Check computer science papers: citations, claims and retractions

Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection

Li, J., Xie, H., Li, J., Wang, Z., & Zhang, Y. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 357

Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks

Schmidhuber, J. (1992) · Neural Computation

Neural Networks and ApplicationsNeural Networks and Reservoir Computing

Cited by 357

Ai for social good: unlocking the opportunity for positive impact

Tomašev, N., Cornebise, J., Hutter, F., Mohamed, S., Picciariello, A., Connelly, B., Belgrave, D. C. M., Ezer, D., Haert, F. C. V. D., Mugisha, F., et al. (2020) · Nature Communications

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 357

An approximate analysis of the LRU and FIFO buffer replacement schemes

Dan, A., & Towsley, D. (1990) · Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems - SIGMETRICS '90

Advanced Database Systems and QueriesCaching and Content Delivery

Cited by 357

Conditional random fields for activity recognition

Vail, D. L., Veloso, M. M., & Lafferty, J. D. (2007) · Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems

Context-Aware Activity Recognition SystemsBayesian Modeling and Causal Inference

Cited by 357

A Completely Blind Video Integrity Oracle

Mittal, A., Saad, M. A., & Bovik, A. C. (2016) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 357

Realtime performance-based facial animation

Weise, T., Bouaziz, S., Li, H., & Pauly, M. (2011) · ACM Transactions on Graphics

Face recognition and analysisHuman Motion and Animation

Cited by 356

An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security

Iqbal, W., Abbas, H., Daneshmand, M., Rauf, B., & Bangash, Y. A. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 356

Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks

Soltanolkotabi, M., Javanmard, A., & Lee, J. D. (2019) · IEEE Transactions on Information Theory

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 356

CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92)

Yamagishi, J., Veaux, C., & MacDonald, K. (2019) · University of Edinburgh. The Centre for Speech Technology Research (CSTR)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 356

The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence

Smuha, N. A. (2019) · Computer Law Review International

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 356

WinoGrande: an adversarial winograd schema challenge at scale

Sakaguchi, K., Bras, R. L., Bhagavatula, C., & Choi, Y. (2021) · Communications of the ACM

Topic ModelingNatural Language Processing Techniques

Cited by 356

Some Improvements on Deep Convolutional Neural Network Based Image Classification

Howard, A. G. (2013) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 356

IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model

Sarker, I. H., Abushark, Y. B., Alsolami, F., & Khan, A. I. (2020) · Symmetry

Network Security and Intrusion DetectionArtificial Immune Systems Applications

Cited by 356

Disentangling User Interest and Conformity for Recommendation with Causal Embedding

Zheng, Y., Gao, C., Li, X., He, X., Li, Y., & Jin, D. (2021) · Proceedings of the Web Conference 2021

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 356

Mobility-Aware Edge Caching and Computing in Vehicle Networks: A Deep Reinforcement Learning

Tan, L. T., & Hu, R. Q. (2018) · IEEE Transactions on Vehicular Technology

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 356

How Do Vision Transformers Work?

Park, N., & Kim, S. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 356

EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction

Cai, H., Li, J., Hu, M., Gan, C., & Han, S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 356

More than a Feeling: Accuracy and Application of Sentiment Analysis

Hartmann, J., Heitmann, M., Siebert, C., & Schamp, C. (2023) · International Journal of Research in Marketing

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 356

Mental health monitoring with multimodal sensing and machine learning: A survey

Garcia-Ceja, E., Riegler, M., Nordgreen, T., Jakobsen, P., Oedegaard, K. J., & Tørresen, J. (2018) · Pervasive and Mobile Computing

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 356

RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images

Chen, C.-S., Hung, Y.-P., & Cheng, J.-B. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence

3D Shape Modeling and AnalysisRobotics and Sensor-Based Localization

Cited by 356

Survey on Multi-Access Edge Computing Security and Privacy

Ranaweera, P., Jurcut, A. D., & Liyanage, M. (2021) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingCybersecurity and Information Systems

Cited by 356

Parallel visual computation

Ballard, D. H., Hinton, G. E., & Sejnowski, T. J. (1983) · Nature

Computer Graphics and Visualization TechniquesAdvanced Vision and Imaging

Cited by 356

Adaptive eigenvalue decomposition algorithm for passive acoustic source localization

Benesty, J. (2000) · The Journal of the Acoustical Society of America

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 356