Check computer science papers: citations, claims and retractions

Generative Models of Visually Grounded Imagination

Vedantam, R., Fischer, I., Huang, J., & Murphy, K. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 81

Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization

Fan, M., Yang, X., Yu, T., Liao, Q. V., & Zhao, J. (2022) · Proceedings of the ACM on Human-Computer Interaction

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 81

The Use of Augmented Reality Technology for Primary School Education in Perlis, Malaysia

Bistaman, I. N. M., Idrus, S. Z. S., & Rashid, S. A. (2018) · Journal of Physics: Conference Series

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 81

Whole slide images for primary diagnostics in dermatopathology: A feasibility study

Al-Janabi, S., Huisman, A., Vink, A., Leguit, R. J., Offerhaus, G. J. A., ten Kate, F. J. W., van Dijk, M. R., & van Diest, P. J. (2012) · Journal of Clinical Pathology

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 81

A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices

Tsukada, M., Kondo, M., & Matsutani, H. (2020) · IEEE Transactions on Computers

Anomaly Detection Techniques and ApplicationsIoT and Edge/Fog Computing

Cited by 81

Open Source Software: The New Intellectual Property Paradigm

Maurer, S., & Scotchmer, S. (2006) · NBER Working Paper No. 12148

Open Source Software InnovationsDigital Platforms and Economics

Cited by 81

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Yang, L., Zhang, S., Qin, L., Li, Y., Wang, Y., Liu, H., Wang, J., Xie, X., & Zhang, Y. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 81

Harnessing ICT potential: The adoption and analysis of ICT systems for enhancing the student learning experience

Dawson, S., Heathcote, L., & Poole, G. (2010) · International Journal of Educational Management

Online Learning and AnalyticsDigital Transformation of Higher Education

Cited by 81

RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities

Khosravi, H., Kitto, K., & Williams, J. J. (2019) · arXiv

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 81

Prototyping in industrial software projects-bridging the gap between theory and practice

Lichter, H., Schneider-Hufschmidt, M., & Zullighoven, H. (1994) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesUsability and User Interface Design

Cited by 81

A Surprisingly Robust Trick for the Winograd Schema Challenge

Kocijan, V., Cretu, A.-M., Camburu, O.-M., Yordanov, Y., & Lukasiewicz, T. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 81

Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design Challenges

Cibrian, F. L., Lakes, K. D., Tavakoulnia, A., Guzman, K., Schuck, S., & Hayes, G. R. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionAttention Deficit Hyperactivity Disorder

Cited by 81

Multimodal Learning Analytics: Rationale, Process, Examples, and Direction

Ochoa, X. (2022) · The Handbook of Learning Analytics

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 81

Competency Problems: On Finding and Removing Artifacts in Language Data

Gardner, M., Merrill, W., Dodge, J., Peters, M., Ross, A., Singh, S., & Smith, N. A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 81

Emergent social conventions and collective bias in LLM populations

Ashery, A. F., Aiello, L. M., & Baronchelli, A. (2025) · Science Advances

Ethics and Social Impacts of AIMulti-Agent Systems and Negotiation

Cited by 81

An Image Encryption Scheme Based on DNA Computing and Multiple Chaotic Systems

Samiullah, M., Aslam, W., Nazir, H., Lali, M. I., Shahzad, B., Mufti, M. R., & Afzal, H. (2020) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 81

BookBuddy: Turning Digital Materials Into Interactive Foreign Language Lessons Through a Voice Chatbot

Ruan, S., Willis, A., Xu, Q., Davis, G. M., Jiang, L., Brunskill, E., & Landay, J. A. (2019) · Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale

Intelligent Tutoring Systems and Adaptive LearningSpeech and dialogue systems

Cited by 81

Automated Essay Scoring with Discourse-Aware Neural Models

Nadeem, F., Nguyen, H., Liu, Y., & Ostendorf, M. (2019) · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications

Topic ModelingNatural Language Processing Techniques

Cited by 81

The possibilities and limits of explicable artificial intelligence (XAI) in education: a socio-technical perspective

Farrow, R. (2023) · Learning, Media and Technology

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 81

A measurement-based variational quantum eigensolver

Ferguson, R. R., Dellantonio, L., Jansen, K., Balushi, A. A., Dür, W., & Muschik, C. A. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 81

AI-Synthesized Voice Detection Using Neural Vocoder Artifacts

Sun, C., Jia, S., Hou, S., & Lyu, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 81

Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights

Li, R., Deng, W., Cheng, Y., Yuan, Z., Zhang, J., & Yuan, F. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 81

Image Reconstruction from Bag-of-Visual-Words

Kato, H., & Harada, T. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 81

FILM: Following Instructions in Language with Modular Methods

Min, S. Y., Chaplot, D. S., Ravikumar, P., Bisk, Y., & Salakhutdinov, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 81