Check computer science papers: citations, claims and retractions

Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles

Guillen-Aguinaga, M., Aguinaga-Ontoso, E., Guillen-Aguinaga, L., Guillen-Grima, F., & Aguinaga-Ontoso, I. (2025) · Data

Data Quality and ManagementResearch Data Management Practices

Cited by 37

YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems

Lazarevich, I., Grimaldi, M., Kumar, R., Mitra, S., Khan, S., & Sah, S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 37

Capacitive facial movement detection for human–computer interaction to click by frowning and lifting eyebrows: Assistive technology

Rantanen, V., Niemenlehto, P.-H., Verho, J., & Lekkala, J. (2010) · Medical & Biological Engineering & Computing

Gaze Tracking and Assistive TechnologyEmotion and Mood Recognition

Cited by 37

AI Book Club: An Innovative Professional Development Model for AI Education

Lee, I., Zhang, H., Moore, K., Zhou, X., Perret, B., Cheng, Y., Zheng, R., & Pu, G. (2022) · Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 37

Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models

Zadeh, A. H., Mahmoud, M., Abdelhadi, A., & Moshovos, A. (2022) · Proceedings of the 49th Annual International Symposium on Computer Architecture

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 37

The Effectiveness of Teacher Support for Students’ Learning of Artificial Intelligence Popular Science Activities

Wu, S.-Y., & Yang, K.-K. (2022) · Frontiers in Psychology

Teaching and Learning ProgrammingScience Education and Pedagogy

Cited by 37

A recommendation system for repairing violations detected by static architecture conformance checking

Terra, R., Valente, M. T., Czarnecki, K., & Bigonha, R. S. (2015) · Software: Practice and Experience

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 37

Comparison of Hash Function Algorithms Against Attacks: A Review

Maetouq, A., Mohd, S., Azurati, N., Maarop, N., Nur, N., & Abas, H. (2018) · International Journal of Advanced Computer Science and Applications

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 37

SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset

Islam, S., Sara, U., Kawsar, A., Rahman, A., Kundu, D., Das, D., Rezaul, A. N. M., & Hasan, M. (2021) · International Journal of Advanced Computer Science and Applications

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 37

Value attributed to text-based archives generated by artificial intelligence

Darda, K., Carre, M., & Cross, E. (2023) · Royal Society Open Science

Ethics and Social Impacts of AIAesthetic Perception and Analysis

Cited by 37

Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content

Das, A., Dang, B., & Lease, M. (2020) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Hate Speech and Cyberbullying DetectionMobile Crowdsensing and Crowdsourcing

Cited by 37

Capsulenet-Based Spatial–Spectral Classifier for Hyperspectral Images

Arun, P. V., Buddhiraju, K. M., & Porwal, A. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 37

PHYRE: A New Benchmark for Physical Reasoning

Bakhtin, A., van der Maaten, L., Johnson, J., Gustafson, L., & Girshick, R. (2019) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 37

Predicting bloodstream infection outcome using machine learning

Zoabi, Y., Kehat, O., Lahav, D., Weiss-Meilik, A., Adler, A., & Shomron, N. (2021) · Scientific Reports

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 37

Kafka, Samza and the Unix Philosophy of Distributed Data

Kleppmann, M., & Kreps, J. (2015) · IEEE

Advanced Database Systems and QueriesDistributed systems and fault tolerance

Cited by 37

Multimodal Emotion Recognition in Deep Learning:a Survey

Gu, X., Shen, Y., & Xu, J. (2021) · 2021 International Conference on Culture-oriented Science & Technology (ICCST)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 36

Variational Circuit Compiler for Quantum Error Correction

Xu, X., Benjamin, S. C., & Yuan, X. (2021) · Physical Review Applied

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 36

Bayesian Deep Ensembles via the Neural Tangent Kernel

He, B., Lakshminarayanan, B., & Teh, Y. W. (2020) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 36

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Brunnbauer, A., Berducci, L., Brandstatter, A., Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2022) · 2022 International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 36

Virtual Reality as a Therapy Adjunct for Fear of Movement in Veterans With Chronic Pain: Single-Arm Feasibility Study

Fowler, C. A., Ballistrea, L. M., Mazzone, K. E., Martin, A. M., Kaplan, H., Kip, K. E., Ralston, K., Murphy, J. L., & Winkler, S. L. (2019) · JMIR Formative Research

Virtual Reality Applications and ImpactsMusculoskeletal pain and rehabilitation

Cited by 36

Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections

Kuga, R., Kanezaki, A., Samejima, M., Sugano, Y., & Matsushita, Y. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 36

Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition

Miao, S., Chen, L., Hu, R., & Luo, Y. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 36

reclaimID: Secure, Self-Sovereign Identities Using Name Systems and Attribute-Based Encryption

Schanzenbach, M., Bramm, G., & Schutte, J. (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)

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 36

An Assessment of Oral Exams in Introductory CS

Ohmann, P. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingStudent Assessment and Feedback

Cited by 36