Check computer science papers: citations, claims and retractions

Predicting abnormalities in laboratory values of patients in the intensive care unit using different deep learning models: comparative study

Ayad, A., Hallawa, A., Peine, A., Martin, L., Fazlic, L. B., Dartmann, G., Marx, G., & Schmeink, A. (2022) · JMIR Medical Informatics

Machine Learning in HealthcareAnomaly Detection Techniques and Applications

Cited by 14

Using a Notification, Recommendation and Monitoring System to Improve Interaction in an Automated Assessment Tool: An Analysis of Students’ Perceptions

Marquès, J. M., Calvet, L., Arguedas, M., Daradoumis, T., & Mor, E. (2022) · International Journal of Human–Computer Interaction

Online Learning and AnalyticsTeaching and Learning Programming

Cited by 14

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA

Zhang, J., Bai, Y., Lv, X., Gu, W., Liu, D., Zou, M., Cao, S., Hou, L., Dong, Y., Feng, L., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 14

Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation

Sokolov, A., Riezler, S., & Urvoy, T. (2016) · arXiv

Natural Language Processing TechniquesAdvanced Bandit Algorithms Research

Cited by 14

Robust Spoof Speech Detection Based on Multi-Scale Feature Aggregation and Dynamic Convolution

Wu, H., Zhang, J., Zhang, Z., Zhao, W., Gu, B., & Guo, W. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 14

World Model on Million-Length Video And Language With Blockwise RingAttention

Liu, H., Yan, W., Zaharia, M., & Abbeel, P. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 14

A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers

Long, S., Li, Z., Xing, Y., Tian, S., Li, D., & Yu, R. (2020) · 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 14

RaScaNet: Learning Tiny Models by Raster-Scanning Images

Yoo, J., Lee, D., Son, C., Jung, S., Yoo, B., Choi, C., Han, J.-J., & Han, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 14

On-device personalization of automatic speech recognition models for disordered speech

Tomanek, K., Beaufays, F., Cattiau, J., Chandorkar, A., & Sim, K. C. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 14

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models

Weisz, J. D., Maher, M. L., Strobelt, H., Chilton, L. B., Bau, D., & Geyer, W. (2022) · 27th International Conference on Intelligent User Interfaces

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 14

DIVERSIFY: Ecology-inspired software evolution for diversity emergence

Baudry, B., Monperrus, M., Mony, C., Chauvel, F., Fleurey, F., & Clarke, S. (2014) · 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)

Advanced Software Engineering MethodologiesSoftware Engineering Research

Cited by 14

On the independence of association bias and empirical fairness in language models

Cabello, L., Jørgensen, A. K., & Søgaard, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

The South Asian web: an emerging community information system in the South Asian diaspora

Srinivasan, R., & Shilton, K. (2006) · Proceedings of the ninth conference on Participatory design: Expanding boundaries in design - Volume 1

Innovative Human-Technology InteractionDiaspora, migration, transnational identity

Cited by 14

NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning

Schwartz, E., Choshen, L., Shtok, J., Doveh, S., Karlinsky, L., & Arbelle, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 14

Rationale Discovery and Explainable AI

Steging, C., Renooij, S., & Verheij, B. (2021) · Frontiers in Artificial Intelligence and Applications

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Law

Cited by 14

Information security breaches and precautions on Industry 4.0

Kondiloglu, A., Bayer, H., Celik, E., & Atalay, M. (2017) · Technology audit and production reserves

Information and Cyber SecurityDigital Transformation in Industry

Cited by 14

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

He, Y., Zhang, L., Wu, W., Liu, J., Zhou, H., & Zhuang, B. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 14

Delusions by design? How everyday AIs might be fuelling psychosis (and what can be done about it)

Morrin, H., Nicholls, L., Levin, M., Yiend, J., Iyengar, U., DelGuidice, F., Bhattacharyya, S., MacCabe, J., Tognin, S., Twumasi, R., et al. (2025)

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 14

Deep Generative Models on 3D Representations: A Survey

Shi, Z., Peng, S., Xu, Y., Geiger, A., Liao, Y., & Shen, Y. (2022) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 14

Diving deeper into mentee networks

Venkatesan, R., & Li, B. (2016) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 14

HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors

Zhang, H.-K., Zhang, Y.-G., Zhou, Z., & Li, Y.-F. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 14

Rule Based Rewards for Language Model Safety

Mu, T., Helyar, A., Heidecke, J., Achiam, J., Vallone, A., Kivlichan, I., Lin, M., Beutel, A., Schulman, J., & Weng, L. (2024) · Advances in Neural Information Processing Systems 37

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 14

Self-supervised Regularization for Text Classification

Zhou, M., Li, Z., & Xie, P. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 14

BIGVSAN: Enhancing Gan-Based Neural Vocoders with Slicing Adversarial Network

Shibuya, T., Takida, Y., & Mitsufuji, Y. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisGenerative Adversarial Networks and Image Synthesis

Cited by 14