Check computer science papers: citations, claims and retractions

Ill-Conditioning in Neural Network Training Problems

Saarinen, S., Bramley, R., & Cybenko, G. (1993) · SIAM Journal on Scientific Computing

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 141

Face2Exp: Combating Data Biases for Facial Expression Recognition

Zeng, D., Lin, Z., Yan, X., Liu, Y., Wang, F., & Tang, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 141

Interpretation of Natural Language Rules in Conversational Machine Reading

Saeidi, M., Bartolo, M., Lewis, P., Singh, S., Rocktäschel, T., Sheldon, M., Bouchard, G., & Riedel, S. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 141

Mapping the ethics of generative AI: a comprehensive scoping review

Hagendorff, T. (2024) · Minds and Machines

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 141

Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models

Lin, Z., Guan, S., Zhang, W., Zhang, H., Li, Y., & Zhang, H. (2024) · Artificial Intelligence Review

Ethics and Social Impacts of AITopic Modeling

Cited by 141

An Adaptive Optimizer for Measurement-Frugal Variational Algorithms

Kübler, J. M., Arrasmith, A., Cincio, L., & Coles, P. J. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 141

The Debate on the Moral Responsibilities of Online Service Providers

Taddeo, M., & Floridi, L. (2016) · Science and Engineering Ethics

Ethics and Social Impacts of AIFreedom of Expression and Defamation

Cited by 141

Single-session gamified virtual reality exposure therapy for spider phobia vs. traditional exposure therapy: study protocol for a randomized controlled non-inferiority trial

Miloff, A., Lindner, P., Hamilton, W., Reuterskiöld, L., Andersson, G., & Carlbring, P. (2016) · Trials

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 141

Emerging technologies for biological recording

August, T., Harvey, M., Lightfoot, P., Kilbey, D., Papadopoulos, T., & Jepson, P. (2015) · Biological Journal of the Linnean Society

Research Data Management PracticesSpecies Distribution and Climate Change

Cited by 141

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

Li, Z., & Gu, Q. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 141

Hard-to-answer questions about code

LaToza, T. D., & Myers, B. A. (2010) · Evaluation and Usability of Programming Languages and Tools

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 141

Is Chat Gpt biased against conservatives? An empirical study

McGee, R. W. (2023) · SSRN Electronic Journal

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 141

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses

Savelka, J., Agarwal, A., An, M., Bogart, C., & Sakr, M. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research V.1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 141

Visual analytics in urban computing: An overview

Zheng, Y., Wu, W., Chen, Y., Qu, H., & Ni, L. M. (2016) · IEEE Transactions on Big Data

Data Visualization and AnalyticsSmart Cities and Technologies

Cited by 141

Provably Secure Federated Learning against Malicious Clients

Cao, X., Jia, J., & Gong, N. Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 141

EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes

Yang, Y., Wu, Q. M. J., Zheng, W.-L., & Lu, B.-L. (2018) · IEEE Transactions on Cognitive and Developmental Systems

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 141

A Tool for Introducing Computer Science with Automatic Formative Assessment

Benotti, L., Martinez, M. C., & Schapachnik, F. (2018) · IEEE Transactions on Learning Technologies

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 141

Self-supervised Pretraining of Visual Features in the Wild

Goyal, P., Caron, M., Lefaudeux, B., Xu, M., Wang, P., Pai, V., Singh, M., Liptchinsky, V., Misra, I., Joulin, A., et al. (2021) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 141

Constructing Visual Representations: Investigating the Use of Tangible Tokens

Huron, S., Jansen, Y., & Carpendale, S. (2014) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsComputer Graphics and Visualization Techniques

Cited by 141

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks

Khan, R. U., Zhang, X., Alazab, M., & Kumar, R. (2019) · 2019 Cybersecurity and Cyberforensics Conference (CCC)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 141

An algorithm for removing sensitive information: Application to race-independent recidivism prediction

Johndrow, J. E., & Lum, K. (2019) · The Annals of Applied Statistics

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 141

Touch a Screen or Turn a Knob: Choosing the Best Device for the Job

Rogers, W. A., Fisk, A. D., McLaughlin, A. C., & Pak, R. (2005) · Human Factors: The Journal of the Human Factors and Ergonomics Society

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 141

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges

Kleyko, D., Rachkovskij, D., Osipov, E., & Rahimi, A. (2023) · ACM Computing Surveys

Cognitive Computing and NetworksNeural Networks and Applications

Cited by 141

SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets]

Wang, Y., Braham, N. A. A., Xiong, Z., Liu, C., Albrecht, C. M., & Zhu, X. X. (2023) · IEEE Geoscience and Remote Sensing Magazine

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 141