Check computer science papers: citations, claims and retractions

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Chen, B., Carvalho, W., Baracaldo, N., Ludwig, H., Edwards, B., Lee, T., Molloy, I., & Srivastava, B. (2018) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 485

Computer Security Incident Handling Guide : Recommendations of the National Institute of Standards and Technology

Cichonski, P., Millar, T., Grance, T., & Scarfone, K. (2012)

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 485

Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

Bloesch, M., Burri, M., Omari, S., Hutter, M., & Siegwart, R. (2017) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 485

Time delay estimation for passive sonar signal processing

Carter, G. (1981) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Target Tracking and Data Fusion in Sensor NetworksDirection-of-Arrival Estimation Techniques

Cited by 484

ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge

Wu, Z., Kinnunen, T., Evans, N., Yamagishi, J., Hanilçi, C., Sahidullah, M., & Sizov, A. (2015) · Interspeech 2015

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 484

Monocular model-based 3D tracking of rigid objects: a survey

Lepetit, V., & Fua, P. (2005) · Foundations and Trends® in Computer Graphics and Vision

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 484

A Hybrid Feature Extraction Method with Regularized Extreme Learning Machine for Brain Tumor Classification

Gumaei, A., Hassan, M. M., Hassan, M. R., Alelaiwi, A., & Fortino, G. (2019) · IEEE Access

Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging

Cited by 484

A Survey of DevOps Concepts and Challenges

Leite, L., Rocha, C., Kon, F., Milojicic, D., & Meirelles, P. (2020) · ACM Computing Surveys

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 484

On the interpretability of artificial intelligence in radiology: challenges and opportunities

Reyes, M., Meier, R., Pereira, S., Silva, C. A., Dahlweid, F.-M., Tengg-Kobligk, H. V., Summers, R. M., & Wiest, R. (2020) · Radiology: Artificial Intelligence

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 484

Value Iteration Networks

Tamar, A., Wu, Y., Thomas, G., Levine, S., & Abbeel, P. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 484

Mixture contrast limited adaptive histogram equalization for underwater image enhancement

Hitam, M. S., Yussof, W. N. J. H. W., Awalludin, E. A., & Bachok, Z. (2013) · 2013 International Conference on Computer Applications Technology (ICCAT)

Image Enhancement TechniquesUnderwater Vehicles and Communication Systems

Cited by 484

Operationalizing the CARE and FAIR Principles for Indigenous data futures

Carroll, S. R., Herczog, E., Hudson, M., Russell, K., & Stall, S. (2021) · Scientific Data

Research Data Management PracticesData Analysis and Archiving

Cited by 483

Improved Random Forest for Classification

Paul, A., Mukherjee, D. P., Das, P., Gangopadhyay, A., Chintha, A. R., & Kundu, S. (2018) · IEEE Transactions on Image Processing

Machine Learning and Data ClassificationStatistical Methods and Inference

Cited by 483

Orientation robust object detection in aerial images using deep convolutional neural network

Zhu, H., Chen, X., Dai, W., Fu, K., Ye, Q., & Jiao, J. (2015) · 2015 IEEE International Conference on Image Processing (ICIP)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 483

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Husain, H., Wu, H.-H., Gazit, T., Allamanis, M., & Brockschmidt, M. (2019) · arXiv

Software Engineering ResearchInformation Retrieval and Search Behavior

Cited by 483

A survey on essential components of a self-sovereign identity

Mühle, A., Grüner, A., Gayvoronskaya, T., & Meinel, C. (2018) · Computer Science Review

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 483

Federated learning over wireless networks Convergence analysis and resource allocation

Dinh, C. T., Tran, N. H., Nguyen, M. N. H., Hong, C. S., Bao, W., Zomaya, A. Y., & Gramoli, V. (2021) · IEEE/ACM Transactions on Networking

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 483

Routing Attacks and Countermeasures in the RPL-Based Internet of Things

Wallgren, L., Raza, S., & Voigt, T. (2013) · International Journal of Distributed Sensor Networks

Security in Wireless Sensor NetworksNetwork Security and Intrusion Detection

Cited by 483

Rediscovering the use of chatbots in education: A systematic literature review

Pérez, J. Q., Daradoumis, T., & Puig, J. M. M. (2020) · Computer Applications in Engineering Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 483

Adaptable Blockchain-Based Systems: A Case Study for Product Traceability

Lu, Q., & Xu, X. (2017) · IEEE Software

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 483

The Availability of Research Data Declines Rapidly with Article Age

Vines, T. H., Albert, A. Y. K., Andrew, R. L., Débarre, F., Bock, D. G., Franklin, M. T., Gilbert, K. J., Moore, J.-S., Renaut, S., & Rennison, D. J. (2014) · Current Biology

Research Data Management PracticesData Analysis and Archiving

Cited by 482

Improved Techniques for Training Score-Based Generative Models

Song, Y., & Ermon, S. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 482

Zero-Shot Relation Extraction via Reading Comprehension

Levy, O., Seo, M., Choi, E., & Zettlemoyer, L. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 482

Zero-Shot Relation Extraction via Reading Comprehension

Levy, O., Seo, M., Choi, E., & Zettlemoyer, L. (2017) · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

Topic ModelingNatural Language Processing Techniques

Cited by 482