Check computer science papers: citations, claims and retractions

Think before you talk: an empirical study of relationship between speech pauses and cognitive load

Khawaja, M. A., Ruiz, N., & Chen, F. (2008) · Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 30

Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix

Alongi, F., Ghielmetti, N., Pau, D., Terraneo, F., & Fornaciari, W. (2020) · 2020 IEEE International Conference on Smart Computing (SMARTCOMP)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 30

Towards Fully 8-bit Integer Inference for the Transformer Model

Lin, Y., Li, Y., Liu, T., Xiao, T., Liu, T., & Zhu, J. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Advanced Neural Network ApplicationsTopic Modeling

Cited by 30

Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention

Nazir, A., Mitra, R., Sulieman, H., & Kamalov, F. (2023) · Sensors

Video Surveillance and Tracking MethodsHuman Pose and Action Recognition

Cited by 30

Acoustic Features Analysis for Explainable Machine Learning-Based Audio Spoofing Detection

Bisogni, C., Loia, V., Nappi, M., & Pero, C. (2024) · Computer Vision and Image Understanding

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 30

Directional Bias Amplification

Wang, A., & Russakovsky, O. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 30

The Convergence of Hyperscale Data Center and High-Performance Computing Networks

Hoefler, T., Hendel, A., & Roweth, D. (2022) · Computer

Interconnection Networks and SystemsDistributed and Parallel Computing Systems

Cited by 30

N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments

Honerkamp, D., Welschehold, T., & Valada, A. (2023) · IEEE Transactions on Robotics

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 30

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Yong, Z. X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 30

The growth of software skill: a longitudinal look at learning & performance

Nilsen, E., Jong, H., Olson, J. S., Biolsi, K., Rueter, H., & Mutter, S. (1993) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93

Usability and User Interface DesignSpreadsheets and End-User Computing

Cited by 30

Multimodal Approach for DeepFake Detection

Lomnitz, M., Hampel-Arias, Z., Sandesara, V., & Hu, S. (2020) · 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 30

Seeing through health information technology: The need for transparency in software, algorithms, data privacy, and regulation

Kaplan, B. (2020) · Journal of Law and the Biosciences

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 30

SOMprocessor: A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing

Sousa, M. A. D. A. D., Pires, R., & Del-Moral-Hernandez, E. (2020) · Neural Networks

Neural Networks and ApplicationsEmbedded Systems Design Techniques

Cited by 30

Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model

Baydargil, H. B., Park, J.-S., & Kang, D.-Y. (2021) · Applied Sciences

Anomaly Detection Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 30

Automatic generation of short answer questions for reading comprehension assessment

HUANG, Y., & HE, L. (2016) · Natural Language Engineering

Natural Language Processing TechniquesTopic Modeling

Cited by 30

Computational Thinking: A Strategy for Developing Problem Solving Skills and Higher Order Thinking Skills (HOTS)

Zaharin, N. L., Sharif, S., & Mariappan, M. (2018) · International Journal of Academic Research in Business and Social Sciences

Teaching and Learning ProgrammingEducation and Critical Thinking Development

Cited by 30

Federated Learning-Based Cell-Free Massive MIMO System for Privacy-Preserving

Zhang, J., Zhang, J., Ng, D. W. K., & Ai, B. (2023) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataAdvanced MIMO Systems Optimization

Cited by 30

Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics

Pathak, A., Gandhi, R., Uttam, V., Ramamoorthy, A., Ghosh, P., Jindal, A. R., Verma, S., Mittal, A., Ased, A., Khatri, C., et al. (2025) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 30

Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion

Jaganathan, S., Kukla, M., Wang, J., Shetty, K., & Maier, A. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 30

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization

Ladhak, F., Durmus, E., Suzgun, M., Zhang, T., Jurafsky, D., McKeown, K., & Hashimoto, T. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 30

Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step

Rueda, S., Knight, C. L., Papageorghiou, A. T., & Alison Noble, J. (2015) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 30

“A theme-rewriting approach for generating algebra word problems,”

Koncel-Kedziorski, R., Konstas, I., Zettlemoyer, L., & Hajishirzi, H. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 30

Is it worth adopting DevOps practices in Global Software Engineering? Possible challenges and benefits

Grande, R., Vizcaíno, A., & García, F. O. (2024) · Computer Standards & Interfaces

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 30

Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models

Saito, I., Nishida, K., Nishida, K., & Tomita, J. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 30