Check computer science papers: citations, claims and retractions

YOLOdrive: A Lightweight Autonomous Driving Single-Stage Target Detection Approach

Wang, L., Hua, S., Zhang, C., Yang, G., Ren, J., & Li, J. (2024) · IEEE Internet of Things Journal

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 14

Achieving Fast and Lightweight SDN Updates with Segment Routing

Luo, L., Yu, H., Luo, S., Zhang, M., & Yu, S. (2016) · 2016 IEEE Global Communications Conference (GLOBECOM)

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 14

Improved Differential Evolution Algorithm and Its Applications to Orbit Design

Yao, W., Luo, J., Macdonald, M., Wang, M., & Ma, W. (2018) · Journal of Guidance, Control, and Dynamics

Metaheuristic Optimization Algorithms ResearchSpacecraft Dynamics and Control

Cited by 14

Privacy-aware filter-based feature selection

Jafer, Y., Matwin, S., & Sokolova, M. (2014) · 2014 IEEE International Conference on Big Data (Big Data)

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 14

Employing artificial intelligence techniques to make films

Khalid Naji, A. (2024) · Al-Academy

Digital Media and Visual ArtArtificial Intelligence Applications

Cited by 14

Trained on 100 million words and still in shape: BERT meets British National Corpus

Samuel, D., Kutuzov, A., Øvrelid, L., & Velldal, E. (2023) · Findings of the Association for Computational Linguistics: EACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 14

AixBench: A Code Generation Benchmark Dataset

Hao, Y., Li, G., Liu, Y., Miao, X., Zong, H., Jiang, S., Liu, Y., & Wei, H. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 14

Adopting SCRUM Framework in a Software Development of Payroll Information System

Sudarsono, B. G. (2020) · International Journal of Advanced Trends in Computer Science and Engineering

Software Engineering Techniques and PracticesEngineering and Information Technology

Cited by 14

Hierarchical control using networks trained with higher-level forward models

Wayne, G., & Abbott, L. F. (2014) · Neural Computation

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 14

Trusting the Search: Unraveling Human Trust in Health Information from Google and ChatGPT

Sun, X., Ma, R., Zhao, X., Li, Z., Lindqvist, J., Ali, A. E., & Bosch, J. A. (2024) · arXiv

Information Retrieval and Search BehaviorHealth Literacy and Information Accessibility

Cited by 14

Promoting health equity through improved regulation of artificial intelligence medical devices

Dortche, K., McCarthy, G., Banbury, S., & Yannatos, I. (2023) · Journal of Science Policy & Governance

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 14

Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Yuan, X., Baek, J., Xu, K., Tov, O., & Fei, H. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 14

The NLP Task Effectiveness of Long-Range Transformers

Qin, G., Feng, Y., & Van Durme, B. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 14

Kratt: Developing an Automatic Subject Indexing Tool for the National Library of Estonia

Asula, M., Makke, J., Freienthal, L., Kuulmets, H.-A., & Sirel, R. (2021) · Cataloging & Classification Quarterly

Library Science and Information SystemsNatural Language Processing Techniques

Cited by 14

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Levy, T. J., Coppa, K., Cang, J., Barnaby, D. P., Paradis, M. D., Cohen, S. L., Makhnevich, A., van Klaveren, D., Kent, D. M., Davidson, K. W., et al. (2022) · Nature Communications

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 14

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

Zhao, J., Fang, M., Shi, Z., Li, Y., Chen, L., & Pechenizkiy, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

Multimodal Fusion with Co-attention Mechanism

Li, P., & Li, X. (2020) · 2020 IEEE 23rd International Conference on Information Fusion (FUSION)

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 14

LS-Tree: Model Interpretation When the Data Are Linguistic

Chen, J., & Jordan, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Natural Language Processing Techniques

Cited by 14

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions

Furia, C. A., Torkar, R., & Feldt, R. (2024) · ACM Transactions on Software Engineering and Methodology

Bayesian Modeling and Causal InferenceSoftware Engineering Research

Cited by 14

Capturing the Context of Use to Inform System Design

Evenson, S., Muller, M., & Roth, E. M. (2008) · Journal of Cognitive Engineering and Decision Making

Usability and User Interface DesignErgonomics and Human Factors

Cited by 14

Development of Character Design Frameworks using Game Engine: Unreal Engine

Nop, K., Manissaward, J., & Oattarapon, T. (2019) · 2019 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT-NCON)

Digital Media and Visual ArtComputer Graphics and Visualization Techniques

Cited by 14

The Development of an Intelligent Multilevel Item Bank Model for the National Evaluation of Undergraduates

Janpla, S., & Piriyasurawong, P. (2020) · Universal Journal of Educational Research

Educational Technology and AssessmentEducational Assessment and Pedagogy

Cited by 14

ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection

Wani, T. M., Gulzar, R., & Amerini, I. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 14

FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering

Kedia, A., Zaidi, M. A., & Lee, H. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14