Check computer science papers: citations, claims and retractions

Word Semantic Similarity for Morphologically Rich Languages

Zervanou, K., Iosif, E., & Potamianos, A. (2014) · Proceedings of the Language Resources and Evaluation Conference

Natural Language Processing TechniquesTopic Modeling

Cited by 10

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Qiu, Z., Huang, Z., Zheng, B., Wen, K., Wang, Z., Men, R., Titov, I., Liu, D., Zhou, J., & Lin, J. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 10

Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach

Pal, D., Triyason, T., Varadarajan, V., & Zhang, X. (2019) · 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 10

Exploring Neurophysiological Responses to Cross-Cultural Deepfake Videos

Khan, M. R., Naeem, S., Tariq, U., Dhall, A., Khan, M. N. A., Al Shargie, F., & Al-Nashash, H. (2023) · International Cconference on Multimodal Interaction

Digital Media Forensic DetectionDeception detection and forensic psychology

Cited by 10

ADAS and Video Surveillance Analytics System Using Deep Learning Algorithms on FPGA

Shan, Y. (2018) · 2018 28th International Conference on Field Programmable Logic and Applications (FPL)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 10

Periodicity, Elliott waves, and fractals in the NFT market

Christopher Westland, J. (2024) · Scientific Reports

Blockchain Technology Applications and SecurityFinancial Markets and Investment Strategies

Cited by 10

Learning Interpretable Style Embeddings via Prompting LLMs

Patel, A., Rao, D., Kothary, A., McKeown, K., & Callison-Burch, C. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 10

Mining a multimodal corpus of doctor's training for virtual patient's feedbacks,

Porhet, C., Ochs, M., Saubesty, J., de Montcheuil, G., & Bertrand, R. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 10

Development of an Artificial Intelligence Teaching Assistant System for Undergraduate Nursing Students: A Field Testing Study

Kowitlawakul, Y., Tan, J. J. M., Suebnukarn, S., Nguyen, H. D., Poo, D. C. C., Chai, J., Kamala, D. M., & Wang, W. (2024) · CIN: Computers, Informatics, Nursing

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 10

Segmentation Certainty Through Uncertainty: Uncertainty-Refined Binary Volumetric Segmentation Under Multifactor Domain Shift

Martinez, C., Potter, K. M., Smith, M. D., Donahue, E. A., Collins, L., Korbin, J. P., & Roberts, S. A. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 10

Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations

Ashktorab, Z., Desmond, M., Pan, Q., Johnson, J., Brachman, M., Dugan, C., Danilevsky, M., & Geyer, W. (2025) · Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work

Ethics and Social Impacts of AITopic Modeling

Cited by 10

Knowledge Fusion of Large Language Models

Wan, F., Huang, X., Cai, D., Quan, X., Bi, W., & Shi, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning

Naidu, R., Diddee, H., Mulay, A., Vardhan, A., Ramesh, K., & Zamzam, A. (2021) · arXiv

Privacy-Preserving Technologies in DataGreen IT and Sustainability

Cited by 10

A Critical Evaluation of Failure in a Nearshore Outsourcing Project: What Dilemma Analysis Can Tell Us

Clear, T., Raza, B., & MacDonell, S. G. (2013) · 2013 IEEE 8th International Conference on Global Software Engineering

Software Engineering Techniques and PracticesOutsourcing and Supply Chain Management

Cited by 10

Analysis of natural speech under stress.

Demenko, G., & Jastrzębska, M. (2012) · Acta Physica Polonica A

Emotion and Mood RecognitionPhonetics and Phonology Research

Cited by 10

Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents

Wang, J. X., King, M., Porcel, N., Kurth-Nelson, Z., Zhu, T., Deck, C., Choy, P., Cassin, M., Reynolds, M., Song, F., et al. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 10

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

Sinha, A., Song, J., Meng, C., & Ermon, S. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 10

Security and Independence of Process Safety and Control Systems in the Petroleum Industry

Onshus, T., Bodsberg, L., Hauge, S., Jaatun, M. G., Lundteigen, M. A., Myklebust, T., Ottermo, M. V., Petersen, S., & Wille, E. (2022) · Journal of Cybersecurity and Privacy

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 10

On the Carbon Footprint Optimization in an InterCloud Environment

Justafort, V. D., Beaubrun, R., & Pierre, S. (2018) · IEEE Transactions on Cloud Computing

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 10

Gated Linear Attention Transformers with Hardware-Efficient Training

Yang, S., Wang, B., Shen, Y., Panda, R., & Kim, Y. (2023) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 10

The Value of Disagreement in AI Design, Evaluation, and Alignment

Fazelpour, S., & Fleisher, W. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 10

The manliness of artificial intelligence

Jackson, L. (2025) · Educational Philosophy and Theory

Ethics and Social Impacts of AIDigital Education and Society

Cited by 10

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

Maciejewski, F. B., Biamonte, J., Hadfield, S., & Venturelli, D. (2025) · Quantum

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 10

Clinical trial data sharing: a cross-sectional study of outcomes associated with two U.S. National Institutes of Health models

Rowhani-Farid, A., Grewal, M., Solar, S., Eghrari, A. O., Zhang, A. D., Gross, C. P., Krumholz, H. M., & Ross, J. S. (2023) · Scientific Data

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 10