Check computer science papers: citations, claims and retractions

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing

Namin, S. T., Najafi, M., Salzmann, M., & Petersson, L. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 9

Leveraging artificial intelligence and data science for integration of social determinants of health in emergency medicine: scoping review

Abbott, E. E., Apakama, D., Richardson, L. D., Chan, L., & Nadkarni, G. N. (2024) · JMIR Medical Informatics

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 9

FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks

Wang, T., Cheng, H., Liu, M.-H., & Kankanhalli, M. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 9

Game‐theoretic computing in risk analysis

Sahinoglu, M., Cueva‐Parra, L., & Ang, D. (2012) · WIREs Computational Statistics

Information and Cyber SecurityGame Theory and Applications

Cited by 9

Design and Implementation of a Risk Management Tool: A Case Study of the Moodle Platform

Chafiq, N., Talbi, M., & Ghazouani, M. (2018) · International Journal of Advanced Computer Science and Applications

Information and Cyber SecurityEducational Technology and E-Learning

Cited by 9

Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery

Torrents-Barrena, J., Piella, G., Masoller, N., Gratacos, E., Eixarch, E., Ceresa, M., & Ballester, M. A. G. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 9

A path to generative artificial selves

Gabora, L., & Bach, J. (2023) · Lecture Notes in Computer Science

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 9

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Wang, Z., Wang, Z., Le, L., Zheng, H. S., Mishra, S., Perot, V., Zhang, Y., Mattapalli, A., Taly, A., Shang, J., et al. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 9

Quantum Turbo Decoding for Quantum Channels Exhibiting Memory

Mohd Izhar, M. A., Babar, Z., Nguyen, H. V., Botsinis, P., Alanis, D., Chandra, D., Ng, S. X., & Hanzo, L. (2018) · IEEE Access

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 9

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Zhang, Z., Wang, Y., Huang, X., Fang, T., Zhang, H., Deng, C., Li, S., & Yu, D. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 9

Evaluation of Large Language Model Performance on the Biomedical Language Understanding and Reasoning Benchmark: Comparative Study

Feng, H., Ronzano, F., LaFleur, J., Garber, M., de Oliveira, R., Rough, K., Roth, K., Nanavati, J., El Abidine, K. Z., & Mack, C. (2024) · medRxiv

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 9

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Tsai, C. F., Zhou, X., Liu, S. S., Li, J., Yu, M., & Mei, H. (2023) · arXiv

Artificial Intelligence in GamesSpeech and dialogue systems

Cited by 9

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles

Atmaca, U. I., Biswas, S., Maple, C., & Palamidessi, C. (2024) · IEEE Open Journal of Vehicular Technology

Privacy-Preserving Technologies in DataElectric Vehicles and Infrastructure

Cited by 9

What Evidence Do Language Models Find Convincing?

Wan, A., Wallace, E., & Klein, D. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 9

CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agents

Wan, R., Gebreegziabher, S. A., Li, T. J.-J., & Badillo-Urquiola, K. (2024) · Creativity and Cognition

Natural Language Processing TechniquesDesign Education and Practice

Cited by 9

Human activity recognition via smart-belt in wireless body area networks

Zhu, Y., Yu, J., Hu, F., Li, Z., & Ling, Z. (2019) · International Journal of Distributed Sensor Networks

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 9

Smart Cup to Monitor Stroke Patients Activities During Everyday Life

Bobin, M., Amroun, H., Boukalle, M., Anastassova, M., & Ammi, M. (2018) · 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 9

Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale

Sachdeva, N., Hartnett, G. S., Maity, S., Marsh, S., Wang, Y., Winick, A., Dougherty, R., Canuto, D., Chong, Y. Q., Cox, G. A., et al. (2026) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 9

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?

Sinha, N., Jain, V., & Chadha, A. (2025) · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)

Topic ModelingNatural Language Processing Techniques

Cited by 9

Can crowdsourcing platforms be useful for educational research?

Wang, K. D., Chen, Z., & Wieman, C. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference

Mobile Crowdsensing and CrowdsourcingOnline Learning and Analytics

Cited by 9

Sowiport User Search Sessions Data Set (SUSS)

Mayr, P. (2016) · GESIS Data Archive

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 9

Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease

White, N., Johnson, H., Silburn, P., & Mengersen, K. (2012) · Journal of Applied Statistics

Bayesian Methods and Mixture ModelsAdvanced Clustering Algorithms Research

Cited by 9

Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R. D., Daw, N. D., Cohen, J. D., Narasimhan, K., & Griffiths, T. L. (2022) · arXiv

Natural Language Processing TechniquesMachine Learning and Algorithms

Cited by 9

Promoting Insight: A Case Study of How to Incorporate Interaction in Existing Data Visualizations

Alexandre, I. (2016) · 2016 20th International Conference Information Visualisation (IV)

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 9