Check computer science papers: citations, claims and retractions

Addressing hard classical problems with Adiabatically Assisted Variational Quantum Eigensolvers

Garcia-Saez, A., & Latorre, J. I. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 28

Unsupervised classification of remotely sensed images using Gaussian mixture models and particle swarm optimization

Ari, C., & Aksoy, S. (2010) · 2010 IEEE International Geoscience and Remote Sensing Symposium

Remote-Sensing Image ClassificationMetaheuristic Optimization Algorithms Research

Cited by 28

Designing Software Architecture to Support Continuous Delivery and DevOps: A Systematic Literature Review

Bolscher, R., & Daneva, M. (2019) · Proceedings of the 14th International Conference on Software Technologies

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 28

Graph-Based Spectro-Temporal Dependency Modeling for Anti-Spoofing

Chen, F., Deng, S., Zheng, T., He, Y., & Han, J. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 28

Smart carpet: developing a sensor system to detect falls and summon assistance

Aud, M. A., Abbott, C. C., Tyrer, H. W., Neelgund, R. V., Shriniwar, U. G., Mohammed, A., & Devarakonda, K. K. (2010) · Journal of Gerontological Nursing

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

Cited by 28

Large Language Diffusion Models

Nie, S., Zhu, F., You, Z., Zhang, X., Ou, J., Hu, J., Zhou, J., Lin, Y., Wen, J.-R., & Li, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 28

Evolving maps for match balancing in first person shooters

Lanzi, P. L., Loiacono, D., & Stucchi, R. (2014) · 2014 IEEE Conference on Computational Intelligence and Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 28

An observability-constrained sliding window filter for SLAM

Huang, G. P., Mourikis, A. I., & Roumeliotis, S. I. (2011) · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

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

Cited by 28

Detecting architecturally-relevant code smells in evolving software systems

Bertran, I. M. (2011) · Proceedings of the 33rd International Conference on Software Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 28

A survey of the QR code phishing: the current attacks and countermeasures

Yong, K. S. C., Chiew, K. L., & Tan, C. L. (2019) · 2019 7th International Conference on Smart Computing & Communications (ICSCC)

Spam and Phishing DetectionQR Code Applications and Technologies

Cited by 28

Virtual Reality for Addressing Depression and Anxiety: A Bibliometric Analysis

Jingili, N., Oyelere, S. S., Ojwang, F., Agbo, F. J., & Nyström, M. B. T. (2023) · International Journal of Environmental Research and Public Health

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 28

Segmentation of subcortical structures and the hippocampus in brain MRI using graph-cuts and subject-specific a-priori information

Wolz, R., Aljabar, P., Rueckert, D., Heckemann, R. A., & Hammers, A. (2009) · 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 28

A Perceptually Scalable and JPEG Compression Tolerant Image Encryption Scheme

Ahmed, F., Siyal, M. Y., & Abbas, V. U. (2010) · 2010 Fourth Pacific-Rim Symposium on Image and Video Technology

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 28

An Item-Item Collaborative Filtering Recommender System Using Trust and Genre to Address the Cold-Start Problem

Hasan, M., & Roy, F. (2019) · Big Data and Cognitive Computing

Recommender Systems and TechniquesInformation Retrieval and Data Mining

Cited by 28

Artificial neural network-based virtual machine allocation in cloud computing

Shalu, & Singh, D. (2021) · Journal of Discrete Mathematical Sciences and Cryptography

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 28

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces

Zhao, B., Fang, J., Dai, Z., Wang, Z., Zha, J., Zhang, W., Gao, C., Wang, Y., Cui, J., Chen, X., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 28

Long-time simulations with high fidelity on quantum hardware

Gibbs, J., Gili, K., Holmes, Z., Commeau, B., Arrasmith, A., Cincio, L., Coles, P. J., & Sornborger, A. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 28

OFF LINE RECOGNITION OF HANDWRITTEN POSTAL WORDS USING NEURAL NETWORKS

BURGES, C. J. C., BEN, J. I., DENKER, J. S., LECUN, Y., & NOHL, C. R. (1993) · International Journal of Pattern Recognition and Artificial Intelligence

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 28

Optical Character Recognition Technique using Intro Sort

Khan, Y., Kumar, K., & Dhanda, N. (2015) · International Journal of Computer Applications

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 28

A Methodology for Evaluating Security in Commercial RFID Systems

Fernández-Caramés, T. M., Fraga-Lamas, P., Suárez-Albela, M., & Castedo, L. (2017) · Radio Frequency Identification

RFID technology advancementsCryptographic Implementations and Security

Cited by 28

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

Kallus, N., Mao, X., & Zhou, A. (2019) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 28

A Methodology for Creating AI FactSheets

Richards, J., Piorkowski, D., Hind, M., Houde, S., & Mojsilović, A. (2020) · arXiv

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

Cited by 28

Secure Distributed On-Device Learning Networks with Byzantine Adversaries

Dong, Y., Cheng, J., Hossain, M. J., & Leung, V. C. M. (2019) · IEEE Network

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 28

The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models

Birhane, A., Dehdashtian, S., Prabhu, V., & Boddeti, V. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 28