Most cited computer science papers
- Verified
Multiple-Robot Simultaneous Localization and Mapping: A Review
Saeedi, S., Trentini, M., Seto, M., & Li, H. (2016) · Journal of Field Robotics
Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks
Cited by 324
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Anipose: A toolkit for robust markerless 3D pose estimation
Karashchuk, P., Rupp, K. L., Dickinson, E. S., Walling-Bell, S., Sanders, E., Azim, E., Brunton, B. W., & Tuthill, J. C. (2021) · Cell Reports
Human Pose and Action RecognitionVideo Surveillance and Tracking Methods
Cited by 324
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Generalized Denoising Auto-Encoders as Generative Models
Bengio, Y., Yao, L., Alain, G., & Vincent, P. (2013) · arXiv
Neural Networks and ApplicationsGaussian Processes and Bayesian Inference
Cited by 324
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Will massive open online courses change how we teach?
Martin, F. G. (2012) · Communications of the ACM
Online Learning and AnalyticsOnline and Blended Learning
Cited by 324
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Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Michaelis, C., Mitzkus, B., Geirhos, R., Rusak, E., Bringmann, O., Ecker, A. S., Bethge, M., & Brendel, W. (2019) · arXiv
Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning
Cited by 324
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Single-View View Synthesis With Multiplane Images
Tucker, R., & Snavely, N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Vision and ImagingGenerative Adversarial Networks and Image Synthesis
Cited by 324
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Online Knowledge Distillation with Diverse Peers
Chen, D., Mei, J.-P., Wang, C., Feng, Y., & Chen, C. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 324
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Layerwise learning for quantum neural networks
Skolik, A., McClean, J. R., Mohseni, M., van der Smagt, P., & Leib, M. (2021) · Quantum Machine Intelligence
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 324
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A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone
Wang, A., Chen, G., Yang, J., Zhao, S., & Chang, C.-Y. (2016) · IEEE Sensors Journal
Context-Aware Activity Recognition SystemsGait Recognition and Analysis
Cited by 324
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A White Paper on Neural Network Quantization
Nagel, M., Fournarakis, M., Amjad, R. A., Bondarenko, Y., van Baalen, M., & Blankevoort, T. (2021) · arXiv
Advanced Neural Network ApplicationsLow-power high-performance VLSI design
Cited by 323
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Is the cure worse than the disease? overfitting in automated program repair
Smith, E. K., Barr, E. T., Le Goues, C., & Brun, Y. (2015) · Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 323
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Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
Preuveneers, D., Rimmer, V., Tsingenopoulos, I., Spooren, J., Joosen, W., & Ilie-Zudor, E. (2018) · Applied Sciences
Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security
Cited by 323
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Learning in the Air: Secure Federated Learning for UAV-Assisted Crowdsensing
Wang, Y., Su, Z., Zhang, N., & Benslimane, A. (2021) · IEEE Transactions on Network Science and Engineering
Privacy-Preserving Technologies in DataUAV Applications and Optimization
Cited by 323
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IoT anomaly detection methods and applications: A survey
Chatterjee, A., & Ahmed, B. S. (2022) · Internet of Things
Anomaly Detection Techniques and ApplicationsNetwork Security and Intrusion Detection
Cited by 323
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Artificial intelligence meets natural stupidity
McDermott, D. (1976) · ACM SIGART Bulletin
Artificial Intelligence ApplicationsCybernetics and Technology in Society
Cited by 323
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RingMo: A Remote Sensing Foundation Model With Masked Image Modeling
Sun, X., Wang, P., Lu, W., Zhu, Z., Lu, X., He, Q., Li, J., Rong, X., Yang, Z., Chang, H., et al. (2023) · IEEE Transactions on Geoscience and Remote Sensing
Remote-Sensing Image ClassificationAdvanced Neural Network Applications
Cited by 323
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A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
Tran, P. V. (2016) · arXiv
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 323
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Context-Aware Emotion Recognition Networks
Lee, J., Kim, S., Kim, S., Park, J., & Sohn, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Emotion and Mood RecognitionFace recognition and analysis
Cited by 323
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SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Cong, Y., Khanna, S., Meng, C., Liu, P., Rozi, E., He, Y., Burke, M., Lobell, D. B., & Ermon, S. (2022) · arXiv
Remote-Sensing Image ClassificationRemote Sensing in Agriculture
Cited by 323
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Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination
Stone, P., Kaminka, G., Kraus, S., & Rosenschein, J. (2010) · Proceedings of the AAAI Conference on Artificial Intelligence
Multi-Agent Systems and NegotiationTeam Dynamics and Performance
Cited by 323
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Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Brendel, W., & Bethge, M. (2019) · arXiv
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 323
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Small-sample precision of ROC-related estimates
Hanczar, B., Hua, J., Sima, C., Weinstein, J., Bittner, M., & Dougherty, E. R. (2010) · Bioinformatics
Imbalanced Data Classification TechniquesGene expression and cancer classification
Cited by 323
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Reducing Gender Bias in Abusive Language Detection
Park, J. H., Shin, J., & Fung, P. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI
Cited by 323
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An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things
Pasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2015) · IEEE Journal of Biomedical and Health Informatics
Context-Aware Activity Recognition SystemsInternet of Things and AI
Cited by 323
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