Check computer science papers: citations, claims and retractions

Parallel quantum simulation of large systems on small NISQ computers

Barratt, F., Dborin, J., Bal, M., Stojevic, V., Pollmann, F., & Green, A. G. (2021) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 111

Are automatically-detected code anomalies relevant to architectural modularity?: an exploratory analysis of evolving systems

Macia, I., Garcia, J., Popescu, D., Garcia, A., Medvidovic, N., & von Staa, A. (2012) · Proceedings of the 11th annual international conference on Aspect-oriented Software Development

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 111

An Efficient Chaotic Image Cryptosystem Based on Simultaneous Permutation and Diffusion Operations

Diab, H. (2018) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 111

Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution

Qayyum, A., Ahmad, J., Boulila, W., Rubaiee, S., Arshad, Masood, F., Khan, F., & Buchanan, W. J. (2020) · IEEE Access

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 111

Algorithmic consumer culture

Airoldi, M., & Rokka, J. (2022) · Consumption Markets & Culture

Ethics and Social Impacts of AIDigital Marketing and Social Media

Cited by 111

CNN based semantic segmentation for urban traffic scenes using fisheye camera

Deng, L., Yang, M., Qian, Y., Wang, C., & Wang, B. (2017) · 2017 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 111

Deep convolutional pooling transformer for deepfake detection

Wang, T., Cheng, H., Chow, K. P., & Nie, L. (2023) · ACM Transactions on Multimedia Computing, Communications, and Applications

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 111

What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness

Andrus, M., Spitzer, E., Brown, J., & Xiang, A. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 111

Fine-tune Bert for DocRED with Two-step Process

Wang, H., Focke, C., Sylvester, R., Mishra, N., & Wang, W. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 111

Constant overhead quantum fault tolerance with quantum expander codes

Fawzi, O., Grospellier, A., & Leverrier, A. (2021) · Communications of the ACM

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 111

A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government

Sætra, H. S. (2020) · Technology in Society

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 111

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures

Vilnis, L., Li, X., Murty, S., & McCallum, A. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Advanced Graph Neural NetworksTopic Modeling

Cited by 111

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

Li, Y., Huang, X., Li, J., Du, M., & Zou, N. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Anomaly Detection Techniques and ApplicationsAdvanced Graph Neural Networks

Cited by 111

Open-Ended Evolution: Perspectives from the OEE Workshop in York

Taylor, T., Bedau, M., Channon, A., Ackley, D., Banzhaf, W., Beslon, G., Dolson, E., Froese, T., Hickinbotham, S., Ikegami, T., et al. (2016) · Artificial Life

Evolutionary Algorithms and ApplicationsComplex Systems and Dynamics

Cited by 111

Gender as a Variable in Natural-Language Processing: Ethical Considerations

Larson, B. (2017) · Proceedings of the First ACL Workshop on Ethics in Natural Language Processing

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 111

Is AI recruiting (un) ethical? A human rights perspective on the use of AI for hiring

Hunkenschroer, A. L., & Kriebitz, A. (2023) · AI and Ethics

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 111

Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration

Kull, M., Silva Filho, T. M., & Flach, P. (2017) · Electronic Journal of Statistics

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 111

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Olsson, H., Kartasalo, K., Mulliqi, N., Capuccini, M., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Lindskog, C., Janssen, E. A. M., Blilie, A., et al. (2022) · Nature Communications

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 111

Hierarchical 3D fully convolutional networks for multi-organ segmentation

Roth, H. R., Oda, H., Hayashi, Y., Oda, M., Shimizu, N., Fujiwara, M., Misawa, K., & Mori, K. (2017) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 111

Towards Unsupervised Image Captioning With Shared Multimodal Embeddings

Laina, I., Rupprecht, C., & Navab, N. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 111

A tourism recommender system based on collaboration and text analysis

LOH, S., LORENZI, F., SALDAÑA, R., & LICTHNOW, D. (2003) · Information Technology & Tourism

Recommender Systems and TechniquesInformation Retrieval and Data Mining

Cited by 111

Self-supervised learning of a facial attribute embedding from video

Wiles, O., Koepke, A. S., & Zisserman, A. (2018) · arXiv

Face recognition and analysisFace and Expression Recognition

Cited by 111

Learning analytics dashboards are increasingly becoming about learning and not just analytics - A systematic review

Paulsen, L., & Lindsay, E. (2024) · Education and Information Technologies

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 111

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Wang, Y., Xue, D., Zhang, S., & Qian, S. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 111