Most cited computer science papers
- Verified
Financial Risk Management and Explainable, Trustworthy, Responsible AI
Fritz-Morgenthal, S., Hein, B., & Papenbrock, J. (2022) · Frontiers in Artificial Intelligence
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 147
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Towards building multilingual language model for medicine
Qiu, P., Wu, C., Zhang, X., Lin, W., Wang, H., Zhang, Y., Wang, Y., & Xie, W. (2024) · Nature Communications
Topic ModelingNatural Language Processing Techniques
Cited by 147
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3D Object Detection from Images for Autonomous Driving: A Survey
Ma, X., Ouyang, W., Simonelli, A., & Ricci, E. (2022) · arXiv
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 147
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Searching for better configurations: a rigorous approach to clone evaluation
Wang, T., Harman, M., Jia, Y., & Krinke, J. (2013) · Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 147
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Automatic behavior descriptors for psychological disorder analysis
Scherer, S., Stratou, G., Mahmoud, M., Boberg, J., Gratch, J., Rizzo, A., & Morency, L.-P. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Emotion and Mood RecognitionMental Health via Writing
Cited by 147
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Impact of cloudlets on interactive mobile cloud applications
Fesehaye, D., Gao, Y., Nahrstedt, K., & Wang, G. (2012) · 2012 IEEE 16th International Enterprise Distributed Object Computing Conference
IoT and Edge/Fog ComputingCaching and Content Delivery
Cited by 147
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InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Zhan, Q., Liang, Z., Ying, Z., & Kang, D. (2024) · Findings of the Association for Computational Linguistics: ACL 2024
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 147
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A Review of SLAM Techniques and Security in Autonomous Driving
Singandhupe, A., & La, H. M. (2019) · 2019 Third IEEE International Conference on Robotic Computing (IRC)
Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety
Cited by 147
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A robust medical image encryption in dual domain: chaos-DNA-IWT combined approach
Banu S, A., & Amirtharajan, R. (2020) · Medical & Biological Engineering & Computing
Chaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking Techniques
Cited by 147
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A new approach for brain tumor segmentation and classification based on score level fusion using transfer learning
Amin, J., Sharif, M., Yasmin, M., Saba, T., Anjum, M. A., & Fernandes, S. L. (2019) · Journal of Medical Systems
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 147
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GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography
Li, W., & Hsu, C.-Y. (2022) · ISPRS International Journal of Geo-Information
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 147
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What the App is That? Deception and Countermeasures in the Android User Interface
Bianchi, A., Corbetta, J., Invernizzi, L., Fratantonio, Y., Kruegel, C., & Vigna, G. (2015) · 2015 IEEE Symposium on Security and Privacy
Advanced Malware Detection TechniquesSecurity and Verification in Computing
Cited by 147
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Federated learning-based cognitive detection of jamming attack in flying Ad-Hoc network
Mowla, N. I., Tran, N. H., Doh, I., & Chae, K. (2020) · IEEE Access
Mobile Ad Hoc NetworksSecurity in Wireless Sensor Networks
Cited by 147
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DeepFake video detection using convolutional vision transformer
Wodajo, D., & Atnafu, S. (2021) · arXiv
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 147
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Virtual reality and collaborative learning: a systematic literature review
van der Meer, N., van der Werf, V., Brinkman, W.-P., & Specht, M. (2023) · Frontiers in Virtual Reality
Virtual Reality Applications and ImpactsEducation and Learning Interventions
Cited by 147
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Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
Blodgett, S. L., Lopez, G., Olteanu, A., Sim, R., & Wallach, H. (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)
Ethics and Social Impacts of AITopic Modeling
Cited by 147
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Quick Completeness Proofs for some Logics of Conditionals
Burgess, J. P. (1981) · Notre Dame Journal of Formal Logic
Logic, Reasoning, and KnowledgeAdvanced Algebra and Logic
Cited by 147
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Quantum Neural Networks
Ezhov, A. A., & Ventura, D. (2000) · Studies in Fuzziness and Soft Computing
Quantum Computing Algorithms and ArchitectureNeural Networks and Applications
Cited by 147
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Challenges, Applications and Design Aspects of Federated Learning: A Survey
Rahman, K. M. J., Ahmed, F., Akhter, N., Hasan, M., Amin, R., Aziz, K. E., Islam, A. K. M. M., Mukta, M. S. H., & Islam, A. K. M. N. (2021) · IEEE Access
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 147
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Neural Machine Translation with Supervised Attention
Liu, L., Utiyama, M., Finch, A., & Sumita, E. (2016) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 146
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Quality control stress test for deep learning-based diagnostic model in digital pathology
Schömig-Markiefka, B., Pryalukhin, A., Hulla, W., Bychkov, A., Fukuoka, J., Madabhushi, A., Achter, V., Nieroda, L., Büttner, R., Quaas, A., et al. (2021) · Modern Pathology
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 146
- Verified
Destination recommendation systems: behavioural foundations and applications
(2006) · CABI eBooks
Recommender Systems and TechniquesDiverse Aspects of Tourism Research
Cited by 146
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Data Visualization in the Neurosciences: Overcoming the Curse of Dimensionality
Allen, E. A., Erhardt, E. B., & Calhoun, V. D. (2012) · Neuron
Data Visualization and AnalyticsAcademic Writing and Publishing
Cited by 146
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Behavioral Based Insider Threat Detection Using Deep Learning
Nasir, R., Afzal, M., Latif, R., & Iqbal, W. (2021) · IEEE Access
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 146
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