Check computer science papers: citations, claims and retractions

Efficient frontier detection for robot exploration

Keidar, M., & Kaminka, G. A. (2014) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 151

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

Yao, Z., Aminabadi, R. Y., Zhang, M., Wu, X., Li, C., & He, Y. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 151

Reachability Deficits in Quantum Approximate Optimization

Akshay, V., Philathong, H., Morales, M. E. S., & Biamonte, J. D. (2020) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 151

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Yoo, K. M., Park, D., Kang, J., Lee, S.-W., & Park, W. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 151

The Benefits of a Model of Annotation

Passonneau, R. J., & Carpenter, B. (2014) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesReliability and Agreement in Measurement

Cited by 151

Comparing manual and automatic segmentation of hippocampal volumes: reliability and validity issues in younger and older brains

Wenger, E., Mårtensson, J., Noack, H., Bodammer, N. C., Kühn, S., Schaefer, S., Heinze, H., Düzel, E., Bäckman, L., Lindenberger, U., et al. (2014) · Human Brain Mapping

Medical Image Segmentation TechniquesDementia and Cognitive Impairment Research

Cited by 151

Visuo-acoustic stimulation that helps you to relax: a virtual reality setup for patients in the intensive care unit

Gerber, S. M., Jeitziner, M.-M., Wyss, P., Chesham, A., Urwyler, P., Müri, R. M., Jakob, S. M., & Nef, T. (2017) · Scientific Reports

Virtual Reality Applications and ImpactsIntensive Care Unit Cognitive Disorders

Cited by 151

Museum Genomics

Card, D. C., Shapiro, B., Giribet, G., Moritz, C., & Edwards, S. V. (2021) · Annual Review of Genetics

Research Data Management PracticesEnvironmental DNA in Biodiversity Studies

Cited by 151

When big data meets dataveillance: the hidden side of analytics

Degli Esposti, S. (2014) · Surveillance & Society

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 151

Artificial Moral Agents: A Survey of the Current Status

Cervantes, J.-A., López, S., Rodríguez, L.-F., Cervantes, S., Cervantes, F., & Ramos, F. (2020) · Science and Engineering Ethics

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 151

Inattentive responding in MTurk and other online samples

Fleischer, A., Mead, A. D., & Huang, J. (2015) · Industrial and Organizational Psychology

Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse

Cited by 151

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models

Hoover, B., Strobelt, H., & Gehrmann, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 151

Fake Face Detection Methods: Can They Be Generalized?

Khodabakhsh, A., Ramachandra, R., Raja, K., Wasnik, P., & Busch, C. (2018) · 2018 International Conference of the Biometrics Special Interest Group (BIOSIG)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 151

The Curse of Recursion: Training on Generated Data Makes Models Forget

Shumailov, I., Shumaylov, Z., Zhao, Y., Gal, Y., Papernot, N., & Anderson, R. (2023) · arXiv

Reinforcement Learning in RoboticsScientific Computing and Data Management

Cited by 151

Decolonising Speech and Language Technology

Bird, S. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Ethics and Social Impacts of AIIndigenous Health, Education, and Rights

Cited by 151

Decision Problems in Blockchain Governance: Old Wine in New Bottles or Walking in Someone Else’s Shoes?

Ziolkowski, R., Miscione, G., & Schwabe, G. (2020) · Journal of Management Information Systems

Blockchain Technology Applications and SecurityInformation Technology Governance and Strategy

Cited by 151

Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators

Chandrasekharan, E., Gandhi, C., Mustelier, M. W., & Gilbert, E. (2019) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 151

Large Language Models as Optimizers

Yang, C., Wang, X., Lu, Y., Liu, H., Le, Q. V., Zhou, D., & Chen, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 151

Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos

Cao, X., Wu, C., Yan, P., & Li, X. (2011) · 2011 18th IEEE International Conference on Image Processing

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 151

Gaussian Conditional Random Field Network for Semantic Segmentation

Vemulapalli, R., Tuzel, O., Liu, M.-Y., & Chellappa, R. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 150

A character-level error analysis technique for evaluating text entry methods

MacKenzie, I. S., & Soukoreff, R. W. (2002) · Proceedings of the second Nordic conference on Human-computer interaction

Usability and User Interface DesignUser Authentication and Security Systems

Cited by 150

CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking

Wang, H., Zheng, S., Chen, Y., Cheng, L., & Chen, Q. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 150

Prompt Engineering for Healthcare: Methodologies and Applications

Wang, J., Shi, E., Yu, S., Wu, Z., Ma, C., Dai, H., Yang, Q., Kang, Y., Wu, J., Hu, H., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 150

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

Mei, X., Meng, C., Liu, H., Kong, Q., Ko, T., Zhao, C., Plumbley, M. D., Zou, Y., & Wang, W. (2024) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Multimodal Machine Learning ApplicationsMusic and Audio Processing

Cited by 150