Check computer science papers: citations, claims and retractions

Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network

Diniz, P. H. B., Valente, T. L. A., Diniz, J. O. B., Silva, A. C., Gattass, M., Ventura, N., Muniz, B. C., & Gasparetto, E. L. (2018) · Computer Methods and Programs in Biomedicine

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 34

A Review of Agentic AI in Cybersecurity: Cognitive Autonomy, Ethical Governance, and Quantum-Resilient Defense

ADABARA, I., Olaniyi Sadiq, B., Nuhu Shuaibu, A., Ibarahim Danjuma, Y., & Venkateswarlu, M. (2025) · F1000Research

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 34

Recitation-Augmented Language Models

Sun, Z., Wang, X., Tay, Y., Yang, Y., & Zhou, D. (2022) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 34

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

Parmas, P., Rasmussen, C. E., Peters, J., & Doya, K. (2019) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 34

Combining hierarchy and energy for drawing directed graphs

Carmel, L., Harel, D., & Koren, Y. (2004) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsGraph Theory and Algorithms

Cited by 34

Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension

Zhou, X., Luo, S., & Wu, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 34

Revisiting Challenges in Data-to-Text Generation with Fact Grounding

Wang, H. (2019) · Proceedings of the 12th International Conference on Natural Language Generation

Topic ModelingMultimodal Machine Learning Applications

Cited by 34

Large Language Models are not Fair Evaluators

Wang, P., Li, L., Chen, L., Cai, Z., Zhu, D., Lin, B., Cao, Y., Liu, Q., Liu, T., & Sui, Z. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

Guo, X., Song, X., Zhang, Y., Liu, X., & Liu, X. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 34

MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model

Wu, Y., Zhang, J., Hu, N., Tang, L., Qi, G., Shao, J., Ren, J., & Song, W. (2024) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 34

A novel treatment of fear of flying using a large virtual reality system

Czerniak, E., Caspi, A., Litvin, M., Amiaz, R., Bahat, Y., Baransi, H., Sharon, H., Noy, S., & Plotnik, M. (2016) · Aerospace Medicine and Human Performance

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 34

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge

Ma, L., Zhang, R., Han, Y., Yu, S., Wang, Z., Ning, Z., Zhang, J., Xu, P., Li, P., Qiao, Z., et al. (2023) · arXiv

Advanced Database Systems and QueriesData Management and Algorithms

Cited by 34

Deep learning in digital pathology for personalized treatment plans of cancer patients

Wen, Z., Wang, S., Yang, D. M., Xie, Y., Chen, M., Bishop, J., & Xiao, G. (2023) · Seminars in Diagnostic Pathology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 34

Toward a linear-ramp QAOA protocol: evidence of a scaling advantage in solving some combinatorial optimization problems

Montañez-Barrera, J. A., & Michielsen, K. (2025) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 34

Survey on Fake Profile Detection on Social Sites by Using Machine Learning Algorithm

Patel, K., Agrahari, S., & Srivastava, S. (2020) · 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 34

Reverse engineering the communications protocol of an RFID public transportation card

Fraga-Lamas, P., & Fernandez-Carames, T. M. (2017) · 2017 IEEE International Conference on RFID (RFID)

RFID technology advancementsAdvanced Authentication Protocols Security

Cited by 34

Eavesdrop the Composition Proportion of Training Labels in Federated Learning

Wang, L., Xu, S., Wang, X., & Zhu, Q. (2019) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 34

Continual Learning of Natural Language Processing Tasks: A Survey

Ke, Z., & Liu, B. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 34

Generalized Chaos Synchronization Circuit Simulation and Asymmetric Image Encryption

Wu, Z., Zhang, X., & Zhong, X. (2019) · IEEE Access

Chaos-based Image/Signal EncryptionChaos control and synchronization

Cited by 34

A small quantum computer is needed to optimize fault-tolerant protocols

Iyer, P., & Poulin, D. (2018) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 34

Interrupting invisibility in a global world

Raval, N. (2021) · Interactions

Innovative Human-Technology InteractionInformation Society and Technology Trends

Cited by 34

Recognizing facial expressions by spatio-temporal analysis

Yaccob, Y., & Davis, L. (2002) · Proceedings of 12th International Conference on Pattern Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 34

Estimating verbal expressions of task and social cohesion in meetings by quantifying paralinguistic mimicry

Nanninga, M. C., Zhang, Y., Lehmann-Willenbrock, N., Szlávik, Z., & Hung, H. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 34

Disembodied Machine Learning: On the Illusion of Objectivity in NLP

Waseem, Z., Lulz, S., Bingel, J., & Augenstein, I. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 34