Check computer science papers: citations, claims and retractions

A framework of severity for harmful content online

Scheuerman, M. K., Jiang, J. A., Fiesler, C., & Brubaker, J. R. (2021) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 114

A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle

Shahriar, S., Allana, S., Hazratifard, S. M., & Dara, R. (2023) · IEEE Access

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 114

Quantization index modulation: a class of provably good methods for digital watermarking and information embedding

Chen, B., & Wornell, G. W. (2002) · 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)

Advanced Steganography and Watermarking TechniquesAdvanced Data Compression Techniques

Cited by 114

Hurdles to Progress in Long-form Question Answering

Krishna, K., Roy, A., & Iyyer, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingInformation Retrieval and Search Behavior

Cited by 114

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., & Hashimoto, T. (2024) · 2024 IEEE Security and Privacy Workshops (SPW)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 114

StoryDrawer: A Child–AI Collaborative Drawing System to Support Children's Creative Visual Storytelling

Zhang, C., Yao, C., Wu, J., Lin, W., Liu, L., Yan, G., & Ying, F. (2022) · CHI Conference on Human Factors in Computing Systems

Digital Media and Visual ArtInnovative Human-Technology Interaction

Cited by 114

Perspectives on Cognitive Task Analysis

Hoffman, R. R., & Militello, L. G. (2008) · Psychology Press eBooks

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 114

A Survey of Virtual Machine Management in Edge Computing

Tao, Z., Xia, Q., Hao, Z., Li, C., Ma, L., Yi, S., & Li, Q. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 114

Security Management Architecture for NFV/SDN-Aware IoT Systems

Molina Zarca, A., Bernabe, J. B., Trapero, R., Rivera, D., Villalobos, J., Skarmeta, A., Bianchi, S., Zafeiropoulos, A., & Gouvas, P. (2019) · IEEE Internet of Things Journal

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 114

Mixing up contrastive learning: Self-supervised representation learning for time series

Wickstrøm, K., Kampffmeyer, M., Mikalsen, K. Ø., & Jenssen, R. (2022) · Pattern Recognition Letters

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 113

Current cyber-defense trends in industrial control systems

Rubio, J. E., Alcaraz, C., Roman, R., & Lopez, J. (2019) · Computers & Security

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 113

On the creativity of large language models

Franceschelli, G., & Musolesi, M. (2025) · AI & SOCIETY

Ethics and Social Impacts of AICreativity in Education and Neuroscience

Cited by 113

A novel monitoring system for fall detection in older people

Taramasco, C., Rodenas, T., Martinez, F., Fuentes, P., Munoz, R., Olivares, R., De Albuquerque, V. H. C., & Demongeot, J. (2018) · IEEE Access

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

Cited by 113

DeepNet: Scaling Transformers to 1,000 Layers

Wang, H., Ma, S., Dong, L., Huang, S., Zhang, D., & Wei, F. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 113

Early prediction of Alzheimer's disease and related dementias using real-world electronic health records

Li, Q., Yang, X., Xu, J., Guo, Y., He, X., Hu, H., Lyu, T., Marra, D., Miller, A., Smith, G., et al. (2023) · Alzheimer's & Dementia

Machine Learning in HealthcareDementia and Cognitive Impairment Research

Cited by 113

A toolbox for surfacing health equity harms and biases in large language models

Pfohl, S. R., Cole-Lewis, H., Sayres, R., Neal, D., Asiedu, M., Dieng, A., Tomasev, N., Rashid, Q. M., Azizi, S., Rostamzadeh, N., et al. (2024) · Nature Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 113

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Alizadeh, K., Mirzadeh, S. I., Belenko, D., Khatamifard, S., Cho, M., Del Mundo, C. C., Rastegari, M., & Farajtabar, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 113

Q2: : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

Honovich, O., Choshen, L., Aharoni, R., Neeman, E., Szpektor, I., & Abend, O. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 113

Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

Li, F., Yang, Y., Wei, Y., He, P., Chen, J., Zheng, Z., & Bu, H. (2021) · Journal of Translational Medicine

AI in cancer detectionBreast Cancer Treatment Studies

Cited by 113

Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work

Singh, A., Karayev, S., Gutowski, K., & Abbeel, P. (2017) · Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale

Educational Technology and AssessmentOnline Learning and Analytics

Cited by 113

K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction

Chen, L., Wang, K., Li, M., Wu, M., Pedrycz, W., & Hirota, K. (2023) · IEEE Transactions on Industrial Electronics

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 113

COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera

McDuff, D. J., Hernandez, J., Gontarek, S., & Picard, R. W. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 113

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition

Yu, H., Chen, Z., Zhang, X., Chen, X., Zhuang, F., Xiong, H., & Cheng, X. (2023) · IEEE Transactions on Mobile Computing

Privacy-Preserving Technologies in DataContext-Aware Activity Recognition Systems

Cited by 113

Efficiently Scaling Transformer Inference

Pope, R., Douglas, S., Chowdhery, A., Devlin, J., Bradbury, J., Levskaya, A., Heek, J., Xiao, K., Agrawal, S., & Dean, J. (2022) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 113