Check computer science papers: citations, claims and retractions

Clinical text classification research trends: Systematic literature review and open issues

Mujtaba, G., Shuib, L., Idris, N., Hoo, W. L., Raj, R. G., Khowaja, K., Shaikh, K., & Nweke, H. F. (2019) · Expert Systems with Applications

Text and Document Classification TechnologiesBiomedical Text Mining and Ontologies

Cited by 123

IoT-based cloud framework to control Ebola virus outbreak

Sareen, S., Sood, S. K., & Gupta, S. K. (2018) · Journal of Ambient Intelligence and Humanized Computing

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 123

Sample size in usability studies

Schmettow, M. (2012) · Communications of the ACM

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 123

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Gehrmann, S., Clark, E., & Sellam, T. (2023) · Journal of Artificial Intelligence Research

Natural Language Processing TechniquesTopic Modeling

Cited by 123

A comparative study of adaptive, automatic recognition of disordered speech

Christensen, H., Cunningham, S., Fox, C., Green, P., & Hain, T. (2012) · Interspeech 2012

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 123

Jointly Learning to Align and Translate with Transformer Models

Garg, S., Peitz, S., Nallasamy, U., & Paulik, M. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 123

Bite Weight Prediction From Acoustic Recognition of Chewing

Amft, O., Kusserow, M., & Troster, G. (2009) · IEEE Transactions on Biomedical Engineering

Context-Aware Activity Recognition SystemsPhonocardiography and Auscultation Techniques

Cited by 123

A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access

Zhong, C., Lu, Z., Gursoy, M. C., & Velipasalar, S. (2019) · IEEE Transactions on Cognitive Communications and Networking

Wireless Networks and ProtocolsCognitive Radio Networks and Spectrum Sensing

Cited by 123

Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions

Samant, R. M., Bachute, M. R., Gite, S., & Kotecha, K. (2022) · IEEE Access

Topic ModelingNatural Language Processing Techniques

Cited by 123

AI in knowledge sharing, which ethical challenges are raised in decision-making processes for organisations?

Rezaei, M., Pironti, M., & Quaglia, R. (2025) · Management Decision

Ethics and Social Impacts of AIKnowledge Management and Technology

Cited by 123

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

Eysenbach, B., Salakhutdinov, R., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 123

Applications of AI in classical software engineering

Barenkamp, M., Rebstadt, J., & Thomas, O. (2020) · AI Perspectives

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 123

Method of Reaching Consensus on Probability of Food Safety Based on the Integration of Finite Credible Data on Block Chain

Yan, L., Yin-He, S., Qian, Y., Zhi-Yu, S., Chun-Zi, W., & Zi-Yun, L. (2021) · IEEE Access

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 123

Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space

Geva, M., Caciularu, A., Wang, K. R., & Goldberg, Y. (2022) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 123

Automatic question generation and answer assessment: a survey

Das, B., Majumder, M., Phadikar, S., & Sekh, A. A. (2021) · Research and Practice in Technology Enhanced Learning

Educational Technology and AssessmentIntelligent Tutoring Systems and Adaptive Learning

Cited by 123

Extensible Access Control Markup Language (XACML) and Next Generation Access Control (NGAC)

Ferraiolo, D., Chandramouli, R., Kuhn, R., & Hu, V. (2016) · Proceedings of the 2016 ACM International Workshop on Attribute Based Access Control

Access Control and TrustDigital Rights Management and Security

Cited by 123

Rethinking open source generative AI: open washing and the EU AI Act

Liesenfeld, A., & Dingemanse, M. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 123

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity

Cao, X., Yang, J., Wang, L., Xue, Z., Wang, Q., & Shen, D. (2018) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 123

Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

Ellis, K., Godbole, S., Marshall, S., Lanckriet, G., Staudenmayer, J., & Kerr, J. (2014) · Frontiers in Public Health

Context-Aware Activity Recognition SystemsUrban Transport and Accessibility

Cited by 123

Fast and accurate object detector for autonomous driving based on improved YOLOv5

Jia, X., Tong, Y., Qiao, H., Li, M., Tong, J., & Liang, B. (2023) · Scientific Reports

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 123

Generating Datasets with Pretrained Language Models

Schick, T., & Schütze, H. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 122

Detecting Hallucinated Content in Conditional Neural Sequence Generation

Zhou, C., Neubig, G., Gu, J., Diab, M., Guzmán, F., Zettlemoyer, L., & Ghazvininejad, M. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Natural Language Processing TechniquesTopic Modeling

Cited by 122

ProofWriter: Generating implications, proofs, and abductive statements over natural language

Tafjord, O., Dalvi, B., & Clark, P. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 122

A Survey on Web Application Vulnerabilities (SQLIA, XSS) Exploitation and Security Engine for SQL Injection

Johari, R., & Sharma, P. (2012) · 2012 International Conference on Communication Systems and Network Technologies

Web Application Security VulnerabilitiesWeb Applications and Data Management

Cited by 122