Check computer science papers: citations, claims and retractions

Adversarial attacks on Copyright Detection Systems

Saadatpanah, P., Shafahi, A., & Goldstein, T. (2019) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 36

The moral challenges of driverless cars

Kirkpatrick, K. (2015) · Communications of the ACM

Ethics and Social Impacts of AIAutonomous Vehicle Technology and Safety

Cited by 36

Classification of BGP anomalies using decision trees and fuzzy rough sets

Li, Y., Xing, H.-J., Hua, Q., Wang, X.-Z., Batta, P., Haeri, S., & Trajkovic, L. (2014) · 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 36

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

Madotto, A., Liu, Z., Lin, Z., & Fung, P. (2020) · arXiv

Speech and dialogue systemsDomain Adaptation and Few-Shot Learning

Cited by 36

JARVIS -1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models

Wang, Z., Cai, S., Liu, A., Jin, Y., Hou, J., Zhang, B., Lin, H., He, Z., Zheng, Z., Yang, Y., et al. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 36

Improved Contrastive Divergence Training of Energy Based Models

Du, Y., Li, S., Tenenbaum, J., & Mordatch, I. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 36

RAG-HAT: A hallucination-aware tuning pipeline for LLM in retrieval-augmented generation

Song, J., Wang, X., Zhu, J., Wu, Y., Cheng, X., Zhong, R., & Niu, C. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track

Topic ModelingMultimodal Machine Learning Applications

Cited by 36

Harmonic Loss Function for Sensor-Based Human Activity Recognition Based on LSTM Recurrent Neural Networks

Hu, Y., Zhang, X.-Q., Xu, L., Xian He, F., Tian, Z., She, W., & Liu, W. (2020) · IEEE Access

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 36

An Analysis of Using Many Small Programs in CS1

Allen, J. M., Vahid, F., Edgcomb, A., Downey, K., & Miller, K. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 36

An anonymous distributed electronic voting system using zerocoin

Takabatake, Y., & Okabe, Y. (2021) · 2021 International Conference on Information Networking (ICOIN)

Internet Traffic Analysis and Secure E-votingBlockchain Technology Applications and Security

Cited by 36

CrowdGuard: Federated Backdoor Detection in Federated Learning

Rieger, P., Krauß, T., Miettinen, M., Dmitrienko, A., & Sadeghi, A.-R. (2024) · Proceedings 2024 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 36

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Han, S., Rao, K., Ettinger, A., Jiang, L., Lin, B. Y., Lambert, N., Choi, Y., & Dziri, N. (2024) · Advances in Neural Information Processing Systems 37

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 36

Understanding the Dark Side of LLMs' Intrinsic Self-Correction

Zhang, Q., Wang, D., Qian, H., Li, Y., Zhang, T., Huang, M., Xu, K., Li, H., Yan, L., & Qiu, H. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 36

Quantum walks of two correlated photons in a 2D synthetic lattice

Esposito, C., Barros, M. R., Durán Hernández, A., Carvacho, G., Di Colandrea, F., Barboza, R., Cardano, F., Spagnolo, N., Marrucci, L., & Sciarrino, F. (2022) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 36

The NIST Cybersecurity Framework (CSF) 2.0 (French translation)

NIST, G. M. (2024)

Information and Cyber SecurityInformation Technology Governance and Strategy

Cited by 36

OpenHealth: Open-Source Platform for Wearable Health Monitoring

Bhat, G., Deb, R., & Ogras, U. Y. (2019) · IEEE Design & Test

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 36

Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Zhu, Q., Mathai, T. S., Mukherjee, P., Peng, Y., Summers, R. M., & Lu, Z. (2023) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 36

Hidden conflicts: Explanations make inconsistencies harder to detect

Khemlani, S. S., & Johnson-Laird, P. N. (2012) · Acta Psychologica

Logic, Reasoning, and KnowledgeDecision-Making and Behavioral Economics

Cited by 36

Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records

Ding, J.-E., Thao, P. N. M., Peng, W.-C., Wang, J.-Z., Chug, C.-C., Hsieh, M.-C., Tseng, Y.-C., Chen, L., Luo, D., Wu, C., et al. (2024) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 36

Non-Determinism of “Deterministic” LLM System Settings in Hosted Environments

Atıl, B., Aykent, S., Chittams, A., Fu, L., Passonneau, R. J., Radcliffe, E., Rajagopal, G. R., Sloan, A., Tudrej, T., Ture, F., et al. (2025) · Proceedings of the 5th Workshop on Evaluation and Comparison of NLP Systems

Natural Language Processing TechniquesTopic Modeling

Cited by 36

A correction to impulse invariance

Jackson, L. B. (2000) · IEEE Signal Processing Letters

Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit Design

Cited by 36

Deep learning–based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study

Chen, H., Li, S., Zhang, Y., Liu, L., Lv, X., Yi, Y., Ruan, G., Ke, C., & Feng, Y. (2022) · European Radiology

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 36

A Survey of State-of-the-art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths

Liu, B., Luo, Z., Chen, H., & Li, C. (2022) · IEEE Access

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 36

Uncertainty Visualizations: Helping Decision Makers Become More Aware of Uncertainty and Its Implications

Dong, X., & Hayes, C. C. (2012) · Journal of Cognitive Engineering and Decision Making

Data Visualization and AnalyticsDecision Support System Applications

Cited by 36