Check computer science papers: citations, claims and retractions

Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory

Li, L., Yang, L., Guo, X., Shi, Y., Wang, H., Chen, W., & Letaief, K. B. (2021) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataAdvanced Wireless Communication Technologies

Cited by 37

Organizational process maturity model for IoT data quality management

Kim, S., Pérez-Castillo, R., Caballero, I., & Lee, D. (2022) · Journal of Industrial Information Integration

Data Quality and ManagementDigital Transformation in Industry

Cited by 37

Belief propagation based AIS/radar data fusion for multi-target tracking

Gaglione, D., Braca, P., & Soldi, G. (2018) · 2018 21st International Conference on Information Fusion (FUSION)

Target Tracking and Data Fusion in Sensor NetworksRadar Systems and Signal Processing

Cited by 37

GPT-4 vs. GPT-3.5: A Concise Showdown

Koubaa, A. (2023) · Preprints.org

Topic ModelingNatural Language Processing Techniques

Cited by 37

Bringing machine learning to the masses

Hutson, M. (2019) · Science

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 37

Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents

Köster, R., Hadfield-Menell, D., Everett, R., Weidinger, L., Hadfield, G. K., & Leibo, J. Z. (2022) · Proceedings of the National Academy of Sciences

Reinforcement Learning in RoboticsEvolutionary Game Theory and Cooperation

Cited by 37

MELTing Point: Mobile Evaluation of Language Transformers

Laskaridis, S., Katevas, K., Minto, L., & Haddadi, H. (2024) · Proceedings of the 30th Annual International Conference on Mobile Computing and Networking

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 37

Governing Ethical AI Transformation: A Case Study of AuroraAI

Leikas, J., Johri, A., Latvanen, M., Wessberg, N., & Hahto, A. (2022) · Frontiers in Artificial Intelligence

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 37

A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments

Muller, M. G., Durner, M., Gawel, A., Sturzl, W., Triebel, R., & Siegwart, R. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 37

Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve

McCoy, R. T., Yao, S., Friedman, D., Hardy, M., & Griffiths, T. L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 37

Safe Reinforcement Learning via Shielding

Alshiekh, M., Bloem, R., Ehlers, R., Könighofer, B., Niekum, S., & Topcu, U. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsFormal Methods in Verification

Cited by 37

Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task

Cecil, J., Lermer, E., Hudecek, M. F. C., Sauer, J., & Gaube, S. (2024) · Scientific Reports

Explainable Artificial Intelligence (XAI)AI and HR Technologies

Cited by 37

Endometrium segmentation on transvaginal ultrasound image using key-point discriminator

Park, H., Lee, H. J., Kim, H. G., Ro, Y. M., Shin, D., Lee, S. R., Kim, S. H., & Kong, M. (2019) · Medical Physics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 37

Integration of knowledge and data in machine learning

Chen, Y., & Zhang, D. (2022) · arXiv

Advanced Graph Neural NetworksKnowledge Management and Technology

Cited by 37

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model

Tang, S., Wang, Y., Kong, Z., Zhang, T., Li, Y., Ding, C., Wang, Y., Liang, Y., & Xu, D. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 37

Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems

Zhang, Z., Huang, M., Zhao, Z., Ji, F., Chen, H., & Zhu, X. (2019) · ACM Transactions on Information Systems

Speech and dialogue systemsAI in Service Interactions

Cited by 37

Scientific and Fantastical: Creating Immersive, Culturally Relevant Learning Experiences with Augmented Reality and Large Language Models

Cheng, A. Y., Guo, M., Ran, M., Ranasaria, A., Sharma, A., Xie, A., Le, K. N., Vinaithirthan, B., Luan, S. (., Wright, D. T. H., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 37

Beyond Deepfake Images: Detecting AI-Generated Videos

Vahdati, D. S., Nguyen, T. D., Azizpour, A., & Stamm, M. C. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 37

Experimental Evaluation of NISQ Quantum Computers: Error Measurement, Characterization, and Implications

Patel, T., Potharaju, A., Li, B., Roy, R. B., & Tiwari, D. (2020) · SC20: International Conference for High Performance Computing, Networking, Storage and Analysis

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 37

Federated learning‐based trajectory prediction model with privacy preserving for intelligent vehicle

Han, M., Xu, K., Ma, S., Li, A., & Jiang, H. (2022) · International Journal of Intelligent Systems

Privacy-Preserving Technologies in DataAutonomous Vehicle Technology and Safety

Cited by 37

Self-Adaptive Root Cause Diagnosis for Large-Scale Microservice Architecture

Ma, M., Lin, W., Pan, D., & Wang, P. (2022) · IEEE Transactions on Services Computing

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 37

COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation

Wen, K., Xia, J., Huang, Y., Li, L., Xu, J., & Shao, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 37

Is Power-Seeking AI an Existential Risk?

Carlsmith, J. (2022) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 37

Real-time passenger counting in buses using dense stereovision

Yahiaoui, T., Khoudour, L., & Meurie, C. (2010) · Journal of Electronic Imaging

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 37