Check computer science papers: citations, claims and retractions

Ethics of artificial intelligence in education: Student privacy and data protection

Huang, L. (2023) · Science Insights Education Frontiers

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 305

On the importance of single directions for generalization

Morcos, A. S., Barrett, D. G. T., Rabinowitz, N. C., & Botvinick, M. (2018) · arXiv

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 305

Temporal Analysis of Language through Neural Language Models

Kim, Y., Chiu, Y.-I., Hanaki, K., Hegde, D., & Petrov, S. (2014) · Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science

Topic ModelingDigital Humanities and Scholarship

Cited by 305

Quantum Metropolis sampling

Temme, K., Osborne, T. J., Vollbrecht, K. G., Poulin, D., & Verstraete, F. (2011) · Nature

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 305

Knowledge base completion via search-based question answering

West, R., Gabrilovich, E., Murphy, K., Sun, S., Gupta, R., & Lin, D. (2014) · Proceedings of the 23rd international conference on World wide web

Topic ModelingSemantic Web and Ontologies

Cited by 305

How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

Rosenbacke, R., Melhus, Å., McKee, M., & Stuckler, D. (2024) · JMIR AI

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

Cited by 305

RSVQA: Visual Question Answering for Remote Sensing Data

Lobry, S., Marcos, D., Murray, J., & Tuia, D. (2020) · IEEE Transactions on Geoscience and Remote Sensing

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 305

Unsupervised Scalable Representation Learning for Multivariate Time Series

Franceschi, J.-Y., Dieuleveut, A., & Jaggi, M. (2019) · arXiv

Time Series Analysis and ForecastingMusic and Audio Processing

Cited by 305

Recommendation for Random Number Generation Using Deterministic Random Bit Generators

Barker, E. B., & Kelsey, J. M. (2015)

Cryptographic Implementations and SecurityCryptography and Residue Arithmetic

Cited by 304

Are Students Representatives of Professionals in Software Engineering Experiments?

Salman, I., Misirli, A. T., & Juristo, N. (2015) · 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 304

Designing for Appropriation

Dix, A. (2007) · Electronic Workshops in Computing

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 304

Everyday dwelling with WhatsApp

O'Hara, K. P., Massimi, M., Harper, R., Rubens, S., & Morris, J. (2014) · Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing

Innovative Human-Technology InteractionDigital Communication and Language

Cited by 304

Virtual reality in mental health: A review of the literature

Gregg, L., & Tarrier, N. (2007) · Social Psychiatry and Psychiatric Epidemiology

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 304

Deduplicating Training Data Makes Language Models Better

Lee, K., Ippolito, D., Nystrom, A., Zhang, C., Eck, D., Callison-Burch, C., & Carlini, N. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 304

Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

Dai, X., Xiao, Z., Jiang, H., Alazab, M., Lui, J. C. S., Dustdar, S., & Liu, J. (2023) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 304

Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction

Lee, J., Berry, D. W., Gidney, C., Huggins, W. J., McClean, J. R., Wiebe, N., & Babbush, R. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 304

RGBD-HuDaAct: A color-depth video database for human daily activity recognition

Ni, B., Wang, G., & Moulin, P. (2011) · 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 304

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Huang, W., Abbeel, P., Pathak, D., & Mordatch, I. (2022) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 304

Deep fake image detection based on pairwise learning

Hsu, C.-C., Zhuang, Y.-X., & Lee, C.-Y. (2020) · Applied Sciences

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 304

Foundation Models Defining a New Era in Vision: A Survey and Outlook

Awais, M., Naseer, M., Khan, S., Anwer, R. M., Cholakkal, H., Shah, M., Yang, M.-H., & Khan, F. S. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 304

The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers

Stewart, N., Ungemach, C., Harris, A. J. L., Bartels, D. M., Newell, B. R., Paolacci, G., & Chandler, J. (2015) · Judgment and Decision Making

Mobile Crowdsensing and CrowdsourcingCensus and Population Estimation

Cited by 304

Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds

Simon, M., Amende, K., Kraus, A., Honer, J., Samann, T., Kaulbersch, H., Milz, S., & Gross, H. M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 304

On The Detection of Synthetic Images Generated by Diffusion Models

Corvi, R., Cozzolino, D., Zingarini, G., Poggi, G., Nagano, K., & Verdoliva, L. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 304

Fully convolutional networks for multi-modality isointense infant brain image segmentation

Nie, D., Wang, L., Gao, Y., & Shen, D. (2016) · 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 304