Check computer science papers: citations, claims and retractions

Physiology-Based Face Recognition in the Thermal Infrared Spectrum

Buddharaju, P., Pavlidis, I. T., Tsiamyrtzis, P., & Bazakos, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisBiometric Identification and Security

Cited by 236

Implementing Grover oracles for quantum key search on AES and LowMC

Jaques, S., Naehrig, M., Roetteler, M., & Virdia, F. (2019) · arXiv

Cryptographic Implementations and SecurityQuantum Computing Algorithms and Architecture

Cited by 236

Developments in research data management in academic libraries: Towards an understanding of research data service maturity

Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017) · Journal of the Association for Information Science and Technology

Research Data Management PracticesLibrary Science and Information

Cited by 236

Algorithmic risk governance: Big data analytics, race and information activism in criminal justice debates

Hannah-Moffat, K. (2019) · Theoretical Criminology

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 236

Iterative Visual Reasoning Beyond Convolutions

Chen, X., Li, L.-J., Fei-Fei, L., & Gupta, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 236

Towards an intelligent framework for multimodal affective data analysis

Poria, S., Cambria, E., Hussain, A., & Huang, G.-B. (2015) · Neural Networks

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 236

Serverless Edge Computing: Vision and Challenges

Aslanpour, M. S., Toosi, A. N., Cicconetti, C., Javadi, B., Sbarski, P., Taibi, D., Assuncao, M., Gill, S. S., Gaire, R., & Dustdar, S. (2021) · 2021 Australasian Computer Science Week Multiconference

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 236

3D Human Action Representation Learning via Cross-View Consistency Pursuit

Li, L., Wang, M., Ni, B., Wang, H., Yang, J., & Zhang, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 236

Intermediated technology use in developing communities

Sambasivan, N., Cutrell, E., Toyama, K., & Nardi, B. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesInnovative Human-Technology Interaction

Cited by 236

Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables

Bhattacharya, S., & Lane, N. D. (2016) · Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems CD-ROM

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 236

A review of the F-measure: its history, properties, criticism, and alternatives

Christen, P., Hand, D. J., & Kirielle, N. (2024) · ACM Computing Surveys

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 236

Body space in social interactions: A comparison of reaching and comfort distance in immersive virtual reality

Iachini, T., Coello, Y., Frassinetti, F., & Ruggiero, G. (2014) · PLoS ONE

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 236

LSQ+: Improving low-bit quantization through learnable offsets and better initialization

Bhalgat, Y., Lee, J., Nagel, M., Blankevoort, T., & Kwak, N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 236

A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems

Arachchige, P. C. M., Bertok, P., Khalil, I., Liu, D., Camtepe, S., & Atiquzzaman, M. (2020) · IEEE Transactions on Industrial Informatics

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 236

Hopfield Networks is All You Need

Ramsauer, H., Schäfl, B., Lehner, J., Seidl, P., Widrich, M., Adler, T., Gruber, L., Holzleitner, M., Pavlović, M., Sandve, G. K., et al. (2020) · arXiv

Neural Networks and ApplicationsNeural Networks and Reservoir Computing

Cited by 236

Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs

Li, D., Chen, X., Becchi, M., & Zong, Z. (2016) · 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 236

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Li, L., Bao, J., Yang, H., Chen, D., & Wen, F. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 236

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones

Sano, A., Phillips, A. J., Yu, A. Z., McHill, A. W., Taylor, S., Jaques, N., Czeisler, C. A., Klerman, E. B., & Picard, R. W. (2015) · 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Context-Aware Activity Recognition SystemsOnline Learning and Analytics

Cited by 236

Is chatGPT a good nlg evaluator? A preliminary study

Wang, J., Liang, Y., Meng, F., Sun, Z., Shi, H., Li, Z., Xu, J., Qu, J., & Zhou, J. (2023) · Proceedings of the 4th New Frontiers in Summarization Workshop

Natural Language Processing TechniquesTopic Modeling

Cited by 235

Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing

Sexton, R. S., Dorsey, R. E., & Johnson, J. D. (1999) · European Journal of Operational Research

Metaheuristic Optimization Algorithms ResearchNeural Networks and Applications

Cited by 235

Studying Very Low Resolution Recognition Using Deep Networks

Wang, Z., Chang, S., Yang, Y., Liu, D., & Huang, T. S. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image Processing Techniques

Cited by 235

Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis

Mathôt, S., & Vilotijević, A. (2022) · Behavior Research Methods

Gaze Tracking and Assistive TechnologyNeural and Behavioral Psychology Studies

Cited by 235

Attributing Authorship: An Introduction

Love, H. (2002) · Cambridge University Press eBooks

Authorship Attribution and ProfilingDigital Humanities and Scholarship

Cited by 235

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

Si, Y., Du, J., Li, Z., Jiang, X., Miller, T., Wang, F., Jim Zheng, W., & Roberts, K. (2021) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 235