Check computer science papers: citations, claims and retractions

A Fast and Simple Algorithm for Training Neural Probabilistic Language Models

Mnih, A., & Teh, Y. W. (2012) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 315

Image encryption based on chaotic maps

Fridrich, J. (2002) · 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation

Chaos-based Image/Signal EncryptionMathematical Dynamics and Fractals

Cited by 315

Reputation-based incentive protocols in crowdsourcing applications

Zhang, Y., & van der Schaar, M. (2012) · 2012 Proceedings IEEE INFOCOM

Mobile Crowdsensing and CrowdsourcingGame Theory and Applications

Cited by 315

Drone Deep Reinforcement Learning: A Review

Azar, A. T., Koubaa, A., Ali Mohamed, N., Ibrahim, H. A., Ibrahim, Z. F., Kazim, M., Ammar, A., Benjdira, B., Khamis, A. M., Hameed, I. A., et al. (2021) · Electronics

Reinforcement Learning in RoboticsAerospace and Aviation Technology

Cited by 314

Bidirectional RNN for Medical Event Detection in Electronic Health Records

Jagannatha, A. N., & Yu, H. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 314

Camel: Communicative agents for" mind" exploration of large language model society

Li, G., Hammoud, H., Itani, H., Khizbullin, D., & Ghanem, B. (2023) · Advances in Neural Information Processing Systems 36

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 314

AI Governance: A Systematic Literature Review

Batool, A., Zowghi, D., & Bano, M. (2025) · AI and Ethics

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 314

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion

Jabeen, K., Khan, M. A., Alhaisoni, M., Tariq, U., Zhang, Y.-D., Hamza, A., Mickus, A., & Damaševičius, R. (2022) · Sensors

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 314

Improving large language models for clinical named entity recognition via prompt engineering

Hu, Y., Chen, Q., Du, J., Peng, X., Keloth, V. K., Zuo, X., Zhou, Y., Li, Z., Jiang, X., Lu, Z., et al. (2024) · Journal of the American Medical Informatics Association

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 314

User‐centred design for sustainable behaviour

Wever, R., van Kuijk, J., & Boks, C. (2008) · International Journal of Sustainable Engineering

Innovative Human-Technology InteractionSustainable Design and Development

Cited by 314

A solution to the single-question crowd wisdom problem

Prelec, D., Seung, H. S., & McCoy, J. (2017) · Nature

Mobile Crowdsensing and CrowdsourcingGame Theory and Voting Systems

Cited by 314

Transfer adaptation learning: A decade survey

Zhang, L., & Gao, X. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 314

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks

Chen, H., Fu, C., Zhao, J., & Koushanfar, F. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 314

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

Chen, K., Zhang, D., Yao, L., Guo, B., Yu, Z., & Liu, Y. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 314

Neural Rating Regression with Abstractive Tips Generation for Recommendation

Li, P., Wang, Z., Ren, Z., Bing, L., & Lam, W. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 313

Model inversion attacks against collaborative inference

He, Z., Zhang, T., & Lee, R. B. (2019) · Proceedings of the 35th Annual Computer Security Applications Conference

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 313

Unsupervised Domain Adaptation of Object Detectors: A Survey

Oza, P., Sindagi, V. A., VS, V., & Patel, V. M. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 313

Communication Breakdowns Between Families and Alexa

Beneteau, E., Richards, O. K., Zhang, M., Kientz, J. A., Yip, J., & Hiniker, A. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsInnovative Human-Technology Interaction

Cited by 313

Deep voice 3: scaling text-to-speech with convolutional sequence learning

Ping, W., Peng, K., Gibiansky, A., Arik, S. O., Kannan, A., Narang, S., Raiman, J., & Miller, J. (2017) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 313

Towards Universal Sequence Representation Learning for Recommender Systems

Hou, Y., Mu, S., Zhao, W. X., Li, Y., Ding, B., & Wen, J.-R. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 313

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

Chefer, H., Gur, S., & Wolf, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 313

Byzantine-Resilient Secure Federated Learning

So, J., Guler, B., & Avestimehr, A. S. (2021) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 313

An empirical evaluation of GitHub copilot's code suggestions

Nguyen, N., & Nadi, S. (2022) · Proceedings of the 19th International Conference on Mining Software Repositories

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 313

Embodying self-compassion within virtual reality and its effects on patients with depression

Falconer, C. J., Rovira, A., King, J. A., Gilbert, P., Antley, A., Fearon, P., Ralph, N., Slater, M., & Brewin, C. R. (2016) · BJPsych Open

Virtual Reality Applications and ImpactsMindfulness and Compassion Interventions

Cited by 312