Check computer science papers: citations, claims and retractions

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

Doran, D., Schulz, S., & Besold, T. R. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 333

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series

Zhou, B., Liu, S., Hooi, B., Cheng, X., & Ye, J. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsECG Monitoring and Analysis

Cited by 333

The Ethics of Artificial Intelligence

Bostrom, N., & Yudkowsky, E. (2018) · Artificial Intelligence Safety and Security

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 333

A survey of limitations and enhancements of the ipv6 routing protocol for low-power and lossy networks: A focus on core operations

Ghaleb, B., Al-Dubai, A. Y., Ekonomou, E., Alsarhan, A., Nasser, Y., Mackenzie, L. M., & Boukerche, A. (2019) · IEEE Communications Surveys & Tutorials

Energy Efficient Wireless Sensor NetworksIPv6, Mobility, Handover, Networks, Security

Cited by 333

A generalist vision-language foundation model for diverse biomedical tasks

Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 333

Valence-bond states for quantum computation

Verstraete, F., & Cirac, J. I. (2004) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 333

Fairness and load balancing in wireless LANs using association control

Bejerano, Y., Han, S.-J., & Li, L. (. (2004) · Proceedings of the 10th annual international conference on Mobile computing and networking

Wireless Networks and ProtocolsAdvanced Wireless Network Optimization

Cited by 333

Distributed Computing: Principles, Algorithms, and Systems

Kshemkalyani, A. D., & Singhal, M. (2008) · Cambridge University Press eBooks

Distributed systems and fault toleranceDistributed and Parallel Computing Systems

Cited by 333

High-level perception, representation, and analogy: A critique of artificial intelligence methodology

CHALMERS, D. J., FRENCH, R. M., & HOFSTADTER, D. R. (1992) · Journal of Experimental & Theoretical Artificial Intelligence

Cognitive Computing and NetworksPsychiatry, Mental Health, Neuroscience

Cited by 333

Evaluation of safety-critical software

Parnas, D. L., van Schouwen, A. J., & Kwan, S. P. (1990) · Communications of the ACM

Software Reliability and Analysis ResearchSafety Systems Engineering in Autonomy

Cited by 333

Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city

Rahman, M. A., Rashid, M. M., Hossain, M. S., Hassanain, E., Alhamid, M. F., & Guizani, M. (2019) · IEEE Access

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 333

Face swapping: automatically replacing faces in photographs

Bitouk, D., Kumar, N., Dhillon, S., Belhumeur, P., & Nayar, S. K. (2008) · ACM Transactions on Graphics

Face recognition and analysisGenerative Adversarial Networks and Image Synthesis

Cited by 333

Scalable, High-Quality Object Detection

Szegedy, C., Reed, S., Erhan, D., Anguelov, D., & Ioffe, S. (2014) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 333

Emerging models of data governance in the age of datafication

Micheli, M., Ponti, M., Craglia, M., & Berti Suman, A. (2020) · Big Data & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 332

Variational quantum algorithms for nonlinear problems

Lubasch, M., Joo, J., Moinier, P., Kiffner, M., & Jaksch, D. (2020) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 332

Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

Yu, Z., Hu, J., Min, G., Zhao, Z., Miao, W., & Hossain, M. S. (2021) · IEEE Transactions on Intelligent Transportation Systems

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 332

Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey

Ramachandra, R., & Busch, C. (2018) · ACM Computing Surveys

Biometric Identification and SecurityFace recognition and analysis

Cited by 332

A hierarchical blockchain-enabled federated learning algorithm for knowledge sharing in Internet of Vehicles

Chai, H., Leng, S., Chen, Y., & Zhang, K. (2021) · IEEE Transactions on Intelligent Transportation Systems

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 332

Older Adults With Cognitive and/or Physical Impairments Can Benefit From Immersive Virtual Reality Experiences: A Feasibility Study

Appel, L., Appel, E., Bogler, O., Wiseman, M., Cohen, L., Ein, N., Abrams, H. B., & Campos, J. L. (2020) · Frontiers in Medicine

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 332

SMIL: Multimodal Learning with Severely Missing Modality

Ma, M., Ren, J., Zhao, L., Tulyakov, S., Wu, C., & Peng, X. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 332

Qwen Technical Report

Bai, J., Bai, S., Chu, Y., Cui, Z., Dang, K., Deng, X., Fan, Y., Ge, W., Han, Y., Huang, F., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 332

Möbius voting for surface correspondence

Lipman, Y., & Funkhouser, T. (2009) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 332

HeMIS: Hetero-Modal Image Segmentation

Havaei, M., Guizard, N., Chapados, N., & Bengio, Y. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 332

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Gafni, O., Polyak, A., Ashual, O., Sheynin, S., Parikh, D., & Taigman, Y. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 332