Check computer science papers: citations, claims and retractions

Securing user identity and transactions symbiotically: IoT meets blockchain

Kravitz, D. W., & Cooper, J. (2017) · 2017 Global Internet of Things Summit (GIoTS)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 110

Physiological compliance for social gaming analysis: Cooperative versus competitive play

Chanel, G., Kivikangas, J. M., & Ravaja, N. (2012) · Interacting with Computers

Virtual Reality Applications and ImpactsDigital Games and Media

Cited by 110

Interpretation of tomography and spectroscopy as dual forms of quantum computation

Miquel, C., Paz, J. P., Saraceno, M., Knill, E., Laflamme, R., & Negrevergne, C. (2002) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 110

Evaluation of stream processing frameworks

van Dongen, G., & Van den Poel, D. (2020) · IEEE Transactions on Parallel and Distributed Systems

Advanced Database Systems and QueriesCloud Computing and Resource Management

Cited by 110

Understanding and Visualizing Data Iteration in Machine Learning

Hohman, F., Wongsuphasawat, K., Kery, M. B., & Patel, K. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsSoftware Engineering Research

Cited by 110

An efficient quantum algorithm for the time evolution of parameterized circuits

Barison, S., Vicentini, F., & Carleo, G. (2021) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 110

Object Categorization: Computer and Human Vision Perspectives

(2009) · Cambridge University Press eBooks

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 110

Trackly: A Customisable and Pictorial Self-Tracking App to Support Agency in Multiple Sclerosis Self-Care

Ayobi, A., Marshall, P., & Cox, A. L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 110

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Guo, J., Han, K., Wang, Y., Zhang, C., Yang, Z., Wu, H., Chen, X., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 110

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks

Dong, Z., Yao, Z., Cai, Y., Arfeen, D., Gholami, A., Mahoney, M. W., & Keutzer, K. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 110

Recognizing Facial Expressions Using a Shallow Convolutional Neural Network

Miao, S., Xu, H., Han, Z., & Zhu, Y. (2019) · IEEE Access

Emotion and Mood RecognitionFace recognition and analysis

Cited by 110

Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors

Zamkah, A., Hui, T., Andrews, S., Dey, N., Shi, F., & Sherratt, R. S. (2020) · Biosensors

Emotion and Mood RecognitionAdvanced Sensor and Energy Harvesting Materials

Cited by 110

Fog Computing and Edge Computing Architectures for Processing Data From Diabetes Devices Connected to the Medical Internet of Things

Klonoff, D. C. (2017) · Journal of Diabetes Science and Technology

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 110

Experimental realization of quantum algorithm for solving linear systems of equations

Pan, J., Cao, Y., Yao, X., Li, Z., Ju, C., Chen, H., Peng, X., Kais, S., & Du, J. (2014) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 110

Dynamic YOLO for small underwater object detection

Chen, J., & Er, M. J. (2024) · Artificial Intelligence Review

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 110

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation

Liao, C., Zhong, H., Squicciarini, A., Zhu, S., & Miller, D. (2018) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 110

Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

Bzai, J., Alam, F., Dhafer, A., Bojović, M., Altowaijri, S. M., Niazi, I. K., & Mehmood, R. (2022) · Electronics

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 110

Large Language Models are Better Reasoners with Self-Verification

Weng, Y., Zhu, M., Xia, F., Li, B., He, S., Liu, S., Sun, B., Liu, K., & Zhao, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 110

Usability Heuristics for Touchscreen-based Mobile Devices

Inostroza, R., Rusu, C., Roncagliolo, S., Jimenez, C., & Rusu, V. (2012) · 2012 Ninth International Conference on Information Technology - New Generations

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 110

Predictive automatic relevance determination by expectation propagation

Qi, Y. (., Minka, T. P., Picard, R. W., & Ghahramani, Z. (2004) · Twenty-first international conference on Machine learning - ICML '04

Gaussian Processes and Bayesian InferenceStatistical Methods and Inference

Cited by 110

An exploration of discussion threads in social news sites: a case study of the Reddit community

Weninger, T., Zhu, X. A., & Han, J. (2013) · Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 110

Ignore Previous Prompt: Attack Techniques For Language Models

Perez, F., & Ribeiro, I. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 110

MuTual: A Dataset for Multi-Turn Dialogue Reasoning

Cui, L., Wu, Y., Liu, S., Zhang, Y., & Zhou, M. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 110

Artificial Intelligence and Data Fusion at the Edge

Munir, A., Blasch, E., Kwon, J., Kong, J., & Aved, A. (2021) · IEEE Aerospace and Electronic Systems Magazine

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 110