Check computer science papers: citations, claims and retractions

LDAvis: Interactive Visualization of Topic Models

Sievert, C., & Shirley, K. (2015) · CRAN: Contributed Packages

Data Visualization and AnalyticsComputational and Text Analysis Methods

Cited by 25

Augmented reality technologies to promote STEM learning

Costa, M. C., Patricio, J. M., Carranca, J. A., & Farropo, B. (2018) · 2018 13th Iberian Conference on Information Systems and Technologies (CISTI)

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 25

Improve reputation evaluation of crowdsourcing participants using multidimensional index and machine learning techniques

Huang, Y., & Chen, M. (2019) · IEEE Access

Mobile Crowdsensing and CrowdsourcingAccess Control and Trust

Cited by 25

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Yang, Z., Teng, J., Zheng, W., Ding, M., Huang, S., Xu, J., Yang, Y., Hong, W., Zhang, X., Feng, G., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 25

Experiences from measuring human mobility using Bluetooth inquiring devices

Nordström, E., Diot, C., Gass, R., & Gunningberg, P. (2007) · Proceedings of the 1st international workshop on System evaluation for mobile platforms

Bluetooth and Wireless Communication TechnologiesOpportunistic and Delay-Tolerant Networks

Cited by 25

EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets

Liu, L., & Gruteser, M. (2021) · IEEE INFOCOM 2021 - IEEE Conference on Computer Communications

IoT and Edge/Fog ComputingAutonomous Vehicle Technology and Safety

Cited by 25

Hatemongers ride on echo chambers to escalate hate speech diffusion

Goel, V., Sahnan, D., Dutta, S., Bandhakavi, A., & Chakraborty, T. (2023) · PNAS Nexus

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 25

Visual Question Generation: The State of the Art

Patil, C., & Patwardhan, M. (2021) · ACM Computing Surveys

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 25

An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia

Qin, Y., Wu, Y., Lee, T., & Kong, A. P. H. (2020) · Journal of Signal Processing Systems

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 25

Platon: Pruning large transformer models with upper confidence bound of weight importance

Zhang, Q., Zuo, S., Liang, C., Bukharin, A., He, P., Chen, W., & Zhao, T. (2022) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 25

Fully Reversible Privacy Region Protection for Cloud Video Surveillance

Ma, X., Yang, L. T., Xiang, Y., Zeng, W. K., Zou, D., & Jin, H. (2017) · IEEE Transactions on Cloud Computing

Video Coding and Compression TechnologiesChaos-based Image/Signal Encryption

Cited by 25

Interpretable Computer Vision to Detect and Classify Structural Laryngeal Lesions in Digital Flexible Laryngoscopic Images

Bur, A. M., Zhang, T., Chen, X., Kavookjian, H., Kraft, S., Karadaghy, O., Farrokhian, N., Mussatto, C., Penn, J., & Wang, G. (2023) · Otolaryngology–Head and Neck Surgery

AI in cancer detectionVoice and Speech Disorders

Cited by 25

Automatic Program Repair with OpenAI's Codex: Evaluating QuixBugs

Prenner, J. A., & Robbes, R. (2021) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 25

A Design Space for Writing Support Tools Using a Cognitive Process Model of Writing

Gero, K., Calderwood, A., Li, C., & Chilton, L. (2022) · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)

Natural Language Processing TechniquesWriting and Handwriting Education

Cited by 25

Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks

Lumer, E., Nizar, F., Jangiti, A., Frank, K., Gulati, A., Phadate, M., & Subbiah, V. K. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 25

The illusion of having a tall or short body differently modulates interpersonal and peripersonal space

D’Angelo, M., di Pellegrino, G., & Frassinetti, F. (2019) · Behavioural Brain Research

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 25

Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation

Zheng, H., Motch Perrine, S. M., Pitirri, M. K., Kawasaki, K., Wang, C., Richtsmeier, J. T., & Chen, D. Z. (2020) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 25

Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education

Zeng, Z., Sha, L., Li, Y., Yang, K., Gašević, D., & Chen, G. (2023) · arXiv

Authorship Attribution and ProfilingArtificial Intelligence in Education

Cited by 25

Pay By Showing Your Palm: A Study of Palmprint Verification on Mobile Platforms

Zhang, Y., Zhang, L., Liu, X., Zhao, S., Shen, Y., & Yang, Y. (2019) · 2019 IEEE International Conference on Multimedia and Expo (ICME)

Biometric Identification and SecurityUser Authentication and Security Systems

Cited by 25

Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach

Hazzazi, M. M., Rehman, M. U., Shafique, A., Aljaedi, A., Bassfar, Z., & Usman, A. B. (2024) · Scientific Reports

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 25

SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents

Mündler, N., Müller, M., He, J., & Vechev, M. (2024) · Advances in Neural Information Processing Systems 37

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 25

From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Charan, P. V. S., Chunduri, H., Anand, P. M., & Shukla, S. K. (2023) · arXiv

Adversarial Robustness in Machine LearningAdvanced Malware Detection Techniques

Cited by 25

Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods

Malafaia, M., Silva, F., Neves, I., Pereira, T., & Oliveira, H. P. (2022) · IEEE Access

Explainable Artificial Intelligence (XAI)AI in cancer detection

Cited by 25

Self-Supervised Pre-training for Time Series Classification

Shi, P., Ye, W., & Qin, Z. (2021) · 2021 International Joint Conference on Neural Networks (IJCNN)

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 25