Check computer science papers: citations, claims and retractions

A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes

Li, C., Wang, X., Eberl, S., Fulham, M., Yin, Y., Chen, J., & Feng, D. D. (2013) · IEEE Transactions on Biomedical Engineering

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 139

Text mining approach to predict hospital admissions using early medical records from the emergency department

Lucini, F. R., Fogliatto, F. S., da Silveira, G. J. C., Neyeloff, J. L., Anzanello, M. J., Kuchenbecker, R. S., & Schaan, B. D. (2017) · International Journal of Medical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 139

A review of possible effects of cognitive biases on interpretation of rule-based machine learning models

Kliegr, T., Bahník, Š., & Fürnkranz, J. (2021) · Artificial Intelligence

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

Cited by 139

Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable

Thompson, N. C., Greenewald, K., Lee, K., & Manso, G. F. (2021) · IEEE Spectrum

Neural Networks and ApplicationsArtificial Intelligence Applications

Cited by 139

Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy

Alsamhi, S. H., Almalki, F. A., Afghah, F., Hawbani, A., Shvetsov, A. V., Lee, B., & Song, H. (2022) · IEEE Transactions on Green Communications and Networking

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 139

Learned Token Pruning for Transformers

Kim, S., Shen, S., Thorsley, D., Gholami, A., Kwon, W., Hassoun, J., & Keutzer, K. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Advanced Neural Network ApplicationsTopic Modeling

Cited by 139

Computing Algebraic Formulas Using a Constant Number of Registers

Ben-Or, M., & Cleve, R. (1992) · SIAM Journal on Computing

Complexity and Algorithms in GraphsPolynomial and algebraic computation

Cited by 139

Precision education with statistical learning and deep learning: a case study in Taiwan.

Tsai, S.-C., Chen, C.-H., Shiao, Y.-T., Ciou, J.-S., & Wu, T.-N. (2020) · International Journal of Educational Technology in Higher Education

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 139

Adaptive relative bundle adjustment

Sibley, G., Mei, C., Reid, I., & Newman, P. (2009) · Robotics: Science and Systems V

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 139

Fast Deep Vehicle Detection in Aerial Images

Sommer, L. W., Schuchert, T., & Beyerer, J. (2017) · 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 139

A Systematic Review of Drone Based Road Traffic Monitoring System

Bisio, I., Garibotto, C., Haleem, H., Lavagetto, F., & Sciarrone, A. (2022) · IEEE Access

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 139

A Closer Look on the User Centred Design

Chammas, A., Quaresma, M., & Mont’Alvão, C. (2015) · Procedia Manufacturing

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 139

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Li, Z., Zhu, H., Lu, Z., & Yin, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingComputational and Text Analysis Methods

Cited by 139

Methodology for replacing indirect measurements with direct measurements

Mitarai, K., & Fujii, K. (2019) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 139

Practical ethics for building learning analytics

Kitto, K., & Knight, S. (2019) · British Journal of Educational Technology

Online Learning and AnalyticsEthics and Social Impacts of AI

Cited by 139

Constrained Language Models Yield Few-Shot Semantic Parsers

Shin, R., Lin, C., Thomson, S., Chen, C., Roy, S., Platanios, E. A., Pauls, A., Klein, D., Eisner, J., & Van Durme, B. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 139

A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA

Nakahara, H., Yonekawa, H., Fujii, T., & Sato, S. (2018) · Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 139

OpenEI: An Open Framework for Edge Intelligence

Zhang, X., Wang, Y., Lu, S., Liu, L., Xu, L., & Shi, W. (2019) · arXiv

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 139

Physiognomic Artificial Intelligence

Stark, L., & Hutson, J. (2021) · SSRN Electronic Journal

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 139

Communication-efficient distributed learning: An overview

Cao, X., Başar, T., Diggavi, S., Eldar, Y. C., Letaief, K. B., Poor, H. V., & Zhang, J. (2023) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 139

Visual Menu Techniques

Bailly, G., Lecolinet, E., & Nigay, L. (2017) · ACM Computing Surveys

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 139

Do Massively Pretrained Language Models Make Better Storytellers?

See, A., Pappu, A., Saxena, R., Yerukola, A., & Manning, C. D. (2019) · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)

Topic ModelingNatural Language Processing Techniques

Cited by 139

From The Matrix to a Model of Coordinated Action (MoCA): A Conceptual Framework of and for CSCW

Lee, C. P., & Paine, D. (2015) · Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing

Usability and User Interface DesignTeam Dynamics and Performance

Cited by 139

Maturing research data services and the transformation of academic libraries

Cox, A. M., Kennan, M. A., Lyon, L., Pinfield, S., & Sbaffi, L. (2019) · Journal of Documentation

Research Data Management PracticesLibrary Science and Information

Cited by 139