Check computer science papers: citations, claims and retractions

Vertical accuracy evaluation of SRTM-GL1, GDEM-V2, AW3D30 and CartoDEM-V3.1 of 30-m resolution with dual frequency GNSS for lower Tapi Basin India

Jain, A. O., Thaker, T., Chaurasia, A., Patel, P., & Singh, A. K. (2018) · Geocarto International

Satellite Image Processing and PhotogrammetryGNSS positioning and interference

Cited by 67

What caused what? A quantitative account of actual causation using dynamical causal networks

Albantakis, L., Marshall, W., Hoel, E., & Tononi, G. (2019) · Entropy

Bayesian Modeling and Causal InferencePhilosophy of Biology and Scientific Explanation

Cited by 67

Prom Week: social physics as gameplay

McCoy, J., Treanor, M., Samuel, B., Mateas, M., & Wardrip-Fruin, N. (2011) · Proceedings of the 6th International Conference on Foundations of Digital Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 67

Reliable and Highly Available Distributed Publish/Subscribe Service

Kazemzadeh, R. S., & Jacobsen, H.-A. (2009) · 2009 28th IEEE International Symposium on Reliable Distributed Systems

Distributed systems and fault toleranceAdvanced Database Systems and Queries

Cited by 67

Virtual tourism for older adults living in residential care: A mixed-methods study

Fiocco, A. J., Millett, G., D’Amico, D., Krieger, L., Sivashankar, Y., Lee, S. H., & Lachman, R. (2021) · PLOS ONE

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 67

Crowd Fraud Detection in Internet Advertising

Tian, T., Zhu, J., Xia, F., Zhuang, X., & Zhang, T. (2015) · Proceedings of the 24th International Conference on World Wide Web

Spam and Phishing DetectionMobile Crowdsensing and Crowdsourcing

Cited by 67

The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems

Creel, K., & Hellman, D. (2022) · Canadian Journal of Philosophy

Ethics and Social Impacts of AIPolitical Philosophy and Ethics

Cited by 67

Moving Vehicle Detection for Measuring Traffic Count Using OpenCV

Uke, N. J., & Thool, R. C. (2013) · Journal of Automation and Control Engineering

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 67

Exploring Contrastive Learning in Human Activity Recognition for Healthcare

Tang, C. I., Perez-Pozuelo, I., Spathis, D., & Mascolo, C. (2020) · arXiv

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 67

DNN Filter Bank Cepstral Coefficients for Spoofing Detection

Yu, H., Tan, Z.-H., Zhang, Y., Ma, Z., & Guo, J. (2017) · IEEE Access

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 67

Patina: dynamic heatmaps for visualizing application usage

Matejka, J., Grossman, T., & Fitzmaurice, G. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsUsability and User Interface Design

Cited by 67

Detecting Sisease-Specific Patterns of Brain Structure Using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas

Thompson, P. M., Mega, M. S., Vidal, C., Rapoport, J. L., & Toga, A. W. (2001) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies

Cited by 67

Hidden Figures: Roles and Pathways of Successful OSS Contributors

Trinkenreich, B., Guizani, M., Wiese, I., Sarma, A., & Steinmacher, I. (2020) · Proceedings of the ACM on Human-Computer Interaction

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 67

Transparency of artificial intelligence/machine learning-enabled medical devices

Shick, A. A., Webber, C. M., Kiarashi, N., Weinberg, J. P., Deoras, A., Petrick, N., Saha, A., & Diamond, M. C. (2024) · npj Digital Medicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 67

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Black, S., Biderman, S., Hallahan, E., Anthony, Q., Gao, L., Golding, L., He, H., Leahy, C., McDonell, K., Phang, J., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 67

Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings

Zolfo, M., Iglesias, D., Kiyan, C., Echevarria, J., Fucay, L., Llacsahuanga, E., de Waard, I., Suàrez, V., Llaque, W., & Lynen, L. (2010) · AIDS Research and Therapy

Mobile Learning in EducationICT in Developing Communities

Cited by 67

Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education

Sha, L., Rakovic, M., Das, A., Gasevic, D., & Chen, G. (2022) · IEEE Transactions on Learning Technologies

Online Learning and AnalyticsImbalanced Data Classification Techniques

Cited by 67

Towards trustworthy and private keyword search in encrypted decentralized storage

Cai, C., Yuan, X., & Wang, C. (2017) · 2017 IEEE International Conference on Communications (ICC)

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 67

Discovering and exploiting 3D symmetries in structure from motion

Cohen, A., Zach, C., Sinha, S. N., & Pollefeys, M. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 67

Video Rewrite: Driving Visual Speech with Audio

Bregler, C., Covell, M., & Slaney, M. (2023) · Seminal Graphics Papers: Pushing the Boundaries, Volume 2

Speech and Audio ProcessingHuman Motion and Animation

Cited by 67

A Bayesian approach to generating tutorial hints in a collaborative medical problem-based learning system

Suebnukarn, S., & Haddawy, P. (2006) · Artificial Intelligence in Medicine

Intelligent Tutoring Systems and Adaptive LearningProblem and Project Based Learning

Cited by 67

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Deitke, M., Clark, C., Lee, S., Tripathi, R., Yang, Y., Park, J. S., Salehi, M., Muennighoff, N., Lo, K., Soldaini, L., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 67

Low-resource multi-task audio sensing for mobile and embedded devices via shared deep neural network representations

Georgiev, P., Bhattacharya, S., Lane, N. D., & Mascolo, C. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 67

Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms

Robertson, S., Nguyen, T., & Salehi, N. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 67