Check computer science papers: citations, claims and retractions

Special Section: The Transformative Value of Cloud Computing: A Decoupling, Platformization, and Recombination Theoretical Framework

Benlian, A., Kettinger, W. J., Sunyaev, A., Winkler, T. J., & EDITORS, G. (2018) · Journal of Management Information Systems

Cloud Computing and Resource ManagementDigital Platforms and Economics

Cited by 161

Noise or Signal: The Role of Image Backgrounds in Object Recognition

Xiao, K., Engstrom, L., Ilyas, A., & Madry, A. (2020) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 161

A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification

Peikari, M., Salama, S., Nofech-Mozes, S., & Martel, A. L. (2018) · Scientific Reports

AI in cancer detectionMachine Learning and Algorithms

Cited by 161

Unifying Human and Statistical Evaluation for Natural Language Generation

Hashimoto, T. B., Zhang, H., & Liang, P. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 161

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

Hancock, B., Bordes, A., Mazare, P.-E., & Weston, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 161

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Aher, G., Arriaga, R. I., & Kalai, A. T. (2022) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 161

Deictic believability: Coordinated gesture, locomotion, and speech in lifelike pedagogical agents

Lester, J. C., Voerman, J. L., Towns, S. G., & Callaway, C. B. (1999) · Applied Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI

Cited by 161

Simultaneous single-and multi-contrast super-resolution for brain MRI images based on a convolutional neural network

Zeng, K., Zheng, H., Cai, C., Yang, Y., Zhang, K., & Chen, Z. (2018) · Computers in Biology and Medicine

Advanced Image Processing TechniquesAdvanced MRI Techniques and Applications

Cited by 161

Dealing with sensor displacement in motion-based onbody activity recognition systems

Kunze, K., & Lukowicz, P. (2008) · Proceedings of the 10th international conference on Ubiquitous computing

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 161

ArtEmis: Affective Language for Visual Art

Achlioptas, P., Ovsjanikov, M., Haydarov, K., Elhoseiny, M., & Guibas, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 161

Force-feedback improves performance for steering and combined steering-targeting tasks

Dennerlein, J. T., Martin, D. B., & Hasser, C. (2000) · Proceedings of the SIGCHI conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysMotor Control and Adaptation

Cited by 161

Critiquing the Reasons for Making Artificial Moral Agents

van Wynsberghe, A., & Robbins, S. (2019) · Science and Engineering Ethics

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 161

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Dinan, E., Humeau, S., Chintagunta, B., & Weston, J. (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)

Adversarial Robustness in Machine LearningSpeech and dialogue systems

Cited by 161

Distinct illusory own-body perceptions caused by damage to posterior insula and extrastriate cortex.

Heydrich, L., & Blanke, O. (2013) · Brain

Virtual Reality Applications and ImpactsHallucinations in medical conditions

Cited by 161

Transformation of quantum states using uniformly controlled rotations

Mottonen, M., Vartiainen, J. J., Bergholm, V., & Salomaa, M. M. (2005) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 161

Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making

Marda, V. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 161

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

Zhang, Y., Park, D. S., Han, W., Qin, J., Gulati, A., Shor, J., Jansen, A., Xu, Y., Huang, Y., Wang, S., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 161

Detecting and Preventing Hallucinations in Large Vision Language Models

Gunjal, A., Yin, J., & Bas, E. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 161

Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face

Lucey, S., Bilal, A., & F., J. (2007) · Face Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 161

Improving chest X-ray report generation by leveraging warm starting

Nicolson, A., Dowling, J., & Koopman, B. (2023) · Artificial Intelligence in Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 161

Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems

Abdel-Basset, M., Moustafa, N., Hawash, H., Razzak, I., Sallam, K. M., & Elkomy, O. M. (2022) · IEEE Transactions on Intelligent Transportation Systems

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 161

Chimera: enabling hierarchy based multi-objective optimization for self-driving laboratories

Häse, F., Roch, L. M., & Aspuru-Guzik, A. (2018) · Chemical Science

Advanced Multi-Objective Optimization AlgorithmsMachine Learning in Materials Science

Cited by 161

Hierarchical and Networked Vehicle Surveillance in ITS: A Survey

Tian, B., Morris, B. T., Tang, M., Liu, Y., Yao, Y., Gou, C., Shen, D., & Tang, S. (2017) · IEEE Transactions on Intelligent Transportation Systems

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 160

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

Li, J., Xu, R., Ma, J., Zou, Q., Ma, J., & Yu, H. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 160