Check computer science papers: citations, claims and retractions

Quantum Simulations on a Quantum Computer

Somaroo, S., Tseng, C. H., Havel, T. F., Laflamme, R., & Cory, D. G. (1999) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 180

Blockchain state-of-the-art: Architecture, use cases, consensus, challenges and opportunities

Shrimali, B., & Patel, H. B. (2022) · Journal of King Saud University - Computer and Information Sciences

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 179

PD Disease State Assessment in Naturalistic Environments Using Deep Learning

Hammerla, N., Fisher, J., Andras, P., Rochester, L., Walker, R., & Ploetz, T. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 179

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Kreutzer, J., Caswell, I., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., Tapo, A., Subramani, N., Sokolov, A., Sikasote, C., et al. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 179

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning

Srivastava, M., Heidari, H., & Krause, A. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 179

Emc: Emotion-aware mobile cloud computing in 5G

Chen, M., Zhang, Y., Li, Y., Mao, S., & Leung, V. C. M. (2015) · IEEE Network

IoT and Edge/Fog ComputingCloud Computing and Remote Desktop Technologies

Cited by 179

Dragonblood: Analyzing the Dragonfly Handshake of WPA3 and EAP-pwd

Vanhoef, M., & Ronen, E. (2020) · 2020 IEEE Symposium on Security and Privacy (SP)

Advanced Authentication Protocols SecurityCryptographic Implementations and Security

Cited by 179

Overview and Comparison of Gate Level Quantum Software Platforms

LaRose, R. (2019) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 179

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

Wood, A., Najarian, K., & Kahrobaei, D. (2021) · ACM Computing Surveys

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 179

ExpeL: LLM Agents Are Experiential Learners

Zhao, A., Huang, D., Xu, Q., Lin, M., Liu, Y.-J., & Huang, G. (2023) · arXiv

AI-based Problem Solving and PlanningDomain Adaptation and Few-Shot Learning

Cited by 179

Interpretable dropout prediction: towards XAI-based personalized intervention

Nagy, M., & Molontay, R. (2024) · International Journal of Artificial Intelligence in Education

Online Learning and AnalyticsExplainable Artificial Intelligence (XAI)

Cited by 179

A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions

Pfleging, B., Fekety, D. K., Schmidt, A., & Kun, A. L. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 179

Hierarchical Menu Design: Breadth, Depth, and Task Complexity

Jacko, J. A., & Salvendy, G. (1996) · Perceptual and Motor Skills

Usability and User Interface DesignPersonal Information Management and User Behavior

Cited by 179

SegDiff: Image Segmentation with Diffusion Probabilistic Models

Amit, T., Shaharbany, T., Nachmani, E., & Wolf, L. (2021) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 179

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., Smith-Loud, J., Theron, D., & Barnes, P. (2020) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 179

DESPOT: Online POMDP Planning with Regularization

Ye, N., Somani, A., Hsu, D., & Lee, W. S. (2017) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 179

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action

Shah, D., Osinski, B., Ichter, B., & Levine, S. (2022) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 179

General purpose computer-assisted clustering and conceptualization

Grimmer, J., & King, G. (2011) · Proceedings of the National Academy of Sciences

Advanced Clustering Algorithms ResearchData Visualization and Analytics

Cited by 179

Context-aware convolutional neural network for grading of colorectal cancer histology images

Shaban, M., Awan, R., Fraz, M. M., Azam, A., Tsang, Y.-W., Snead, D., & Rajpoot, N. M. (2020) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 179

Weather impacts expressed sentiment

Baylis, P., Obradovich, N., Kryvasheyeu, Y., Chen, H., Coviello, L., Moro, E., Cebrian, M., & Fowler, J. H. (2018) · PLOS ONE

Sentiment Analysis and Opinion MiningClimate Change and Health Impacts

Cited by 179

Ethics and diversity in artificial intelligence policies, strategies and initiatives

Roche, C., Wall, P. J., & Lewis, D. (2023) · AI and Ethics

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 179

A Blockchain-Based Authentication and Security Mechanism for IoT

Li, D., Peng, W., Deng, W., & Gai, F. (2018) · 2018 27th International Conference on Computer Communication and Networks (ICCCN)

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 179

How many data points is a prompt worth?

Le Scao, T., & Rush, A. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 179

Using Mobile Devices for Teaching Realistic Mathematics in Kindergarten Education

Zaranis, N., Kalogiannakis, M., & Papadakis, S. (2013) · Creative Education

Mobile Learning in EducationMathematics Education and Pedagogy

Cited by 179