang, C., Zhang, A., Hu, S., Liu, D., Liu, S., Su, L., & Abdelzaher, T. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 54

The impact of AI suggestions on radiologists' decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination

Rezazade Mehrizi, M. H., Mol, F., Peter, M., Ranschaert, E., Dos Santos, D. P., Shahidi, R., Fatehi, M., & Dratsch, T. (2023) · Scientific Reports

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 54

Automatic evaluation of open-ended questions for online learning. A systematic mapping

del Gobbo, E., Guarino, A., Cafarelli, B., Grilli, L., & Limone, P. (2023) · Studies in Educational Evaluation

Educational Technology and AssessmentOnline Learning and Analytics

Cited by 54

Quantum walks, quantum gates, and quantum computers

Hines, A. P., & Stamp, P. C. E. (2007) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 54

The new trends in adaptive educational hypermedia systems

Somyürek, S. (2015) · The International Review of Research in Open and Distributed Learning

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 54

Toward General Design Principles for Generative AI Applications

Weisz, J. D., Muller, M., He, J., & Houde, S. (2023) · arXiv

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 54

Lightweight and Resource-Constrained Learning Network for Face Recognition with Performance Optimization

Li, H.-C., Deng, Z.-Y., & Chiang, H.-H. (2020) · Sensors

Face recognition and analysisFace and Expression Recognition

Cited by 54

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals

Kawakami, A., Coston, A., Zhu, H., Heidari, H., & Holstein, K. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 54

RigMesh: automatic rigging for part-based shape modeling and deformation

Borosán, P., Jin, M., DeCarlo, D., Gingold, Y., & Nealen, A. (2012) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 54

Can We Edit Factual Knowledge by In-Context Learning?

Zheng, C., Li, L., Dong, Q., Fan, Y., Wu, Z., Xu, J., & Chang, B. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 54

Breathing and sense of self: Visuo–respiratory conflicts alter body self-consciousness

Adler, D., Herbelin, B., Similowski, T., & Blanke, O. (2014) · Respiratory Physiology & Neurobiology

Virtual Reality Applications and ImpactsPsychosomatic Disorders and Their Treatments

Cited by 54

Where is the Human?: Bridging the Gap Between AI and HCI

Inkpen, K., Chancellor, S., De Choudhury, M., Veale, M., & Baumer, E. P. S. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 54

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

Suresh, H., Gong, J. J., & Guttag, J. V. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 54

Virtual reality exposure therapy for fear of heights: clinicians’ attitudes become more positive after trying VRET

Rimer, E., Husby, L. V., & Solem, S. (2021) · Frontiers in Psychology

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 54