Check computer science papers: citations, claims and retractions

Unikernel Network Functions: A Journey Beyond the Containers

Kurek, T. (2019) · IEEE Communications Magazine

Software-Defined Networks and 5GCloud Computing and Resource Management

Cited by 18

Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking

Tang, N., Chen, M., Ning, Z., Bansal, A., Huang, Y., McMillan, C., & Li, T. J.-J. (2024) · 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 18

Enhancing repository-level software repair via repository-aware knowledge graphs

Yang, B., Ren, J., Jin, S., Liu, Y., Liu, F., Le, B., & Tian, H. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 18

Investigating the Adoption of Hybrid Encrypted Cloud Data Deduplication With Game Theory

Liang, X., Yan, Z., Deng, R. H., & Zheng, Q. (2021) · IEEE Transactions on Parallel and Distributed Systems

Cloud Data Security SolutionsAdvanced Data Storage Technologies

Cited by 18

Active Retrieval Augmented Generation

Jiang, Z., Xu, F. F., Gao, L., Sun, Z., Liu, Q., Dwivedi-Yu, J., Yang, Y., Callan, J., & Neubig, G. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 18

Performance Analysis of Selected Programming Languages in the Context of Supporting Decision-Making Processes for Industry 4.0

Dymora, P., & Paszkiewicz, A. (2020) · Applied Sciences

Data Mining and Machine Learning ApplicationsData Mining Algorithms and Applications

Cited by 18

AI models fed AI-generated data quickly spew nonsense

Gibney, E. (2024) · Nature

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 18

Connectionist architectural learning for high performance character and speech recognition

Bodenhausen, U., & Manke, S. (1993) · IEEE International Conference on Acoustics Speech and Signal Processing

Speech Recognition and SynthesisNeural Networks and Applications

Cited by 18

AeLF: Mixing Adaptive Learning System with Learning Management System

Qazdar, A., Cherkaoui, C., Er-Raha, B., & Mammass, D. (2015) · International Journal of Computer Applications

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and E-Learning

Cited by 18

LivePhoto: Real Image Animation with Text-guided Motion Control

Chen, X., Liu, Z., Chen, M., Feng, Y., Liu, Y., Shen, Y., & Zhao, H. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 18

What Information is Required for Explainable AI? : A Provenance-based Research Agenda and Future Challenges

Jaigirdar, F. T., Rudolph, C., Oliver, G., Watts, D., & Bain, C. (2020) · 2020 IEEE 6th International Conference on Collaboration and Internet Computing (CIC)

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

Cited by 18

Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields

Gupta, L., Sisodia, R. S., Pallavi, V., Firtion, C., & Ramachandran, G. (2011) · 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 18

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

Chai, Y., Wang, S., Pang, C., Sun, Y., Tian, H., & Wu, H. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Software Engineering ResearchTopic Modeling

Cited by 18

Making Space for Support: An Exploratory Analysis of Pandemic-Response Mutual Aid Platforms

Knearem, T., Jo, J., Tsai, C.-H., & Carroll, J. M. (2021) · C&T '21: Proceedings of the 10th International Conference on Communities & Technologies - Wicked Problems in the Age of Tech

Open Source Software InnovationsDisaster Management and Resilience

Cited by 18

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security

Shao, M., Jancheska, S., Udeshi, M., Dolan-Gavitt, B., Xi, H., Milner, K., Chen, B., Yin, M., Garg, S., Krishnamurthy, P., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection

Cited by 18

Algorithmic long-term unemployment risk assessment in use: Counselors’ perceptions and use practices

Zejnilović, L., Lavado, S., Martínez de Rituerto de Troya, Í., Sim, S., & Bell, A. (2020) · Global Perspectives

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 18

Instrumental Robots.

Köhler, S. (2020) · Science and engineering ethics

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 18

Vision Transformers for Low-Quality Histopathological Images: A Case Study on Squamous Cell Carcinoma Margin Classification

Park, S.-Y., Ayana, G., Wako, B. D., Jeong, K. C., Yoon, S.-D., & Choe, S.-W. (2025) · Diagnostics

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 18

Enhancement of Conversational Agents By Means of Multimodal Interaction

López-Cózar, R., Callejas, Z., Espejo, G., & Griol, D. (2011) · Conversational Agents and Natural Language Interaction

Speech and dialogue systemsAI in Service Interactions

Cited by 18

Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges

Yang, G., Rao, A., Fernandez-Maloigne, C., Calhoun, V., & Menegaz, G. (2022) · 2022 IEEE International Conference on Image Processing (ICIP)

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

Cited by 18

Sim-to-real: Six-legged Robot Control with Deep Reinforcement Learning and Curriculum Learning

Qin, B., Gao, Y., & Bai, Y. (2019) · 2019 4th International Conference on Robotics and Automation Engineering (ICRAE)

Reinforcement Learning in RoboticsRobotic Locomotion and Control

Cited by 18

Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis

Gupta, K., Christensen, P. E., Chen, X., & Song, D. (2020) · arXiv

Teaching and Learning ProgrammingEvolutionary Algorithms and Applications

Cited by 18

Attacking Neural Text Detectors

Wolff, M., & Wolff, S. (2020) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 18

Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications

Oste, D. J., Pathmendra, P., Richardson, R. A. K., Johnson, G., Ao, Y., Arya, M. D., Enochs, N. R., Hussein, M., Kang, J., Lee, A., et al. (2024) · International Journal of Cancer

Research Data Management PracticesAcademic integrity and plagiarism

Cited by 18