Check computer science papers: citations, claims and retractions

Patterns of experience in text editing

Rosson, M. B. (1983) · Proceedings of the SIGCHI conference on Human Factors in Computing Systems - CHI '83

Usability and User Interface DesignSpreadsheets and End-User Computing

Cited by 74

Securing icn-based UAV ad hoc networks with blockchain

Lei, K., Zhang, Q., Lou, J., Bai, B., & Xu, K. (2019) · IEEE Communications Magazine

Caching and Content DeliveryBlockchain Technology Applications and Security

Cited by 74

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Shumba, A.-T., Montanaro, T., Sergi, I., Bramanti, A., Ciccarelli, M., Rispoli, A., Carrizzo, A., De Vittorio, M., & Patrono, L. (2023) · Sensors

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 74

Neighbor-view Enhanced Model for Vision and Language Navigation

An, D., Qi, Y., Huang, Y., Wu, Q., Wang, L., & Tan, T. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 74

Continual Learning for Text Classification with Information Disentanglement Based Regularization

Huang, Y., Zhang, Y., Chen, J., Wang, X., & Yang, D. (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 74

Train Once, Test Anywhere: Zero-Shot Learning for Text Classification

Pushp, P. K., & Srivastava, M. M. (2017) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 74

Automated quantification of cerebral edema following hemispheric infarction: application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Chen, Y., Dhar, R., Heitsch, L., Ford, A., Fernandez-Cadenas, I., Carrera, C., Montaner, J., Lin, W., Shen, D., An, H., et al. (2016) · NeuroImage: Clinical

Medical Image Segmentation TechniquesAcute Ischemic Stroke Management

Cited by 74

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks

Zhang, M., Hu, L., Shi, C., & Wang, X. (2020) · 2020 IEEE International Conference on Data Mining (ICDM)

Adversarial Robustness in Machine LearningAdvanced Graph Neural Networks

Cited by 74

Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features

Rashkin, H., Reitter, D., Tomar, G. S., & Das, D. (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)

Speech and dialogue systemsTopic Modeling

Cited by 74

Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios

Juefei-Xu, F., Luu, K., & Savvides, M. (2015) · IEEE Transactions on Image Processing

Face recognition and analysisFace and Expression Recognition

Cited by 74

Human activity recognition using neural networks

Oniga, S., & Suto, J. (2014) · Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)

Context-Aware Activity Recognition SystemsInternet of Things and AI

Cited by 74

Explainable and Robust Artificial Intelligence for Trustworthy Resource Management in 6G Networks

Khan, N., Coleri, S., Abdallah, A., Celik, A., & Eltawil, A. M. (2024) · IEEE Communications Magazine

Explainable Artificial Intelligence (XAI)Software-Defined Networks and 5G

Cited by 74

Least-squares temporal difference learning for the linear quadratic regulator

Tu, S., & Recht, B. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 74

What's sex got to do with machine learning?

Hu, L., & Kohler-Hausmann, I. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIBayesian Modeling and Causal Inference

Cited by 74

Facial expression recognition in the wild based on multimodal texture features

Sun, B., Li, L., Zhou, G., & He, J. (2016) · Journal of Electronic Imaging

Emotion and Mood RecognitionFace recognition and analysis

Cited by 74

RankTrace: Relative and unbounded affect annotation

Lopes, P., Yannakakis, G. N., & Liapis, A. (2017) · 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 74

Barrier pointing: using physical edges to assist target acquisition on mobile device touch screens

Froehlich, J., Wobbrock, J. O., & Kane, S. K. (2007) · Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

Interactive and Immersive DisplaysDigital Accessibility for Disabilities

Cited by 74

Reed-Solomon Forward Error Correction (FEC) Schemes

Lacan, J., Roca, V., Peltotalo, J., & Peltotalo, S. (2009)

Error Correcting Code TechniquesCoding theory and cryptography

Cited by 74

Development of Audio Sensing Technology for Ambient Assisted Living: Applications and Challenges

Vacher, M., Portet, F., Fleury, A., & Noury, N. (2011) · International Journal of E-Health and Medical Communications

Speech and Audio ProcessingContext-Aware Activity Recognition Systems

Cited by 74

Deepfake audio detection by speaker verification

Pianese, A., Cozzolino, D., Poggi, G., & Verdoliva, L. (2022) · 2022 IEEE International Workshop on Information Forensics and Security (WIFS)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 74

Anonymity-enhanced Sequential Multi-signer Ring Signature for Secure Medical Data Sharing in IoMT

Xu, G., Fan, X., Xu, S., Cao, Y., Chen, X.-B., Shang, T., & Yu, S. (2025) · IEEE Transactions on Information Forensics and Security

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 74

Memorizing without overfitting: Bias, variance, and interpolation in overparameterized models

Rocks, J. W., & Mehta, P. (2022) · Physical Review Research

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 74

Interpretable Machine Learning for Personalized Medical Recommendations: A LIME-Based Approach

Wu, Y., Zhang, L., Bhatti, U. A., & Huang, M. (2023) · Diagnostics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 74

A Constructive Prediction of the Generalization Error Across Scales

Rosenfeld, J. S., Rosenfeld, A., Belinkov, Y., & Shavit, N. (2019) · arXiv

Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques

Cited by 74