Check computer science papers: citations, claims and retractions

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications

Rey, L., Bernardos, A. M., Dobrzycki, A. D., Carramiñana, D., Bergesio, L., Besada, J. A., & Casar, J. R. (2025) · Electronics

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 72

Design and Performance Evaluation of an Ultralow-Power Smart IoT Device with Embedded TinyML for Asset Activity Monitoring

Giordano, M., Baumann, N., Crabolu, M., Fischer, R., Bellusci, G., & Magno, M. (2022) · IEEE Transactions on Instrumentation and Measurement

IoT and Edge/Fog ComputingBluetooth and Wireless Communication Technologies

Cited by 72

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

Xu, Z., Zhang, W., Ye, X., Tan, X., Yang, W., Wen, S., Ding, E., Meng, A., & Huang, L. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 72

MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems

Wu, L., Tordsson, J., Bogatinovski, J., Elmroth, E., & Kao, O. (2021) · 2021 IEEE/ACM International Workshop on Cloud Intelligence (CloudIntelligence)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 72

IoVT: Internet of Vulnerable Things? Threat Architecture, Attack Surfaces, and Vulnerabilities in Internet of Things and Its Applications towards Smart Grids

Anand, P., Singh, Y., Selwal, A., Singh, P. K., Felseghi, R. A., & Raboaca, M. S. (2020) · Energies

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 72

Blockchain-powered value creation in the 5G and smart grid use cases

Valtanen, K., Backman, J., & Yrjola, S. (2019) · IEEE Access

Blockchain Technology Applications and SecurityDigital Platforms and Economics

Cited by 72

DID and VC: Untangling Decentralized Identifiers and Verifiable Credentials for the Web of Trust

Brunner, C., Gallersdörfer, U., Knirsch, F., Engel, D., & Matthes, F. (2020) · 2020 the 3rd International Conference on Blockchain Technology and Applications

Blockchain Technology Applications and SecurityAdvanced Authentication Protocols Security

Cited by 72

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

Li, Y., Zhang, Y., Timofte, R., Van Gool, L., Yu, L., Li, Y., Li, X., Jiang, T., Wu, Q., Han, M., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Image Processing TechniquesAdvanced Neural Network Applications

Cited by 72

Reducing Conversational Agents’ Overconfidence Through Linguistic Calibration

Mielke, S. J., Szlam, A., Dinan, E., & Boureau, Y.-L. (2022) · Transactions of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 72

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Koo, R., Lee, M., Raheja, V., Park, J. I., Kim, Z. M., & Kang, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 72

Privacy Preserving User-Based Recommender System

Badsha, S., Yi, X., Khalil, I., & Bertino, E. (2017) · 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

Recommender Systems and TechniquesPrivacy-Preserving Technologies in Data

Cited by 72

Large Memory Layers with Product Keys

Lample, G., Sablayrolles, A., Ranzato, M., Denoyer, L., & Jégou, H. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 72

Synchromesh: Reliable code generation from pre-trained language models

Poesia, G., Polozov, O., Le, V., Tiwari, A., Soares, G., Meek, C., & Gulwani, S. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 72

Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics

Czarnowska, P., Vyas, Y., & Shah, K. (2021) · Transactions of the Association for Computational Linguistics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 72

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Jimenez, C. E., Yang, J., Wettig, A., Yao, S., Pei, K., Press, O., & Narasimhan, K. (2023) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 72

Transferability of optimal QAOA parameters between random graphs

Galda, A., Liu, X., Lykov, D., Alexeev, Y., & Safro, I. (2021) · 2021 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 72

Predicting future traffic using Hidden Markov Models

Chen, Z., Wen, J., & Geng, Y. (2016) · 2016 IEEE 24th International Conference on Network Protocols (ICNP)

Network Traffic and Congestion ControlInternet Traffic Analysis and Secure E-voting

Cited by 72

Disordered speech data collection: lessons learned at 1 million utterances from project euphonia

MacDonald, R. L., Jiang, P.-P., Cattiau, J., Heywood, R., Cave, R., Seaver, K., Ladewig, M. A., Tobin, J., Brenner, M. P., Nelson, P. C., et al. (2021) · Interspeech 2021

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 72

Citation: A Key to Building Responsible and Accountable Large Language Models

Huang, J., & Chang, K. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 72

Explainability pitfalls: beyond dark patterns in explainable AI

Ehsan, U., & Riedl, M. O. (2024) · Patterns

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

Cited by 72

Emergent autonomous scientific research capabilities of large language models

Boiko, D. A., MacKnight, R., & Gomes, G. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 72

Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold

Kundu, J. N., Gor, M., Uppala, P. K., & Radhakrishnan, V. B. (2019) · 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 72

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs

Barocas, S., Guo, A., Kamar, E., Krones, J., Morris, M. R., Vaughan, J. W., Wadsworth, W. D., & Wallach, H. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 72

Fairness, accountability and transparency: Notes on algorithmic decision-making in criminal justice

Chiao, V. (2019) · International Journal of Law in Context

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 72