Check computer science papers: citations, claims and retractions

Pose-Dependent Weights and Domain Randomization for Fully Automatic X-Ray to CT Registration

Grimm, M., Esteban, J., Unberath, M., & Navab, N. (2021) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 34

Log My Dog: Perceived Impact of Dog Activity Tracking

Zamansky, A., van der Linden, D., Hadar, I., & Bleuer-Elsner, S. (2019) · Computer

Innovative Human-Technology InteractionContext-Aware Activity Recognition Systems

Cited by 34

Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary

Rajotte, J.-F., Mukherjee, S., Robinson, C., Ortiz, A., West, C., Ferres, J. M. L., & Ng, R. T. (2021) · Proceedings of the Conference on Information Technology for Social Good

Privacy-Preserving Technologies in DataGenerative Adversarial Networks and Image Synthesis

Cited by 34

Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI

Meyer, S., Elsweiler, D., Ludwig, B., Fernandez-Pichel, M., & Losada, D. E. (2022) · Proceedings of the 4th Conference on Conversational User Interfaces

Speech and dialogue systemsAI in Service Interactions

Cited by 34

Sense and Learn: Self-Supervision for Omnipresent Sensors

Saeed, A., Ungureanu, V., & Gfeller, B. (2020) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 34

Navigating to Objects Specified by Images

Krantz, J., Gervet, T., Yadav, K., Wang, A., Paxton, C., Mottaghi, R., Batra, D., Malik, J., Lee, S., & Singh Chaplot, D. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 34

Self-organizing tree models for image synthesis

Palubicki, W., Horel, K., Longay, S., Runions, A., Lane, B., Měch, R., & Prusinkiewicz, P. (2009) · ACM SIGGRAPH 2009 papers

Computer Graphics and Visualization TechniquesGreenhouse Technology and Climate Control

Cited by 34

Towards a Competence Model for the Novice Programmer Using Bloom's Revised Taxonomy - An Empirical Approach

Kiesler, N. (2020) · Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

Teaching and Learning ProgrammingEducational Assessment and Pedagogy

Cited by 34

A Systematic Review of Machine Learning DevOps

Mboweni, T., Masombuka, T., & Dongmo, C. (2022) · 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 34

A0C: Alpha Zero in Continuous Action Space

Moerland, T. M., Broekens, J., Plaat, A., & Jonker, C. M. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 34

Advancing Development of Intercultural Competence through Supporting Predictions in Narrative Video

Ogan, A., Aleven, V., & Jones, C. (2009) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningVisual and Cognitive Learning Processes

Cited by 34

DeAR: Debiasing Vision-Language Models with Additive Residuals

Seth, A., Hemani, M., & Agarwal, C. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Ethics and Social Impacts of AIMultimodal Machine Learning Applications

Cited by 34

Sense and Learn: Self-supervision for omnipresent sensors

Saeed, A., Ungureanu, V., & Gfeller, B. (2021) · Machine Learning with Applications

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 34

On the Evolutionary Nature of Architectural Violations

Brunet, J., Bittencourt, R. A., Serey, D., & Figueiredo, J. (2012) · 2012 19th Working Conference on Reverse Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 34

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

Pătrăucean, V., Smaira, L., Gupta, A., Continente, A. R., Markeeva, L., Banarse, D., Koppula, S., Heyward, J., Malinowski, M., Yang, Y., et al. (2023) · arXiv

Image and Video Quality AssessmentMultimodal Machine Learning Applications

Cited by 34

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Huang, D., Zhang, J. M., Luck, M., Bu, Q., Qing, Y., & Cui, H. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 34

Strategy Uptake in Writing Pal: Adaptive Feedback and Instruction

Butterfuss, R., Roscoe, R. D., Allen, L. K., McCarthy, K. S., & McNamara, D. S. (2022) · Journal of Educational Computing Research

Intelligent Tutoring Systems and Adaptive LearningWriting and Handwriting Education

Cited by 34

Large Language Models: Tools for New Environmental Decision-Making

Nie, Q., & Liu, T. (2025) · Journal of Environmental Management

Artificial Intelligence ApplicationsHydrological Forecasting Using AI

Cited by 34

Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary Remark

Reiss, M. V. (2023) · arXiv

Topic ModelingComputational and Text Analysis Methods

Cited by 34

A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback

Kulsum, U., Zhu, H., Xu, B., & d'Amorim, M. (2024) · Proceedings of the 1st ACM International Conference on AI-Powered Software

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 34

Analysis of Moral Judgment on Reddit

Botzer, N., Gu, S., & Weninger, T. (2023) · IEEE Transactions on Computational Social Systems

Hate Speech and Cyberbullying DetectionPsychology of Moral and Emotional Judgment

Cited by 34

A Strategy for Information Presentation in Spoken Dialog Systems

Demberg, V., Winterboer, A., & Moore, J. D. (2011) · Computational Linguistics

Speech and dialogue systemsAI in Service Interactions

Cited by 34

Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists

Thoral, P. J., Fornasa, M., de Bruin, D. P., Tonutti, M., Hovenkamp, H., Driessen, R. H., Girbes, A. R. J., Hoogendoorn, M., & Elbers, P. W. G. (2021) · Critical Care Explorations

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 34

Providing Cyber Security using Artificial Intelligence – A survey

B.S., S., S., N., Kashyap, N., & D.N., S. (2019) · 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 34