Check computer science papers: citations, claims and retractions

Polymer physics by quantum computing

Micheletti, C., Hauke, P., & Faccioli, P. (2021) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureTheoretical and Computational Physics

Cited by 48

Personality Bias of Music Recommendation Algorithms

Melchiorre, A. B., Zangerle, E., & Schedl, M. (2020) · Fourteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 48

Apple Vision Pro and why extended reality will revolutionize the future of medicine

Waisberg, E., Ong, J., Masalkhi, M., Zaman, N., Sarker, P., Lee, A. G., & Tavakkoli, A. (2024) · Irish Journal of Medical Science (1971 -)

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 48

Clinical Algorithms, Antidiscrimination Laws, and Medical Device Regulation

Goodman, K. E., Morgan, D. J., & Hoffmann, D. E. (2023) · JAMA

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 48

Data sharing—trialists' plans at registration, attitudes, barriers and facilitators: A cohort study and cross‐sectional survey

Tan, A. C., Askie, L. M., Hunter, K. E., Barba, A., Simes, R. J., & Seidler, A. L. (2021) · Research Synthesis Methods

Research Data Management PracticesMeta-analysis and systematic reviews

Cited by 48

Compressive Privacy Generative Adversarial Network

Tseng, B.-W., & Wu, P.-Y. (2020) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 48

Probabilistic parsing and psychological plausibility

Brants, T., & Crocker, M. (2000) · Proceedings of the 18th conference on Computational linguistics -

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 48

Solution-Processed Carbon Nanotube True Random Number Generator

Gaviria Rojas, W. A., McMorrow, J. J., Geier, M. L., Tang, Q., Kim, C. H., Marks, T. J., & Hersam, M. C. (2017) · Nano Letters

Physical Unclonable Functions (PUFs) and Hardware SecurityCarbon Nanotubes in Composites

Cited by 48

Towards Measuring the Representation of Subjective Global Opinions in Language Models

Durmus, E., Nguyen, K., Liao, T. I., Schiefer, N., Askell, A., Bakhtin, A., Chen, C., Hatfield-Dodds, Z., Hernandez, D., Joseph, N., et al. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 48

Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral

Pednault, E., Gunnels, J. A., Nannicini, G., Horesh, L., Magerlein, T., Solomonik, E., Draeger, E. W., Holland, E. T., & Wisnieff, R. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 48

Monitoring Real Time Security Attacks for IoT Systems Using DevSecOps: A Systematic Literature Review

Bahaa, A., Abdelaziz, A., Sayed, A., Elfangary, L., & Fahmy, H. (2021) · Information

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 48

Towards the simulation of large scale protein–ligand interactions on NISQ-era quantum computers

Malone, F. D., Parrish, R. M., Welden, A. R., Fox, T., Degroote, M., Kyoseva, E., Moll, N., Santagati, R., & Streif, M. (2022) · Chemical Science

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 48

Annie: Automated Generation of Adaptive Learner Guidance for Fun Serious Games

Thomas, J. M., & Young, R. M. (2010) · IEEE Transactions on Learning Technologies

Intelligent Tutoring Systems and Adaptive LearningEducational Games and Gamification

Cited by 48

Evaluation of Prototypes and the Problem of Possible Futures

Salovaara, A., Oulasvirta, A., & Jacucci, G. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 48

Observational Overfitting in Reinforcement Learning

Song, X., Jiang, Y., Tu, S., Du, Y., & Neyshabur, B. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 48

Uncertainty Estimation in Autoregressive Structured Prediction

Malinin, A., & Gales, M. (2020) · arXiv

Natural Language Processing TechniquesAdversarial Robustness in Machine Learning

Cited by 48

Stacksplorer: call graph navigation helps increasing code maintenance efficiency

Karrer, T., Krämer, J.-P., Diehl, J., Hartmann, B., & Borchers, J. (2011) · Proceedings of the 24th annual ACM symposium on User interface software and technology

Software Engineering ResearchData Visualization and Analytics

Cited by 48

Monetization of services provided by public fog nodes using blockchain and smart contracts

Debe, M., Salah, K., Ur Rehman, M. H., & Svetinovic, D. (2020) · IEEE Access

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 48

Fair and Transparent Blockchain Based Tendering Framework - A Step Towards Open Governance

Hardwick, F. S., Akram, R. N., & Markantonakis, K. (2018) · 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

Blockchain Technology Applications and SecurityPublic Procurement and Policy

Cited by 48

The Benchmark Lottery

Dehghani, M., Tay, Y., Gritsenko, A. A., Zhao, Z., Houlsby, N., Diaz, F., Metzler, D., & Vinyals, O. (2021) · arXiv

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 48

The AI Index 2021 Annual Report

Zhang, D., Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., Lyons, T., Manyika, J., Niebles, J. C., Sellitto, M., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 48

Developing ChemDFM as a large language foundation model for chemistry

Zhao, Z., Ma, D., Chen, L., Sun, L., Li, Z., Xia, Y., Chen, B., Xu, H., Zhu, Z., Zhu, S., et al. (2024) · arXiv

Topic ModelingMachine Learning in Materials Science

Cited by 48

Machine learning modeling practices to support the principles of AI and ethics in nutrition research

Thomas, D. M., Kleinberg, S., Brown, A. W., Crow, M., Bastian, N. D., Reisweber, N., Lasater, R., Kendall, T., Shafto, P., Blaine, R., et al. (2022) · Nutrition & Diabetes

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 48

Fish Detection and Classification for Automatic Sorting System with an Optimized YOLO Algorithm

Kuswantori, A., Suesut, T., Tangsrirat, W., Schleining, G., & Nunak, N. (2023) · Applied Sciences

Advanced Neural Network ApplicationsWater Quality Monitoring Technologies

Cited by 48