Most cited computer science papers
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning
Mahmud, B. U., Hong, G., Lalwani, V. R., Brown, N., & Asher, Z. D. (2025) · Future Internet
Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection
Cited by 8
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Language Models as a Knowledge Source for Cognitive Agents
Wray, R. E., III, Kirk, J. R., & Laird, J. E. (2021) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Exploring the Impact of Data Quality on Business Performance in CRM Systems for Home Appliance Business
Suh, Y. (2023) · IEEE Access
Data Quality and ManagementCustomer churn and segmentation
Cited by 8
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SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems
Sharma, T. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 8
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3D model reconstruction using neural gas accelerated on GPU
Orts-Escolano, S., Garcia-Rodriguez, J., Serra-Perez, J. A., Jimeno-Morenilla, A., Garcia-Garcia, A., Morell, V., & Cazorla, M. (2015) · Applied Soft Computing
3D Shape Modeling and AnalysisNeural Networks and Applications
Cited by 8
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Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
Tung, H.-Y., Ding, M., Chen, Z., Bear, D., Gan, C., Tenenbaum, J., Yamins, D., Fan, J., & Smith, K. (2023) · Advances in Neural Information Processing Systems 36
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 8
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AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing
Berendt, B. (2019) · Paladyn, Journal of Behavioral Robotics
Ethics and Social Impacts of AIInnovation, Technology, and Society
Cited by 8
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Iterative Learning of Answer Set Programs from Context Dependent Examples
LAW, M., RUSSO, A., & BRODA, K. (2016) · Theory and Practice of Logic Programming
Logic, Reasoning, and KnowledgeData Mining Algorithms and Applications
Cited by 8
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Agentic AI: A Quantitative Analysis of Performance and Applications
Sawant, P. (2025) · Preprints.org
Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society
Cited by 8
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A Novel Smart Object-Driven UI Generation Approach for Mobile Devices in the Internet of Things
Belli, L., Cirani, S., Gorrieri, A., & Picone, M. (2015) · Proceedings of the 1st International Workshop on Experiences with the Design and Implementation of Smart Objects
Mobile and Web ApplicationsUsability and User Interface Design
Cited by 8
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Across-Sensor Feature Learning for Energy-Efficient Activity Recognition on Mobile Devices
Gavrilin, Y., & Khan, A. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN)
Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis
Cited by 8
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Learning by Distilling Context
Snell, C., Klein, D., & Zhong, R. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 8
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FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
Dobler, K., & de Melo, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Managing Artificial Intelligence Ethics in Higher Education: A Systematic Framework for Issues and Policy Recommendations
Kaşarcı, İ., Akın Demircan, Z., Çeliker Ercan, G., & İnci, T. (2025) · International Journal of Current Educational Studies
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 8
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DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Xin, H., Guo, D., Shao, Z., Ren, Z., Zhu, Q., Liu, B., Ruan, C., Li, W., & Liang, X. (2024) · arXiv
Mathematics, Computing, and Information ProcessingLogic, programming, and type systems
Cited by 8
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Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes
Derton, A., Guevara, M., Chen, S., Moningi, S., Kozono, D. E., Liu, D., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics
Machine Learning in HealthcareComputational and Text Analysis Methods
Cited by 8
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Oscillation-free Quantization for Low-bit Vision Transformers
Liu, S.-Y., Liu, Z., & Cheng, K.-T. (2023) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 8
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Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
Dapogny, A., Bailly, K., & Cord, M. (2020) · 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
Face recognition and analysisFace Recognition and Perception
Cited by 8
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V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Assran, M., Bardes, A., Fan, D., Garrido, Q., Howes, R., Mojtaba, Komeili, Muckley, M., Rizvi, A., Roberts, C., et al. (2025) · arXiv
Human Pose and Action RecognitionMultimodal Machine Learning Applications
Cited by 8
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A Toolbox for Realtime Timeseries Anomaly Detection
bobel, M., Gerostathopoulos, I., & Bures, T. (2020) · 2020 IEEE International Conference on Software Architecture Companion (ICSA-C)
Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability
Cited by 8
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Power dissipation challenges in multicore floating-point units
Liu, W., & Nannarelli, A. (2010) · ASAP 2010 - 21st IEEE International Conference on Application-specific Systems, Architectures and Processors
Numerical Methods and AlgorithmsLow-power high-performance VLSI design
Cited by 8
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Differences in the Toxic Language of Cross-Platform Communities
Singh, A. K., Ghafouri, V., Such, J., & Suarez-Tangil, G. (2024) · Proceedings of the International AAAI Conference on Web and Social Media
Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts
Cited by 8
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A Deixis-Centered Approach for Documenting Remote Synchronous Communication Around Data Visualizations
Han, C., & Isaacs, K. E. (2025) · IEEE Transactions on Visualization and Computer Graphics
Data Visualization and AnalyticsUsability and User Interface Design
Cited by 8
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Schema-learning and rebinding as mechanisms of in-context learning and emergence
Swaminathan, S., Dedieu, A., Raju, R. V., Shanahan, M., Lazaro-Gredilla, M., & George, D. (2023) · arXiv
Neural Networks and ApplicationsCognitive Science and Education Research
Cited by 8
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