Check computer science papers: citations, claims and retractions

Peripersonal Space and Bodily Self-Consciousness: Implications for Psychological Trauma-Related Disorders

Rabellino, D., Frewen, P. A., McKinnon, M. C., & Lanius, R. A. (2020) · Frontiers in Neuroscience

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 69

Classification of melanocytic lesions in selected and whole-slide images via convolutional neural networks

Hart, S. N., Flotte, W., Norgan, A. F., Shah, K. K., Buchan, Z. R., Mounajjed, T., & Flotte, T. J. (2019) · Journal of Pathology Informatics

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 69

Retrieve and refine: exemplar-based neural comment generation

Wei, B., Li, Y., Li, G., Xia, X., & Jin, Z. (2020) · Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 69

Analysis of eyeblink activity during discriminative tasks.

Fukuda, K. (1994) · Perceptual and Motor Skills

Gaze Tracking and Assistive TechnologyNeural and Behavioral Psychology Studies

Cited by 69

Software documentation: how much is enough?

Briand, L. C. (2003) · Seventh European Conference onSoftware Maintenance and Reengineering, 2003. Proceedings.

Software Engineering ResearchModel-Driven Software Engineering Techniques

Cited by 69

The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms

An, P., Holstein, K., d'Anjou, B., Eggen, B., & Bakker, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Augmented Reality ApplicationsIntelligent Tutoring Systems and Adaptive Learning

Cited by 69

Cloudlet network design optimization

Ceselli, A., Premoli, M., & Secci, S. (2015) · 2015 IFIP Networking Conference (IFIP Networking)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 69

“My child will be respected”: Parental perspectives on computers and education in Rural India

Pal, J., Lakshmanan, M., & Toyama, K. (2009) · Information Systems Frontiers

ICT in Developing CommunitiesEducation in Rural Contexts

Cited by 69

MultiGrain: a unified image embedding for classes and instances

Berman, M., Jégou, H., Vedaldi, A., Kokkinos, I., & Douze, M. (2019) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 69

Adoption of learning analytics in higher education institutions: A systematic literature review

Márquez, L., Henríquez, V., Chevreux, H., Scheihing, E., & Guerra, J. (2024) · British Journal of Educational Technology

Online Learning and AnalyticsBig Data and Business Intelligence

Cited by 69

A Spacecraft Dataset for Detection, Segmentation and Parts Recognition

Dung, H. A., Chen, B., & Chin, T.-J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsSpace Satellite Systems and Control

Cited by 69

Higher-order Structure Based Anomaly Detection on Attributed Networks

Yuan, X., Zhou, N., Yu, S., Huang, H., Chen, Z., & Xia, F. (2021) · 2021 IEEE International Conference on Big Data (Big Data)

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 69

“Engagement vs. performance: using electronic portfolios to predict first semester engineering student retention,”

Aguiar, E., Chawla, N. V., Brockman, J., Ambrose, G. A., & Goodrich, V. (2014) · Proceedings of the Fourth International Conference on Learning Analytics And Knowledge

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 69

Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing

Chen, B., Sun, L., & Han, X. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 69

Do we Really Know What we are Building? Raising Awareness of Potential Sustainability Effects of Software Systems in Requirements Engineering

Duboc, L., Betz, S., Penzenstadler, B., Akinli Kocak, S., Chitchyan, R., Leifler, O., Porras, J., Seyff, N., & Venters, C. C. (2019) · 2019 IEEE 27th International Requirements Engineering Conference (RE)

Software Engineering Techniques and PracticesGreen IT and Sustainability

Cited by 69

Many bioinformatics programming tasks can be automated with ChatGPT

Piccolo, S. R., Denny, P., Luxton-Reilly, A., Payne, S., & Ridge, P. G. (2023) · arXiv

Teaching and Learning ProgrammingGenetics, Bioinformatics, and Biomedical Research

Cited by 69

Better Together? An Evaluation of AI-Supported Code Translation

Weisz, J. D., Muller, M., Ross, S. I., Martinez, F., Houde, S., Agarwal, M., Talamadupula, K., & Richards, J. T. (2022) · 27th International Conference on Intelligent User Interfaces

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 69

Asymptotic analysis for personalized Web search

Volkovich, Y., & Litvak, N. (2010) · Advances in Applied Probability

Information Retrieval and Search BehaviorComplex Network Analysis Techniques

Cited by 69

Generalization of Euler Angles to N -Dimensional Orthogonal Matrices

Hoffman, D. K., Raffenetti, R. C., & Ruedenberg, K. (1972) · Journal of Mathematical Physics

Matrix Theory and AlgorithmsAdvanced Combinatorial Mathematics

Cited by 69

Memory designing using quantum-dot cellular automata: systematic literature review, classification and current trends

Afrooz, S., & Navimipour, N. J. (2017) · Journal of Circuits, Systems and Computers

Quantum-Dot Cellular AutomataCellular Automata and Applications

Cited by 69

Progressively Parsing Interactional Objects for Fine Grained Action Detection

Ni, B., Yang, X., & Gao, S. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 69

Faithfulness Tests for Natural Language Explanations

Atanasova, P., Camburu, O.-M., Lioma, C., Lukasiewicz, T., Simonsen, J. G., & Augenstein, I. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 69

A scoping review on multimodal deep learning in biomedical images and texts

Sun, Z., Lin, M., Zhu, Q., Xie, Q., Wang, F., Lu, Z., & Peng, Y. (2023) · Journal of Biomedical Informatics

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 69

Spontaneous facial expression in unscripted social interactions can be measured automatically

Girard, J. M., Cohn, J. F., Jeni, L. A., Sayette, M. A., & De la Torre, F. (2015) · Behavior Research Methods

Emotion and Mood RecognitionFace recognition and analysis

Cited by 69