Check computer science papers: citations, claims and retractions

Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals

Elazar, Y., Ravfogel, S., Jacovi, A., & Goldberg, Y. (2021) · Transactions of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 126

A classical approach to the graph isomorphism problem using quantum walks

Douglas, B. L., & Wang, J. B. (2008) · Journal of Physics A: Mathematical and Theoretical

Quantum Computing Algorithms and ArchitectureGraph Theory and Algorithms

Cited by 126

ILP turns 20: Biography and future challenges

Muggleton, S., De Raedt, L., Poole, D., Bratko, I., Flach, P., Inoue, K., & Srinivasan, A. (2012) · Machine Learning

Logic, Reasoning, and KnowledgeData Mining Algorithms and Applications

Cited by 126

A comprehensive survey on federated learning techniques for healthcare informatics

Dasaradharami Reddy, K., & Gadekallu, T. R. (2023) · Computational Intelligence and Neuroscience

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 126

Voice Conversion Challenge 2020 –- Intra-lingual semi-parallel and cross-lingual voice conversion –-

Yi, Z., Huang, W.-C., Tian, X., Yamagishi, J., Das, R. K., Kinnunen, T., Ling, Z.-H., & Toda, T. (2020) · Joint Workshop for the Blizzard Challenge and Voice Conversion Challenge 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 126

Do feelings matter? On the correlation of affects and the self‐assessed productivity in software engineering

Graziotin, D., Wang, X., & Abrahamsson, P. (2015) · Journal of Software: Evolution and Process

Software Engineering Techniques and PracticesEmotion and Mood Recognition

Cited by 126

FairSight: Visual Analytics for Fairness in Decision Making

Ahn, Y., & Lin, Y.-R. (2019) · IEEE Transactions on Visualization and Computer Graphics

Ethics and Social Impacts of AIData Visualization and Analytics

Cited by 126

Generalization bias in large language model summarization of scientific research

Peters, U., & Chin-Yee, B. (2025) · Royal Society Open Science

Topic ModelingEthics and Social Impacts of AI

Cited by 126

Sustainability of Open Source Software Communities Beyond a Fork: How and Why Has the LibreOffice Project Evolved?

Gamalielsson, J., & Lundell, B. (2014) · Journal of Systems and Software

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 125

Inherent Trade-Offs in Algorithmic Fairness

Kleinberg, J. (2018) · Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 125

Algorithms and Taste-Making: Exposing the Netflix Recommender System’s Operational Logics

Pajkovic, N. (2022) · Convergence: The International Journal of Research into New Media Technologies

Recommender Systems and TechniquesMedia and Digital Communication

Cited by 125

Unifying Voxel-based Representation with Transformer for 3D Object Detection

Li, Y., Chen, Y., Qi, X., Li, Z., Sun, J., & Jia, J. (2022) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 125

A Robust GAN-Generated Face Detection Method Based on Dual-Color Spaces and an Improved Xception

Chen, B., Liu, X., Zheng, Y., Zhao, G., & Shi, Y.-Q. (2022) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionFace recognition and analysis

Cited by 125

Efficiently Identifying Task Groupings for Multi-Task Learning

Fifty, C., Amid, E., Zhao, Z., Yu, T., Anil, R., & Finn, C. (2021) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 125

Generative ai for cyber security: Analyzing the potential of chatgpt, dall-e and other models for enhancing the security space

Sai, S., Yashvardhan, U., Chamola, V., & Sikdar, B. (2024) · IEEE Access

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 125

Exploiting Locality in Quantum Computation for Quantum Chemistry

McClean, J. R., Babbush, R., Love, P. J., & Aspuru-Guzik, A. (2014) · The Journal of Physical Chemistry Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 125

Handling Conditional Discrimination

Žliobaite, I., Kamiran, F., & Calders, T. (2011) · 2011 IEEE 11th International Conference on Data Mining

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 125

An effective hop-by-hop Interest shaping mechanism for CCN communications

Rozhnova, N., & Fdida, S. (2012) · 2012 Proceedings IEEE INFOCOM Workshops

Caching and Content DeliveryNetwork Traffic and Congestion Control

Cited by 125

Baichuan 2: Open Large-scale Language Models

Yang, A., Xiao, B., Wang, B., Zhang, B., Bian, C., Yin, C., Lv, C., Pan, D., Wang, D., Yan, D., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 125

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

Tang, X., Yao, H., Sun, Y., Aggarwal, C., Mitra, P., & Wang, S. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 125

Barren Plateaus Preclude Learning Scramblers

Holmes, Z., Arrasmith, A., Yan, B., Coles, P. J., Albrecht, A., & Sornborger, A. T. (2021) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 125

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Yeung, S., Rinaldo, F., Jopling, J., Liu, B., Mehra, R., Downing, N. L., Guo, M., Bianconi, G. M., Alahi, A., Lee, J., et al. (2019) · npj Digital Medicine

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 125

Generation and evaluation of user tailored responses in multimodal dialogue

Walker, M. A., Whittaker, S. J., Stent, A., Maloor, P., Moore, J., Johnston, M., & Vasireddy, G. (2004) · Cognitive Science

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 125

Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition

Deng, J., Xu, X., Zhang, Z., Fruhholz, S., & Schuller, B. (2017) · IEEE Signal Processing Letters

Emotion and Mood RecognitionDomain Adaptation and Few-Shot Learning

Cited by 125