Check computer science papers: citations, claims and retractions

Novice Reflections During the Transition to a New Programming Language

Denny, P., Becker, B. A., Bosch, N., Prather, J., Reeves, B., & Whalley, J. (2022) · Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 11

UMS: Live Migration of Containerized Services across Autonomous Computing Systems

Chanikaphon, T., & Salehi, M. A. (2023) · GLOBECOM 2023 - 2023 IEEE Global Communications Conference

Cloud Computing and Resource ManagementDistributed systems and fault tolerance

Cited by 11

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems

Zhao, J., Tong, J., Mou, Y., Zhang, M., Zhang, Q., & Huang, X. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 11

Estimating and Penalizing Induced Preference Shifts in Recommender Systems

Carroll, M., Dragan, A., Russell, S., & Hadfield-Menell, D. (2022) · arXiv

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 11

Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation

O.K., S., Riera-Marín, M., Galdran, A., López, J. G., Rodríguez-Comas, J., Piella, G., & Ballester, M. A. G. (2025) · Computerized Medical Imaging and Graphics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 11

KARMA: Augmenting Embodied AI Agents with Long-and-Short Term Memory Systems

Wang, Z., Yu, B., Zhao, J., Sun, W., Hou, S., Liang, S., Hu, X., Han, Y., & Gan, Y. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 11

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications

Malik, M., Ghasemzadeh, H., Mohsenin, T., Cammarota, R., Zhao, L., Sasan, A., Homayoun, H., & Rafatirad, S. (2019) · Proceedings of the 48th International Conference on Parallel Processing

Cloud Computing and Resource ManagementParallel Computing and Optimization Techniques

Cited by 11

An algorithm based on 6D fractional order hyperchaotic system and knight tour algorithm to encrypt image

He, C., Chen, Z., Wang, L., Wu, X., Liu, T., & Long, B. (2024) · Physica Scripta

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 11

Space Decoupled Prototype Learning for Few-Shot Attack Detection in Cyber–Physical Systems

Sun, H., Huang, Y., Zhou, C., Han, L., Liu, H., Chen, J., & Li, X. (2024) · IEEE Transactions on Industrial Informatics

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 11

HARGRURNN: Human activity recognition using inertial body sensor gated recurrent units recurrent neural network

Jangir, M. K., & Singh, K. (2019) · Journal of Discrete Mathematical Sciences and Cryptography

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 11

OpenClaw AI Agents as Informal Learners at Moltbook: Characterizing an Emergent Learning Community at Scale

Chen, E., Guan, C., Elshafiey, A., Zhao, Z., Zekeri, J., Shaibu, A. E., Prince, E. O., & Wu, C. J. (2026) · arXiv

Online Learning and AnalyticsOnline and Blended Learning

Cited by 11

Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features

Lan, X., Guo, G., Wang, X., Yan, Q., Xue, R., Li, Y., Zhu, J., Dong, Z., Wang, F., Li, G., et al. (2024) · Skin Research and Technology

AI in cancer detectionNonmelanoma Skin Cancer Studies

Cited by 11

α_ SNFAQM: an active queue management mechanism using neurofuzzy prediction

Zhani, M. F., Elbiaze, H., & Kamoun, F. (2007) · 2007 12th IEEE Symposium on Computers and Communications

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 11

On the pass rate of NIST statistical test suite for randomness

Yamaguchi, A., Seo, T., & Yoshikawa, K. (2010) · JSIAM Letters

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 11

Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure

Puech, R., Macina, J., Chatain, J., Sachan, M., & Kapur, M. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 11

Exploring ethical considerations in generative AI

Lasker, A. (2024) · International Journal of Advanced Research

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 11

Prisoners Training AI

Lehtiniemi, T., & Ruckenstein, M. (2022) · Everyday Automation

Ethics and Social Impacts of AILegal and Labor Studies

Cited by 11

Detecting Online Grooming By Simple Contrastive Chat Embeddings

Rezaee Borj, P., Raja, K., & Bours, P. (2023) · Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 11

Multi-stage Pre-training over Simplified Multimodal Pre-training Models

Liu, T., Feng, F., & Wang, X. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 11

Research on high-speed fuzzy reasoning with FPGA for fault diagnosis expert system

Xue, J., Sun, L., Liu, M., Qiao, C., & Ye, G. (2009) · 2009 International Conference on Mechatronics and Automation

Fuzzy Logic and Control SystemsEmbedded Systems and FPGA Applications

Cited by 11

Anatomically plausible segmentations: Explicitly preserving topology through prior deformations

Wyburd, M. K., Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2024) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 11

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models

Maekawa, S., Iso, H., Gurajada, S., & Bhutani, N. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 11

Color recovery: true-color 8-bit interactive graphics

Barkans, A. C. (1997) · IEEE Computer Graphics and Applications

Computer Graphics and Visualization TechniquesColor Science and Applications

Cited by 11

Fog computing based router-distributor application for sustainable smart home

Iftikhar, S., Golec, M., Chowdhury, D., Gill, S. S., & Uhlig, S. (2022) · 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 11