Check computer science papers: citations, claims and retractions

Blind measurement of blocking artifacts in images

Wang, Z., Bovik, A. C., & Evan, B. L. (2002) · Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)

Image and Video Quality AssessmentAdvanced Data Compression Techniques

Cited by 413

Vision-based vehicle detection and counting system using deep learning in highway scenes

Song, H., Liang, H., Li, H., Dai, Z., & Yun, X. (2019) · European Transport Research Review

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 413

Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network

Badshah, A. M., Ahmad, J., Rahim, N., & Baik, S. W. (2017) · 2017 International Conference on Platform Technology and Service (PlatCon)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 413

Automated de-identification of free-text medical records

Neamatullah, I., Douglass, M. M., Lehman, L.-W. H., Reisner, A., Villarroel, M., Long, W. J., Szolovits, P., Moody, G. B., Mark, R. G., & Clifford, G. D. (2008) · BMC Medical Informatics and Decision Making

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 413

Performing optical logic operations by a diffractive neural network

Qian, C., Lin, X., Lin, X., Xu, J., Sun, Y., Li, E., Zhang, B., & Chen, H. (2020) · Light: Science & Applications

Neural Networks and Reservoir ComputingMetamaterials and Metasurfaces Applications

Cited by 413

Adaptive NMS: Refining Pedestrian Detection in a Crowd

Liu, S., Huang, D., & Wang, Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 413

The Deepfake Detection Challenge (DFDC) Preview Dataset

Dolhansky, B., Howes, R., Pflaum, B., Baram, N., & Ferrer, C. C. (2019) · arXiv

Digital Media Forensic DetectionFace recognition and analysis

Cited by 413

Transparent, explainable, and accountable AI for robotics

Wachter, S., Mittelstadt, B., & Floridi, L. (2017) · Science Robotics

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 413

Central Similarity Quantization for Efficient Image and Video Retrieval

Yuan, L., Wang, T., Zhang, X., Tay, F. E., Jie, Z., Liu, W., & Feng, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 413

MedChain: efficient healthcare data sharing via Blockchain

Shen, B., Guo, J., & Yang, Y. (2019) · Applied Sciences

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 412

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Lepikhin, D., Lee, H., Xu, Y., Chen, D., Firat, O., Huang, Y., Krikun, M., Shazeer, N., & Chen, Z. (2020) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 412

Blockchain for 5G and beyond networks: A state of the art survey

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications

Blockchain Technology Applications and SecuritySoftware-Defined Networks and 5G

Cited by 412

Federated learning for the Internet of Things: Applications, challenges, and opportunities

Zhang, T., Gao, L., He, C., Zhang, M., Krishnamachari, B., & Avestimehr, A. S. (2022) · IEEE Internet of Things Magazine

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 412

DiffIR: Efficient Diffusion Model for Image Restoration

Xia, B., Zhang, Y., Wang, S., Wang, Y., Wu, X., Tian, Y., Yang, W., & Van Gool, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 412

Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

Hershey, J. R., Roux, J. L., & Weninger, F. (2014) · arXiv

Neural Networks and ApplicationsSpeech and Audio Processing

Cited by 412

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Dodge, J., Ilharco, G., Schwartz, R., Farhadi, A., Hajishirzi, H., & Smith, N. (2020) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 412

Quantum accuracy threshold for concatenated distance-3 code

Aliferis, P., Gottesman, D., & Preskill, J. (2006) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 412

Fast, cheap, and creative: evaluating translation quality using Amazon's Mechanical Turk

Callison-Burch, C. (2009) · Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 412

Empirical Study of Data Sharing by Authors Publishing in PLoS Journals

Savage, C. J., & Vickers, A. J. (2009) · PLoS ONE

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 411

On the quantitative analysis of deep belief networks

Salakhutdinov, R., & Murray, I. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 411

User profiles and personas in the design and development of consumer health technologies

LeRouge, C., Ma, J., Sneha, S., & Tolle, K. (2013) · International Journal of Medical Informatics

Persona Design and ApplicationsTechnology Use by Older Adults

Cited by 411

Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers

Murali, P., Baker, J. M., Javadi-Abhari, A., Chong, F. T., & Martonosi, M. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 411

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Naumov, M., Mudigere, D., Shi, H.-J. M., Huang, J., Sundaraman, N., Park, J., Wang, X., Gupta, U., Wu, C.-J., Azzolini, A. G., et al. (2019) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 411

Paraphrasing Complex Network: Network Compression via Factor Transfer

Kim, J., Park, S., & Kwak, N. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 411