Check computer science papers: citations, claims and retractions

ConvNext-PNet: An interpretable and explainable deep-learning model for deepfakes detection

Ilyas, H., Javed, A., & Malik, K. M. (2024) · 2024 IEEE International Joint Conference on Biometrics (IJCB)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 5

On Automating Security Policies with Contemporary LLMs (Short Paper)

Saura, P. F., Jayaram, K. R., Isahagian, V., Bernabé, J. B., & Skarmeta, A. (2025) · 2025 IEEE International Conference on Software Services Engineering (SSE)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 5

“Write in English, Nobody Understands Your Language Here”: A Study of Non-English Trends in Open-Source Repositories

Bhuiyan, M. H. M., Kumar, M. K. B., & Staicu, C.-A. (2026) · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering

Open Source Software InnovationsSoftware Engineering Research

Cited by 5

Comparative study of marker-based and markerless tracking in augmented reality under variable environmental conditions

Sulistiyono, M., Hasyim, J. W., Bernadhed, B., Liantoni, F., & Sidauruk, A. (2024) · Journal of Soft Computing Exploration

Augmented Reality ApplicationsRobotics and Sensor-Based Localization

Cited by 5

Cooperative resilience in artificial intelligence multiagent systems

Chacon-Chamorro, M., Felipe Giraldo, L., Quijano, N., Vargas-Panesso, V., González, C., Pinzón, J. S., Manrique, R., Ríos, M., Fonseca, Y., Gómez-Barrera, D., et al. (2025) · IEEE Transactions on Artificial Intelligence

Multi-Agent Systems and NegotiationSystems Engineering Methodologies and Applications

Cited by 5

Integrating Social Determinants of Health in Machine Learning–Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study

Lee, S.-Y., Hayes, L. W., Ozaydin, B., Howard, S., Garretson, A. M., Bradley, H. M., Land, A. M., DeLaney, E. W., Pritchett, A. O., Furr, A. L., et al. (2024) · JMIR Research Protocols

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 5

WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs

Yang, D., Hu, L., Tian, Y., Li, Z., Kelly, C., Yang, B., Yang, C., & Zou, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 5

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Zhang, B., Li, K., Cheng, Z., Hu, Z., Yuan, Y., Chen, G., Leng, S., Jiang, Y., Zhang, H., Li, X., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 5

On Value Functions and the Agent-Environment Boundary

Jiang, N. (2019) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 5

Evaluation of Software Quality in Test-driven Development: A Perspective of Measurement and Metrics

Department of Software Engineering, F. U. O. T., Nwandu, I. C., Odii, J. N., Nwokorie, E. C., & Okolie, S. A. (2022) · International Journal of Information Technology and Computer Science

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 5

Physical Making Online: A Study of Children's Maker Websites

Chu, S. L., Quek, F., Bhangaonkar, S., & Berman, A. (2017) · Proceedings of the 7th Annual Conference on Creativity and Fabrication in Education

Teaching and Learning ProgrammingMuseums and Cultural Heritage

Cited by 5

Artificial Intelligence for Dynamic Spectrum Management

Liang, Y.-C. (2020) · Signals and Communication Technology

Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification

Cited by 5

The Price of Format: Diversity Collapse in LLMs

Yun, L., An, C., Wang, Z., Peng, L., & Shang, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Liu, Z., Chen, Y., Shoeybi, M., Catanzaro, B., & Ping, W. (2024) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 5

Defining Standard Strategies for Quantum Benchmarks

Amico, M., Zhang, H., Jurcevic, P., Bishop, L. S., Nation, P., Wack, A., & McKay, D. C. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 5

How to compute a 256-bit elliptic curve private key with only 50 million Toffoli gates

Litinski, D. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 5

Internet of things security vulnerabilities and recommended solutions

F.Olanrewaju, R., Ul Islam Khan, B., Anwar, F., & Naaz Mir, R. (2019) · International Journal of Engineering and Technology

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 5

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Detection of Machine-Generated Text: Literature Survey

Valiaiev, D. (2024) · arXiv

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 5

RAD: Detecting Performance Anomalies in Cloud-based Web Services

Mukherjee, J., Baluta, A., Litoiu, M., & Krishnamurthy, D. (2020) · 2020 IEEE 13th International Conference on Cloud Computing (CLOUD)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 5

Towards Authoring Open-Ended Behaviors for Narrative Puzzle Games with Large Language Model Support

Ngaw, B., Jena, G., Sedoc, J., & Normoyle, A. (2024) · Proceedings of the 19th International Conference on the Foundations of Digital Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 5

QATFP-YOLO: Optimizing Object Detection on Non-GPU Devices with YOLO Using Quantization-Aware Training and Filter Pruning

Idama, G., Guo, Y., & Yu, W. (2024) · 2024 33rd International Conference on Computer Communications and Networks (ICCCN)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

Problems, Solutions, and Success Factors in the openMDM User‐Led Open Source Consortium

Friedrich-Alexander-University Erlangen-Nürnberg, Yenişen Yavuz, E., Barcomb, A., University of Calgary, Riehle, D., & Friedrich-Alexander-University Erlangen-Nürnberg (2022) · Communications of the Association for Information Systems

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 5

Users’ Behavioral and Emotional Response to Toxicity in Twitter Conversations

Aleksandric, A., Saha Roy, S., Pankaj, H., Wilson, G. M., & Nilizadeh, S. (2024) · Proceedings of the International AAAI Conference on Web and Social Media

Hate Speech and Cyberbullying DetectionWorkplace Violence and Bullying

Cited by 5