Check computer science papers: citations, claims and retractions

Conversation Technology With Micro-Learning: The Impact of Chatbot-Based Learning on Students’ Learning Motivation and Performance

Yin, J., Goh, T.-T., Yang, B., & Xiaobin, Y. (2021) · Journal of Educational Computing Research

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 349

Combining Residual Networks with LSTMs for Lipreading

Stafylakis, T., & Tzimiropoulos, G. (2017) · Interspeech 2017

Speech and Audio ProcessingHand Gesture Recognition Systems

Cited by 348

Handbook of Emotion Elicitation and Assessment

(2007)

Emotion and Mood RecognitionPsychological Testing and Assessment

Cited by 348

A Survey on Zero Trust Architecture: Challenges and Future Trends

He, Y., Huang, D., Chen, L., Ni, Y., & Ma, X. (2022) · Wireless Communications and Mobile Computing

Access Control and TrustCybersecurity and Information Systems

Cited by 348

Fault-tolerant control of an error-corrected qubit

Egan, L., Debroy, D. M., Noel, C., Risinger, A., Zhu, D., Biswas, D., Newman, M., Li, M., Brown, K. R., Cetina, M., et al. (2021) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 348

GradNet: Gradient-Guided Network for Visual Object Tracking

Li, P., Chen, B., Ouyang, W., Wang, D., Yang, X., & Lu, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 348

Measuring Bias in Contextualized Word Representations

Kurita, K., Vyas, N., Pareek, A., Black, A. W., & Tsvetkov, Y. (2019) · Proceedings of the First Workshop on Gender Bias in Natural Language Processing

Ethics and Social Impacts of AITopic Modeling

Cited by 348

Pixel-Adaptive Convolutional Neural Networks

Su, H., Jampani, V., Sun, D., Gallo, O., Learned-Miller, E., & Kautz, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesAdvanced Neural Network Applications

Cited by 348

Artificial convolution neural network techniques and applications for lung nodule detection

Lo, S.-C. B., Lou, S.-L. A., Lin, J.-S., Freedman, M. T., Chien, M. V., & Mun, S. K. (1995) · IEEE Transactions on Medical Imaging

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 348

Quantifying controversy on social media

Garimella, K., Morales, G. D. F., Gionis, A., & Mathioudakis, M. (2018) · ACM Transactions on Social Computing

Sentiment Analysis and Opinion MiningMisinformation and Its Impacts

Cited by 348

Style transfer through back-translation

Prabhumoye, S., Tsvetkov, Y., Salakhutdinov, R., & Black, A. W. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Generative Adversarial Networks and Image SynthesisAuthorship Attribution and Profiling

Cited by 348

Can You Really Backdoor Federated Learning?

Sun, Z., Kairouz, P., Suresh, A. T., & McMahan, H. B. (2019) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 348

A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned

Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2019) · Magnetic Resonance Imaging

Brain Tumor Detection and ClassificationGlioma Diagnosis and Treatment

Cited by 348

Neural Programmer-Interpreters

Reed, S., & de Freitas, N. (2015) · arXiv

Neural Networks and ApplicationsTeaching and Learning Programming

Cited by 347

Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics

Hossain, M. S., Muhammad, G., & Guizani, N. (2020) · IEEE Network

IoT and Edge/Fog ComputingCOVID-19 diagnosis using AI

Cited by 347

Multimodal Emotion Recognition using Deep Learning

Abdullah, S. M. S. A., Ameen, S. Y. A., M. Sadeeq, M. A., & Zeebaree, S. (2021) · Journal of Applied Science and Technology Trends

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 347

Automatic fruit classification using deep learning for industrial applications

Hossain, M. S., Al-Hammadi, M., & Muhammad, G. (2019) · IEEE Transactions on Industrial Informatics

Advanced Neural Network ApplicationsSmart Agriculture and AI

Cited by 347

Blockchain-based data preservation system for medical data

Li, H., Zhu, L., Shen, M., Gao, F., Tao, X., & Liu, S. (2018) · Journal of Medical Systems

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 347

Data Augmentation techniques in time series domain: a survey and taxonomy

Iglesias, G., Talavera, E., González-Prieto, Á., Mozo, A., & Gómez-Canaval, S. (2023) · Neural Computing and Applications

Time Series Analysis and ForecastingStock Market Forecasting Methods

Cited by 347

The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity

Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2019) · Journal of Business Ethics

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 347

Quantum algorithms for fermionic simulations

Ortiz, G., Gubernatis, J. E., Knill, E., & Laflamme, R. (2001) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 347

Shapley values for feature selection: the good, the bad, and the axioms

Fryer, D., Strumke, I., & Nguyen, H. (2021) · IEEE Access

Explainable Artificial Intelligence (XAI)Game Theory and Voting Systems

Cited by 347

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

Chen, L.-C., Collins, M. D., Zhu, Y., Papandreou, G., Zoph, B., Schroff, F., Adam, H., & Shlens, J. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 347

Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

Zhang, B., Shi, H., & Wang, H. (2023) · Journal of Multidisciplinary Healthcare

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 347