Check computer science papers: citations, claims and retractions

Segmentation and Boundary Detection of Fetal Kidney Images in Second and Third Trimesters Using Kernel-Based Fuzzy Clustering

Meenakshi, S., Suganthi, M., & Sureshkumar, P. (2019) · Journal of Medical Systems

Medical Image Segmentation TechniquesAdvanced Clustering Algorithms Research

Cited by 15

Compactor: Calibrated Query-Agnostic KV Cache Compression with Approximate Leverage Scores

Chari, V., & Van Durme, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Characterizing Delusional Spirals through Human-LLM Chat Logs

Moore, J., Mehta, A., Agnew, W., Anthis, J. R., Louie, R., Mai, Y., Yin, P., Cheng, M., Paech, S. J., Klyman, K., et al. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigital Mental Health Interventions

Cited by 15

The evidence of impact and ethical considerations of Multimodal Learning Analytics: A Systematic Literature Review

Alwahaby, H., Cukurova, M., Papamitsiou, Z., & Giannakos, M. (2021)

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 15

Creating usable e-commerce sites.

Rohn, J. A. (1998) · StandardView

Usability and User Interface DesignWeb Applications and Data Management

Cited by 15

Red-Teaming LLM Multi-Agent Systems via Communication Attacks

He, P., Lin, Y., Dong, S., Xu, H., Xing, Y., & Liu, H. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 15

Is GPT-3 a Good Data Annotator?

Ding, B., Qin, C., Liu, L., Chia, Y. K., Joty, S., Li, B., & Bing, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Automatic generation of listing ads by reusing promotional texts

Fujita, A., Ikushima, K., Sato, S., Kamite, R., Ishiyama, K., & Tamachi, O. (2010) · Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 15

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging

Capellán-Martín, D., Jiang, Z., Parida, A., Liu, X., Lam, V., Nisar, H., Tapp, A., Elsharkawi, S., Ledesma-Carbayo, M. J., Anwar, S. M., et al. (2024) · Lecture Notes in Computer Science

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 15

A Label Efficient Semi Self-Supervised Learning Framework for IoT Devices in Industrial Process

Bharti, V., Kumar, A., Purohit, V., Singh, R., Singh, A. K., & Singh, S. K. (2024) · IEEE Transactions on Industrial Informatics

Domain Adaptation and Few-Shot LearningPrivacy-Preserving Technologies in Data

Cited by 15

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning

Liu, X.-Y., Li, Z., Yang, Z., Zheng, J., Wang, Z., Walid, A., Guo, J., & Jordan, M. I. (2021) · arXiv

Reinforcement Learning in RoboticsCloud Computing and Resource Management

Cited by 15

A data-value-driven adaptation framework for energy efficiency for data intensive applications in clouds

Ho, T. T. N., & Pernici, B. (2015) · 2015 IEEE Conference on Technologies for Sustainability (SusTech)

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 15

Robust Predictable Control

Eysenbach, B., Salakhutdinov, R., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 15

Digital-analog quantum simulation of fermionic models

Céleri, L. C., Huerga, D., Albarrán-Arriagada, F., Solano, E., de Andoin, M. G., & Sanz, M. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 15

Privacy Preserving Time-Series Forecasting of User Health Data Streams

Imtiaz, S., Horchidan, S.-F., Abbas, Z., Arsalan, M., Chaudhry, H. N., & Vlassov, V. (2020) · 2020 IEEE International Conference on Big Data (Big Data)

Privacy-Preserving Technologies in DataData Stream Mining Techniques

Cited by 15

To govern or be governed: an integrated framework for AI governance in the public sector

Choi, H., & Park, M. J. (2023) · Science and Public Policy

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 15

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations

Sun, H., Verga, P., Dhingra, B., Salakhutdinov, R., & Cohen, W. W. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Tunable image quality control of 3-D ultrasound using switchable CycleGAN

Huh, J., Khan, S., Choi, S., Shin, D., Lee, J. E., Lee, E. S., & Ye, J. C. (2023) · Medical Image Analysis

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 14

Generalization to New Actions in Reinforcement Learning

Jain, A., Szot, A., & Lim, J. J. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 14

Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry

Kremenetski, V., Hogg, T., Hadfield, S., Cotton, S. J., & Tubman, N. M. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 14

Minimum Trotterization Formulas for a Time-Dependent Hamiltonian

Ikeda, T. N., Abrar, A., Chuang, I. L., & Sugiura, S. (2023) · Quantum

Quantum Computing Algorithms and ArchitectureNumerical Solvers for Ordinary Differential Equations

Cited by 14

Efficient Gesture-Based Recognition of Tifinagh Characters in Air Handwriting with a TinyDL Model

Lamaakal, I., El Mourabit, N., El Makkaoui, K., Ouahbi, I., & Maleh, Y. (2024) · 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS)

Hand Gesture Recognition SystemsHandwritten Text Recognition Techniques

Cited by 14

Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition

Haresamudram, H., Essa, I., & Plötz, T. (2024) · Sensors

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 14

Benchmarking Causal Study to Interpret Large Language Models for Source Code

Rodriguez-Cardenas, D., Palacio, D. N., Khati, D., Burke, H., & Poshyvanyk, D. (2023) · 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 14