Most cited computer science papers
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Interpretation of Neural Networks Is Fragile
Ghorbani, A., Abid, A., & Zou, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning
Cited by 765
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AI can be sexist and racist — it’s time to make it fair
Zou, J., & Schiebinger, L. (2018) · Nature
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 765
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BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Ben Zaken, E., Goldberg, Y., & Ravfogel, S. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 765
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Creativity support tools: accelerating discovery and innovation
Shneiderman, B. (2007) · Communications of the ACM
Innovative Human-Technology InteractionCreativity in Education and Neuroscience
Cited by 765
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Operational profiles in software-reliability engineering
Musa, J. D. (1993) · IEEE Software
Software Reliability and Analysis ResearchSoftware Testing and Debugging Techniques
Cited by 765
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Adversarially Learned One-Class Classifier for Novelty Detection
Sabokrou, M., Khalooei, M., Fathy, M., & Adeli, E. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning
Cited by 765
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IoT Privacy and Security: Challenges and Solutions
Tawalbeh, L., Muheidat, F., Tawalbeh, M., & Quwaider, M. (2020) · Applied Sciences
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 764
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On the Detection of Digital Face Manipulation
Dang, H., Liu, F., Stehouwer, J., Liu, X., & Jain, A. K. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Digital Media Forensic DetectionFace recognition and analysis
Cited by 764
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Review on Psychological Stress Detection Using Biosignals
Giannakakis, G., Grigoriadis, D., Giannakaki, K., Simantiraki, O., Roniotis, A., & Tsiknakis, M. (2022) · IEEE Transactions on Affective Computing
Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control
Cited by 764
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Taxonomy of Risks posed by Language Models
Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.-S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 764
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Three naive Bayes approaches for discrimination-free classification.
Calders, T., & Verwer, S. (2010) · Data Mining and Knowledge Discovery
Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data
Cited by 764
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AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications
Rashid, A. B., & Kausik, M. A. K. (2024) · Hybrid Advances
Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society
Cited by 764
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · Frontiers in Big Data
Ethics and Social Impacts of AIBig Data Technologies and Applications
Cited by 763
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Gibson Env: Real-World Perception for Embodied Agents
Xia, F., Zamir, A. R., He, Z., Sax, A., Malik, J., & Savarese, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization
Cited by 763
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data
Ethics and Social Impacts of AIBig Data Technologies and Applications
Cited by 763
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A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin
Liu, Y., Zhang, L., Yang, Y., Zhou, L., Ren, L., Wang, F., Liu, R., Pang, Z., & Deen, M. J. (2019) · IEEE Access
Internet of Things and AIDigital Transformation in Industry
Cited by 763
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Accountability in algorithmic decision making
Diakopoulos, N. (2016) · Communications of the ACM
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 763
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Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Dosovitskiy, A., Fischer, P., Springenberg, J. T., Riedmiller, M., & Brox, T. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 762
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Deep Reinforcement Learning: An Overview
Li, Y. (2017) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 762
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Robust log-based anomaly detection on unstable log data
Zhang, X., Xu, Y., Lin, Q., Qiao, B., Zhang, H., Dang, Y., Xie, C., Yang, X., Cheng, Q., Li, Z., et al. (2019) · Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 761
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Bilinear Attention Networks
Kim, J.-H., Jun, J., & Zhang, B.-T. (2018) · arXiv
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 761
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A New Kind of Science
Wolfram, & Gad-el-Hak (2003) · Applied Mechanics Reviews
Cellular Automata and ApplicationsComputability, Logic, AI Algorithms
Cited by 760
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The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions
Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021) · International Journal of Information Management
Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society
Cited by 760
- Verified
Mapping Sub-Second Structure in Mouse Behavior
Wiltschko, A. B., Johnson, M. J., Iurilli, G., Peterson, R. E., Katon, J. M., Pashkovski, S. L., Abraira, V. E., Adams, R. P., & Datta, S. R. (2015) · Neuron
Human Pose and Action RecognitionMemory and Neural Mechanisms
Cited by 760
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