Check computer science papers: citations, claims and retractions

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models

Millidge, B., Salvatori, T., Song, Y., Lukasiewicz, T., & Bogacz, R. (2022) · arXiv

Neural Networks and ApplicationsMemory and Neural Mechanisms

Cited by 19

Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction

Sharifnejad, M., Shahbahrami, A., Akoushideh, A., & Hassanpour, R. Z. (2021) · IET Image Processing

Face and Expression RecognitionEmotion and Mood Recognition

Cited by 19

A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data

Cusworth, S., Gkoutos, G. V., & Acharjee, A. (2024) · BMC Medical Informatics and Decision Making

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 19

Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers

Remedios, S. W., Butman, J. A., Landman, B. A., & Pham, D. L. (2020) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 19

Can GPT-4 Replicate Empirical Software Engineering Research?

Liang, J. T., Badea, C., Bird, C., DeLine, R., Ford, D., Forsgren, N., & Zimmermann, T. (2024) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 19

Data-Driven Signal–Noise Classification for Microseismic Data Using Machine Learning

Kim, S., Yoon, B., Lim, J.-T., & Kim, M. (2021) · Energies

Seismology and Earthquake StudiesHydraulic Fracturing and Reservoir Analysis

Cited by 19

Microscaling Data Formats for Deep Learning

Rouhani, B. D., Zhao, R., More, A., Hall, M., Khodamoradi, A., Deng, S., Choudhary, D., Cornea, M., Dellinger, E., Denolf, K., et al. (2023) · arXiv

Numerical Methods and AlgorithmsAdvanced Neural Network Applications

Cited by 19

Construction of a scale-space primal sketch

Lindeberg, T., & Eklundh, J. (1990) · Procedings of the British Machine Vision Conference 1990

Image Retrieval and Classification TechniquesImage and Signal Denoising Methods

Cited by 19

Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings

Williams, H., Cattani, L., Van Schoubroeck, D., Yaqub, M., Sudre, C., Vercauteren, T., D'Hooge, J., & Deprest, J. (2021) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesPelvic floor disorders treatments

Cited by 19

Cryptanalysis and improvement of an image encryption scheme using combination of one-dimensional chaotic maps

Panwar, K., Purwar, R. K., & Jain, A. (2018) · Journal of Electronic Imaging

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 19

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances

Nie, A., Chandak, Y., Suzara, M., Malik, A., Woodrow, J., Peng, M., Sahami, M., Brunskill, E., & Piech, C. (2024) · arXiv

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 19

A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness

Schwinn, L., Ladenburger, M., Beyer, T., Mofakhami, M., Gidel, G., & Günnemann, S. (2026) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 19

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

Liška, A., Kočiský, T., Gribovskaya, E., Terzi, T., Sezener, E., Agrawal, D., d'Autume, C. D. M., Scholtes, T., Zaheer, M., Young, S., et al. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 19

Multimodal representation learning for place recognition using deep Hebbian predictive coding

Pearson, M. J., Dora, S., Struckmeier, O., Knowles, T. C., Mitchinson, B., Tiwari, K., Kyrki, V., Bohte, S., & Pennartz, C. M. A. (2021) · Frontiers in Robotics and AI

Robotics and Sensor-Based LocalizationMemory and Neural Mechanisms

Cited by 19

FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference

Ding, R., Liu, Z., Chin, T.-W., Marculescu, D., & Blanton, R. D. (. (2019) · Proceedings of the 56th Annual Design Automation Conference 2019

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 19

External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems

Cummings, B. C., Blackmer, J. M., Motyka, J. R., Farzaneh, N., Cao, L., Bisco, E. L., Glassbrook, J. D., Roebuck, M. D., Gillies, C. E., Admon, A. J., et al. (2023) · Critical Care Medicine

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 19

Mentigo: An Intelligent Agent for Mentoring Students in the Creative Problem Solving Process

Zha, S., Liu, Y., Zheng, C., Xu, J., Yu, F., Gong, J., & Xu, Y. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 19

Using machine learning based on eye gaze to predict targets: An exploratory study

Castellanos, J. L., Gomez, M. F., & Adams, K. D. (2017) · 2017 IEEE Symposium Series on Computational Intelligence (SSCI)

Gaze Tracking and Assistive TechnologyEEG and Brain-Computer Interfaces

Cited by 19

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model

Hu, M., Chen, T., Chen, Q., Mu, Y., Shao, W., & Luo, P. (2024) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 19

A Flexible Attentive Temporal Graph Networks for Anomaly Detection in Dynamic Networks

Zhu, D., Ma, Y., & Liu, Y. (2020) · 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 19

A Careful Examination of Large Language Model Performance on Grade School Arithmetic

Zhang, H., Da, J., Lee, D., Robinson, V., Wu, C., Song, W., Zhao, T., Raja, P., Zhuang, C., Slack, D., et al. (2024) · arXiv

Topic ModelingArtificial Intelligence in Education

Cited by 19

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text

Russell, J., Karpinska, M., & Iyyer, M. (2025) · arXiv

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 19

What is the point of fairness?

Bennett, C., & Keyes, O. (2020) · Interactions

Ethics and Social Impacts of AIPolitical Philosophy and Ethics

Cited by 19

Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining

Chen, Q., Wang, J., Han, C., Zhang, S., Li, Z., Chen, X., Chen, J., Wang, X., Han, S., Zhang, G., et al. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19