Check computer science papers: citations, claims and retractions

An Integrated Imbalanced Learning and Deep Neural Network Model for Insider Threat Detection

Al-Mhiqani, M. N., Ahmed, R., Zainal, Z., & Isnin, S. N. (2021) · International Journal of Advanced Computer Science and Applications

Network Security and Intrusion DetectionImbalanced Data Classification Techniques

Cited by 63

Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model

Pereira, F. D., Fonseca, S. C., Oliveira, E. H. T., Cristea, A. I., Bellhauser, H., Rodrigues, L., Oliveira, D. B. F., Isotani, S., & Carvalho, L. S. G. (2021) · IEEE Access

Online Learning and AnalyticsTeaching and Learning Programming

Cited by 63

A Bijective Image Encryption System Based on Hybrid Chaotic Map Diffusion and DNA Confusion

ElKamchouchi, D. H., Mohamed, H. G., & Moussa, K. H. (2020) · Entropy

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 63

Transformer-Based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos

Tran, T. M., Bui, D. C., Nguyen, T. V., & Nguyen, K. (2024) · IEEE Transactions on Circuits and Systems for Video Technology

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 63

Fitness uniform optimization

Hutter, M., & Legg, S. (2006) · IEEE Transactions on Evolutionary Computation

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 63

MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Islam, M. A., Ali, M. E., & Parvez, M. R. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTeaching and Learning Programming

Cited by 63

Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights Using Generative AI

Sun, Y., Li, Z., Fang, K., Lee, C. H., & Asadipour, A. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesDigital Games and Media

Cited by 63

Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments

Balse, R., Valaboju, B., Singhal, S., Warriem, J. M., & Prasad, P. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 63

Software-Defined Networking Enhanced Edge Computing: A Network-Centric Survey

Wang, A., Zha, Z., Guo, Y., & Chen, S. (2019) · Proceedings of the IEEE

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 63

Nonlinear factor recovery for long-term SLAM

Mazuran, M., Burgard, W., & Tipaldi, G. D. (2016) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 63

Designing adaptive neural networks for energy-constrained image classification

Stamoulis, D., Chin, T.-W. (., Prakash, A. K., Fang, H., Sajja, S., Bognar, M., & Marculescu, D. (2018) · Proceedings of the International Conference on Computer-Aided Design

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 63

Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension

Gilyén, A., Lloyd, S., & Tang, E. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureMatrix Theory and Algorithms

Cited by 63

Status report on the first round of the NIST lightweight cryptography standardization process

Turan, M. S., McKay, K. A., Çalık, Ç., Chang, D., & Bassham, L. (2019)

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 63

Combining effects and coeffects via grading

Gaboardi, M., Katsumata, S.-Y., Orchard, D., Breuvart, F., & Uustalu, T. (2016) · Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming

Logic, programming, and type systemsAdvanced Algebra and Logic

Cited by 63

Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model

Udriștoiu, A. L., Cazacu, I. M., Gruionu, L. G., Gruionu, G., Iacob, A. V., Burtea, D. E., Ungureanu, B. S., Costache, M. I., Constantin, A., Popescu, C. F., et al. (2021) · PLOS ONE

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 63

Large-Scale Wearable Sensor Deployment in Parkinson’s Patients: The Parkinson@Home Study Protocol

Silva de Lima, A. L., Hahn, T., de Vries, N. M., Cohen, E., Bataille, L., Little, M. A., Baldus, H., Bloem, B. R., & Faber, M. J. (2016) · JMIR Research Protocols

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 63

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance

Schwyzer, M., Martini, K., Benz, D. C., Burger, I. A., Ferraro, D. A., Kudura, K., Treyer, V., von Schulthess, G. K., Kaufmann, P. A., Huellner, M. W., et al. (2020) · European Radiology

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 63

Qwen2 Technical Report

Yang, A., Yang, B., Hui, B., Zheng, B., Yu, B., Zhou, C., Li, C., Li, C., Liu, D., Huang, F., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 63

Probing Image-Language Transformers for Verb Understanding

Hendricks, L. A., & Nematzadeh, A. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 63

SQL, NewSQL, and NOSQL Databases: A Comparative Survey

Khasawneh, T. N., AL-Sahlee, M. H., & Safia, A. A. (2020) · 2020 11th International Conference on Information and Communication Systems (ICICS)

Advanced Database Systems and QueriesCloud Computing and Resource Management

Cited by 63

Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets

Dror, R., Baumer, G., Bogomolov, M., & Reichart, R. (2017) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 63

An Image Analysis Resource for Cancer Research: PIIP—Pathology Image Informatics Platform for Visualization, Analysis, and Management

Martel, A. L., Hosseinzadeh, D., Senaras, C., Zhou, Y., Yazdanpanah, A., Shojaii, R., Patterson, E. S., Madabhushi, A., & Gurcan, M. N. (2017) · Cancer Research

AI in cancer detectionCell Image Analysis Techniques

Cited by 63

Answering conceptual queries with Ferret

de Alwis, B., & Murphy, G. C. (2008) · Proceedings of the 30th international conference on Software engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 63

A 3 $\mu$W CMOS True Random Number Generator With Adaptive Floating-Gate Offset Cancellation

Holleman, J., Bridges, S., Otis, B. P., & Diorio, C. (2008) · IEEE Journal of Solid-State Circuits

Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design

Cited by 63