Check computer science papers: citations, claims and retractions

History of generative Artificial Intelligence (AI) chatbots: past, present, and future development

Al-Amin, M., Ali, M. S., Salam, A., Khan, A., Ali, A., Ullah, A., Alam, M. N., & Chowdhury, S. K. (2024) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 39

Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Narayan, S., Cohen, S. B., & Lapata, M. (2018) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 39

Continual Learning for Fake Audio Detection

Ma, H., Yi, J., Tao, J., Bai, Y., Tian, Z., & Wang, C. (2021) · Interspeech 2021

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 39

Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis

Wu, T., Weld, D. S., & Heer, J. (2019) · ACM Transactions on Computer-Human Interaction

Machine Learning and AlgorithmsExplainable Artificial Intelligence (XAI)

Cited by 39

Statistical mechanical models and topological color codes

Bombin, H., & Martin-Delgado, M. A. (2008) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 39

Person Re-Identification without Identification via Event Anonymization

Ahmad, S., Morerio, P., & Del Bue, A. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsPrivacy-Preserving Technologies in Data

Cited by 39

The Useful Quantum Computing Techniques for Artificial Intelligence Engineers

Choi, J., Oh, S., & Kim, J. (2020) · 2020 International Conference on Information Networking (ICOIN)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 39

Eyetracking in cognitive state detection for HCI

Rudmann, D. S., McConkie, G. W., & Zheng, X. S. (2003) · Proceedings of the 5th international conference on Multimodal interfaces

Gaze Tracking and Assistive TechnologyVisual and Cognitive Learning Processes

Cited by 39

ECRT: An Edge Computing System for Real-Time Image-based Object Tracking

Zhao, Z., Jiang, Z., Ling, N., Shuai, X., & Xing, G. (2018) · Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods

Cited by 39

Enhancing Cybersecurity: The Development of a Flexible Deep Learning Model for Enhanced Anomaly Detection

Gonaygunta, H., Nadella, G. S., Pramod Pawar, P., & Kumar, D. (2024) · 2024 Systems and Information Engineering Design Symposium (SIEDS)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 39

Persuasion not required Improving our understanding of the sociotechnical context of dietary behavioural change

Maitland, J., Chalmers, M., & Siek, K. A. (2009) · Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Innovative Human-Technology InteractionNutrition, Health and Food Behavior

Cited by 39

Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting

Wang, Z., Li, H.-X., & Chen, C. (2020) · IEEE Transactions on Neural Networks and Learning Systems

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 39

Edge ai and blockchain for privacy-critical and data-sensitive applications

Nawaz, A., Gia, T. N., Queralta, J. P., & Westerlund, T. (2019) · 2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 39

Temporally scalable visual SLAM using a reduced pose graph

Johannsson, H., Kaess, M., Fallon, M., & Leonard, J. J. (2013) · 2013 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 39

Expert responsibility in AI development

Hedlund, M., & Persson, E. (2024) · AI & SOCIETY

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 39

Sentiment analysis of texts on public health emergencies based on social media data mining

Hu, N. (2022) · Computational and Mathematical Methods in Medicine

Sentiment Analysis and Opinion MiningCommunication and COVID-19 Impact

Cited by 39

Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

Dumeur, I., Valero, S., & Inglada, J. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 39

Breaking away from labels: The promise of self-supervised machine learning in intelligent health

Spathis, D., Perez-Pozuelo, I., Marques-Fernandez, L., & Mascolo, C. (2022) · Patterns

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

Cited by 39

Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders

Uzunova, H., Ehrhardt, J., Kepp, T., & Handels, H. (2019) · Medical Imaging 2019: Image Processing

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

Cited by 39

Learning analytics driven improvements in learning design in higher education: A systematic literature review

Drugova, E., Zhuravleva, I., Zakharova, U., & Latipov, A. (2024) · Journal of Computer Assisted Learning

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 39

CrowdHB: A Decentralized Location Privacy-Preserving Crowdsensing System Based on a Hybrid Blockchain Network

Zou, S., Xi, J., Xu, G., Zhang, M., & Lu, Y. (2022) · IEEE Internet of Things Journal

Mobile Crowdsensing and CrowdsourcingBlockchain Technology Applications and Security

Cited by 39

On the natural gradient for variational quantum eigensolver

Yamamoto, N. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 39

Rethinking the Value of Transformer Components

Wang, W., & Tu, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 39

Stress and Perception of Emotional Stimuli: Long-Term Stress Rewiring the Brain

Khosrowabadi, R., & Institute for Cognitive and Brain Sciences, S. B. U. (2018) · Basic and Clinical Neuroscience Journal

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 39