Check computer science papers: citations, claims and retractions

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Zhang, X., Quan, Y., Shen, C., Yuan, X., Yan, S., Xie, L., Wang, W., Gu, C., Tang, H., & Ye, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 26

Breast MRI and X-ray mammography registration using gradient values

García, E., Diez, Y., Diaz, O., Lladó, X., Gubern-Mérida, A., Martí, R., Martí, J., & Oliver, A. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesDigital Radiography and Breast Imaging

Cited by 26

Technological folie à deux: Feedback Loops Between AI Chatbots and Mental Illness

Dohnány, S., Kurth-Nelson, Z., Spens, E., Luettgau, L., Reid, A., Gabriel, I., Summerfield, C., Shanahan, M., & Nour, M. M. (2025) · arXiv

Ethics and Social Impacts of AIDigital Mental Health Interventions

Cited by 26

B 2 SFL: A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction

Guo, H., Meese, C., Li, W., Shen, C.-C., & Nejad, M. (2023) · IEEE Transactions on Services Computing

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 26

Comparative assessment of two algorithms for calibrating stereophotogrammetric systems

Gazzani, F. (1993) · Journal of Biomechanics

Optical measurement and interference techniquesAdvanced Vision and Imaging

Cited by 26

How to leverage the multimodal EHR data for better medical prediction?

Yang, B., & Wu, L. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 26

An affordable platform for virtual reality-based patient education in radiation therapy

Schulz, J. B., Dubrowski, P., Blomain, E., Million, L., Qian, Y., Marquez, C., & Yu, A. S. (2023) · Practical Radiation Oncology

Virtual Reality Applications and ImpactsSimulation-Based Education in Healthcare

Cited by 26

Experimental performance analysis of cloud resource allocation framework using spider monkey optimization algorithm

Kumar, M., Dubey, K., Singh, S., Kumar Samriya, J., & Gill, S. S. (2023) · Concurrency and Computation: Practice and Experience

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 26

AI’s Epistemic Harm: Reinforcement Learning, Collective Bias, and the New AI Culture War

Humphreys, D. (2025) · Philosophy & Technology

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 26

A secure revocable fine-grained access control and data sharing scheme for SCADA in IIoT systems

Zhang, W., Zhang, H., Fang, L., Liu, Z., & Ge, C. (2022) · IEEE Internet of Things Journal

Cryptography and Data SecuritySmart Grid Security and Resilience

Cited by 26

Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination

Tambouratzis, G. (2004) · Literary and Linguistic Computing

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 26

A unit selection text-to-speech synthesis system optimized for use with screen readers

Chalamandaris, A., Karabetsos, S., Tsiakoulis, P., & Raptis, S. (2010) · IEEE Transactions on Consumer Electronics

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 26

Unmet Creativity Support Needs in Computationally Supported Creative Writing

Kreminski, M., & Martens, C. (2022) · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)

Artificial Intelligence in GamesNarrative Theory and Analysis

Cited by 26

DeepImageSpam: Deep Learning based Image Spam Detection

Kumar, A. D., R, V., & KP, S. (2018) · arXiv

Spam and Phishing DetectionDigital Media Forensic Detection

Cited by 26

A lightweight anomaly detection framework for medical wireless sensor networks

Salem, O., Liu, Y., & Mehaoua, A. (2013) · 2013 IEEE Wireless Communications and Networking Conference (WCNC)

Anomaly Detection Techniques and ApplicationsWireless Sensor Networks for Data Analysis

Cited by 26

Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators

Yi, S., Goel, R., Khatri, C., Cervone, A., Chung, T., Hedayatnia, B., Venkatesh, A., Gabriel, R., & Hakkani-Tur, D. (2019) · Proceedings of the 12th International Conference on Natural Language Generation

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 26

A deep‐learning‐ and reinforcement‐learning‐based system for encrypted network malicious traffic detection

Yang, J., Liang, G., Li, B., Wen, G., & Gao, T. (2021) · Electronics Letters

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 26

Reinforcement Learning for Optimizing RAG for Domain Chatbots

Kulkarni, M., Tangarajan, P., Kim, K., & Trivedi, A. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 26

The Relevance of Classic Fuzz Testing: Have We Solved This One?

Miller, B. P., Zhang, M., & Heymann, E. R. (2022) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Reliability and Analysis Research

Cited by 26

Deep Active Learning for Computer Vision: Past and Future

Takezoe, R., Liu, X., Mao, S., Chen, M. T., Feng, Z., Zhang, S., & Wang, X. (2023) · APSIPA Transactions on Signal and Information Processing

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 26

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

Yang, W., Bi, X., Lin, Y., Chen, S., Zhou, J., & Sun, X. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 26

HeMiRCA: fine-grained root cause analysis for microservices with heterogeneous data sources

Zhu, Z., Lee, C., Tang, X., & He, P. (2024) · ACM Transactions on Software Engineering and Methodology

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 26

Code translation with compiler representations

Szafraniec, M., Roziere, B., Leather, H., Charton, F., Labatut, P., & Synnaeve, G. (2022) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 26

Revisiting Model Stitching to Compare Neural Representations

Bansal, Y., Nakkiran, P., & Barak, B. (2021) · arXiv

Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques

Cited by 26