Check computer science papers: citations, claims and retractions

Automatic analysis of facial expressions: the state of the art

Pantie, M., & Rothkrantz, L. J. M. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisEmotion and Mood Recognition

Cited by 1,778

Experimental Realization of Teleporting an Unknown Pure Quantum State via Dual Classical and Einstein-Podolsky-Rosen Channels

Boschi, D., Branca, S., De Martini, F., Hardy, L., & Popescu, S. (1998) · Physical Review Letters

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 1,777

Classification in the Presence of Label Noise: A Survey

Frenay, B., & Verleysen, M. (2014) · IEEE Transactions on Neural Networks and Learning Systems

Machine Learning and Data ClassificationText and Document Classification Technologies

Cited by 1,777

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., et al. (2016) · Scientific Data

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 1,775

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., & Sabella, D. (2017) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 1,775

Can we open the black box of AI?

Castelvecchi, D. (2016) · Nature

Explainable Artificial Intelligence (XAI)Artificial Intelligence Applications

Cited by 1,773

On the Convergence of Adam and Beyond

Reddi, S. J., Kale, S., & Kumar, S. (2019) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 1,771

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Hundman, K., Constantinou, V., Laporte, C., Colwell, I., & Soderstrom, T. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 1,771

The rise of deep learning in drug discovery

Chen, H., Engkvist, O., Wang, Y., Olivecrona, M., & Blaschke, T. (2018) · Drug Discovery Today

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 1,770

Topological quantum memory

Dennis, E., Kitaev, A., Landahl, A., & Preskill, J. (2002) · Journal of Mathematical Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,768

Why 90% of clinical drug development fails and how to improve it?

Sun, D., Gao, W., Hu, H., & Zhou, S. (2022) · Acta Pharmaceutica Sinica B

Computational Drug Discovery MethodsAnimal testing and alternatives

Cited by 1,763

Neural Architecture Search: A Survey

Elsken, T., Metzen, J. H., & Hutter, F. (2018) · arXiv

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 1,763

Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

Moorthy, A. K., & Bovik, A. C. (2011) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 1,763

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1,762

The irace package: Iterated racing for automatic algorithm configuration

López-Ibáñez, M., Dubois-Lacoste, J., Pérez Cáceres, L., Birattari, M., & Stützle, T. (2016) · Operations Research Perspectives

Metaheuristic Optimization Algorithms ResearchMachine Learning and Data Classification

Cited by 1,761

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Nasr, M., Shokri, R., & Houmansadr, A. (2019) · 2019 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1,760

Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network

Peng, C., Zhang, X., Yu, G., Luo, G., & Sun, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,750

Scaling Laws for Neural Language Models

Kaplan, J., McCandlish, S., Henighan, T., Brown, T. B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., & Amodei, D. (2020) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 1,749

How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence

Cummings, J. J., & Bailenson, J. N. (2016) · Media Psychology

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 1,749

Improved Baselines with Visual Instruction Tuning

Liu, H., Li, C., Li, Y., & Lee, Y. J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 1,748

Face2Face: Real-Time Face Capture and Reenactment of RGB Videos

Thies, J., Zollhofer, M., Stamminger, M., Theobalt, C., & Niessner, M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisHuman Motion and Animation

Cited by 1,747

Tacotron: towards end-to-end speech synthesis

Wang, Y., Skerry-Ryan, R. J., Stanton, D., Wu, Y., Weiss, R. J., Jaitly, N., Yang, Z., Xiao, Y., Chen, Z., Bengio, S., et al. (2017) · Interspeech 2017

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,746

Recognizing action units for facial expression analysis

Tian, Y.-I., Kanade, T., & Cohn, J. F. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisEmotion and Mood Recognition

Cited by 1,745

A Structured Self-attentive Sentence Embedding

Lin, Z., Feng, M., Santos, C. N. D., Yu, M., Xiang, B., Zhou, B., & Bengio, Y. (2017) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 1,743