Check computer science papers: citations, claims and retractions

NLTK: The Natural Language Toolkit

Bird, S. (2006) · Proceedings of the COLING/ACL on Interactive presentation sessions -

Natural Language Processing TechniquesComputational and Text Analysis Methods

Cited by 841

Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches

Hasan, M., Islam, M. M., Zarif, M. I. I., & Hashem, M. M. A. (2019) · Internet of Things

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 841

The state of immersive technology research: A literature analysis

Suh, A., & Prophet, J. (2018) · Computers in Human Behavior

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 841

Interacting with educational chatbots: A systematic review

Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023) · Education and Information Technologies

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 841

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Ethayarajh, K. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 841

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Saquib, N., Habib Kazi, R., Wei, L., & Li, W. (2019)

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 841

Analysis of emotion recognition using facial expressions, speech and multimodal information

Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C. M., Kazemzadeh, A., Lee, S., Neumann, U., & Narayanan, S. (2004) · Proceedings of the 6th international conference on Multimodal interfaces

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 840

Separating Style and Content with Bilinear Models

Tenenbaum, J. B., & Freeman, W. T. (2000) · Neural Computation

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 840

On the Number of Linear Regions of Deep Neural Networks

Montúfar, G., Pascanu, R., Cho, K., & Bengio, Y. (2014) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 840

Intelligent tutoring systems and learning outcomes: A meta-analysis

Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014) · Journal of Educational Psychology

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 840

Adaptive Federated Optimization

Reddi, S., Charles, Z., Zaheer, M., Garrett, Z., Rush, K., Konečný, J., Kumar, S., & McMahan, H. B. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 840

Verifynet: Secure and verifiable federated learning

Xu, G., Li, H., Liu, S., Yang, K., & Lin, X. (2020) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 839

On the role of entanglement in quantum-computational speed-up

Jozsa, R., & Linden, N. (2003) · Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 839

Benchmark analysis of representative deep neural network architectures

Bianco, S., Cadene, R., Celona, L., & Napoletano, P. (2018) · IEEE Access

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 838

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-Smith, J., & Schmidt, D. C. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 838

The ClinicalTrials.gov Results Database — Update and Key Issues

Zarin, D. A., Tse, T., Williams, R. J., Califf, R. M., & Ide, N. C. (2011) · New England Journal of Medicine

Research Data Management PracticesMeta-analysis and systematic reviews

Cited by 838

A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer

Bayar, B., & Stamm, M. C. (2016) · Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 838

Internet X.509 Public Key Infrastructure Certificate and CRL Profile

Housley, R., Ford, W., Polk, W., & Solo, D. (1999)

Advanced Authentication Protocols SecurityCryptography and Data Security

Cited by 837

Boson Sampling on a Photonic Chip

Spring, J. B., Metcalf, B. J., Humphreys, P. C., Kolthammer, W. S., Jin, X.-M., Barbieri, M., Datta, A., Thomas-Peter, N., Langford, N. K., Kundys, D., et al. (2013) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 837

A generic quantitative relationship between quality of experience and quality of service

Fiedler, M., Hossfeld, T., & Tran-Gia, P. (2010) · IEEE Network

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 837

An Analysis of Several Heuristics for the Traveling Salesman Problem

Rosenkrantz, D. J., Stearns, R. E., & Lewis, II (1977) · SIAM Journal on Computing

Complexity and Algorithms in GraphsVehicle Routing Optimization Methods

Cited by 837

Virtual Reality for Enhanced Ecological Validity and Experimental Control in the Clinical, Affective and Social Neurosciences

Parsons, T. D. (2015) · Frontiers in Human Neuroscience

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 837

Image Generation from Scene Graphs

Johnson, J., Gupta, A., & Fei-Fei, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 836

Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges

Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J. J., Lorca, J., & Folgueira, J. (2017) · IEEE Communications Magazine

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 836