Check computer science papers: citations, claims and retractions

When Do People Want AI to Make Decisions?

Kramer, M. F., Schaich Borg, J., Conitzer, V., & Sinnott-Armstrong, W. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIHuman-Automation Interaction and Safety

Cited by 83

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Power, A., Burda, Y., Edwards, H., Babuschkin, I., & Misra, V. (2022) · arXiv

Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques

Cited by 83

Assessing Socioeconomic Bias in Machine Learning Algorithms in Health Care: A Case Study of the HOUSES Index

Juhn, Y. J., Ryu, E., Wi, C.-I., King, K. S., Malik, M., Romero-Brufau, S., Weng, C., Sohn, S., Sharp, R. R., & Halamka, J. D. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareEthics and Social Impacts of AI

Cited by 83

Explainability of Machine Learning Models for Bankruptcy Prediction

Park, M. S., Son, H., Hyun, C., & Hwang, H. J. (2021) · IEEE Access

Explainable Artificial Intelligence (XAI)Financial Distress and Bankruptcy Prediction

Cited by 83

Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble

Guo, H., Chen, L., Peng, L., & Chen, G. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 83

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records

Forsyth, A. W., Barzilay, R., Hughes, K. S., Lui, D., Lorenz, K. A., Enzinger, A., Tulsky, J. A., & Lindvall, C. (2018) · Journal of Pain and Symptom Management

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 83

Designing Ground Truth and the Social Life of Labels

Muller, M., Wolf, C. T., Andres, J., Desmond, M., Joshi, N. N., Ashktorab, Z., Sharma, A., Brimijoin, K., Pan, Q., Duesterwald, E., et al. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Machine Learning and Data ClassificationMobile Crowdsensing and Crowdsourcing

Cited by 83

Are FPGAs Suitable for Edge Computing?

Biookaghazadeh, S., Ren, F., & Zhao, M. (2018) · arXiv

Embedded Systems Design TechniquesIoT and Edge/Fog Computing

Cited by 83

Correspondence between neural threshold networks and Kauffman Boolean cellular automata

Kurten, K. E. (1988) · Journal of Physics A: Mathematical and General

Cellular Automata and ApplicationsTheoretical and Computational Physics

Cited by 83

SOLQ: Segmenting Objects by Learning Queries

Dong, B., Zeng, F., Wang, T., Zhang, X., & Wei, Y. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 83

Diminished diversity-of-thought in a standard large language model

Park, P. S., Schoenegger, P., & Zhu, C. (2024) · Behavior Research Methods

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 83

Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration

Grupp, R. B., Unberath, M., Gao, C., Hegeman, R. A., Murphy, R. J., Alexander, C. P., Otake, Y., McArthur, B. A., Armand, M., & Taylor, R. H. (2020) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 83

Fixing the program my computer learned: barriers for end users, challenges for the machine

Kulesza, T., Wong, W.-K., Stumpf, S., Perona, S., White, R., Burnett, M. M., Oberst, I., & Ko, A. J. (2009) · Proceedings of the 14th international conference on Intelligent user interfaces

Software Testing and Debugging TechniquesUsability and User Interface Design

Cited by 83

Mirages. On Anthropomorphism in Dialogue Systems

Abercrombie, G., Curry, A., Dinkar, T., Rieser, V., & Talat, Z. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 83

Exploring the Role of Conversational Cues in Guided Task Support with Virtual Assistants

Vtyurina, A., & Fourney, A. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsAI in Service Interactions

Cited by 83

A Hybrid CNN for Image Denoising

Zheng, M., Zhi, K., Zeng, J., Tian, C., & You, L. (2022) · Journal of Artificial Intelligence and Technology

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 83

The Effects of Mobile AR-based Biology Learning Experience on Students’ Motivation, Self‐Efficacy, and Attitudes in Online Learning

Ciloglu, T., & Ustun, A. B. (2023) · Journal of Science Education and Technology

Augmented Reality ApplicationsMobile Learning in Education

Cited by 83

Slice Finder: Automated Data Slicing for Model Validation

Chung, Y., Kraska, T., Polyzotis, N., Tae, K. H., & Whang, S. E. (2019) · 2019 IEEE 35th International Conference on Data Engineering (ICDE)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 83

Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks

Shen, M., Zhang, J., Zhu, L., Xu, K., & Tang, X. (2020) · IEEE Transactions on Vehicular Technology

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 83

Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting

Dang, H., Goller, S., Lehmann, F., & Buschek, D. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsInnovative Human-Technology Interaction

Cited by 83

Residual unfairness in fair machine learning from prejudiced data

Kallus, N., & Zhou, A. (2018) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 83

SDN-Enabled Energy-Efficient Routing Optimization Framework for Industrial Internet of Things

Naeem, F., Tariq, M., & Poor, H. V. (2021) · IEEE Transactions on Industrial Informatics

Software-Defined Networks and 5GNetwork Traffic and Congestion Control

Cited by 83

Administration by algorithm: A risk management framework

Bannister, F., & Connolly, R. (2020) · Information Polity

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 83

The ZX calculus is a language for surface code lattice surgery

de Beaudrap, N., & Horsman, D. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 83