Check computer science papers: citations, claims and retractions

“Look! It’s a Computer Program! It’s an Algorithm! It’s AI!”: Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems?

Langer, M., Hunsicker, T., Feldkamp, T., König, C. J., & Grgić-Hlača, N. (2022) · CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 55

zkLLM: Zero Knowledge Proofs for Large Language Models

Sun, H., Li, J., & Zhang, H. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Cryptography and Data SecurityLaw, AI, and Intellectual Property

Cited by 55

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Wang, Q., Fu, Y., Cao, Y., Wang, S., Tian, Z., & Ding, L. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 55

BlockSee: Blockchain for IoT Video Surveillance in Smart Cities

Gallo, P., Pongnumkul, S., & Quoc Nguyen, U. (2018) · 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 55

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Wang, Z., Cai, S., Chen, G., Liu, A., Ma, X., & Liang, Y. (2023) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 55

Quilt-1M: One Million Image-Text Pairs for Histopathology

Ikezogwo, W. O., Seyfioglu, M. S., Ghezloo, F., Geva, D. S. C., Mohammed, F. S., Anand, P. K., Krishna, R., & Shapiro, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsAI in cancer detection

Cited by 55

Error rates and resource overheads of repetition cat qubits

Guillaud, J., & Mirrahimi, M. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 55

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Chen, W., Hu, H., Saharia, C., & Cohen, W. W. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 55

Temporomandibular joint segmentation in MRI images using deep learning

Li, M., Punithakumar, K., Major, P. W., Le, L. H., Nguyen, K.-C. T., Pacheco-Pereira, C., Kaipatur, N. R., Nebbe, B., Jaremko, J. L., & Almeida, F. T. (2022) · Journal of Dentistry

Medical Image Segmentation TechniquesDental Radiography and Imaging

Cited by 55

Automated Assistance for Creative Writing with an RNN Language Model

Roemmele, M., & Gordon, A. S. (2018) · Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces

Artificial Intelligence in GamesTopic Modeling

Cited by 55

Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions

van der Bom, I. M. J., Klein, S., Staring, M., Homan, R., Bartels, L. W., & Pluim, J. P. W. (2011) · SPIE Proceedings

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 55

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Nanda, N., Lee, A., & Wattenberg, M. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 55

Face and facial feature extraction from color image

Wu, H., Yokoyama, T., Pramadihanto, D., & Yachida, M. (2002) · Proceedings of the Second International Conference on Automatic Face and Gesture Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 55

Monitoring tools for DevOps and microservices: A systematic grey literature review

Giamattei, L., Guerriero, A., Pietrantuono, R., Russo, S., Malavolta, I., Islam, T., Dînga, M., Koziolek, A., Singh, S., Armbruster, M., et al. (2024) · Journal of Systems and Software

Software System Performance and ReliabilitySoftware Engineering Techniques and Practices

Cited by 55

The Use of Argument Maps as an Assessment Tool in Higher Education

Rapanta, C., & Walton, D. (2016) · International Journal of Educational Research

Educational Technology and AssessmentEducation and Critical Thinking Development

Cited by 55

The scalability of evolved on line bin packing heuristics

Burke, E. K., Hyde, M. R., Kendall, G., & Woodward, J. R. (2007) · 2007 IEEE Congress on Evolutionary Computation

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 55

Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?

Wang, C., Liu, P., & Zhang, Y. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 55

Adaptive tutorials versus web-based resources in radiology: A mixed methods comparison of efficacy and student engagement

Wong, V., Smith, A. J., Hawkins, N. J., Kumar, R. K., Young, N., Kyaw, M., & Velan, G. M. (2015) · Academic Radiology

Intelligent Tutoring Systems and Adaptive LearningInnovations in Medical Education

Cited by 55

Quantum Chemistry on Quantum Computers: A Polynomial-Time Quantum Algorithm for Constructing the Wave Functions of Open-Shell Molecules

Sugisaki, K., Yamamoto, S., Nakazawa, S., Toyota, K., Sato, K., Shiomi, D., & Takui, T. (2016) · The Journal of Physical Chemistry A

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 55

Evaluating Quantum Approximate Optimization Algorithm: A Case Study

Shaydulin, R., & Alexeev, Y. (2019) · 2019 Tenth International Green and Sustainable Computing Conference (IGSC)

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 55

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

Ke, Z., Liu, B., Ma, N., Xu, H., & Shu, L. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 55

Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

Zhang, Y., & Xiao, L. (2015) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 55

Ariel: augmenting paper engineering drawings

Mackay, W. E., Pagani, D. S., Faber, L., Inwood, B., Launiainen, P., Brenta, L., & Pouzol, V. (1995) · Conference companion on Human factors in computing systems - CHI '95

Interactive and Immersive DisplaysAugmented Reality Applications

Cited by 55

Manual refactoring changes with automated refactoring validation

Ge, X., & Murphy-Hill, E. (2014) · Proceedings of the 36th International Conference on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 55