Most cited computer science papers
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Computer-Aided Diagnosis by Tissue Image Analysis as an Optical Biopsy in Hysteroscopy
Tanos, V., Neofytou, M., Tanos, P., Pattichis, C. S., & Pattichis, M. S. (2022) · International Journal of Molecular Sciences
AI in cancer detectionImage Retrieval and Classification Techniques
Cited by 10
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Next-Gen Explainable AI (XAI) for Federated and Distributed Internet of Things Systems: A State-of-the-Art Survey
Karras, A., Giannaros, A., Amasiadi, N., & Karras, C. (2026) · Future Internet
Explainable Artificial Intelligence (XAI)IoT and Edge/Fog Computing
Cited by 10
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Neural networks memorise personal information from one sample
Hartley, J., Sanchez, P. P., Haider, F., & Tsaftaris, S. A. (2023) · Scientific Reports
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 10
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Towards an Explainable Approach for Insider Threat Detection: Constraint Network Learning
Orizio, R., Vuppala, S., Basagiannis, S., & Provan, G. (2020) · 2020 International Conference on Intelligent Data Science Technologies and Applications (IDSTA)
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 10
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Cognitive Call Admission Control for VoIP over IEEE 802.11 Using Bayesian Networks
Quer, G., Baldo, N., & Zorzi, M. (2011) · 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
Wireless Networks and ProtocolsWireless Communication Networks Research
Cited by 10
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Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
Amrhein, C., & Sennrich, R. (2022) · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 10
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Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond
Dycke, N., Kuznetsov, I., & Gurevych, I. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022
Ethics and Social Impacts of AIComputational and Text Analysis Methods
Cited by 10
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Social engineering attack modeling with the use of Bayesian networks
Abramov, M. V., & Azarov, A. A. (2016) · 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM)
Information and Cyber SecurityAdversarial Robustness in Machine Learning
Cited by 10
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Large language model validity via enhanced conformal prediction methods
Cherian, J. J., Gibbs, I., & Candès, E. J. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 10
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IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text
Moon, S., Madotto, A., Lin, Z., Dirafzoon, A., Saraf, A., Bearman, A., & Damavandi, B. (2022) · arXiv
Multimodal Machine Learning ApplicationsContext-Aware Activity Recognition Systems
Cited by 10
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Instruction Fine-Tuning: Does Prompt Loss Matter?
Huerta-Enochian, M., & Ko, S. Y. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 10
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Low delay error resilience algorithm for H. 265| HEVC video transmission
Alfaqheri, T. T., & Sadka, A. H. (2020) · Journal of Real-Time Image Processing
Video Coding and Compression TechnologiesImage and Video Quality Assessment
Cited by 10
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Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise
Hong, G., Kim, J., Kang, J., Myaeng, S.-H., & Whang, J. J. (2023) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 10
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AttAuth: An implicit authentication framework for smartphone users using multimodality data
Zhao, C., Gao, F., & Shen, Z. (2024) · IEEE Internet of Things Journal
User Authentication and Security SystemsBiometric Identification and Security
Cited by 10
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Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images
Liu, Y., He, Q., Duan, H., Shi, H., Han, A., & He, Y. (2022) · Sensors
AI in cancer detectionMedical Image Segmentation Techniques
Cited by 10
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A FAIR Perspective on Data-Quality Frameworks
Nicholson, N., Negrao Carvalho, R., & Štotl, I. (2025) · Data
Data Quality and ManagementResearch Data Management Practices
Cited by 10
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Large language models for agentic NetOps and AIOps: Architectures, evaluation, and safety
Bilal, M., Crowcroft, J., Wang, R., Xu, X., & Dustdar, S. (2027) · Computer Science Review
Software System Performance and ReliabilityAdversarial Robustness in Machine Learning
Cited by 10
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LLM Critics Help Catch LLM Bugs
McAleese, N., Pokorny, R. M., Uribe, J. F. C., Nitishinskaya, E., Trebacz, M., & Leike, J. (2024) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 10
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PaReco: patched clones and missed patches among the divergent variants of a software family
Ramkisoen, P. K., Businge, J., van Bladel, B., Decan, A., Demeyer, S., De Roover, C., & Khomh, F. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Engineering ResearchAdvanced Software Engineering Methodologies
Cited by 10
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A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL
Jakšić, Z., Cadenelli, N., Prats, D. B., Polo, J., Berral Garcia, J. L., & Perez, D. C. (2020) · Future Generation Computer Systems
Embedded Systems Design TechniquesParallel Computing and Optimization Techniques
Cited by 10
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Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
Yin, F., Vig, J., Laban, P., Joty, S., Xiong, C., & Wu, C.-S. J. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 10
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An Analysis of Swarm Intelligence based Load Balancing Algorithms in a Cloud Computing Environment
Singhal, U., & Jain, S. (2015) · International Journal of Hybrid Information Technology
Cloud Computing and Resource ManagementMetaheuristic Optimization Algorithms Research
Cited by 10
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Block-Based Arnold Chaotic Map for Image Encryption
Rachmawanto, E. H., De Rosal, I. M. S., Sari, C. A., Agus Santoso, H., Rafrastara, F. A., & Sugiarto, E. (2019) · 2019 International Conference on Information and Communications Technology (ICOIACT)
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 10
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Inovasi Media Pembelajaran Menggunakan AR (Augmented Reality) pada Materi Sistem Pencernaan: (Learning Media Innovation Using Augmented Reality on Digestive System Material)
Resti, N., Ridwan, R., Palupy, R. T., & Riandi, R. (2024) · BIODIK
Augmented Reality ApplicationsMultimedia Learning Systems
Cited by 10
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