Check computer science papers: citations, claims and retractions

Shortformer: Better Language Modeling using Shorter Inputs

Press, O., Smith, N. A., & Lewis, M. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 55

The effect of time separation on coordination costs in global software teams: a dyad model

Espinosa, J. A., & Carmel, E. (2004) · 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 55

Perceptions of virtual reality among therapists who do not apply this technology in clinical practice.

Schwartzman, D., Segal, R., & Drapeau, M. (2012) · Psychological Services

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 55

LooGLE: Can Long-Context Language Models Understand Long Contexts?

Li, J., Wang, M., Zheng, Z., & Zhang, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 55

Location Privacy Challenges in Mobile Edge Computing: Classification and Exploration

Tian, Z., Wang, Y., Sun, Y., & Qiu, J. (2020) · IEEE Network

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 55

Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study

Fathi Kazerooni, A., Arif, S., Madhogarhia, R., Khalili, N., Haldar, D., Bagheri, S., Familiar, A. M., Anderson, H., Haldar, S., Tu, W., et al. (2023) · Neuro-Oncology Advances

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 55

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools

Bhatia, S., Gandhi, T., Kumar, D., & Jalote, P. (2024) · Proceedings of the 1st International Workshop on Large Language Models for Code

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 55

ADD: Attention-Based DeepFake Detection Approach

Khormali, A., & Yuan, J.-S. (2021) · Big Data and Cognitive Computing

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 55

CarFast: achieving higher statement coverage faster

Park, S., Hossain, B. M. M., Hussain, I., Csallner, C., Grechanik, M., Taneja, K., Fu, C., & Xie, Q. (2012) · Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 55

Measurement Cost of Metric-Aware Variational Quantum Algorithms

van Straaten, B., & Koczor, B. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 55

Shortformer: Better language modeling using shorter inputs

Press, O., Smith, N. A., & Lewis, M. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 55

AI Documentation: A path to accountability

Königstorfer, F., & Thalmann, S. (2022) · Journal of Responsible Technology

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 55

Domain Generalization for Activity Recognition via Adaptive Feature Fusion

Qin, X., Wang, J., Chen, Y., Lu, W., & Jiang, X. (2023) · ACM Transactions on Intelligent Systems and Technology

Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems

Cited by 55

MSMatch: Semisupervised Multispectral Scene Classification With Few Labels

Gomez, P., & Meoni, G. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote-Sensing Image ClassificationDomain Adaptation and Few-Shot Learning

Cited by 55

Automated pancreas segmentation and volumetry using deep neural network on computed tomography

Lim, S.-H., Kim, Y. J., Park, Y.-H., Kim, D., Kim, K. G., & Lee, D.-H. (2022) · Scientific Reports

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 55

CSCC: Simple, Efficient, Context Sensitive Code Completion

Asaduzzaman, M., Roy, C. K., Schneider, K. A., & Hou, D. (2014) · 2014 IEEE International Conference on Software Maintenance and Evolution

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 55

Insider Threat Detection using Deep Autoencoder and Variational Autoencoder Neural Networks

Pantelidis, E., Bendiab, G., Shiaeles, S., & Kolokotronis, N. (2021) · 2021 IEEE International Conference on Cyber Security and Resilience (CSR)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 55

Conversational Query Understanding Using Sequence to Sequence Modeling

Ren, G., Ni, X., Malik, M., & Ke, Q. (2018) · Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18

Information Retrieval and Search BehaviorTopic Modeling

Cited by 55

Using learning analytics to assess student engagement and academic outcomes in open access enabling programmes

Atherton, M., Shah, M., Vazquez, J., Griffiths, Z., Jackson, B., & Burgess, C. (2017) · Open Learning: The Journal of Open, Distance and e-Learning

Online Learning and AnalyticsOnline and Blended Learning

Cited by 55

Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-Operative Prostate Cancer

Bernard, J., Sessler, D., Kohlhammer, J., & Ruddle, R. A. (2019) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsElectronic Health Records Systems

Cited by 55

What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

Kaplan, D. M., Palitsky, R., Arconada Alvarez, S. J., Pozzo, N. S., Greenleaf, M. N., Atkinson, C. A., & Lam, W. A. (2024) · Journal of Medical Internet Research

Ethics and Social Impacts of AIGender Studies in Language

Cited by 55

The brain of the future and the viability of democratic governance: The role of artificial intelligence, cognitive machines, and viable systems

Casares, A. P. (2018) · Futures

Ethics and Social Impacts of AISmart Cities and Technologies

Cited by 54

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition

Schulhoff, S., Pinto, J., Khan, A., Bouchard, L.-F., Si, C., Anati, S., Tagliabue, V., Kost, A., Carnahan, C., & Boyd-Graber, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 54

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent

Li, B., Yan, T., Pan, Y., Luo, J., Ji, R., Ding, J., Xu, Z., Liu, S., Dong, H., Lin, Z., et al. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 54