Check computer science papers: citations, claims and retractions

Development of convolutional neural network and its application in image classification: a survey

Wang, W., Yang, Y., Wang, X., Wang, W., & Li, J. (2019) · Optical Engineering

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 252

IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things

Munir, A., Kansakar, P., & Khan, S. U. (2017) · IEEE Consumer Electronics Magazine

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 252

Provably Bounded-Optimal Agents

Russell, S. J., & Subramanian, D. (1995) · Journal of Artificial Intelligence Research

AI-based Problem Solving and PlanningComputability, Logic, AI Algorithms

Cited by 252

Fuzzy bag-of-words model for document representation

Zhao, R., & Mao, K. (2018) · IEEE Transactions on Fuzzy Systems

Text and Document Classification TechnologiesTopic Modeling

Cited by 252

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks

Liu, P., Xu, H., Ouyang, Q., Jiao, R., Chen, Z., Zhang, S., Yang, J., Mo, L., Zeng, J., Xue, W., et al. (2020) · 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 252

Up or Down? Adaptive Rounding for Post-Training Quantization

Nagel, M., Amjad, R. A., van Baalen, M., Louizos, C., & Blankevoort, T. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 252

Encryption-Then-Compression Systems Using Grayscale-Based Image Encryption for JPEG Images

Chuman, T., Sirichotedumrong, W., & Kiya, H. (2019) · IEEE Transactions on Information Forensics and Security

Chaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking Techniques

Cited by 252

FERA 2015 - second Facial Expression Recognition and Analysis challenge

Valstar, M. F., Almaev, T., Girard, J. M., McKeown, G., Mehu, M., Yin, L., Pantic, M., & Cohn, J. F. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 252

Image Quality Assessment Based on Multiscale Geometric Analysis

Gao, X., Lu, W., Tao, D., & Li, X. (2009) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 252

Network In Network

Lin, M., Chen, Q., & Yan, S. (2013) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 252

Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?

de Laat, P. B. (2018) · Philosophy & Technology

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 251

Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information

Lyu, X., Ni, W., Tian, H., Liu, R. P., Wang, X., Giannakis, G. B., & Paulraj, A. (2017) · IEEE Journal on Selected Areas in Communications

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 251

The Stable Signature: Rooting Watermarks in Latent Diffusion Models

Fernandez, P., Couairon, G., Jégou, H., Douze, M., & Furon, T. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 251

Using VADER sentiment and SVM for predicting customer response sentiment

Borg, A., & Boldt, M. (2020) · Expert Systems with Applications

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 251

Illusory generalizability of clinical prediction models

Chekroud, A. M., Hawrilenko, M., Loho, H., Bondar, J., Gueorguieva, R., Hasan, A., Kambeitz, J., Corlett, P. R., Koutsouleris, N., Krumholz, H. M., et al. (2024) · Science

Machine Learning in HealthcareSchizophrenia research and treatment

Cited by 251

A UAV system for inspection of industrial facilities

Nikolic, J., Burri, M., Rehder, J., Leutenegger, S., Huerzeler, C., & Siegwart, R. (2013) · 2013 IEEE Aerospace Conference

Robotics and Sensor-Based LocalizationAerospace Engineering and Control Systems

Cited by 251

Echoes from the past: how technology mediated reflection improves well-being

Isaacs, E., Konrad, A., Walendowski, A., Lennig, T., Hollis, V., & Whittaker, S. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMental Health via Writing

Cited by 251

Using GPUs for machine learning algorithms

Steinkraus, D., Buck, I., & Simard, P. Y. (2005) · Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Parallel Computing and Optimization TechniquesNeural Networks and Applications

Cited by 251

ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Rukhovich, D., Vorontsova, A., & Konushin, A. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 251

Pedestrian Detection Based on YOLO Network Model

Lan, W., Dang, J., Wang, Y., & Wang, S. (2018) · 2018 IEEE International Conference on Mechatronics and Automation (ICMA)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 251

Testing machine learning based systems: a systematic mapping

Riccio, V., Jahangirova, G., Stocco, A., Humbatova, N., Weiss, M., & Tonella, P. (2020) · Empirical Software Engineering

Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning

Cited by 251

A Survey on Large Language Models for Code Generation

Jiang, J., Wang, F., Shen, J., Kim, S., & Kim, S. (2026) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 251

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

Amann, J., Vetter, D., Blomberg, S. N., Christensen, H. C., Coffee, M., Gerke, S., Gilbert, T. K., Hagendorff, T., Holm, S., Livne, M., et al. (2022) · PLOS Digital Health

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

Cited by 251

Information-Theoretic Probing with Minimum Description Length

Voita, E., & Titov, I. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 251