Check computer science papers: citations, claims and retractions

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

Afifi, M., Brubaker, M. A., & Brown, M. S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisImage Enhancement Techniques

Cited by 156

Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems

Kunkel, J., Donkers, T., Michael, L., Barbu, C.-M., & Ziegler, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 156

Enabling Conversational Interaction with Mobile UI using Large Language Models

Wang, B., Li, G., & Li, Y. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsUsability and User Interface Design

Cited by 156

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Peng, B., Galley, M., He, P., Cheng, H., Xie, Y., Hu, Y., Huang, Q., Liden, L., Yu, Z., Chen, W., et al. (2023) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 156

Image Encryption Using Josephus Problem and Filtering Diffusion

Hua, Z., Xu, B., Jin, F., & Huang, H. (2019) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 156

Driving Simulator Sickness: An Evidence-Based Review of the Literature

Classen, S., Bewernitz, M., & Shechtman, O. (2011) · American Journal of Occupational Therapy

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 156

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Fernández-Caramés, T. M., & Fraga-Lamas, P. (2019) · Applied Sciences

IoT and Edge/Fog ComputingEngineering Education and Technology

Cited by 156

Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support

Madaio, M., Egede, L., Subramonyam, H., Wortman Vaughan, J., & Wallach, H. (2022) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 156

Does Machine Learning Automate Moral Hazard and Error?

Mullainathan, S., & Obermeyer, Z. (2017) · American Economic Review

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 156

Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks

Yang, T., Hu, Y., Gursoy, M. C., Schmeink, A., & Mathar, R. (2018) · 2018 15th International Symposium on Wireless Communication Systems (ISWCS)

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 156

Preventing repeated real world AI failures by cataloging incidents: the AI incident database

McGregor, S. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 156

Multimodal Prompting with Missing Modalities for Visual Recognition

Lee, Y.-L., Tsai, Y.-H., Chiu, W.-C., & Lee, C.-Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 156

Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models

Jhamtani, H., Gangal, V., Hovy, E., & Nyberg, E. (2017) · Proceedings of the Workshop on Stylistic Variation

Natural Language Processing TechniquesTopic Modeling

Cited by 156

The Voice Conversion Challenge 2016

Toda, T., Chen, L.-H., Saito, D., Villavicencio, F., Wester, M., Wu, Z., & Yamagishi, J. (2016) · Interspeech 2016

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 156

Three-Qubit Randomized Benchmarking

McKay, D. C., Sheldon, S., Smolin, J. A., Chow, J. M., & Gambetta, J. M. (2019) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 156

Experiencing programming assignments in CS1: the emotional toll

Kinnunen, P., & Simon, B. (2010) · Proceedings of the Sixth international workshop on Computing education research

Teaching and Learning ProgrammingReflective Practices in Education

Cited by 156

Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection

Tao, R., Pan, Z., Das, R. K., Qian, X., Shou, M. Z., & Li, H. (2021) · arXiv

Speech and Audio ProcessingMultimodal Machine Learning Applications

Cited by 156

Universal quantum computation and simulation using any entangling Hamiltonian and local unitaries

Dodd, J. L., Nielsen, M. A., Bremner, M. J., & Thew, R. T. (2002) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 156

Edge Video Analytics for Public Safety: A Review

Zhang, Q., Sun, H., Wu, X., & Zhong, H. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods

Cited by 156

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Entezari, R., Sedghi, H., Saukh, O., & Neyshabur, B. (2021) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 156

Threats by artificial intelligence to human health and human existence

Federspiel, F., Mitchell, R., Asokan, A., Umana, C., & McCoy, D. (2023) · BMJ Global Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 156

LLMs cannot find reasoning errors, but can correct them given the error location

Tyen, G., Mansoor, H., Carbune, V., Chen, P., & Mak, T. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 156

Tablet‐based AR technology: Impacts on students’ conceptions and approaches to learning mathematics according to their self‐efficacy

Cai, S., Liu, E., Yang, Y., & Liang, J. (2019) · British Journal of Educational Technology

Augmented Reality ApplicationsMathematics Education and Teaching Techniques

Cited by 156

Human Activity Recognition Based on Residual Network and BiLSTM

Li, Y., & Wang, L. (2022) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 156