Check computer science papers: citations, claims and retractions

A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020) · Computers & Education

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 3,585

UNETR: Transformers for 3D Medical Image Segmentation

Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H., & Xu, D. (2021) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 3,580

Neural Networks and the Bias/Variance Dilemma

Geman, S., Bienenstock, E., & Doursat, R. (1992) · Neural Computation

Neural Networks and ApplicationsMachine Learning and Algorithms

Cited by 3,578

Dense passage retrieval for open-domain question answering

Karpukhin, V., Oguz, B., Min, S., Lewis, P., Wu, L., Edunov, S., Chen, D., & Yih, W.-T. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3,575

Supervised Contrastive Learning

Khosla, P., Teterwak, P., Wang, C., Sarna, A., Tian, Y., Isola, P., Maschinot, A., Liu, C., & Krishnan, D. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 3,569

Masked-attention Mask Transformer for Universal Image Segmentation

Cheng, B., Misra, I., Schwing, A. G., Kirillov, A., & Girdhar, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,565

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., et al. (2018) · Science

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 3,562

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Park, D. S., Chan, W., Zhang, Y., Chiu, C.-C., Zoph, B., Cubuk, E. D., & Le, Q. V. (2019) · Interspeech 2019

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 3,558

RRT-connect: An efficient approach to single-query path planning

Kuffner, J. J., & LaValle, S. M. (2000) · Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065)

Robotic Path Planning AlgorithmsReinforcement Learning in Robotics

Cited by 3,555

Neural network-based face detection

Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisFace and Expression Recognition

Cited by 3,554

Front-End Factor Analysis for Speaker Verification

Dehak, N., Kenny, P. J., Dehak, R., Dumouchel, P., & Ouellet, P. (2011) · IEEE Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 3,549

Deep Neural Networks for YouTube Recommendations

Covington, P., Adams, J., & Sargin, E. (2016) · Proceedings of the 10th ACM Conference on Recommender Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 3,539

Morphological Image Analysis: Principles and Applications

Soille, P. (2000) · Sensor Review

Digital Image Processing TechniquesMedical Image Segmentation Techniques

Cited by 3,537

Gaussian Error Linear Units (GELUs)

Hendrycks, D., & Gimpel, K. (2016) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 3,537

Heuristic evaluation of user interfaces

Nielsen, J., & Molich, R. (1990) · Proceedings of the SIGCHI conference on Human factors in computing systems Empowering people - CHI '90

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 3,533

A theory of learning from different domains

Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., & Vaughan, J. W. (2010) · Machine Learning

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 3,515

How many drug targets are there?

Overington, J. P., Al-Lazikani, B., & Hopkins, A. L. (2006) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsPharmaceutical Economics and Policy

Cited by 3,505

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

Rawat, W., & Wang, Z. (2017) · Neural Computation

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,503

Safeguarding cryptographic keys

BLAKLEY, G. R. (1979) · 1979 International Workshop on Managing Requirements Knowledge (MARK)

Security and Verification in ComputingCryptography and Data Security

Cited by 3,499

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Kamnitsas, K., Ledig, C., Newcombe, V. F. J., Simpson, J. P., Kane, A. D., Menon, D. K., Rueckert, D., & Glocker, B. (2017) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 3,498

Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel

Kincaid, J. P., Fishburne, Jr., Robert P., R., Richard L., C., & Brad, S. (1975)

Text Readability and SimplificationReading and Literacy Development

Cited by 3,497

The Future of Digital Health with Federated Learning

Rieke, N., Hancox, J., Li, W., Milletari, F., Roth, H., Albarqouni, S., Bakas, S., Galtier, M. N., Landman, B., Maier-Hein, K., et al. (2020) · arXiv

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 3,495

Practical Black-Box Attacks against Machine Learning

Papernot, N., McDaniel, P., Goodfellow, I., Jha, S., Celik, Z. B., & Swami, A. (2017) · Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 3,495

Quantum Repeaters: The Role of Imperfect Local Operations in Quantum Communication

Briegel, H.-J., Dür, W., Cirac, J. I., & Zoller, P. (1998) · Physical Review Letters

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 3,481