Check computer science papers: citations, claims and retractions

Learning Non-maximum Suppression

Hosang, J., Benenson, R., & Schiele, B. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 736

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Zhao, T., Zhao, R., & Eskenazi, M. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 736

Usability of mobile applications: literature review and rationale for a new usability model

Harrison, R., Flood, D., & Duce, D. (2013) · Journal of Interaction Science

Usability and User Interface DesignMobile and Web Applications

Cited by 736

Emotions and speech: some acoustical correlates.

Williams, C. E., & Stevens, K. N. (1972) · The Journal of the Acoustical Society of America

Emotion and Mood RecognitionPhonetics and Phonology Research

Cited by 735

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Raschka, S. (2018) · arXiv

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 735

Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture

Balalaie, A., Heydarnoori, A., & Jamshidi, P. (2016) · IEEE Software

Software System Performance and ReliabilitySoftware Engineering Techniques and Practices

Cited by 735

Technical Debt: From Metaphor to Theory and Practice

Kruchten, P., Nord, R. L., & Ozkaya, I. (2012) · IEEE Software

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 735

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

(2023)

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 735

A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit

Padilla, R., Passos, W. L., Dias, T. L. B., Netto, S. L., & da Silva, E. A. B. (2021) · Electronics

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 735

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Chen, Z., Wu, J., Wang, W., Su, W., Chen, G., Xing, S., Zhong, M., Zhang, Q., Zhu, X., Lu, L., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 734

Application of explainable artificial intelligence for healthcare: a systematic review of the last decade (2011-2022)

Loh, H. W., Ooi, C. P., Seoni, S., Barua, P. D., Molinari, F., & Acharya, U. R. (2022) · Computer Methods and Programs in Biomedicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 734

AI-enabled adaptive learning systems: A systematic mapping of the literature

Kabudi, T., Pappas, I., & Olsen, D. H. (2021) · Computers and Education: Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 734

Theory of Quantum Annealing of an Ising Spin Glass

Santoro, G. E., Martoňák, R., Tosatti, E., & Car, R. (2002) · Science

Quantum Computing Algorithms and ArchitectureTheoretical and Computational Physics

Cited by 734

Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications

Aledhari, M., Razzak, R., Parizi, R. M., & Saeed, F. (2020) · IEEE Access

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 733

The Loss Surfaces of Multilayer Networks

Choromanska, A., Henaff, M., Mathieu, M., Arous, G. B., & LeCun, Y. (2014) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 733

Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

Lu, Y., Huang, X., Zhang, K., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Vehicular Technology

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 733

Avoidance of Information Technology Threats: A Theoretical Perspective1

Liang, H., & Xue, Y. (2009) · MIS Quarterly

Information and Cyber SecurityTechnology Adoption and User Behaviour

Cited by 733

Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach

Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2017) · Science and Engineering Ethics

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 733

Algorithmic Accountability: Journalistic investigation of computational power structures

Diakopoulos, N. (2015) · Digital Journalism

Ethics and Social Impacts of AIJournalism and Media Studies

Cited by 733

Microreact: visualizing and sharing data for genomic epidemiology and phylogeography

Argimón, S., Abudahab, K., Goater, R. J. E., Fedosejev, A., Bhai, J., Glasner, C., Feil, E. J., Holden, M. T. G., Yeats, C. A., Grundmann, H., et al. (2016) · Microbial Genomics

Data Visualization and AnalyticsGenomics and Phylogenetic Studies

Cited by 732

Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning

Yang, T.-J., Chen, Y.-H., & Sze, V. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGreen IT and Sustainability

Cited by 732

PennyLane: Automatic differentiation of hybrid quantum-classical computations

Bergholm, V., Izaac, J., Schuld, M., Gogolin, C., Ahmed, S., Ajith, V., Alam, M. S., Alonso-Linaje, G., AkashNarayanan, B., Asadi, A., et al. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 732

Ternary Weight Networks

Li, F., Liu, B., Wang, X., Zhang, B., & Yan, J. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 732

A Note on the Inception Score

Barratt, S., & Sharma, R. (2018) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 732