Check computer science papers: citations, claims and retractions

Predictive interaction using the delphian desktop

Asano, T., Sharlin, E., Kitamura, Y., Takashima, K., & Kishino, F. (2005) · Proceedings of the 18th annual ACM symposium on User interface software and technology

Interactive and Immersive DisplaysGaze Tracking and Assistive Technology

Cited by 116

Semantic similarity metrics for evaluating source code summarization

Haque, S., Eberhart, Z., Bansal, A., & McMillan, C. (2022) · Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Software Engineering ResearchTopic Modeling

Cited by 116

Is GitHub copilot a substitute for human pair-programming?: an empirical study

Imai, S. (2022) · Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 116

In vivo hippocampal measurement and memory: a comparison of manual tracing and automated segmentation in a large community-based sample

Cherbuin, N., Anstey, K. J., Réglade-Meslin, C., & Sachdev, P. S. (2009) · PLoS ONE

Medical Image Segmentation TechniquesDementia and Cognitive Impairment Research

Cited by 116

Objective assessment of depressive symptoms with machine learning and wearable sensors data

Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., & Picard, R. (2017) · 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 116

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Rojat, T., Puget, R., Filliat, D., Del Ser, J., Gelin, R., & Díaz-Rodríguez, N. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Time Series Analysis and Forecasting

Cited by 116

Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research

Borissov, N., Haas, Q., Minder, B., Kopp-Heim, D., von Gernler, M., Janka, H., Teodoro, D., & Amini, P. (2022) · Systematic Reviews

Data Quality and ManagementMeta-analysis and systematic reviews

Cited by 116

Intelligent Traffic-Monitoring System Based on YOLO and Convolutional Fuzzy Neural Networks

Lin, C.-J., & Jhang, J.-Y. (2022) · IEEE Access

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 116

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Chao, P., Debenedetti, E., Robey, A., Andriushchenko, M., Croce, F., Sehwag, V., Dobriban, E., Flammarion, N., Pappas, G. J., Tramer, F., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 116

Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Cao, Y., & Fleet, D. J. (2014) · arXiv

Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks

Cited by 116

Malicious Insider Attack Detection in IoTs Using Data Analytics

Khan, A. Y., Latif, R., Latif, S., Tahir, S., Batool, G., & Saba, T. (2020) · IEEE Access

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 116

In Search of Quality: Using Quality Matters to Analyze the Quality of Massive, Open, Online Courses (MOOCs)

Lowenthal, P., & Hodges, C. (2015) · The International Review of Research in Open and Distributed Learning

Online Learning and AnalyticsOpen Education and E-Learning

Cited by 116

Decentralized Identity: Where Did It Come From and Where Is It Going?

Avellaneda, O., Bachmann, A., Barbir, A., Brenan, J., Dingle, P., Duffy, K. H., Maler, E., Reed, D., & Sporny, M. (2019) · IEEE Communications Standards Magazine

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 116

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

Hedström, A., Weber, L., Bareeva, D., Krakowczyk, D., Motzkus, F., Samek, W., Lapuschkin, S., & Höhne, M. M. C. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 116

A Blockchain-Enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing

Xu, J., Wang, S., Bhargava, B. K., & Yang, F. (2019) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 116

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Mandlekar, A., Zhu, Y., Garg, A., Fei-Fei, L., & Savarese, S. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 116

Social Injustice in Surveillance Capitalism

Cinnamon, J. (2017) · Surveillance & Society

Ethics and Social Impacts of AICultural Studies and Postmodernism

Cited by 116

Artificial Bee Colony Optimization Algorithm for Enhancing Routing in Wireless Networks

Jacob, I. J., & Darney, P. E. (2021) · Journal of Artificial Intelligence and Capsule Networks

Metaheuristic Optimization Algorithms ResearchMobile Ad Hoc Networks

Cited by 116

VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation

Gan, C., Li, Y., Li, H., Sun, C., & Gong, B. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 116

Outcomes associated with virtual reality in psychological interventions: where are we now?

Turner, W. A., & Casey, L. M. (2014) · Clinical Psychology Review

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 116

Blockchain leveraged decentralized IoT ehealth framework

Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2020) · Internet of Things

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 116

CS majors' self-efficacy perceptions in CS1: results in light of social cognitive theory

Kinnunen, P., & Simon, B. (2011) · Proceedings of the seventh international workshop on Computing education research

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 116

SearchGazer: Webcam Eye Tracking for Remote Studies of Web Search

Papoutsaki, A., Laskey, J., & Huang, J. (2017) · Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval

Gaze Tracking and Assistive TechnologyInformation Retrieval and Search Behavior

Cited by 116

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Khalid, H., Tariq, S., Kim, M., & Woo, S. S. (2021) · arXiv

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 116