Check computer science papers: citations, claims and retractions

Data-driven personalized marketing strategy optimization based on user behavior modeling and predictive analytics: Sustainable market segmentation and targeting

Sun, B. (2025) · PLOS One

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 6

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Zeng, Z., Cheng, Q., Yin, Z., Zhou, Y., & Qiu, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Deploying Deep Learning Models via IOT Deployment Tools

Krishnamurthi, R., Maheshwari, R., & Gulati, R. (2019) · 2019 Twelfth International Conference on Contemporary Computing (IC3)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 6

Lynx: An Open Source Hallucination Evaluation Model

Ravi, S. S., Mielczarek, B., Kannappan, A., Kiela, D., & Qian, R. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 6

Towards Policy Enforcement Point as a Service (PEPS)

Shaghaghi, A., Kaafar, M. A., Scott-Hayward, S., Kanhere, S. S., & Jha, S. (2016) · 2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

Access Control and TrustSoftware-Defined Networks and 5G

Cited by 6

Improving Quantum Annealing Performance on Embedded Problems

Zielewski, M. R., Agung, M., Egawa, R., & Takizawa, H. (2020) · Supercomputing Frontiers and Innovations

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 6

A Novel Malware Encrypted Traffic Detection Framework Based On Ensemble Learning

Zhao, C., Li, S., Wu, X., Han, W., Tian, Z., & Chen, M. (2021) · 2021 IEEE Sixth International Conference on Data Science in Cyberspace (DSC)

Advanced Malware Detection TechniquesNetwork Security and Intrusion Detection

Cited by 6

The benefit of the doubt: Uncertainty aware sensing for edge computing platforms

Qendro, L., Chauhan, J., Ramos, A. G. C. P., & Mascolo, C. (2021) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 6

Towards designing more effective systems by understanding user experiences

Hooper, S. (2011) · ACM SIGWEB Newsletter

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 5

A Study on Impact of Junior High School Students’ Programming Learning Effect Based on Generative Artificial Intelligence

Zhang, H., & Li, M. (2024) · 2024 4th International Conference on Educational Technology (ICET)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 5

Penerapan Metode Manajemen Proyek dalam Meningkatkan Kualitas Perpustakaan Berbasis Teknologi Informasi

Prasetya, H. (2021) · Ideguru: Jurnal Karya Ilmiah Guru

Educational Management and QualityLibrary Science and Information

Cited by 5

No-reference image quality assessment based on global awareness

Hu, Z., Yang, G., Du, Z., Huang, X., Zhang, P., & Liu, D. (2024) · PLOS ONE

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 5

Ensuring the success of data sharing in Canada

Moher, D., & Cobey, K. D. (2021) · FACETS

Research Data Management PracticesData Analysis and Archiving

Cited by 5

Qualitative study to identify icons characteristics on mobile phones applications interfaces

Ghayas, S., Sulaiman, S., Khan, M., & Jaafar, J. (2013) · 2013 IEEE Symposium on Wireless Technology & Applications (ISWTA)

Usability and User Interface DesignSafety Warnings and Signage

Cited by 5

Prevent the Language Model from being Overconfident in Neural Machine Translation

Miao, M., Meng, F., Liu, Y., Zhou, X.-H., & Zhou, J. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 5

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Tian, K., Mitchell, E., Zhou, A., Sharma, A., Rafailov, R., Yao, H., Finn, C., & Manning, C. D. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 5

Sok: Evaluating Jailbreak Guardrails for Large Language Models

Wang, X., Ji, Z., Wang, W., Li, Z., Wu, D., & Wang, S. (2026) · 2026 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 5

Real-time style transfer with efficient vision transformers

Benmeziane, H., Ouarnoughi, H., Maghraoui, K. E., & Niar, S. (2022) · Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 5

A Model-Agnostic Approach for Explaining the Predictions on Clustered Data

Zhou, Z., Sun, M., & Chen, J. (2019) · 2019 IEEE International Conference on Data Mining (ICDM)

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 5

Quantum error correction with an Ising machine under circuit-level noise

Fujisaki, J., Maruyama, K., Oshima, H., Sato, S., Sakashita, T., Takeuchi, Y., & Fujii, K. (2023) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 5

Calibrated Learning to Defer with One-vs-All Classifiers

Verma, R., & Nalisnick, E. (2022) · arXiv

Machine Learning and AlgorithmsExplainable Artificial Intelligence (XAI)

Cited by 5

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing

Jiao, F., Qin, C., Liu, Z., Chen, N. F., & Joty, S. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 5

Explainable artificial intelligence in pancreatic cancer prediction: from transparency to clinical decision-making

Alharbi, W., & Alfayez, A. A. (2025) · Frontiers in Oncology

Explainable Artificial Intelligence (XAI)Pancreatic and Hepatic Oncology Research

Cited by 5

Generative Retrieval for Book Search

Tang, Y., Zhang, R., Guo, J., de Rijke, M., Liu, S., Wang, S., Yin, D., & Cheng, X. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

Information Retrieval and Search BehaviorTopic Modeling

Cited by 5