Check computer science papers: citations, claims and retractions

AI transparency: a matter of reconciling design with critique

Hollanek, T. (2023) · AI & SOCIETY

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 35

Enhancing Critical Infrastructure Security: Unsupervised Learning Approaches for Anomaly Detection

Pinto, A., Herrera, L.-C., Donoso, Y., & Gutierrez, J. A. (2024) · International Journal of Computational Intelligence Systems

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 35

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation

Eriksson, M., Purificato, E., Noroozian, A., Vinagre, J., Chaslot, G., Gomez, E., & Fernandez-Llorca, D. (2025) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 35

StoryDrawer: A Co-Creative Agent Supporting Children's Storytelling through Collaborative Drawing

Zhang, C., Yao, C., Liu, J., Zhou, Z., Zhang, W., Liu, L., Ying, F., Zhao, Y., & Wang, G. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionDigital Media and Visual Art

Cited by 35

Systematic literature review on intrusion detection systems: Research trends, algorithms, methods, datasets, and limitations

Issa, M. M., Aljanabi, M., & Muhialdeen, H. M. (2024) · Journal of Intelligent Systems

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 35

Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Moghaddam, S. R., & Honey, C. J. (2023) · arXiv

Topic ModelingChild and Animal Learning Development

Cited by 35

Positioning Your Organization to Respond to Insider Threats

Greitzer, F. L., Purl, J., Leong, Y. M., & Sticha, P. J. (2019) · IEEE Engineering Management Review

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 35

Content-aware frame interpolation (CAFI): deep learning-based temporal super-resolution for fast bioimaging

Priessner, M., Gaboriau, D. C. A., Sheridan, A., Lenn, T., Garzon-Coral, C., Dunn, A. R., Chubb, J. R., Tousley, A. M., Majzner, R. G., Manor, U., et al. (2024) · Nature Methods

Advanced Image Processing TechniquesCell Image Analysis Techniques

Cited by 35

Reverse testing: an efficient framework to select amongst classifiers under sample selection bias

Fan, W., & Davidson, I. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 35

Real-Time Analysis of Time-Critical Messages in IEC 61850 Electrical Substation Communication Systems

León, H., Montez, C., Valle, O., & Vasques, F. (2019) · Energies

Network Time Synchronization TechnologiesPower Systems and Technologies

Cited by 35

Evaluating robustness of perceptual image hashing algorithms

Drmic, A., Silic, M., Delac, G., Vladimir, K., & Kurdija, A. S. (2017) · 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Advanced Steganography and Watermarking TechniquesImage Retrieval and Classification Techniques

Cited by 35

Learning pattern classification using moodle logs and the visualization of browsing processes by time-series cross-section

Dobashi, K., Ho, C. P., Fulford, C. P., Grace Lin, M.-F., & Higa, C. (2022) · Computers and Education: Artificial Intelligence

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 35

Neural Retrievers are Biased Towards LLM-Generated Content

Dai, S., Zhou, Y., Pang, L., Liu, W., Hu, X., Liu, Y., Zhang, X., Wang, G., & Xu, J. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Information Retrieval and Search BehaviorTopic Modeling

Cited by 35

Generative approach to Aspect Based Sentiment Analysis with GPT Language Models

Chumakov, S., Kovantsev, A., & Surikov, A. (2023) · Procedia Computer Science

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 35

APS: Active Pretraining with Successor Features

Liu, H., & Abbeel, P. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 35

Deep learning could diagnose diabetic nephropathy with renal pathological immunofluorescent images

Kitamura, S., Takahashi, K., Sang, Y., Fukushima, K., Tsuji, K., & Wada, J. (2020) · Diagnostics

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 35

Modeling annotator preference and stochastic annotation error for medical image segmentation

Liao, Z., Hu, S., Xie, Y., & Xia, Y. (2024) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 35

Preventing Disparate Treatment in Sequential Decision Making

Heidari, H., & Krause, A. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 35

Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection

Downes, L. M., Steiner, T. J., & How, J. P. (2020) · 2020 American Control Conference (ACC)

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 35

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning

Tan, H., Lei, J., Wolf, T., & Bansal, M. (2021) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 35

Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course

Padiyath, A., Hou, X., Pang, A., Viramontes Vargas, D., Gu, X., Nelson-Fromm, T., Wu, Z., Guzdial, M., & Ericson, B. (2024) · Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 35

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions

Diaz-Asper, C., Hauglid, M. K., Chandler, C., Cohen, A. S., Foltz, P. W., & Elvevåg, B. (2024) · American Psychologist

Ethics and Social Impacts of AIEmotion and Mood Recognition

Cited by 35

External validation of a digital pathology-based multimodal artificial intelligence architecture in the NRG/RTOG 9902 phase 3 trial

Ross, A. E., Zhang, J., Huang, H.-C., Yamashita, R., Keim-Malpass, J., Simko, J. P., DeVries, S., Morgan, T. M., Souhami, L., Dobelbower, M. C., et al. (2024) · European Urology Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 35

Individual Differences in the Flexibility of Peripersonal Space

Hunley, S. B., Marker, A. M., & Lourenco, S. F. (2017) · Experimental Psychology

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 34