Check computer science papers: citations, claims and retractions

Aggregation/Disaggregation Methods for Computing the Stationary Distribution of a Markov Chain

Haviv, M. (1987) · SIAM Journal on Numerical Analysis

Matrix Theory and AlgorithmsMarkov Chains and Monte Carlo Methods

Cited by 64

Movement science needs different pose tracking algorithms

Seethapathi, N., Wang, S., Saluja, R., Blohm, G., & Kording, K. P. (2019) · arXiv

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 64

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

Marchant, N. G., Rubinstein, B. I. P., & Alfeld, S. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 64

Benchmarking highly entangled states on a 60-atom analogue quantum simulator

Shaw, A. L., Chen, Z., Choi, J., Mark, D. K., Scholl, P., Finkelstein, R., Elben, A., Choi, S., & Endres, M. (2024) · Nature

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 64

Intrinsic Shape Matching by Planned Landmark Sampling

Tevs, A., Berner, A., Wand, M., Ihrke, I., & Seidel, H. ‐. (2011) · Computer Graphics Forum

3D Shape Modeling and AnalysisComputational Geometry and Mesh Generation

Cited by 64

Two-component Dirac-like Hamiltonian for generating quantum walk on one-, two- and three-dimensional lattices

Chandrashekar, C. M. (2013) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 64

Manual and Automatic Transcriptions in Dementia Detection from Speech

Weiner, J., Engelbart, M., & Schultz, T. (2017) · Interspeech 2017

Speech Recognition and SynthesisDementia and Cognitive Impairment Research

Cited by 64

Android Root and its Providers: A Double-Edged Sword

Zhang, H., She, D., & Qian, Z. (2015) · Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Advanced Malware Detection TechniquesSecurity and Verification in Computing

Cited by 64

Paired MEG data set source localization using recursively applied and projected (RAP) MUSIC

Ermer, J. J., Mosher, J. C., Huang, M., & Leahy, R. M. (2000) · IEEE Transactions on Biomedical Engineering

Direction-of-Arrival Estimation TechniquesEEG and Brain-Computer Interfaces

Cited by 64

Neural Architecture Search Benchmarks: Insights and Survey

Chitty-Venkata, K. T., Emani, M., Vishwanath, V., & Somani, A. K. (2023) · IEEE Access

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 64

The Black Box, Unlocked: Predictability and Understandability in Military AI

United Nations Institute for Disarmament Research, & Holland Michel, A. (2020)

Ethics and Social Impacts of AIMilitary Strategy and Technology

Cited by 64

The performance of digital microscopy for primary diagnosis in human pathology: a systematic review

Araújo, A. L. D., Arboleda, L. P. A., Palmier, N. R., Fonsêca, J. M., de Pauli Paglioni, M., Gomes-Silva, W., Ribeiro, A. C. P., Brandão, T. B., Simonato, L. E., Speight, P. M., et al. (2019) · Virchows Archiv

AI in cancer detectionClinical Laboratory Practices and Quality Control

Cited by 64

Robust Text-to-SQL Generation with Execution-Guided Decoding

Wang, C., Tatwawadi, K., Brockschmidt, M., Huang, P.-S., Mao, Y., Polozov, O., & Singh, R. (2018) · arXiv

Advanced Database Systems and QueriesNatural Language Processing Techniques

Cited by 64

Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group

Master, S. R., Badrick, T. C., Bietenbeck, A., & Haymond, S. (2023) · Clinical Chemistry

Machine Learning in HealthcareClinical Laboratory Practices and Quality Control

Cited by 64

A taxonomic approach to understanding emerging blockchain identity management systems

Lesavre, L. (2020)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 64

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications

Schetinin, V., Fieldsend, J. E., Partridge, D., Coats, T. J., Krzanowski, W. J., Everson, R. M., Bailey, T. C., & Hernandez, A. (2007) · IEEE Transactions on Information Technology in Biomedicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 64

Leakage detection for a transmon-based surface code

Varbanov, B. M., Battistel, F., Tarasinski, B. M., Ostroukh, V. P., O’Brien, T. E., DiCarlo, L., & Terhal, B. M. (2020) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 63

Vision Transformer Pruning

Zhu, M., Tang, Y., & Han, K. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 63

What Do CS1 Syllabi Reveal About Our Expectations of Introductory Programming Students?

Becker, B. A., & Fitzpatrick, T. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingInformation Systems Education and Curriculum Development

Cited by 63

Augmented Reality Cubes for Cognitive Gaming: Preliminary Usability and Game Experience Testing

Boletsis, C., & McCallum, S. (2016) · International Journal of Serious Games

Augmented Reality ApplicationsEducational Games and Gamification

Cited by 63

GeoF: Geodesic Forests for Learning Coupled Predictors

Kontschieder, P., Kohli, P., Shotton, J., & Criminisi, A. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 63

Network Slicing-Based Learning Techniques for IoV in 5G and Beyond Networks

Hamdi, W., Ksouri, C., Bulut, H., & Mosbah, M. (2024) · IEEE Communications Surveys & Tutorials

Software-Defined Networks and 5GVehicular Ad Hoc Networks (VANETs)

Cited by 63

Aspect-based Sentiment Analysis of Scientific Reviews

Chakraborty, S., Goyal, P., & Mukherjee, A. (2020) · Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020

Sentiment Analysis and Opinion Miningscientometrics and bibliometrics research

Cited by 63

The Student Expectations of Learning Analytics Questionnaire

Whitelock‐Wainwright, A., Gašević, D., Tejeiro, R., Tsai, Y., & Bennett, K. (2019) · Journal of Computer Assisted Learning

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 63