Check computer science papers: citations, claims and retractions

Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation

Huang, W., Gu, Y., Wang, Z., Zhu, H., & Qian, Y. (2025) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 16

Defeating Nondeterminism in LLM Inference

Lab, T. M., He, H., & Lab, T. M. (2025)

Natural Language Processing TechniquesTopic Modeling

Cited by 16

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit

Tao, Z., Li, S., Wang, Z., Fang, C., Yang, L., Zhao, H., & Fu, Y. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 16

An Echo State Network based pedestrian counting system using wireless sensor networks

Mathews, E., & Poigne, A. (2008) · 2008 International Workshop on Intelligent Solutions in Embedded Systems

Neural Networks and Reservoir ComputingIndoor and Outdoor Localization Technologies

Cited by 16

Quick Response Code Validation and Phishing Detection Tool

Ismail, S., Alkawaz, M. H., & Kumar, A. E. (2021) · 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)

Spam and Phishing DetectionQR Code Applications and Technologies

Cited by 16

AutoBiomes: procedural generation of multi-biome landscapes

Fischer, R., Dittmann, P., Weller, R., & Zachmann, G. (2020) · The Visual Computer

Computer Graphics and Visualization TechniquesArtificial Intelligence in Games

Cited by 16

Fundamental rights and artificial intelligence impact assessment: A new quantitative methodology in the upcoming era of AI Act

Bertaina, S., Biganzoli, I., Desiante, R., Fontanella, D., Inverardi, N., Penco, I. G., & Cosentini, A. C. (2025) · Computer Law & Security Review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 16

PFP-LHCINCA: Pyramidal Fixed-Size Patch-Based Feature Extraction and Chi-Square Iterative Neighborhood Component Analysis for Automated Fetal Sex Classification on Ultrasound Images

Kaplan, E., Ekinci, T., Kaplan, S., Barua, P. D., Dogan, S., Tuncer, T., Tan, R.-S., Arunkumar, N., & Acharya, U. R. (2022) · Contrast Media & Molecular Imaging

Image Retrieval and Classification TechniquesArtificial Intelligence in Healthcare

Cited by 16

A Look at Unsociability on Facebook

Lopez, M. G., & Ovaska, S. (2013) · Electronic Workshops in Computing

Innovative Human-Technology InteractionPrivacy, Security, and Data Protection

Cited by 16

From Expanded Cinema to Extended Reality: How AI Can Expand and Extend Cinematic Experiences

Song, J., Wang, B., Wang, Z., & Yip, D. K.-M. (2023) · Proceedings of the 16th International Symposium on Visual Information Communication and Interaction

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 16

Deep learning approach to detection of colonoscopic information from unstructured reports

Seong, D., Choi, Y. H., Shin, S.-Y., & Yi, B.-K. (2023) · BMC Medical Informatics and Decision Making

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 16

On Incorporating Affective Support to an Intelligent Tutoring System: an Empirical Study

Cunha-Perez, C., Arevalillo-Herraez, M., Marco-Gimenez, L., & Arnau, D. (2018) · IEEE Revista Iberoamericana de Tecnologias del Aprendizaje

Intelligent Tutoring Systems and Adaptive LearningEmotion and Mood Recognition

Cited by 16

Heterogeneous Data-Driven Failure Diagnosis for Microservice-Based Industrial Clouds Toward Consumer Digital Ecosystems

Xu, Y., Qiu, Z., Gao, H., Zhao, X., Wang, L., & Li, R. (2024) · IEEE Transactions on Consumer Electronics

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 16

How do large language models acquire factual knowledge during pretraining?

Chang, H., Park, J., Ye, S., Yang, S., Seo, Y., Chang, D.-S., & Seo, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 16

Generating IoT Edge Network Datasets based on the TON_IoT Telemetry Dataset

Zachos, G., Essop, I., Mantas, G., Porfyrakis, K., Ribeiro, J. C., & Rodriguez, J. (2021) · 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 16

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching

Zheng, Z., Ji, X., Fang, T., Zhou, F., Liu, C., & Peng, G. (2024) · arXiv

Natural Language Processing TechniquesParallel Computing and Optimization Techniques

Cited by 16

Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Wang, K., Duan, F., Wang, S., Li, P., Xian, Y., Yin, C., Rong, W., & Xiong, Z. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 16

Automatic Attendance Management System based on Deep One-Shot Learning

Menezes, A. G., Sa, J. M. D. D. C., Llapa, E., & Estombelo-Montesco, C. A. (2020) · 2020 International Conference on Systems, Signals and Image Processing (IWSSIP)

Face recognition and analysisFace and Expression Recognition

Cited by 16

Ranking information extracted from uncertainty quantification of the prediction of a deep learning model on medical time series data

Stoean, R., Stoean, C., Atencia, M., Rodríguez-Labrada, R., & Joya, G. (2020) · Mathematics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 16

A Review of Cognitive Apprenticeship Methods in Computing Education Research

Shah, A., & Soosai Raj, A. G. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 16

The statistical advantage of automatic NLG metrics at the system level

Wei, J., & Jia, R. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 16

An exploratory study understanding the appropriated use of voice-based Search and Assistants

Bhalla, A. (2018) · Proceedings of the 9th Indian Conference on Human-Computer Interaction

Usability and User Interface DesignAI in Service Interactions

Cited by 16

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Verga, P., Hofstatter, S., Althammer, S., Su, Y., Piktus, A., Arkhangorodsky, A., Xu, M., White, N., & Lewis, P. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

A Closer Look At The Eu-Funded My Health My Data Project

Panetta, R., & Cristofaro, L. (2017) · Zenodo

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 16