Check computer science papers: citations, claims and retractions

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Asai, A., Hashimoto, K., Hajishirzi, H., Socher, R., & Xiong, C. (2019) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 152

Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges

Fauseweh, B. (2024) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 152

A versatile deep learning architecture for classification and label-free prediction of hyperspectral images

Manifold, B., Men, S., Hu, R., & Fu, D. (2021) · Nature Machine Intelligence

Remote-Sensing Image ClassificationSpectroscopy and Chemometric Analyses

Cited by 152

Multimodal Transformer for Multimodal Machine Translation

Yao, S., & Wan, X. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 152

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G., Rueckert, D., & Glocker, B. (2017) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 152

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

Ling, X., Ji, S., Zou, J., Wang, J., Wu, C., Li, B., & Wang, T. (2019) · 2019 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 152

Are We Wasting a Good Crisis? The Availability of Psychological Research Data after the Storm

Vanpaemel, W., Vermorgen, M., Deriemaecker, L., & Storms, G. (2015) · Collabra

Research Data Management PracticesData Analysis and Archiving

Cited by 152

Identifying New Product Ideas: Waiting for the Wisdom of the Crowd or Screening Ideas in Real Time

Hoornaert, S., Ballings, M., Malthouse, E. C., & Van den Poel, D. (2017) · Journal of Product Innovation Management

Open Source Software InnovationsMobile Crowdsensing and Crowdsourcing

Cited by 152

ATM communications network control by neural networks

Hiramatsu, A. (1990) · IEEE Transactions on Neural Networks

Neural Networks and ApplicationsNetwork Traffic and Congestion Control

Cited by 152

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Cinà, A. E., Grosse, K., Demontis, A., Vascon, S., Zellinger, W., Moser, B. A., Oprea, A., Biggio, B., Pelillo, M., & Roli, F. (2023) · ACM Computing Surveys

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 152

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond

Nasir, S., Khan, R. A., & Bai, S. (2024) · IEEE Access

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 152

Application of virtual reality technology in biology education

Shim, K.-C., Park, J.-S., Kim, H.-S., Kim, J.-H., Park, Y.-C., & Ryu, H.-I. (2003) · Journal of Biological Education

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 152

Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation

Lai, K., & Fox, D. (2010) · The International Journal of Robotics Research

Domain Adaptation and Few-Shot Learning3D Shape Modeling and Analysis

Cited by 152

Detection of Hate Speech Text in Hindi-English Code-mixed Data

Sreelakshmi, K., Premjith, B., & Soman, K. P. (2020) · Procedia Computer Science

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 152

CorefQA: Coreference Resolution as Query-based Span Prediction

Wu, W., Wang, F., Yuan, A., Wu, F., & Li, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 152

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Plötz, T. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 152

Application of fermionic marginal constraints to hybrid quantum algorithms

Rubin, N. C., Babbush, R., & McClean, J. (2018) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 152

Identifying and Correcting Label Bias in Machine Learning

Jiang, H., & Nachum, O. (2019) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 152

Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities

Liu, X., Qian, C., Hatcher, W. G., Xu, H., Liao, W., & Yu, W. (2019) · IEEE Access

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 152

Improved bound for complexity of matrix multiplication

Davie, A. M., & Stothers, A. J. (2013) · Proceedings of the Royal Society of Edinburgh: Section A Mathematics

Complexity and Algorithms in GraphsMatrix Theory and Algorithms

Cited by 152

Guest Column: A Survey of Quantum Learning Theory

Arunachalam, S., & de Wolf, R. (2017) · ACM SIGACT News

Quantum Computing Algorithms and ArchitectureMachine Learning and Algorithms

Cited by 152

Advanced Wi-Fi attacks using commodity hardware

Vanhoef, M., & Piessens, F. (2014) · Proceedings of the 30th Annual Computer Security Applications Conference

Wireless Networks and ProtocolsNetwork Security and Intrusion Detection

Cited by 152

The effect of similarities in skin texture and hand shape on perceived ownership of a fake limb

Haans, A., IJsselsteijn, W. A., & de Kort, Y. A. W. (2008) · Body Image

Virtual Reality Applications and ImpactsTactile and Sensory Interactions

Cited by 152

Optimal control of a qubit coupled to a non-Markovian environment

Rebentrost, P., Serban, I., Schulte-Herbrüggen, T., & Wilhelm, F. K. (2009) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 152