Most cited computer science papers
- Verified
Embeddings for Word Sense Disambiguation: An Evaluation Study
Iacobacci, I., Pilehvar, M. T., & Navigli, R. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 253
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Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19
Vaid, A., Jaladanki, S. K., Xu, J., Teng, S., Kumar, A., Lee, S., Somani, S., Paranjpe, I., Freitas, J. K. D., Wanyan, T., et al. (2020) · JMIR Medical Informatics
Machine Learning in HealthcarePrivacy-Preserving Technologies in Data
Cited by 253
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Transfer learning with convolutional neural networks for classification of abdominal ultrasound images
Cheng, P. M., & Malhi, H. S. (2017) · Journal of Digital Imaging
Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education
Cited by 253
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A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Han, D., Mulyana, B., Stankovic, V., & Cheng, S. (2023) · Sensors
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 253
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Feature weighting in content based recommendation system using social network analysis
Debnath, S., Ganguly, N., & Mitra, P. (2008) · Proceedings of the 17th international conference on World Wide Web
Recommender Systems and TechniquesInformation Retrieval and Data Mining
Cited by 253
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One Model To Learn Them All
Kaiser, L., Gomez, A. N., Shazeer, N., Vaswani, A., Parmar, N., Jones, L., & Uszkoreit, J. (2017) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 253
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Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Suzgun, M., Scales, N., Schärli, N., Gehrmann, S., Tay, Y., Chung, H. W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al. (2023) · Findings of the Association for Computational Linguistics: ACL 2023
Topic ModelingNatural Language Processing Techniques
Cited by 253
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Holistic Scene Understanding for 3D Object Detection with RGBD Cameras
Lin, D., Fidler, S., & Urtasun, R. (2013) · 2013 IEEE International Conference on Computer Vision
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 253
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Facial Expression Recognition Using Facial Movement Features
Zhang, L., & Tjondronegoro, D. (2011) · IEEE Transactions on Affective Computing
Emotion and Mood RecognitionFace and Expression Recognition
Cited by 253
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More Agents Is All You Need
Li, J., Zhang, Q., Yu, Y., Fu, Q., & Ye, D. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 253
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Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion
Byra, M., Galperin, M., Ojeda‐Fournier, H., Olson, L., O'Boyle, M., Comstock, C., & Andre, M. (2019) · Medical Physics
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 253
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The challenge of crafting intelligible intelligence
Weld, D. S., & Bansal, G. (2019) · Communications of the ACM
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 253
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Ontology‐based activity recognition in intelligent pervasive environments
Chen, L., & Nugent, C. (2009) · International Journal of Web Information Systems
Context-Aware Activity Recognition SystemsInnovation in Digital Healthcare Systems
Cited by 253
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SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
Varga, L. A., Kiefer, B., Messmer, M., & Zell, A. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods
Cited by 253
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Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Garipov, T., Izmailov, P., Podoprikhin, D., Vetrov, D., & Wilson, A. G. (2018) · arXiv
Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification
Cited by 252
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ToTTo: A Controlled Table-To-Text Generation Dataset
Parikh, A., Wang, X., Gehrmann, S., Faruqui, M., Dhingra, B., Yang, D., & Das, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Topic ModelingMultimodal Machine Learning Applications
Cited by 252
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How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis Services
Scheuerman, M. K., Paul, J. M., & Brubaker, J. R. (2019) · Proceedings of the ACM on Human-Computer Interaction
Ethics and Social Impacts of AIFace recognition and analysis
Cited by 252
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ToTTo: A Controlled Table-To-Text Generation Dataset
Parikh, A. P., Wang, X., Gehrmann, S., Faruqui, M., Dhingra, B., Yang, D., & Das, D. (2020) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 252
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Inference on networks of mixtures for robust robot mapping
Olson, E., & Agarwal, P. (2013) · The International Journal of Robotics Research
Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks
Cited by 252
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Anytime Bottom-Up Rule Learning for Knowledge Graph Completion
Meilicke, C., Chekol, M. W., Ruffinelli, D., & Stuckenschmidt, H. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Advanced Graph Neural NetworksSemantic Web and Ontologies
Cited by 252
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Beware explanations from AI in health care
Babic, B., Gerke, S., Evgeniou, T., & Cohen, I. G. (2021) · Science
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 252
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Eigenvectors and functions of the discrete Fourier transform
Dickinson, B., & Steiglitz, K. (1982) · IEEE Transactions on Acoustics, Speech, and Signal Processing
Digital Filter Design and ImplementationMathematical Analysis and Transform Methods
Cited by 252
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Neural Representations of Self versus Other: Visual-Spatial Perspective Taking and Agency in a Virtual Ball-tossing Game
David, N., Bewernick, B. H., Cohen, M. X., Newen, A., Lux, S., Fink, G. R., Shah, N. J., & Vogeley, K. (2006) · Journal of Cognitive Neuroscience
Virtual Reality Applications and ImpactsAction Observation and Synchronization
Cited by 252
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Decoherence in quantum walks – a review
KENDON, V. (2007) · Mathematical Structures in Computer Science
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 252
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