Check computer science papers: citations, claims and retractions

On the Outsized Importance of Learning Rates in Local Update Methods

Charles, Z., & Konečný, J. (2020) · arXiv

Stochastic Gradient Optimization TechniquesPrivacy-Preserving Technologies in Data

Cited by 32

SPEED: A Deep Learning Assisted Privacy-Preserved Framework for Intelligent Transportation Systems

Usman, M., Jan, M. A., & Jolfaei, A. (2021) · IEEE Transactions on Intelligent Transportation Systems

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 32

An algorithm for the T-count

Gosset, D., Kliuchnikov, V., Mosca, M., & Russo, V. (2013) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 32

A recommender system for predicting students' admission to a graduate program using machine learning algorithms

El Guabassi, I., Bousalem, Z., Marah, R., & Qazdar, A. (2021) · International Journal of Online and Biomedical Engineering (iJOE)

Online Learning and AnalyticsData Mining and Machine Learning Applications

Cited by 32

Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint

Paul, A. J., Mohan, P., & Sehgal, S. (2020) · 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS)

Hand Gesture Recognition SystemsAdvanced Neural Network Applications

Cited by 32

Prefigurative Politics and Passionate Witnessing

Williams, R. M., & Boyd, L. E. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 32

Comparative Evaluation of VVC, HEVC, H.264, AV1, and VP9 Encoders for Low-Delay Video Applications

Mansri, I., Doghmane, N., Kouadria, N., Harize, S., & Bekhouch, A. (2020) · 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)

Video Coding and Compression TechnologiesAdvanced Data Compression Techniques

Cited by 32

Hybrid quantum annealing via molecular dynamics

Irie, H., Liang, H., Doi, T., Gongyo, S., & Hatsuda, T. (2021) · Scientific Reports

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 32

Automatic fetal body and amniotic fluid segmentation from fetal ultrasound images by encoder-decoder network with inner layers

Li, Y., Xu, R., Ohya, J., & Iwata, H. (2017) · 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 32

A Hybrid Database Approach Using Graph and Relational Database

Vyawahare, H. R., Karde, P. P., & Thakare, V. M. (2018) · 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE)

Advanced Database Systems and QueriesGraph Theory and Algorithms

Cited by 32

Improving Extreme Low-Bit Quantization With Soft Threshold

Xu, W., Li, F., Jiang, Y., Yong, A., He, X., Wang, P., & Cheng, J. (2023) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 32

FineSurE: Fine-grained Summarization Evaluation using LLMs

Song, H., Su, H., Shalyminov, I., Cai, J., & Mansour, S. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 32

Nordic lights? National AI policies for doing well by doing good

Dexe, J., & Franke, U. (2020) · Journal of Cyber Policy

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 32

Exploring the Perspectives of Teachers of the Visually Impaired Regarding Accessible K12 Computing Education

Huff, E. W., Boateng, K., Moster, M., Rodeghero, P., & Brinkley, J. (2021) · Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingDigital Accessibility for Disabilities

Cited by 32

What Matters for Adversarial Imitation Learning?

Orsini, M., Raichuk, A., Hussenot, L., Vincent, D., Dadashi, R., Girgin, S., Geist, M., Bachem, O., Pietquin, O., & Andrychowicz, M. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 32

Benefits and barriers in the design of harmonized access agreements for international data sharing

Saulnier, K. M., Bujold, D., Dyke, S. O. M., Dupras, C., Beck, S., Bourque, G., & Joly, Y. (2019) · Scientific Data

Research Data Management PracticesEthics in Clinical Research

Cited by 32

SEMI-automated liver CT segmentation using Laplacian meshes

Chartrand, G., Cresson, T., Chav, R., Gotra, A., Tang, A., & DeGuise, J. (2014) · 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 32

Large Language Model-Aware In-Context Learning for Code Generation

Li, J., Li, G., Tao, C., Li, J., Zhang, H., Liu, F., & Jin, Z. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 32

SecRec: A Privacy-Preserving Method for the Context-Aware Recommendation System

Chen, J., Liu, L., Chen, R., Peng, W., & Huang, X. (2022) · IEEE Transactions on Dependable and Secure Computing

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 32

Correlates of programmer efficacy and their link to experience: a combined EEG and eye-tracking study

Peitek, N., Bergum, A., Rekrut, M., Mucke, J., Nadig, M., Parnin, C., Siegmund, J., & Apel, S. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 32

A review on real time object tracking in video sequences

Kothiya, S. V., & Mistree, K. B. (2015) · 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 32

EU Trade Secrets Law and Algorithmic Transparency

Maggiolino, M. (2019) · SSRN Electronic Journal

Law, AI, and Intellectual PropertyDigitalization, Law, and Regulation

Cited by 32

Making as a Pathway to Engineering and Design

Martin, L., & Dixon, C. (2016) · Makeology

Teaching and Learning ProgrammingEngineering Education and Pedagogy

Cited by 32

Estimating Knowledge in Large Language Models Without Generating a Single Token

Gottesman, D., & Geva, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 32