Check computer science papers: citations, claims and retractions

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

Zhang, J., Fan, D.-P., Dai, Y., Anwar, S., Saleh, F. S., Zhang, T., & Barnes, N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Visual Attention and Saliency DetectionAdvanced Neural Network Applications

Cited by 423

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

Lotter, W., Diab, A. R., Haslam, B., Kim, J. G., Grisot, G., Wu, E., Wu, K., Onieva, J. O., Boyer, Y., Boxerman, J. L., et al. (2021) · Nature Medicine

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 423

Spell: Streaming Parsing of System Event Logs

Du, M., & Li, F. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Software System Performance and ReliabilityAdvanced Database Systems and Queries

Cited by 423

A survey of real-time strategy game AI research and competition in StarCraft

Ontanon, S., Synnaeve, G., Uriarte, A., Richoux, F., Churchill, D., & Preuss, M. (2013) · IEEE Transactions on Computational Intelligence and AI in Games

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 423

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Hoefler, T., Alistarh, D., Ben-Nun, T., Dryden, N., & Peste, A. (2021) · ETH Zurich

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 423

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization

Abdulaal, A., Liu, Z., & Lancewicki, T. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 423

GPLAG: detection of software plagiarism by program dependence graph analysis

Liu, C., Chen, C., Han, J., & Yu, P. S. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 422

Low vs. high-fidelity prototyping debate

Rudd, J., Stern, K., & Isensee, S. (1996) · Interactions

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 422

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

Bragg, D., Koller, O., Bellard, M., Berke, L., Boudreault, P., Braffort, A., Caselli, N., Huenerfauth, M., Kacorri, H., Verhoef, T., et al. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility

Hand Gesture Recognition SystemsHearing Impairment and Communication

Cited by 422

Multiscale Feature Extraction and Fusion of Image and Text in VQA

Lu, S., Ding, Y., Liu, M., Yin, Z., Yin, L., & Zheng, W. (2023) · International Journal of Computational Intelligence Systems

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 422

Causal network reconstruction from time series: From theoretical assumptions to practical estimation

Runge, J. (2018) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Bayesian Modeling and Causal InferenceComplex Systems and Time Series Analysis

Cited by 422

The Trouble with Algorithmic Decisions: An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making

Zarsky, T. (2016) · Science, Technology, & Human Values

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 422

Coverage in sensor networks via persistent homology

de Silva, V., & Ghrist, R. (2007) · Algebraic & Geometric Topology

Topological and Geometric Data AnalysisHomotopy and Cohomology in Algebraic Topology

Cited by 422

A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

Verma, S., Kawamoto, Y., Fadlullah, Z. M., Nishiyama, H., & Kato, N. (2017) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 422

Why We Need New Evaluation Metrics for NLG

Novikova, J., Dušek, O., Cercas Curry, A., & Rieser, V. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 422

A Study of Encryption Algorithms (RSA, DES, 3DES and AES) for Information Security

Singh, G., & Supriya, S. (2013) · International Journal of Computer Applications

Cryptographic Implementations and SecurityComputer Science and Engineering

Cited by 422

Truth inference in crowdsourcing: is the problem solved?

Zheng, Y., Li, G., Li, Y., Shan, C., & Cheng, R. (2017) · Proceedings of the VLDB Endowment

Mobile Crowdsensing and CrowdsourcingExpert finding and Q&A systems

Cited by 421

IEEE 802.11ax: High-efficiency WLANS

Bellalta, B. (2016) · IEEE Wireless Communications

Wireless Networks and ProtocolsAdvanced Wireless Network Optimization

Cited by 421

Deep learning with multimodal representation for pancancer prognosis prediction

Cheerla, A., & Gevaert, O. (2019) · Bioinformatics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 421

Deep learning for unmanned aerial vehicle-based object detection and tracking: a survey

Wu, X., Li, W., Hong, D., Tao, R., & Du, Q. (2022) · IEEE Geoscience and Remote Sensing Magazine

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 421

Self-Supervised Video Representation Learning with Odd-One-Out Networks

Fernando, B., Bilen, H., Gavves, E., & Gould, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 421

A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

Liu, Q., Li, P., Zhao, W., Cai, W., Yu, S., & Leung, V. C. M. (2018) · IEEE Access

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 421

Shor's discrete logarithm quantum algorithm for elliptic curves

Proos, J., & Zalka, C. (2003) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 421

Multi-resource packing for cluster schedulers

Grandl, R., Ananthanarayanan, G., Kandula, S., Rao, S., & Akella, A. (2014) · Proceedings of the 2014 ACM conference on SIGCOMM

Distributed and Parallel Computing SystemsCloud Computing and Resource Management

Cited by 421