Check computer science papers: citations, claims and retractions

Universal Adversarial Perturbations

Moosavi-Dezfooli, S.-M., Fawzi, A., Fawzi, O., & Frossard, P. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 2,680

Swin Transformer V2: Scaling Up Capacity and Resolution

Liu, Z., Hu, H., Lin, Y., Yao, Z., Xie, Z., Wei, Y., Ning, J., Cao, Y., Zhang, Z., Dong, L., et al. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,679

Error Correcting Codes in Quantum Theory

Steane, A. M. (1996) · Physical Review Letters

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 2,677

Efficient multi-user computation offloading for mobile-edge cloud computing

Chen, X., Jiao, L., Li, W., & Fu, X. (2016) · IEEE/ACM Transactions on Networking

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 2,675

A survey on semi-supervised learning

van Engelen, J. E., & Hoos, H. H. (2020) · Machine Learning

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 2,666

Methods for interpreting and understanding deep neural networks

Montavon, G., Samek, W., & Müller, K.-R. (2018) · Digital Signal Processing

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 2,665

A Survey on Human Activity Recognition using Wearable Sensors

Lara, O. D., & Labrador, M. A. (2013) · IEEE Communications Surveys & Tutorials

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 2,662

Ensemble-based classifiers

Rokach, L. (2010) · Artificial Intelligence Review

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 2,657

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Hoffman, J., Tzeng, E., Park, T., Zhu, J.-Y., Isola, P., Saenko, K., Efros, A. A., & Darrell, T. (2017) · arXiv

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 2,656

A brief history of artificial intelligence: On the past, present, and future of artificial intelligence

Haenlein, M., & Kaplan, A. (2019) · California Management Review

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 2,655

Frustum PointNets for 3D Object Detection from RGB-D Data

Qi, C. R., Liu, W., Wu, C., Su, H., & Guibas, L. J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 2,655

Knowledge Graph Embedding: A Survey of Approaches and Applications

Wang, Q., Mao, Z., Wang, B., & Guo, L. (2017) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksTopic Modeling

Cited by 2,654

Scalable and accurate deep learning with electronic health records

Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., Liu, P. J., Liu, X., Marcus, J., Sun, M., et al. (2018) · npj Digital Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 2,648

Understanding the role of digital technologies in education: A review

Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022) · Sustainable Operations and Computers

Educational Innovations and TechnologyInnovative Educational Technologies

Cited by 2,647

Phoneme recognition using time-delay neural networks

Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., & Lang, K. J. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 2,643

Opensmile: the munich versatile and fast open-source audio feature extractor

Eyben, F., Wöllmer, M., & Schuller, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia

Music and Audio ProcessingSpeech and Audio Processing

Cited by 2,642

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,641

FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION

Muja, M., & Lowe, D. G. (2009) · Proceedings of the Fourth International Conference on Computer Vision Theory and Applications

Advanced Image and Video Retrieval TechniquesData Management and Algorithms

Cited by 2,640

A sparse signal reconstruction perspective for source localization with sensor arrays

Malioutov, D., Cetin, M., & Willsky, A. S. (2005) · IEEE Transactions on Signal Processing

Direction-of-Arrival Estimation TechniquesSparse and Compressive Sensing Techniques

Cited by 2,638

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Sohl-Dickstein, J., Weiss, E. A., Maheswaranathan, N., & Ganguli, S. (2015) · arXiv

Gaussian Processes and Bayesian InferenceGenerative Adversarial Networks and Image Synthesis

Cited by 2,637

An introduction to multisensor data fusion

Hall, D. L., & Llinas, J. (1997) · Proceedings of the IEEE

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 2,629

Unsupervised Visual Representation Learning by Context Prediction

Doersch, C., Gupta, A., & Efros, A. A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,629

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Duvenaud, D., Maclaurin, D., Aguilera-Iparraguirre, J., Gómez-Bombarelli, R., Hirzel, T., Aspuru-Guzik, A., & Adams, R. P. (2015) · arXiv

Computational Drug Discovery MethodsAdvanced Graph Neural Networks

Cited by 2,628

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Schlegl, T., Seeböck, P., Waldstein, S. M., Schmidt-Erfurth, U., & Langs, G. (2017) · Lecture Notes in Computer Science

Anomaly Detection Techniques and ApplicationsRetinal Imaging and Analysis

Cited by 2,627