Most cited computer science papers
- Verified
Getting aligned on representational alignment
Sucholutsky, I., Muttenthaler, L., Weller, A., Peng, A., Bobu, A., Kim, B., Love, B. C., Cueva, C. J., Grant, E., Groen, I., et al. (2023) · arXiv
Domain Adaptation and Few-Shot LearningExplainable Artificial Intelligence (XAI)
Cited by 36
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What's The Talk on VUI Guidelines? A Meta-Analysis of Guidelines for Voice User Interface Design
Murad, C., Candello, H., & Munteanu, C. (2023) · Proceedings of the 5th International Conference on Conversational User Interfaces
Usability and User Interface DesignSpeech and dialogue systems
Cited by 36
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A Review of Recent Advances of Binary Neural Networks for Edge Computing
Zhao, W., Ma, T., Gong, X., Zhang, B., & Doermann, D. (2021) · IEEE Journal on Miniaturization for Air and Space Systems
Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing
Cited by 36
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An effective Stackelberg game for high-assurance of data trustworthiness in WSNs
Abdalzaher, M. S., Seddik, K., & Muta, O. (2017) · 2017 IEEE Symposium on Computers and Communications (ISCC)
Security in Wireless Sensor NetworksSmart Grid Security and Resilience
Cited by 36
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Map API - scalable decentralized map building for robots
Cieslewski, T., Lynen, S., Dymczyk, M., Magnenat, S., & Siegwart, R. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)
Robotics and Sensor-Based LocalizationRobotics and Automated Systems
Cited by 36
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A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers
Gao, C., Feng, A., Liu, X., Taylor, R. H., Armand, M., & Unberath, M. (2024) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques
Cited by 36
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Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers
Dorta-González, P., López-Puig, A. J., Dorta-González, M. I., & González-Betancor, S. M. (2024) · Telematics and Informatics
Artificial Intelligence ApplicationsEthics and Social Impacts of AI
Cited by 36
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PD2S: A Privacy-Preserving Differentiated Data Sharing Scheme Based on Blockchain and Federated Learning
Liu, Y., Liu, P., Jing, W., & Song, H. H. (2023) · IEEE Internet of Things Journal
Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data
Cited by 36
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R2-D2: A Modular Baseline for Open-Domain Question Answering
Fajcik, M., Docekal, M., Ondrej, K., & Smrz, P. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021
Topic ModelingInformation Retrieval and Search Behavior
Cited by 36
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Cyberbullying Detection: A Survey on Multilingual Techniques
Haidar, B., Chamoun, M., & Yamout, F. (2016) · 2016 European Modelling Symposium (EMS)
Hate Speech and Cyberbullying DetectionBullying, Victimization, and Aggression
Cited by 36
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Establishing a blockchain-enabled Indigenous data sovereignty framework for genomic data
Mackey, T. K., Calac, A. J., Chenna Keshava, B. S., Yracheta, J., Tsosie, K. S., & Fox, K. (2022) · Cell
Blockchain Technology Applications and SecurityIndigenous Health, Education, and Rights
Cited by 36
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Attention Weighted Local Descriptors
Wang, C., Xu, R., Lu, K., Xu, S., Meng, W., Zhang, Y., Fan, B., & Zhang, X. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques
Cited by 36
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Transfer learning emotion manifestation across music and speech
Coutinho, E., Deng, J., & Schuller, B. (2014) · 2014 International Joint Conference on Neural Networks (IJCNN)
Emotion and Mood RecognitionMusic and Audio Processing
Cited by 36
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Learning to Tokenize for Generative Retrieval
Sun, W., Yan, L., Chen, Z., Wang, S., Zhu, H., Ren, P., Chen, Z., Yin, D., de Rijke, M., & Ren, Z. (2023) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 36
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Pay for performance, satisfaction and retention in longitudinal crowdsourced research
Auer, E. M., Behrend, T. S., Collmus, A. B., Landers, R. N., & Miles, A. F. (2021) · PLOS ONE
Mobile Crowdsensing and CrowdsourcingExperimental Behavioral Economics Studies
Cited by 36
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User Context Ontology for Adaptive Mobile-Phone Interfaces
Iqbal, M. W., Ch, N. A., Shahzad, S. K., Naqvi, M. R., Khan, B. A., & Ali, Z. (2021) · IEEE Access
Semantic Web and OntologiesContext-Aware Activity Recognition Systems
Cited by 36
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When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
Zhang, L., Wang, X., Yang, D., Sanford, T., Harmon, S., Turkbey, B., Roth, H., Myronenko, A., Xu, D., & Xu, Z. (2019) · arXiv
Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques
Cited by 36
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An AI toolkit to support teacher reflection
Phillips, T. M., Saleh, A., & Ozogul, G. (2023) · International Journal of Artificial Intelligence in Education
Online Learning and AnalyticsArtificial Intelligence in Education
Cited by 36
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A Framework for Investigating the Performance of Chaotic-Map Truly Random Number Generators
Beirami, A., & Nejati, H. (2013) · IEEE Transactions on Circuits and Systems II: Express Briefs
Chaos-based Image/Signal EncryptionPhysical Unclonable Functions (PUFs) and Hardware Security
Cited by 36
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Agentic AI Frameworks in SMMEs: A Systematic Literature Review of Ecosystemic Interconnected Agents
Olujimi, P. A., Owolawi, P. A., Mogase, R. C., & Wyk, E. V. (2025) · AI
Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society
Cited by 36
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MRI Super-Resolution With Partial Diffusion Models
Zhao, K., Pang, K., Hung, A. L. Y., Zheng, H., Yan, R., & Sung, K. (2025) · IEEE Transactions on Medical Imaging
Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis
Cited by 36
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Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder
Abdi, G., Samadzadegan, F., & Reinartz, P. (2017) · Journal of Applied Remote Sensing
Remote-Sensing Image ClassificationAdvanced Image Fusion Techniques
Cited by 36
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Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
Kenthapadi, K., Sameki, M., & Taly, A. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning
Cited by 36
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To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models
Bo, J. Y., Wan, S., & Anderson, A. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AIHuman-Automation Interaction and Safety
Cited by 36
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