Check computer science papers: citations, claims and retractions

How the different explanation classes impact trust calibration: The case of clinical decision support systems

Naiseh, M., Al-Thani, D., Jiang, N., & Ali, R. (2023) · International Journal of Human-Computer Studies

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 170

Data engineering for fraud detection

Baesens, B., Höppner, S., & Verdonck, T. (2021) · Decision Support Systems

Imbalanced Data Classification TechniquesPrivacy-Preserving Technologies in Data

Cited by 170

Image splicing detection using 2-D phase congruency and statistical moments of characteristic function

Chen, W., Shi, Y. Q., & Su, W. (2007) · SPIE Proceedings

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 170

Computing education in children's early years: A call for debate

Manches, A., & Plowman, L. (2017) · British Journal of Educational Technology

Teaching and Learning ProgrammingChild Development and Digital Technology

Cited by 170

Deep Model Poisoning Attack on Federated Learning

Zhou, X., Xu, M., Wu, Y., & Zheng, N. (2021) · Future Internet

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 170

Prediction of students’ early dropout based on their interaction logs in online learning environment

Mubarak, A. A., Cao, H., & Zhang, W. (2022) · Interactive Learning Environments

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 170

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Fang, J., Jiang, H., Wang, K., Ma, Y., Jie, S., Wang, X., He, X., & Chua, T.-S. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 170

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Xia, Y., Liu, F., Yang, D., Cai, J., Yu, L., Zhu, Z., Xu, D., Yuille, A., & Roth, H. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 170

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Ilahi, I., Usama, M., Qadir, J., Janjua, M. U., Al-Fuqaha, A., Hoang, D. T., & Niyato, D. (2022) · IEEE Transactions on Artificial Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 170

Unsupervised representation learning for time series with temporal neighborhood coding

Tonekaboni, S., Eytan, D., & Goldenberg, A. (2021) · arXiv

Time Series Analysis and ForecastingTopological and Geometric Data Analysis

Cited by 170

Implicit Regularization in Matrix Factorization

Gunasekar, S., Woodworth, B., Bhojanapalli, S., Neyshabur, B., & Srebro, N. (2018) · 2018 Information Theory and Applications Workshop (ITA)

Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization Techniques

Cited by 170

Never Give Up: Learning Directed Exploration Strategies

Badia, A. P., Sprechmann, P., Vitvitskyi, A., Guo, D., Piot, B., Kapturowski, S., Tieleman, O., Arjovsky, M., Pritzel, A., Bolt, A., et al. (2020) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 170

ASFormer: Transformer for Action Segmentation

Yi, F., Wen, H., & Jiang, T. (2021) · Proceedings of the British Machine Vision Conference 2021

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 170

Lclogit: A Stata Command for Fitting Latent-Class Conditional Logit Models via the Expectation-Maximization Algorithm

Pacifico, D., & Yoo, H. I. (2013) · The Stata Journal: Promoting communications on statistics and Stata

Bayesian Methods and Mixture ModelsEconomic and Environmental Valuation

Cited by 170

Ethics of AI: a systematic literature review of principles and challenges

Khan, A. A., Badshah, S., Liang, P., Waseem, M., Khan, B., Ahmad, A., Fahmideh, M., Niazi, M., & Akbar, M. A. (2022) · The International Conference on Evaluation and Assessment in Software Engineering 2022

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 170

Knowledge Graph Prompting for Multi-Document Question Answering

Wang, Y., Lipka, N., Rossi, R. A., Siu, A., Zhang, R., & Derr, T. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 170

Anthropomorphism in AI: hype and fallacy

Placani, A. (2024) · AI and Ethics

Ethics and Social Impacts of AINeuroethics, Human Enhancement, Biomedical Innovations

Cited by 170

A Day in the Life of PubMed: Analysis of a Typical Day's Query Log

Herskovic, J. R., Tanaka, L. Y., Hersh, W., & Bernstam, E. V. (2007) · Journal of the American Medical Informatics Association

Information Retrieval and Search BehaviorLibrary Science and Information Literacy

Cited by 170

Human-like problem-solving abilities in large language models using ChatGPT

Orrù, G., Piarulli, A., Conversano, C., & Gemignani, A. (2023) · Frontiers in Artificial Intelligence

Topic ModelingArtificial Intelligence Applications

Cited by 170

Tomography and generative training with quantum Boltzmann machines

Kieferová, M., & Wiebe, N. (2017) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 170

BreathPrint: Breathing Acoustics-based User Authentication

Chauhan, J., Hu, Y., Seneviratne, S., Misra, A., Seneviratne, A., & Lee, Y. (2017) · Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

User Authentication and Security SystemsBiometric Identification and Security

Cited by 170

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

Deng, F., Feng, H., Liang, M., Wang, H., Yang, Y., Gao, Y., Chen, J., Hu, J., Guo, X., & Lam, T. L. (2021) · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Advanced Neural Network ApplicationsAdvanced Image Fusion Techniques

Cited by 170

Algorithmic fairness in computational medicine

Xu, J., Xiao, Y., Wang, W. H., Ning, Y., Shenkman, E. A., Bian, J., & Wang, F. (2022) · eBioMedicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 170

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

Wang, S., Qureshi, M. A., Miralles-Pechuán, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024) · IEEE Open Journal of the Communications Society

Explainable Artificial Intelligence (XAI)Software-Defined Networks and 5G

Cited by 170