Check computer science papers: citations, claims and retractions

Volume estimation of the thalamus using freesurfer and stereology: consistency between methods

Keller, S. S., Gerdes, J. S., Mohammadi, S., Kellinghaus, C., Kugel, H., Deppe, K., Ringelstein, E. B., Evers, S., Schwindt, W., & Deppe, M. (2012) · Neuroinformatics

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 84

Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress

Wang, H., Khajepour, A., Cao, D., & Liu, T. (2022) · IEEE Intelligent Transportation Systems Magazine

Ethics and Social Impacts of AIAutonomous Vehicle Technology and Safety

Cited by 84

The Ethics of Artificial Intelligence: Examining the Ethical Considerations Surrounding the Development and Use of AI

Huriye, A. Z. (2023) · American Journal of Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 84

Exploiting Style Latent Flows for Generalizing Deepfake Video Detection

Choi, J., Kim, T., Jeong, Y., Baek, S., & Choi, J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 84

Chain FL: Decentralized Federated Machine Learning via Blockchain

Korkmaz, C., Kocas, H. E., Uysal, A., Masry, A., Ozkasap, O., & Akgun, B. (2020) · 2020 Second International Conference on Blockchain Computing and Applications (BCCA)

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 84

Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations

Al-khazraji, S., Berke, L., Kafle, S., Yeung, P., & Huenerfauth, M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Hand Gesture Recognition SystemsHuman Motion and Animation

Cited by 84

Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology

Alexander, C. S., Yarborough, M., & Smith, A. (2024) · Precision Agriculture

Ethics and Social Impacts of AISmart Agriculture and AI

Cited by 84

Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes

Chakraborty, I., Kim, M., & Sudhir, K. (2022) · Journal of Marketing Research

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 84

Detecting Deteriorating Patients in the Hospital: Development and Validation of a Novel Scoring System

Pimentel, M. A. F., Redfern, O. C., Malycha, J., Meredith, P., Prytherch, D., Briggs, J., Young, J. D., Clifton, D. A., Tarassenko, L., & Watkinson, P. J. (2021) · American Journal of Respiratory and Critical Care Medicine

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 84

Using Opinion Mining Techniques in Tourism

Bucur, C. (2015) · Procedia Economics and Finance

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 84

Multi-Task Self-Training for Learning General Representations

Ghiasi, G., Zoph, B., Cubuk, E. D., Le, Q. V., & Lin, T.-Y. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 84

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias

Bartl, M., Nissim, M., & Gatt, A. (2020) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 84

Open Category Classification by Adversarial Sample Generation

Yu, Y., Qu, W.-Y., Li, N., & Guo, Z. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 84

Distributed Variational Representation Learning

Aguerri, I. E., & Zaidi, A. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Distributed Sensor Networks and Detection AlgorithmsStochastic Gradient Optimization Techniques

Cited by 84

Few-Shot Class-Incremental Learning for Classification and Object Detection: A Survey

Zhang, J., Liu, L., Silvén, O., Pietikäinen, M., & Hu, D. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 84

From sonic Pi to overtone: creative musical experiences with domain-specific and functional languages

Aaron, S., & Blackwell, A. F. (2013) · Proceedings of the first ACM SIGPLAN workshop on Functional art, music, modeling & design

Teaching and Learning ProgrammingMusic Technology and Sound Studies

Cited by 84

TRUE: Re-evaluating Factual Consistency Evaluation

Honovich, O., Aharoni, R., Herzig, J., Taitelbaum, H., Kukliansy, D., Cohen, V., Scialom, T., Szpektor, I., Hassidim, A., & Matias, Y. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 84

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

Thakur, S., Doshi, J., Pati, S., Rathore, S., Sako, C., Bilello, M., Ha, S. M., Shukla, G., Flanders, A., Kotrotsou, A., et al. (2020) · NeuroImage

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 84

Advancing medical imaging informatics by deep learning-based domain adaptation

Choudhary, A., Tong, L., Zhu, Y., & Wang, M. D. (2020) · Yearbook of Medical Informatics

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 84

Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review

Zhu, Y., Long, Y., Wang, H., Lee, K. P., Zhang, L., & Wang, S. J. (2024) · Journal of Medical Internet Research

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 84

Online learning about other agents in a dynamic multiagent system

Hu, J., & Wellman, M. P. (1998) · Proceedings of the second international conference on Autonomous agents - AGENTS '98

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 84

End-to-End Federated Learning for Autonomous Driving Vehicles

Zhang, H., Bosch, J., & Olsson, H. H. (2021) · 2021 International Joint Conference on Neural Networks (IJCNN)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 84

Smart Video Surveillance System Based on Edge Computing

Cob-Parro, A. C., Losada-Gutiérrez, C., Marrón-Romera, M., Gardel-Vicente, A., & Bravo-Muñoz, I. (2021) · Sensors

Video Surveillance and Tracking MethodsIoT and Edge/Fog Computing

Cited by 84

Has open data arrived at the British Medical Journal (BMJ) ? An observational study

Rowhani-Farid, A., & Barnett, A. G. (2016) · BMJ Open

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 84