Check computer science papers: citations, claims and retractions

Experiences of Patients and Therapists Testing a Virtual Reality Exposure App for Symptoms of Claustrophobia: Mixed Methods Study

Mayer, G., Gronewold, N., Polte, K., Hummel, S., Barniske, J., Korbel, J. J., Zarnekow, R., & Schultz, J.-H. (2022) · JMIR Mental Health

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 30

TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records

Al Olaimat, M., Bozdag, S., & Initiative, F. T. A. D. N. (2024) · Bioinformatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 30

Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data

Spathis, D., Servia-Rodriguez, S., Farrahi, K., Mascolo, C., & Rentfrow, J. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Emotion and Mood RecognitionMental Health Research Topics

Cited by 30

The pushback effects of race, ethnicity, gender, and age in code review

Murphy-Hill, E., Jaspan, C., Egelman, C., & Cheng, L. (2022) · Communications of the ACM

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 30

Asking questions like educational experts: automatically generating question-answer pairs on real-world examination data

Qu, F., Jia, X., & Wu, Y. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 30

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models

Chen, Z., Zhou, K., Zhang, B., Gong, Z., Zhao, X., & Wen, J.-R. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingMultimodal Machine Learning Applications

Cited by 30

Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Duan, Z., & Wang, J. (2024) · Qeios

Multi-Agent Systems and NegotiationArtificial Intelligence Applications

Cited by 30

Is BlockChain Mining Profitable in the Long Run

Islam, N., Marinakis, Y., Olson, S., White, R., & Walsh, S. (2023) · IEEE Transactions on Engineering Management

Blockchain Technology Applications and SecurityFinTech, Crowdfunding, Digital Finance

Cited by 30

Modelling an Adaptive e-Learning System Using LSTM and Random Forest Classification

Anantharaman, H., Mubarak, A., & Shobana, B. T. (2018) · 2018 IEEE Conference on e-Learning, e-Management and e-Services (IC3e)

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 30

DANTE: Predicting Insider Threat using LSTM on system logs

Ma, Q., & Rastogi, N. (2020) · 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 30

Learning Analytics Lens: Improving Quality of Higher Education

Hooda, M. (2020) · International Journal of Emerging Trends in Engineering Research

Online Learning and AnalyticsEducational and Technological Research

Cited by 30

Explainable Recommendations and Calibrated Trust: Two Systematic User Errors

Naiseh, M., Cemiloglu, D., Al Thani, D., Jiang, N., & Ali, R. (2021) · Computer

Explainable Artificial Intelligence (XAI)Recommender Systems and Techniques

Cited by 30

On Minimal Autonomous Agency: Natural and Artificial

University of the Basque Country, & Moreno, A. (2018) · Complex Systems

Multi-Agent Systems and NegotiationComplex Systems and Dynamics

Cited by 30

Measuring and Modifying Factual Knowledge in Large Language Models

Pezeshkpour, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 30

Processing data where it makes sense in modern computing systems: Enabling in-memory computation

Mutlu, O. (2018) · 2018 7th Mediterranean Conference on Embedded Computing (MECO)

Parallel Computing and Optimization Techniques3D IC and TSV technologies

Cited by 30

Differences between human and machine perception in medical diagnosis

Makino, T., Jastrzębski, S., Oleszkiewicz, W., Chacko, C., Ehrenpreis, R., Samreen, N., Chhor, C., Kim, E., Lee, J., Pysarenko, K., et al. (2022) · Scientific Reports

AI in cancer detectionExplainable Artificial Intelligence (XAI)

Cited by 30

DASH2M: Exploring HTTP/2 for Internet Streaming to Mobile Devices

Xiao, M., Swaminathan, V., Wei, S., & Chen, S. (2016) · Proceedings of the 24th ACM international conference on Multimedia

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 30

CNN-Based Multimodal Human Recognition in Surveillance Environments

Koo, J. H., Cho, S. W., Baek, N. R., Kim, M. C., & Park, K. R. (2018) · Sensors

Video Surveillance and Tracking MethodsFace recognition and analysis

Cited by 30

Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code

Michaud, E. J., Liao, I., Lad, V., Liu, Z., Mudide, A., Loughridge, C., Guo, Z. C., Kheirkhah, T. R., Vukelić, M., & Tegmark, M. (2024) · Entropy

Explainable Artificial Intelligence (XAI)Software Engineering Research

Cited by 30

Not all sensors are created equal: a framework for evaluating human performance measurement technologies

Caulfield, B., Reginatto, B., & Slevin, P. (2019) · npj Digital Medicine

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 30

InternLM2 Technical Report

Cai, Z., Cao, M., Chen, H., Chen, K., Chen, K., Chen, X., Chen, X., Chen, Z., Chen, Z., Chu, P., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 30

Crowdsourced Road Navigation: Concept, Design, and Implementation

Fan, X., Liu, J., Wang, Z., Jiang, Y., & Liu, X. (2017) · IEEE Communications Magazine

Mobile Crowdsensing and CrowdsourcingGeographic Information Systems Studies

Cited by 30

“Interfaces for explanations in human-AI interaction: proposing a design evaluation approach,”

Mucha, H., Robert, S., Breitschwerdt, R., & Fellmann, M. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 30

Aligning Subtitles in Sign Language Videos

Bull, H., Afouras, T., Varol, G., Albanie, S., Momeni, L., & Zisserman, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Hand Gesture Recognition SystemsSubtitles and Audiovisual Media

Cited by 30