Check computer science papers: citations, claims and retractions

A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability

Fox, S., & Rey, V. F. (2024) · Machine Learning and Knowledge Extraction

Explainable Artificial Intelligence (XAI)Visual and Cognitive Learning Processes

Cited by 22

An Immunology-Inspired Network Security Architecture

Yu, Q., Ren, J., Zhang, J., Liu, S., Fu, Y., Li, Y., Ma, L., Jing, J., & Zhang, W. (2020) · IEEE Wireless Communications

Artificial Immune Systems ApplicationsNetwork Security and Intrusion Detection

Cited by 22

Mapping Canopy Cover in African Dry Forests from the Combined Use of Sentinel-1 and Sentinel-2 Data: Application to Tanzania for the Year 2018

Verhegghen, A., Kuzelova, K., Syrris, V., Eva, H., & Achard, F. (2022) · Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 22

Evaluating the World Model Implicit in a Generative Model

Vafa, K., Chen, J. Y., Rambachan, A., Kleinberg, J., & Mullainathan, S. (2024) · arXiv

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 22

A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication

Luccioni, A. S., Corry, F., Sridharan, H., Ananny, M., Schultz, J., & Crawford, K. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 22

AI on edge

Greengard, S. (2020) · Communications of the ACM

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 22

Pipelined correlated minimum weight perfect matching of the surface code

Paler, A., & Fowler, A. G. (2023) · Quantum

Quantum Computing Algorithms and ArchitectureError Correcting Code Techniques

Cited by 22

The strategy of develop Artificial Intelligence in singapore, united states, and united kingdom

Zahra, A. A., & Nurmandi, A. (2021) · IOP Conference Series Earth and Environmental Science

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 22

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Han, C., Wang, Q., Peng, H., Xiong, W., Chen, Y., Ji, H., & Wang, S. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 22

Language Model Cascades

Dohan, D., Xu, W., Lewkowycz, A., Austin, J., Bieber, D., Lopes, R. G., Wu, Y., Michalewski, H., Saurous, R. A., Sohl-dickstein, J., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

Ning, L.-B., Wang, S., Fan, W., Li, Q., Xu, X., Chen, H., & Huang, F. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Adversarial Robustness in Machine LearningRecommender Systems and Techniques

Cited by 22

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Wu, X., Hao, Y., Sun, K., Chen, Y., Zhu, F., Zhao, R., & Li, H. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 22

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Shaikovski, G., Casson, A., Severson, K., Zimmermann, E., Wang, Y. K., Kunz, J. D., Retamero, J. A., Oakley, G., Klimstra, D., Kanan, C., et al. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 22

Discovering the Hidden Vocabulary of DALLE-2

Daras, G., & Dimakis, A. G. (2022) · arXiv

Adversarial Robustness in Machine LearningGenerative Adversarial Networks and Image Synthesis

Cited by 22

Bayesian active probabilistic classification for psychometric field estimation

Song, X. D., Sukesan, K. A., & Barbour, D. L. (2018) · Attention, Perception, & Psychophysics

Gaussian Processes and Bayesian InferenceVisual perception and processing mechanisms

Cited by 22

Hyperledger fabric platform for healthcare trust relations—Proof-of-Concept

Nedaković, A., Hasselgren, A., Kralevska, K., & Gligoroski, D. (2023) · Blockchain: Research and Applications

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 22

Analysis of 105 IT Project Risks

Nikolaenko, V., & Sidorov, A. (2023) · Journal of Risk and Financial Management

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 22

Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2023) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 22

Integrating explainable machine learning in clinical decision support systems: study involving a modified design thinking approach

Shulha, M., Hovdebo, J., D’Souza, V., Thibault, F., & Harmouche, R. (2024) · JMIR Formative Research

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

Cited by 22

Deep Learning Blockchain Integration Framework for Ureteropelvic Junction Obstruction Diagnosis Using Ultrasound Images

Guan, Y., Wen, P., Li, J., Zhang, J., & Xie, X. (2024) · Tsinghua Science and Technology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 22

A scenario-based framework for the security evaluation of software architecture

Alkussayer, A., & Allen, W. H. (2010) · 2010 3rd International Conference on Computer Science and Information Technology

Advanced Software Engineering MethodologiesSecurity and Verification in Computing

Cited by 22

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

Xue, F., Fu, Y., Zhou, W., Zheng, Z., & You, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

SemGloVe: Semantic Co-Occurrences for GloVe From BERT

Gan, L., Teng, Z., Zhang, Y., Zhu, L., Wu, F., & Yang, Y. (2022) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 22

Bias in artificial intelligence systems

Rejmaniak, R. (2021) · Białostockie Studia Prawnicze

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 22