Check computer science papers: citations, claims and retractions

Compositional Semantic Parsing on Semi-Structured Tables

Pasupat, P., & Liang, P. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 514

Data security and privacy-preserving in edge computing paradigm: survey and open issues

Zhang, J., Chen, B., Zhao, Y., Cheng, X., & Hu, F. (2018) · IEEE Access

IoT and Edge/Fog ComputingCloud Data Security Solutions

Cited by 514

A Systematic Review of Automatic Question Generation for Educational Purposes

Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 514

A CNN Regression Approach for Real-Time 2D/3D Registration

Miao, S., Wang, Z. J., & Liao, R. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 514

Identifying Customer Needs from User-Generated Content

Timoshenko, A., & Hauser, J. R. (2019) · Marketing Science

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 513

Split learning for health: Distributed deep learning without sharing raw patient data

Vepakomma, P., Gupta, O., Swedish, T., & Raskar, R. (2018) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 513

Implications of Historical Trends in the Electrical Efficiency of Computing

Koomey, J., Berard, S., Sanchez, M., & Wong, H. (2011) · IEEE Annals of the History of Computing

History of Computing TechnologiesParallel Computing and Optimization Techniques

Cited by 513

Calibrate Before Use: Improving Few-Shot Performance of Language Models

Zhao, T. Z., Wallace, E., Feng, S., Klein, D., & Singh, S. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 513

Good debt or bad debt: Detecting semantic orientations in economic texts

Malo, P., Sinha, A., Korhonen, P., Wallenius, J., & Takala, P. (2014) · Journal of the Association for Information Science and Technology

Sentiment Analysis and Opinion MiningStock Market Forecasting Methods

Cited by 513

Fault-Tolerant Quantum Computation with Constant Error Rate

Aharonov, D., & Ben-Or, M. (2008) · SIAM Journal on Computing

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 513

Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data

Veale, M., & Binns, R. (2017) · Big Data & Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 512

Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities

Pham, H., Liang, P. P., Manzini, T., Morency, L.-P., & Póczos, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 512

SpeechBrain: A General-Purpose Speech Toolkit

Ravanelli, M., Parcollet, T., Plantinga, P., Rouhe, A., Cornell, S., Lugosch, L., Subakan, C., Dawalatabad, N., Heba, A., Zhong, J., et al. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 512

Data colonialism through accumulation by dispossession: New metaphors for daily data

Thatcher, J., O’Sullivan, D., & Mahmoudi, D. (2016) · Environment and Planning D: Society and Space

Ethics and Social Impacts of AICultural Studies and Postmodernism

Cited by 512

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Guan, Y., & Plötz, T. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 511

Big Data from the South(s): Beyond Data Universalism

Milan, S., & Treré, E. (2019) · Television & New Media

Ethics and Social Impacts of AIDecolonial Thought and Epistemologies

Cited by 511

What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models

Ettinger, A. (2020) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 511

Multimodal intelligence: Representation learning, information fusion, and applications

Zhang, C., Yang, Z., He, X., & Deng, L. (2020) · IEEE Journal of Selected Topics in Signal Processing

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 511

System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis

Hyzy, M., Bond, R., Mulvenna, M., Bai, L., Dix, A., Leigh, S., & Hunt, S. (2022) · JMIR mHealth and uHealth

Usability and User Interface DesignMobile Health and mHealth Applications

Cited by 510

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

Wang, Q., Gao, J., Lin, W., & Li, X. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 510

Universal quantum computation using the discrete-time quantum walk

Lovett, N. B., Cooper, S., Everitt, M., Trevers, M., & Kendon, V. (2010) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 510

Divining a Digital Future: Mess and Mythology in Ubiquitous Computing

Dourish, P., & Bell, G. (2011) · The MIT Press eBooks

Innovative Human-Technology InteractionInformation Systems Theories and Implementation

Cited by 510

Oracle-guided component-based program synthesis

Jha, S., Gulwani, S., Seshia, S. A., & Tiwari, A. (2010) · Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 510

Adversarial Patch

Brown, T. B., Mané, D., Roy, A., Abadi, M., & Gilmer, J. (2017) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 509