Check computer science papers: citations, claims and retractions

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Lee, H., Grosse, R., Ranganath, R., & Ng, A. Y. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 2,412

Automatic subspace clustering of high dimensional data for data mining applications

Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data

Advanced Clustering Algorithms ResearchData Management and Algorithms

Cited by 2,412

Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking.

Mysinger, M. M., Carchia, M., Irwin, J. J., & Shoichet, B. K. (2012) · Journal of Medicinal Chemistry

Computational Drug Discovery MethodsProtein Degradation and Inhibitors

Cited by 2,412

Comprehensive analysis of kinase inhibitor selectivity

Davis, M. I., Hunt, J. P., Herrgard, S., Ciceri, P., Wodicka, L. M., Pallares, G., Hocker, M., Treiber, D. K., & Zarrinkar, P. P. (2011) · Nature Biotechnology

Computational Drug Discovery MethodsProtein Kinase Regulation and GTPase Signaling

Cited by 2,409

A Markovian decision process

Bellman, R. (1957) · Indiana University Mathematics Journal

Adaptive Dynamic Programming ControlProbability and Statistical Research

Cited by 2,408

One Pixel Attack for Fooling Deep Neural Networks

Su, J., Vargas, D. V., & Sakurai, K. (2019) · IEEE Transactions on Evolutionary Computation

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 2,406

Dataset of breast ultrasound images

Al-Dhabyani, W., Gomaa, M., Khaled, H., & Fahmy, A. (2020) · Data in Brief

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 2,405

Quantum computational advantage using photons

Zhong, H.-S., Wang, H., Deng, Y.-H., Chen, M.-C., Peng, L.-C., Luo, Y.-H., Qin, J., Wu, D., Ding, X., Hu, Y., et al. (2020) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 2,405

The influence of drug-like concepts on decision-making in medicinal chemistry

Leeson, P. D., & Springthorpe, B. (2007) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsDrug Solubulity and Delivery Systems

Cited by 2,403

Relating protein pharmacology by ligand chemistry

Keiser, M. J., Roth, B. L., Armbruster, B. N., Ernsberger, P., Irwin, J. J., & Shoichet, B. K. (2007) · Nature Biotechnology

Computational Drug Discovery MethodsReceptor Mechanisms and Signaling

Cited by 2,402

Entanglement detection

Gühne, O., & Tóth, G. (2009) · Physics Reports

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 2,401

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

Wei, K., Li, J., Ding, M., Ma, C., Yang, H. H., Farokhi, F., Jin, S., Quek, T. Q. S., & Vincent Poor, H. (2020) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 2,400

Understanding deep learning (still) requires rethinking generalization

Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2021) · Communications of the ACM

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 2,400

A review of wearable sensors and systems with application in rehabilitation

Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 2,396

Lessons from Applying the Systematic Literature Review Process within the Software Engineering Domain

Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007) · Journal of Systems and Software

Software Engineering Techniques and PracticesMeta-analysis and systematic reviews

Cited by 2,394

Self-Training With Noisy Student Improves ImageNet Classification

Xie, Q., Luong, M.-T., Hovy, E., & Le, Q. V. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 2,393

A survey of mobile cloud computing: architecture, applications, and approaches

Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013) · Wireless Communications and Mobile Computing

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 2,391

Implementing fault-tolerant services using the state machine approach: a tutorial

Schneider, F. B. (1990) · ACM Computing Surveys

Distributed systems and fault toleranceSoftware System Performance and Reliability

Cited by 2,387

Conditional Random Fields as Recurrent Neural Networks

Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., & Torr, P. H. S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 2,386

Vision Transformers for Dense Prediction

Ranftl, R., Bochkovskiy, A., & Koltun, V. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,373

Robust De-anonymization of Large Sparse Datasets

Narayanan, A., & Shmatikov, V. (2008) · 2008 IEEE Symposium on Security and Privacy (sp 2008)

Privacy-Preserving Technologies in DataInternet Traffic Analysis and Secure E-voting

Cited by 2,372

ChEMBL: towards direct deposition of bioassay data

Mendez, D., Gaulton, A., Bento, A. P., Chambers, J., De Veij, M., Félix, E., Magariños, M. P., Mosquera, J. F., Mutowo, P., Nowotka, M., et al. (2019) · Nucleic Acids Research

Computational Drug Discovery MethodsResearch Data Management Practices

Cited by 2,372

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Che, Z., Purushotham, S., Cho, K., Sontag, D., & Liu, Y. (2018) · Scientific Reports

Time Series Analysis and ForecastingMachine Learning in Healthcare

Cited by 2,370

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Baevski, A., Zhou, H., Mohamed, A., & Auli, M. (2020) · arXiv

Parallel Computing and Optimization TechniquesDistributed systems and fault tolerance

Cited by 2,369