Check computer science papers: citations, claims and retractions

A study of deep learning methods for de-identification of clinical notes in cross-institute settings

Yang, X., Lyu, T., Li, Q., Lee, C.-Y., Bian, J., Hogan, W. R., & Wu, Y. (2019) · BMC Medical Informatics and Decision Making

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 73

Correlation-Informed Permutation of Qubits for Reducing Ansatz Depth in the Variational Quantum Eigensolver

Tkachenko, N. V., Sud, J., Zhang, Y., Tretiak, S., Anisimov, P. M., Arrasmith, A. T., Coles, P. J., Cincio, L., & Dub, P. A. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 73

Learning to Generate Scene Graph from Natural Language Supervision

Zhong, Y., Shi, J., Yang, J., Xu, C., & Li, Y. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 73

ADAM: An adaptive DDoS attack mitigation scheme in software-defined cyber-physical system

Cai, T., Jia, T., Adepu, S., Li, Y., & Yang, Z. (2023) · IEEE Transactions on Industrial Informatics

Network Security and Intrusion DetectionSoftware-Defined Networks and 5G

Cited by 73

Dual-Domain Image Encryption in Unsecure Medium—A Secure Communication Perspective

Mahalingam, H., Veeramalai, T., Menon, A. R., S., S., & Amirtharajan, R. (2023) · Mathematics

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 73

Surfpad: riding towards targets on a squeeze film effect

Casiez, G., Roussel, N., Vanbelleghem, R., & Giraud, F. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysTactile and Sensory Interactions

Cited by 73

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views

Wang, G., Zuluaga, M. A., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A. L., Deprest, J., Vercauteren, T., & Ourselin, S. (2016) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 73

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Liang, W., Izzo, Z., Zhang, Y., Lepp, H., Cao, H., Zhao, X., Chen, L., Ye, H., Liu, S., Huang, Z., et al. (2024) · arXiv

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 73

Generators for Certain Alternating Groups with Applications to Cryptography

Coppersmith, D., & Grossman, E. (1975) · SIAM Journal on Applied Mathematics

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 73

Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding

Demirkol, A. S., Sahin, M. E., Karakaya, B., Ulutas, H., Ascoli, A., & Tetzlaff, R. (2024) · Chaos, Solitons & Fractals

Chaos-based Image/Signal EncryptionChaos control and synchronization

Cited by 73

Prospects of quantum computing for molecular sciences

Liu, H., Low, G. H., Steiger, D. S., Häner, T., Reiher, M., & Troyer, M. (2022) · Materials Theory

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 73

Application of Fuzzy Cognitive Mapping in Livelihood Vulnerability Analysis

Murungweni, C., van Wijk, M. T., Andersson, J. A., Smaling, E. M. A., & Giller, K. E. (2011) · Ecology and Society

Cognitive Science and MappingClimate change impacts on agriculture

Cited by 73

Summarizing Medical Conversations via Identifying Important Utterances

Song, Y., Tian, Y., Wang, N., & Xia, F. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Advanced Text Analysis TechniquesTopic Modeling

Cited by 73

A bottom up approach towards the acquisition and expression of sequential representations applied to a behaving real-world device: Distributed Adaptive Control III

Verschure, P. F. M. J., & Voegtlin, T. (1998) · Neural Networks

Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience

Cited by 73

Random forest explainability using counterfactual sets

Fernández, R. R., Martín de Diego, I., Aceña, V., Fernández-Isabel, A., & Moguerza, J. M. (2020) · Information Fusion

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 73

Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers

Zhao, L., Goings, J., Shin, K., Kyoung, W., Fuks, J. I., Kevin Rhee, J.-K., Rhee, Y. M., Wright, K., Nguyen, J., Kim, J., et al. (2023) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 73

Explainable machine learning for public policy: Use cases, gaps, and research directions

Amarasinghe, K., Rodolfa, K. T., Lamba, H., & Ghani, R. (2023) · Data & Policy

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

Cited by 73

Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge

George, A., Ravindran, A., Mendieta, M., & Tabkhi, H. (2021) · IEEE Access

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 73

Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches

Karthiga, B., Durairaj, D., Nawaz, N., Venkatasamy, T. K., Ramasamy, G., & Hariharasudan, A. (2022) · Wireless Communications and Mobile Computing

Network Security and Intrusion DetectionVehicular Ad Hoc Networks (VANETs)

Cited by 73

AutoPandas: neural-backed generators for program synthesis

Bavishi, R., Lemieux, C., Fox, R., Sen, K., & Stoica, I. (2019) · Proceedings of the ACM on Programming Languages

Evolutionary Algorithms and ApplicationsTeaching and Learning Programming

Cited by 73

Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model.

Röösli, E., Bozkurt, S., & Hernandez-Boussard, T. (2022) · Scientific Data

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 73

Fast versions of Shor's quantum factoring algorithm

Zalka, C. (1998) · arXiv

Quantum Computing Algorithms and ArchitectureCryptography and Residue Arithmetic

Cited by 73

Faithful Multimodal Explanation for Visual Question Answering

Wu, J., & Mooney, R. (2019) · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 73

Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks

Veselovsky, V., Ribeiro, M. H., & West, R. (2023) · arXiv

Mobile Crowdsensing and CrowdsourcingEthics and Social Impacts of AI

Cited by 73