Check computer science papers: citations, claims and retractions

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records

Yang, K., Li, X., Liu, H., Mei, J., Xie, G., Zhao, J., Xie, B., & Wang, F. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning in HealthcareTensor decomposition and applications

Cited by 30

Kandinsky Patterns

Müller, H., & Holzinger, A. (2021) · Artificial Intelligence

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 30

Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments

Chmiel, F. P., Burns, D. K., Azor, M., Borca, F., Boniface, M. J., Zlatev, Z. D., White, N. M., Daniels, T. W. V., & Kiuber, M. (2020) · Scientific Reports

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 30

Building Continuous Integration Services for Machine Learning

Karlaš, B., Interlandi, M., Renggli, C., Wu, W., Zhang, C., Mukunthu Iyappan Babu, D., Edwards, J., Lauren, C., Xu, A., & Weimer, M. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 30

Mapping the Landscape of Generative Artificial Intelligence in Learning Analytics: A Systematic Literature Review

Misiejuk, K., López-Pernas, S., Kaliisa, R., & Saqr, M. (2025) · Journal of Learning Analytics

Online Learning and AnalyticsArtificial Intelligence in Education

Cited by 30

AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Chronopoulou, A., Peters, M., Fraser, A., & Dodge, J. (2023) · Findings of the Association for Computational Linguistics: EACL 2023

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 30

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care

El-Bouri, R., Eyre, D. W., Watkinson, P., Zhu, T., & Clifton, D. A. (2021) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 30

Real-time learning analytics in educational games

Minović, M., & Milovanović, M. (2013) · Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality

Online Learning and AnalyticsEducational Games and Gamification

Cited by 30

AI Writing Assistants Influence Topic Choice in Self-Presentation

Poddar, R., Sinha, R., Naaman, M., & Jakesch, M. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 30

The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot

Song, F., Agarwal, A., & Wen, W. (2024) · arXiv

Open Source Software InnovationsSoftware Engineering Research

Cited by 30

Ethical concerns while using artificial intelligence in recruitment of employees

Gupta, A., & Mishra, M. (2022) · Business Ethics and Leadership

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 30

Multimodal large language models for inclusive collaboration learning tasks

Lewis, A. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 30

Unlocking creator-AI synergy: Challenges, requirements, and design opportunities in AI-powered short-form video production

Kim, J., & Kim, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Digital Media and Visual ArtTechnology's Impact on Media

Cited by 30

A Survey of Explainable Reinforcement Learning

Milani, S., Topin, N., Veloso, M., & Fang, F. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Reinforcement Learning in Robotics

Cited by 30

Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection

Lin, C.-H. A., Liu, C.-Y., Chen, S. Y.-C., & Chen, K.-C. (2025) · 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 30

The Effect of Interface Consistency and Cognitive Load on User Performance in an Information Search Task

Mendel, J., & Pak, R. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Usability and User Interface DesignVisual and Cognitive Learning Processes

Cited by 30

SDN for segment based flow routing of DASH

Cetinkaya, C., Karayer, E., Sayit, M., & Hellge, C. (2014) · 2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin)

Software-Defined Networks and 5GCaching and Content Delivery

Cited by 30

Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI

Cho, J., Kim, Y. J., Sunwoo, L., Lee, G. P., Nguyen, T. Q., Cho, S. J., Baik, S. H., Bae, Y. J., Choi, B. S., Jung, C., et al. (2021) · Frontiers in Oncology

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 30

Dynamic Reconfigurable Ternary Content Addressable Memory for OpenFlow-Compliant Low-Power Packet Processing

Chen, T.-S., Lee, D.-Y., Liu, T.-T., & Wu, A.-Y. (2016) · IEEE Transactions on Circuits and Systems I: Regular Papers

Network Packet Processing and OptimizationSoftware-Defined Networks and 5G

Cited by 30

Autonomy in Space Exploration: Current Capabilities and Future Challenges

Jonsson, A. K., Morris, R. A., & Pedersen, L. (2007) · 2007 IEEE Aerospace Conference

AI-based Problem Solving and PlanningSpace Exploration and Technology

Cited by 30

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

Bohnet, B., Tran, V. Q., Verga, P., Aharoni, R., Andor, D., Soares, L. B., Ciaramita, M., Eisenstein, J., Ganchev, K., Herzig, J., et al. (2022) · arXiv

Topic ModelingAuthorship Attribution and Profiling

Cited by 30

An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability

Zhang, S., Heck, P. R., Meyer, M. N., Chabris, C. F., Goldstein, D. G., & Hofman, J. M. (2023) · Proceedings of the National Academy of Sciences

Data Visualization and AnalyticsMeta-analysis and systematic reviews

Cited by 30

Identifying and Avoiding Confusion in Dialogue with People with Alzheimer's Disease

Chinaei, H., Currie, L. C., Danks, A., Lin, H., Mehta, T., & Rudzicz, F. (2017) · Computational Linguistics

Speech and dialogue systemsDementia and Cognitive Impairment Research

Cited by 30

Automated snippet generation for online advertising

Thomaidou, S., Lourentzou, I., Katsivelis-Perakis, P., & Vazirgiannis, M. (2013) · Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Information Retrieval and Search BehaviorAdvanced Text Analysis Techniques

Cited by 30