Check computer science papers: citations, claims and retractions

MedGCN: Medication recommendation and lab test imputation via graph convolutional networks

Mao, C., Yao, L., & Luo, Y. (2022) · Journal of Biomedical Informatics

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 70

Importance of Self-Attention for Sentiment Analysis

Letarte, G., Paradis, F., Giguère, P., & Laviolette, F. (2018) · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 70

GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing

Suchikova, Y., Tsybuliak, N., Teixeira da Silva, J. A., & Nazarovets, S. (2026) · Accountability in Research

Ethics and Social Impacts of AIAcademic integrity and plagiarism

Cited by 70

Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making

Tolmeijer, S., Christen, M., Kandul, S., Kneer, M., & Bernstein, A. (2022) · CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 70

On the Hardness of Distinguishing Mixed-State Quantum Computations

Rosgen, B., & Watrous, J. (2005) · 20th Annual IEEE Conference on Computational Complexity (CCC'05)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 70

B-FICA: BlockChain based Framework for Auto-Insurance Claim and Adjudication

Oham, C., Jurdak, R., Kanhere, S. S., Dorri, A., & Jha, S. (2018) · 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

Blockchain Technology Applications and SecurityVehicular Ad Hoc Networks (VANETs)

Cited by 70

Computational Thinking and Robotics: A Teaching Experience in Compulsory Secondary Education with Students with High Degree of Apathy and Demotivation

Díaz-Lauzurica, B., & Moreno-Salinas, D. (2019) · Sustainability

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 70

Exploring the psychology of LLMs’ moral and legal reasoning

Almeida, G. F. C. F., Nunes, J. L., Engelmann, N., Wiegmann, A., & Araújo, M. D. (2024) · Artificial Intelligence

Ethics and Social Impacts of AIPsychology of Moral and Emotional Judgment

Cited by 70

The Effects of an Interactive Software Agent on Student Affective Dynamics while Using ;an Intelligent Tutoring System

Rodrigo, M. M. T., Baker, R. S. J. D., Agapito, J., Nabos, J., Repalam, M. C., Reyes, S. S., & San Pedro, M. O. C. Z. (2012) · IEEE Transactions on Affective Computing

Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI

Cited by 70

Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions

Raman, N., Cao, M., Tsvetkov, Y., Kästner, C., & Vasilescu, B. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: New Ideas and Emerging Results

Open Source Software InnovationsSoftware Engineering Research

Cited by 70

Algorithmic bias in clinical populations: evaluating and improving facial analysis technology in older adults with dementia

Taati, B., Zhao, S., Ashraf, A. B., Asgarian, A., Browne, M. E., Prkachin, K. M., Mihailidis, A., & Hadjistavropoulos, T. (2019) · IEEE Access

Face recognition and analysisEmotion and Mood Recognition

Cited by 70

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation

Pang, B., Nijkamp, E., Han, W., Zhou, L., Liu, Y., & Tu, K. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsTopic Modeling

Cited by 70

A General Recurrent Tracking Framework without Real Data

Wang, S., Sheng, H., Zhang, Y., Wu, Y., & Xiong, Z. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 70

Design and Evaluation of Explainable BDI Agents

Harbers, M., van den Bosch, K., & Meyer, J.-J. (2010) · 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

Explainable Artificial Intelligence (XAI)Multi-Agent Systems and Negotiation

Cited by 70

Computing Accurate Correspondences across Groups of Images

Cootes, T. F., Twining, C. J., Petrovic, V. S., Babalola, K. O., & Taylor, C. J. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesAdvanced Vision and Imaging

Cited by 70

Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks

Sridar, P., Kumar, A., Quinton, A., Nanan, R., Kim, J., & Krishnakumar, R. (2019) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 70

Machine Unlearning for Random Forests

Brophy, J., & Lowd, D. (2020) · arXiv

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 70

Learning gain differences between ChatGPT and human tutor generated algebra hints

Pardos, Z. A., & Bhandari, S. (2023) · arXiv

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 70

Nature-inspired framework for hyperspectral band selection

Nakamura, R. Y. M., Fonseca, L. M. G., Santos, J. A. D., Torres, R. D. S., Yang, X.-S., & Papa, J. P. (2014) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationSpectroscopy and Chemometric Analyses

Cited by 70

Vertical accuracy evaluation of freely available latest high-resolution (30 m) global digital elevation models over Cameroon (Central Africa) with GPS/leveling ground control points.

Yap, L., Kandé, L. H., Nouayou, R., Kamguia, J., Ngouh, N. A., & Makuate, M. B. (2019) · International Journal of Digital Earth

Satellite Image Processing and PhotogrammetryGNSS positioning and interference

Cited by 70

Benchmarking Cognitive Biases in Large Language Models as Evaluators

Koo, R., Lee, M., Raheja, V., Park, J. I., Kim, Z. M., & Kang, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 70

Fair Algorithms for Learning in Allocation Problems

Elzayn, H., Jabbari, S., Jung, C., Kearns, M., Neel, S., Roth, A., & Schutzman, Z. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 70

Monkeying around with the gorillas in our midst: familiarity with an inattentional-blindness task does not improve the detection of unexpected events

Simons, D. J. (2010) · i-Perception

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 70

Emergence of analogy from relation learning

Lu, H., Wu, Y. N., & Holyoak, K. J. (2019) · Proceedings of the National Academy of Sciences

Topic ModelingCategorization, perception, and language

Cited by 70