Check computer science papers: citations, claims and retractions

The Landscape and Gaps in Open Source Fairness Toolkits

Lee, M. S. A., & Singh, J. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 129

Partial success in closing the gap between human and machine vision

Geirhos, R., Narayanappa, K., Mitzkus, B., Thieringer, T., Bethge, M., Wichmann, F. A., & Brendel, W. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 129

Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning

Lee, S., Kim, H. G., Hwi Choi, D., Kim, H.-I., & Ro, Y. M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 129

Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study

Tonozuka, R., Itoi, T., Nagata, N., Kojima, H., Sofuni, A., Tsuchiya, T., Ishii, K., Tanaka, R., Nagakawa, Y., & Mukai, S. (2021) · Journal of Hepato-Biliary-Pancreatic Sciences

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 129

Best-of-N Jailbreaking

Hughes, J., Price, S., Lynch, A., Schaeffer, R., Barez, F., Koyejo, S., Sleight, H., Jones, E., Perez, E., & Sharma, M. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 129

Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare

De, D., Bharti, P., Das, S. K., & Chellappan, S. (2015) · IEEE Internet Computing

Context-Aware Activity Recognition SystemsAdvanced Sensor and Energy Harvesting Materials

Cited by 129

Dense and Small Object Detection in UAV Vision Based on Cascade Network

Zhang, X., Izquierdo, E., & Chandramouli, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 129

Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows

Hadfield, C., Bravyi, S., Raymond, R., & Mezzacapo, A. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 129

A scalable distributed architecture towards unifying IoT applications

Sarkar, C., Nambi, S. N. A. U., Prasad, R. V., & Rahim, A. (2014) · 2014 IEEE World Forum on Internet of Things (WF-IoT)

IoT and Edge/Fog ComputingIoT-based Smart Home Systems

Cited by 129

A Holistic Approach to Undesired Content Detection in the Real World

Markov, T., Zhang, C., Agarwal, S., Eloundou, T., Lee, T., Adler, S., Jiang, A., & Weng, L. (2022) · arXiv

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 129

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Delgado, H., Evans, N., Kinnunen, T., Lee, K. A., Liu, X., Nautsch, A., Patino, J., Sahidullah, M., Todisco, M., Wang, X., et al. (2021) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 129

The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness

Ferrara, E. (2023) · Machine Learning with Applications

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 129

Progressive Neural Networks for Transfer Learning in Emotion Recognition

Gideon, J., Khorram, S., Aldeneh, Z., Dimitriadis, D., & Provost, E. M. (2017) · Interspeech 2017

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 129

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Han, Z., Gao, C., Liu, J., Zhang, J., & Zhang, S. Q. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 129

Learning analytics dashboards: the past, the present and the future

Verbert, K., Ochoa, X., De Croon, R., Dourado, R. A., & De Laet, T. (2020) · Proceedings of the Tenth International Conference on Learning Analytics & Knowledge

Online Learning and AnalyticsData Visualization and Analytics

Cited by 129

How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review

Bertrand, A., Belloum, R., Eagan, J. R., & Maxwell, W. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

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

Cited by 129

Shallow Convolutional Neural Networks for Human Activity Recognition Using Wearable Sensors

Huang, W., Zhang, L., Gao, W., Min, F., & He, J. (2021) · IEEE Transactions on Instrumentation and Measurement

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 129

Harmonise: A Step Toward an Interoperable E-Tourism Marketplace

Fodor, O., & Werthner, H. (2005) · International Journal of Electronic Commerce

Semantic Web and OntologiesService-Oriented Architecture and Web Services

Cited by 129

Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics

Opara, C., Chen, Y., & Wei, B. (2024) · Expert Systems with Applications

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 129

Removing leakage-induced correlated errors in superconducting quantum error correction

McEwen, M., Kafri, D., Chen, Z., Atalaya, J., Satzinger, K. J., Quintana, C., Klimov, P. V., Sank, D., Gidney, C., Fowler, A. G., et al. (2021) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 129

Gradient Projection Memory for Continual Learning

Saha, G., Garg, I., & Roy, K. (2021) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 129

Using Quantum Computers for Quantum Simulation

Brown, K. L., Munro, W. J., & Kendon, V. M. (2010) · Entropy

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 129

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges

Hutsebaut-Buysse, M., Mets, K., & Latré, S. (2022) · Machine Learning and Knowledge Extraction

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 129

The Information Architecture of Behavior Change Websites

Danaher, B. G., McKay, H. G., & Seeley, J. R. (2005) · Journal of Medical Internet Research

Information Architecture and UsabilityHealth Literacy and Information Accessibility

Cited by 129