Check computer science papers: citations, claims and retractions

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Yang, J., Jimenez, C., Wettig, A., Lieret, K., Yao, S., Narasimhan, K., & Press, O. (2024) · Advances in Neural Information Processing Systems 37

Advanced Software Engineering MethodologiesSoftware Engineering Techniques and Practices

Cited by 264

Artificial intelligence in cancer research, diagnosis and therapy

Elemento, O., Leslie, C., Lundin, J., & Tourassi, G. (2021) · Nature Reviews Cancer

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 264

Deepfake Audio Detection via MFCC features using Machine Learning

Hamza, A., Javed, A. R. R., Iqbal, F., Kryvinska, N., Almadhor, A. S., Jalil, Z., & Borghol, R. (2022) · IEEE Access

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 264

Computing persistent homology

Zomorodian, A., & Carlsson, G. (2004) · Proceedings of the twentieth annual symposium on Computational geometry

Topological and Geometric Data AnalysisHomotopy and Cohomology in Algebraic Topology

Cited by 264

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

Bazarevsky, V., Kartynnik, Y., Vakunov, A., Raveendran, K., & Grundmann, M. (2019) · arXiv

Face recognition and analysisAdvanced Neural Network Applications

Cited by 264

Automatic Detection of Generated Text is Easiest when Humans are Fooled

Ippolito, D., Duckworth, D., Callison-Burch, C., & Eck, D. (2019) · arXiv

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 264

Disturbances in Body Ownership in Schizophrenia: Evidence from the Rubber Hand Illusion and Case Study of a Spontaneous Out-of-Body Experience

Thakkar, K. N., Nichols, H. S., McIntosh, L. G., & Park, S. (2011) · PLoS ONE

Virtual Reality Applications and ImpactsSchizophrenia research and treatment

Cited by 264

Fit4life: the design of a persuasive technology promoting healthy behavior and ideal weight

Purpura, S., Schwanda, V., Williams, K., Stubler, W., & Sengers, P. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 264

Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms

Al-antari, M. A., Han, S.-M., & Kim, T.-S. (2020) · Computer Methods and Programs in Biomedicine

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 264

Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance

Hooker, G., Mentch, L., & Zhou, S. (2021) · Statistics and Computing

Explainable Artificial Intelligence (XAI)Statistical Methods and Inference

Cited by 264

Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning

Sirinukunwattana, K., Domingo, E., Richman, S. D., Redmond, K. L., Blake, A., Verrill, C., Leedham, S. J., Chatzipli, A., Hardy, C., Whalley, C. M., et al. (2021) · Gut

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 264

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Keysers, D., Schärli, N., Scales, N., Buisman, H., Furrer, D., Kashubin, S., Momchev, N., Sinopalnikov, D., Stafiniak, L., Tihon, T., et al. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 264

Medical image segmentation on GPUs – A comprehensive review

Smistad, E., Falch, T. L., Bozorgi, M., Elster, A. C., & Lindseth, F. (2015) · Medical Image Analysis

Medical Image Segmentation TechniquesParallel Computing and Optimization Techniques

Cited by 264

Unifying Count-Based Exploration and Intrinsic Motivation

Bellemare, M. G., Srinivasan, S., Ostrovski, G., Schaul, T., Saxton, D., & Munos, R. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 264

ActiveClean: interactive data cleaning for statistical modeling

Krishnan, S., Wang, J., Wu, E., Franklin, M. J., & Goldberg, K. (2016) · Proceedings of the VLDB Endowment

Machine Learning and Data ClassificationData Quality and Management

Cited by 264

Data politics

Ruppert, E., Isin, E., & Bigo, D. (2017) · Big Data & Society

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 264

Automatic Detection of Generated Text is Easiest when Humans are Fooled

Ippolito, D., Duckworth, D., Callison-Burch, C., & Eck, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 264

Continuous patient monitoring with a patient centric agent: a block architecture

Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2018) · IEEE Access

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 264

BPDS: A Blockchain Based Privacy-Preserving Data Sharing for Electronic Medical Records

Liu, J., Li, X., Ye, L., Zhang, H., Du, X., & Guizani, M. (2018) · 2018 IEEE Global Communications Conference (GLOBECOM)

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 263

A multimedia Adaptive tutoring system for mathematics that addresses cognition, metacognition and affect

Arroyo, I., Woolf, B. P., Burelson, W., Muldner, K., Rai, D., & Tai, M. (2014) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 263

The flaws of policies requiring human oversight of government algorithms

Green, B. (2022) · Computer Law & Security Review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 263

Open collaboration for innovation: Principles and performance

Levine, S. S., & Prietula, M. J. (2014) · Organization Science

Open Source Software InnovationsDigital Platforms and Economics

Cited by 263

Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length

Wang, X., Gao, L., Wang, P., Sun, X., & Liu, X. (2018) · IEEE Transactions on Multimedia

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 263

Real-Time Visual SLAM for Autonomous Underwater Hull Inspection Using Visual Saliency

Kim, A., & Eustice, R. M. (2013) · IEEE Transactions on Robotics

Robotics and Sensor-Based LocalizationUnderwater Vehicles and Communication Systems

Cited by 263