Check computer science papers: citations, claims and retractions

VAID: An Aerial Image Dataset for Vehicle Detection and Classification

Lin, H.-Y., Tu, K.-C., & Li, C.-Y. (2020) · IEEE Access

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 70

MultiModal-GPT: a vision and language model for dialogue with humans

Gong, T., Lyu, C., Zhang, S., Wang, Y., Zheng, M., Zhao, Q., Liu, K., Zhang, W., Luo, P., & Chen, K. (2023) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 70

Optimization-based Prompt Injection Attack to LLM-as-a-Judge

Shi, J., Yuan, Z., Liu, Y., Huang, Y., Zhou, P., Sun, L., & Gong, N. Z. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 70

IFed: A novel federated learning framework for local differential privacy in Power Internet of Things

Cao, H., Liu, S., Zhao, R., & Xiong, X. (2020) · International Journal of Distributed Sensor Networks

Privacy-Preserving Technologies in DataSmart Grid Energy Management

Cited by 70

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

He, Y., Yu, N., Keuper, M., & Fritz, M. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 70

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

Gamrian, S., & Goldberg, Y. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 70

Bias in algorithms of AI systems developed for COVID-19: A scoping review

Delgado, J., de Manuel, A., Parra, I., Moyano, C., Rueda, J., Guersenzvaig, A., Ausin, T., Cruz, M., Casacuberta, D., & Puyol, A. (2022) · Journal of Bioethical Inquiry

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 70

Privacy-Preserving Gradient-Descent Methods

Han, S., Ng, W. K., Wan, L., & Lee, V. C. S. (2010) · IEEE Transactions on Knowledge and Data Engineering

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 70

An Empirical Study of Code Smells in Transformer-based Code Generation Techniques

Siddiq, M. L., Majumder, S. H., Mim, M. R., Jajodia, S., & Santos, J. C. S. (2022) · 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM)

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 70

Neural-symbolic integration and the Semantic Web

Hitzler, P., Bianchi, F., Ebrahimi, M., & Sarker, M. K. (2020) · Semantic Web

Semantic Web and OntologiesLogic, Reasoning, and Knowledge

Cited by 70

A theory of learning to infer.

Dasgupta, I., Schulz, E., Tenenbaum, J. B., & Gershman, S. J. (2020) · Psychological Review

Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics

Cited by 70

Support and Invertibility in Domain-Invariant Representations

Johansson, F. D., Sontag, D., & Ranganath, R. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 70

Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

Martínez-Más, J., Bueno-Crespo, A., Khazendar, S., Remezal-Solano, M., Martínez-Cendán, J.-P., Jassim, S., Du, H., Al Assam, H., Bourne, T., & Timmerman, D. (2019) · PLOS ONE

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 70

Information-theoretic analysis of stability and bias of learning algorithms

Raginsky, M., Rakhlin, A., Tsao, M., Wu, Y., & Xu, A. (2016) · 2016 IEEE Information Theory Workshop (ITW)

Machine Learning and AlgorithmsStochastic Gradient Optimization Techniques

Cited by 70

Instructable Intelligent Personal Agent

Azaria, A., Krishnamurthy, J., & Mitchell, T. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 70

ReAcTable: Enhancing ReAct for Table Question Answering

Zhang, Y., Henkel, J., Floratou, A., Cahoon, J., Deep, S., & Patel, J. M. (2024) · Proceedings of the VLDB Endowment

Topic ModelingNatural Language Processing Techniques

Cited by 70

Bugs in Large Language Models Generated Code: An Empirical Study

Tambon, F., Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Antoniol, G. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 70

Probing the psychology of AI models

Shiffrin, R., & Mitchell, M. (2023) · Proceedings of the National Academy of Sciences

Explainable Artificial Intelligence (XAI)Psychiatry, Mental Health, Neuroscience

Cited by 70

Simple factorization of unitary transformations

de Guise, H., Di Matteo, O., & Sánchez-Soto, L. L. (2018) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 70

Finding Maximum Cliques on the D-Wave Quantum Annealer

Chapuis, G., Djidjev, H., Hahn, G., & Rizk, G. (2019) · Journal of Signal Processing Systems

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 70

Explainable Deep-Fake Detection Using Visual Interpretability Methods

Malolan, B., Parekh, A., & Kazi, F. (2020) · 2020 3rd International Conference on Information and Computer Technologies (ICICT)

Digital Media Forensic DetectionExplainable Artificial Intelligence (XAI)

Cited by 70

Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide

Bernal, J., & Mazo, C. (2022) · Applied Sciences

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 70

Regulating blockchain, dlt and smart contracts: a technology regulator's perspective

Ellul, J., Galea, J., Ganado, M., Mccarthy, S., & Pace, G. J. (2020) · ERA Forum

Blockchain Technology Applications and SecurityDigital Transformation in Law

Cited by 70

Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model

Ben Ayed, I., Hennane, N., & Mitiche, A. (2006) · IEEE Transactions on Image Processing

Medical Image Segmentation TechniquesImage and Signal Denoising Methods

Cited by 70