Check computer science papers: citations, claims and retractions

MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Zadeh, A., Zellers, R., Pincus, E., & Morency, L.-P. (2016) · arXiv

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 350

Multi-cue onboard pedestrian detection

Wojek, C., Walk, S., & Schiele, B. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 350

Machine learning for real-time prediction of complications in critical care: a retrospective study

Meyer, A., Zverinski, D., Pfahringer, B., Kempfert, J., Kuehne, T., Sündermann, S. H., Stamm, C., Hofmann, T., Falk, V., & Eickhoff, C. (2018) · The Lancet Respiratory Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 350

Personalized Federated Learning With Differential Privacy

Hu, R., Guo, Y., Li, H., Pei, Q., & Gong, Y. (2020) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 350

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation

Li, S., Farha, Y. A., Liu, Y., Cheng, M.-M., & Gall, J. (2020) · arXiv

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 350

SqueezeNext: Hardware-Aware Neural Network Design

Gholami, A., Kwon, K., Wu, B., Tai, Z., Yue, X., Jin, P., Zhao, S., & Keutzer, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 350

Toward Human-Understandable, Explainable AI

Hagras, H. (2018) · Computer

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 350

Deep semantic understanding of high resolution remote sensing image

Qu, B., Li, X., Tao, D., & Lu, X. (2016) · 2016 International Conference on Computer, Information and Telecommunication Systems (CITS)

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 350

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Baylor, D., Breck, E., Cheng, H.-T., Fiedel, N., Foo, C. Y., Haque, Z., Haykal, S., Ispir, M., Jain, V., Koc, L., et al. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Software Engineering Techniques and PracticesScientific Computing and Data Management

Cited by 350

The Segment Routing Architecture

Filsfils, C., Nainar, N. K., Pignataro, C., Cardona, J. C., & Francois, P. (2015) · 2015 IEEE Global Communications Conference (GLOBECOM)

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 349

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Trivedi, H., Balasubramanian, N., Khot, T., & Sabharwal, A. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 349

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., et al. (2023) · Nature Medicine

Machine Learning in HealthcarePancreatic and Hepatic Oncology Research

Cited by 349

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Trivedi, H., Balasubramanian, N., Khot, T., & Sabharwal, A. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 349

Deep learning for classification of colorectal polyps on whole-slide images

Korbar, B., Olofson, A. M., Miraflor, A. P., Nicka, C. M., Suriawinata, M. A., Torresani, L., Suriawinata, A. A., & Hassanpour, S. (2017) · Journal of Pathology Informatics

AI in cancer detectionColorectal Cancer Screening and Detection

Cited by 349

Algorithmic Colonization of Africa

Birhane, A. (2020) · SCRIPTed: A Journal of Law, Technology & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Managing extreme AI risks amid rapid progress

Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Darrell, T., Harari, Y. N., Zhang, Y.-Q., Xue, L., Shalev-Shwartz, S., et al. (2024) · Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

Cozzolino, D., Poggi, G., & Verdoliva, L. (2017) · Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security

Digital Media Forensic DetectionAdvanced Image and Video Retrieval Techniques

Cited by 349

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation

Li, S., Farha, Y. A., Liu, Y., Cheng, M.-M., & Gall, J. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionVideo Surveillance and Tracking Methods

Cited by 349

Factual and Counterfactual Explanations for Black Box Decision Making

Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., & Turini, F. (2019) · IEEE Intelligent Systems

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 349

Estimating motion in image sequences

Stiller, C., & Konrad, J. (1999) · IEEE Signal Processing Magazine

Video Coding and Compression TechnologiesAdvanced Vision and Imaging

Cited by 349

Considerations for addressing bias in artificial intelligence for health equity

Abràmoff, M. D., Tarver, M. E., Loyo-Berrios, N., Trujillo, S., Char, D., Obermeyer, Z., Eydelman, M. B., Foundational Principles of Ophthalmic Imaging and Algorithmic Interpretation Working Group of the Collaborative Community for Ophthalmic Imaging Foundation, W., & Maisel, W. H. (2023) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 349

UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats

Han, X., Pasquier, T., Bates, A., Mickens, J., & Seltzer, M. (2020) · Proceedings 2020 Network and Distributed System Security Symposium

Network Security and Intrusion DetectionSecurity and Verification in Computing

Cited by 349

Deepfake detection using deep learning methods: A systematic and comprehensive review

Heidari, A., Jafari Navimipour, N., Dag, H., & Unal, M. (2024) · WIREs Data Mining and Knowledge Discovery

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 349

Learning Management System (LMS) Use with Online Instruction

Bradley, V. M. (2020) · International Journal of Technology in Education

Educational Technology and E-LearningOnline and Blended Learning

Cited by 349