Check computer science papers: citations, claims and retractions

Video Copy Detection Using Spatio-Temporal CNN Features

Zhou, Z., Chen, J., Yang, C.-N., & Sun, X. (2019) · IEEE Access

Video Analysis and SummarizationDigital Media Forensic Detection

Cited by 18

The reanimation of pseudoscience in machine learning and its ethical repercussions

Andrews, M., Smart, A., & Birhane, A. (2024) · Patterns

Ethics and Social Impacts of AIAcademic integrity and plagiarism

Cited by 18

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

Zhou, C., Zhang, X., Song, D., Chen, X., Gu, W., Ma, H., Tian, Y., Zhang, M., & Hu, L. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 18

CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization

Luo, Z., Xie, Q., & Ananiadou, S. (2023) · arXiv

Advanced Text Analysis TechniquesTopic Modeling

Cited by 18

A Quantitative Analysis of Study Habits Among Lower- and Higher-Performing Students in CS1

Liao, S. N., Shah, K., Griswold, W. G., & Porter, L. (2021) · Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingEducational Outcomes and Influences

Cited by 18

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data

Xie, Y., Wang, Z., Li, Y., Ding, B., Gürel, N. M., Zhang, C., Huang, M., Lin, W., & Zhou, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 18

Learning to Run with Actor-Critic Ensemble

Huang, Z., Zhou, S., Zhuang, B., & Zhou, X. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 18

Towards Optimized Security Attributes for IoT Devices in Smart Agriculture Based on the IEC 62443 Security Standard

Shaaban, A. M., Chlup, S., El-Araby, N., & Schmittner, C. (2022) · Applied Sciences

Information and Cyber SecurityIoT and Edge/Fog Computing

Cited by 18

Using URL shorteners to compare phishing and malware attacks

Le Page, S., Jourdan, G.-V., Bochmann, G. V., Flood, J., & Onut, I.-V. (2018) · 2018 APWG Symposium on Electronic Crime Research (eCrime)

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 18

A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation

Zhou, Z., Oguz, O. S., Leibold, M., & Buss, M. (2020) · IEEE Transactions on Robotics

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 18

Radix-2 Self-Recursive Sparse Factorizations of Delay Vandermonde Matrices for Wideband Multi-Beam Antenna Arrays

Perera, S. M., Madanayake, A., & Cintra, R. J. (2020) · IEEE Access

Digital Filter Design and ImplementationDirection-of-Arrival Estimation Techniques

Cited by 18

Small Language Models are the Future of Agentic AI

Belcak, P., Heinrich, G., Diao, S., Fu, Y., Dong, X., Muralidharan, S., Lin, Y. C., & Molchanov, P. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 18

HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data

Yèche, H., Kuznetsova, R., Zimmermann, M., Hüser, M., Lyu, X., Faltys, M., & Rätsch, G. (2021) · arXiv

Machine Learning in HealthcareTime Series Analysis and Forecasting

Cited by 18

Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario

Wöllmer, M., Schuller, B., Batliner, A., Steidl, S., & Seppi, D. (2011) · ACM Transactions on Speech and Language Processing

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 18

L-Eval: Instituting Standardized Evaluation for Long Context Language Models

An, C., Gong, S., Zhong, M., Zhao, X., Li, M., Zhang, J., Kong, L., & Qiu, X. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic Modeling

Cited by 18

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

Awad, G., Butt, A. A., Curtis, K., Fiscus, J., Godil, A., Lee, Y., Delgado, A., Zhang, J., Godard, E., Chocot, B., et al. (2021) · arXiv

Video Analysis and SummarizationInformation Retrieval and Search Behavior

Cited by 18

LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Patel, P., Kumari, N., Singh, M., & Krishnamurthy, B. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 18

The role of explainable AI in cybersecurity: addressing transparency challenges in autonomous defense systems

Tiwari, S., Sresth, V., & Srivastava, A. (2020) · International Journal of Innovative Research in Science Engineering and Technology

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 18

Measuring Source Credibility of Social Engineering Attackers on Facebook

Algarni, A., Xu, Y., & Chan, T. (2016) · 2016 49th Hawaii International Conference on System Sciences (HICSS)

Spam and Phishing DetectionInformation and Cyber Security

Cited by 18

A Design, Tests and Considerations for Improving Keystroke and Mouse Loggers

Morgan, J. H., Cheng, C.-Y., Pike, C., & Ritter, F. E. (2013) · Interacting with Computers

Usability and User Interface DesignGaze Tracking and Assistive Technology

Cited by 18

A Survey on the Integration and Optimization of Large Language Models in Edge Computing Environments

Bhardwaj, S., Singh, P., & Pandit, M. K. (2024) · 2024 16th International Conference on Computer and Automation Engineering (ICCAE)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 18

Evaluating Morphological Compositional Generalization in Large Language Models

Ismayilzada, M., Circi, D., Sälevä, J., Sirin, H., Köksal, A., Dhingra, B., Bosselut, A., Ataman, D., & Plas, L. V. D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 18

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Assran, M., Balestriero, R., Duval, Q., Bordes, F., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., & Ballas, N. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 18

IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning

Moon, S., Madotto, A., Lin, Z., Saraf, A., Bearman, A., & Damavandi, B. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Multimodal Machine Learning ApplicationsContext-Aware Activity Recognition Systems

Cited by 18