Check computer science papers: citations, claims and retractions

Building Machine Learning Models Like Open Source Software

Raffel, C. (2023) · Communications of the ACM

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 10

A survey of agent interoperability protocols: Model context protocol (MCP), agent communication protocol (ACP), agent-to-agent protocol (A2A), and agent network protocol (ANP)

Ehtesham, A., Singh, A., Gupta, G. K., & Kumar, S. (2025) · arXiv

Multi-Agent Systems and NegotiationAccess Control and Trust

Cited by 10

Research on Action Recognition and Content Analysis in videos based on DNN and MLN

Song, W., Yu, J., Zhao, X., & Wang, A. (2019) · Computers, Materials & Continua

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 10

Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective

Li, H., Wang, Y., & Qu, H. (2025) · arXiv

Data Visualization and AnalyticsDigital Media and Visual Art

Cited by 10

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Chhikara, P., Khant, D., Aryan, S., Singh, T., & Yadav, D. (2025) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 10

The Evolution of the Manosphere across the Web

Horta Ribeiro, M., Blackburn, J., Bradlyn, B., De Cristofaro, E., Stringhini, G., Long, S., Greenberg, S., & Zannettou, S. (2021) · Proceedings of the International AAAI Conference on Web and Social Media

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 10

Augmentation of small training data using GANs for enhancing the performance of image classification

Hung, S.-K., & Gan, J. Q. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 10

TC-driver: A trajectory conditioned reinforcement learning approach to zero-shot autonomous racing

Ghignone, E., Baumann, N., & Magno, M. (2024) · IEEE Transactions on Field Robotics

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 10

SDN-based game-aware network management for cloud gaming

Amiri, M., Al Osman, H., Shirmohammadi, S., & Abdallah, M. (2015) · 2015 International Workshop on Network and Systems Support for Games (NetGames)

Cloud Computing and Remote Desktop TechnologiesSoftware-Defined Networks and 5G

Cited by 10

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks

Guo, N., Bethge, J., Yang, H., Zhong, K., Ning, X., Meinel, C., & Wang, Y. (2021) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 10

Comparison of cross-subject EEG emotion recognition algorithms in the BCI Controlled Robot Contest in World Robot Contest 2021

Tang, C., Li, Y., & Chen, B. (2022) · Brain Science Advances

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 10

Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey

Smith, V., Shamsabadi, A. S., Ashurst, C., & Weller, A. (2023) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 10

Apple Vision Pro: Comments in Healthcare

Santos, E., & Castillo, V. (2024) · arXiv

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 10

Water-tight IoT–just add security

Bour, G., Bosco, C., Ugarelli, R., & Jaatun, M. G. (2023) · Journal of Cybersecurity and Privacy

IoT and Edge/Fog ComputingInformation and Cyber Security

Cited by 10

AWaveFormer: Audio Wavelet Transformer Network for Generalized Audio Deepfake Detection

Wang, R., Chen, Z., Wang, B., Ba, Z., & Ren, K. (2025) · IEEE Transactions on Audio, Speech and Language Processing

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 10

A perceptual image hashing algorithm for hybrid document security

Eskenazi, S., Bodin, B., Gomez-Kramer, P., & Ogier, J.-M. (2017) · 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption

Cited by 10

A Survey on Feedback Types in Automated Programming Assessment Systems

Frankford, E., Antensteiner, T., Vierhauser, M., Sauerwein, C., Wallner, V., Groher, I., Plösch, R., & Breu, R. (2026) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 10

An interview with Robert Lawler

Lawler, R. W., & Rushby, N. (2013) · British Journal of Educational Technology

History of Computing TechnologiesIntelligent Tutoring Systems and Adaptive Learning

Cited by 10

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges

Chehbouni, K., Haddou, M., Cheung, J. C., & Farnadi, G. (2025) · Advances in Neural Information Processing Systems 38

Natural Language Processing TechniquesTopic Modeling

Cited by 10

Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare

Sendak, M., Sirdeshmukh, G., Ochoa, T., Premo, H., Tang, L., Niederhoffer, K., Reed, S., Deshpande, K., Sterrett, E., Bauer, M., et al. (2022) · arXiv

Data Quality and ManagementElectronic Health Records Systems

Cited by 10

Preventing ARP spoofing in WLAN using SHA-512

Agrawal, N., Pradeepkumar, B., & Tapaswi, S. (2013) · 2013 IEEE International Conference on Computational Intelligence and Computing Research

Network Security and Intrusion DetectionSecurity in Wireless Sensor Networks

Cited by 10

Will releasing the weights of future large language models grant widespread access to pandemic agents?

Gopal, A., Helm-Burger, N., Justen, L., Soice, E. H., Tzeng, T., Jeyapragasan, G., Grimm, S., Mueller, B., & Esvelt, K. M. (2023) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 10

Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches

Turri, V., Morrison, K., Robinson, K.-M., Abidi, C., Perer, A., Forlizzi, J., & Dzombak, R. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

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

Cited by 10

Stop the software architecture erosion: building better software systems

Merkle, B. (2010) · Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 10