Most cited computer science papers
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Cyber Security Issues and Challenges Related to Generative AI and ChatGPT
Pasupuleti, R., Vadapalli, R., & Mader, C. (2023) · 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)
Adversarial Robustness in Machine LearningInformation and Cyber Security
Cited by 26
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Integrating Federated Learning for Improved Counterfactual Explanations in Clinical Decision Support Systems for Sepsis Therapy
Düsing, C., Cimiano, P., Rehberg, S., Scherer, C., Kaup, O., Köster, C., Hellmich, S., Herrmann, D., Meier, K. L., Claßen, S., et al. (2024) · Artificial Intelligence in Medicine
Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data
Cited by 26
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A Systematic Survey of Automatic Prompt Optimization Techniques
Ramnath, K., Zhou, K., Guan, S., Mishra, S. S., Qi, X., Shen, Z., Wang, S., Woo, S., Jeoung, S., Wang, Y., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 26
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Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms
Ahuja, A., Rao, N., Katariya, S., Subbian, K., & Reddy, C. K. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining
Information Retrieval and Search BehaviorTopic Modeling
Cited by 26
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An Introduction to Boson-Sampling
Gard, B. T., Motes, K. R., Olson, J. P., Rohde, P. P., & Dowling, J. P. (2015) · From Atomic to Mesoscale
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 26
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Human gaze-aware attentive object detection for ambient intelligence
Cho, D.-Y., & Kang, M.-K. (2021) · Engineering Applications of Artificial Intelligence
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 26
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Dialog context language modeling with recurrent neural networks
Liu, B., & Lane, I. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech and dialogue systemsSpeech Recognition and Synthesis
Cited by 26
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Can small quantum systems learn
Wiebe, N., & Grandade, C. (2017) · Quantum Information and Computation
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 26
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Potential speech features for cognitive load measurement
Khawaja, M. A., Ruiz, N., & Chen, F. (2007) · Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces
Emotion and Mood RecognitionUsability and User Interface Design
Cited by 26
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Data Quality–Driven Improvement in Health Care: Systematic Literature Review
Lighterness, A., Adcock, M., Scanlon, L. A., & Price, G. (2024) · Journal of Medical Internet Research
Data Quality and ManagementMedical Coding and Health Information
Cited by 26
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Psychiatric interventions in virtual reality: why we need an ethical framework
MARLOTH, M., CHANDLER, J., & VOGELEY, K. (2020) · Cambridge Quarterly of Healthcare Ethics
Virtual Reality Applications and ImpactsNeuroethics, Human Enhancement, Biomedical Innovations
Cited by 26
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Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers
Scherer, M., Macan, L., Jung, V. J. B., Wiese, P., Bompani, L., Burrello, A., Conti, F., & Benini, L. (2024) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Embedded Systems Design TechniquesParallel Computing and Optimization Techniques
Cited by 26
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BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk
Wu, Y., Liu, Z., Wu, L., Chen, M., & Tong, W. (2021) · Frontiers in Artificial Intelligence
Topic ModelingDrug-Induced Hepatotoxicity and Protection
Cited by 26
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Describing economic agent-based models—Dahlem ABM documentation guidelines
Wolf, S., Bouchaud, J.-P., Cecconi, F., Cincotti, S., Dawid, H., Gintis, H., van der Hoog, S., Jaegera, C. C., Kovalevsky, D. V., Mandel, A., et al. (2013) · Complexity Economics
Multi-Agent Systems and NegotiationComplex Systems and Time Series Analysis
Cited by 26
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An Event-Driven Service Provisioning Mechanism for IoT (Internet of Things) System Interaction
Zhao, S., Yu, L., & Cheng, B. (2016) · IEEE Access
IoT and Edge/Fog ComputingService-Oriented Architecture and Web Services
Cited by 26
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Ethics dumping in artificial intelligence
Bélisle-Pipon, J.-C., & Victor, G. (2024) · Frontiers in Artificial Intelligence
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 26
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Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding
Hwang, M., Jeong, J., Kim, M., Oh, Y., & Oh, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reinforcement Learning in RoboticsMultimodal Machine Learning Applications
Cited by 26
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But Who Protects the Moderators? The Case of Crowdsourced Image Moderation
Dang, B., Riedl, M. J., & Lease, M. (2018) · arXiv
Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI
Cited by 26
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Emerging from AI utopia
Santow, E. (2020) · Science
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 26
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Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?
Wang, G., Sun, Z., Ye, S., Gong, Z., Chen, Y., Zhao, Y., Liang, Q., & Hao, D. (2026) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchTopic Modeling
Cited by 26
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Seagull optimization algorithm based multi-objective vm placement in edge-cloud data centers
Nabavi, S., Wen, L., Gill, S. S., & Xu, M. (2023) · Internet of Things and Cyber-Physical Systems
Cloud Computing and Resource ManagementEnergy Efficiency in Computing
Cited by 26
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Rethinking Dating Apps as Sexual Consent Apps: A New Use Case for AI-Mediated Communication
Furlo, N., Gleason, J., Feun, K., & Zytko, D. (2021) · Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing
Innovative Human-Technology InteractionSexual Assault and Victimization Studies
Cited by 26
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Transformer Memory for Interactive Visual Navigation in Cluttered Environments
Li, W., Hong, R., Shen, J., Yuan, L., & Lu, Y. (2023) · IEEE Robotics and Automation Letters
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 26
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Reliable Natural Language Understanding with Large Language Models and Answer Set Programming
Rajasekharan, A., Zeng, Y., Padalkar, P., & Gupta, G. (2023) · Electronic Proceedings in Theoretical Computer Science
Logic, Reasoning, and KnowledgeNatural Language Processing Techniques
Cited by 26
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