Most cited computer science papers
- Verified
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Mansoor, H., Ali, S., Alam, S., Khan, M. A., Ul Hassan, U., & Khan, I. (2022) · 2022 IEEE International Conference on Big Data (Big Data)
Ethics and Social Impacts of AIAdvanced Graph Neural Networks
Cited by 6
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CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
Liu, X., Paul, S., Chatterjee, M., & Cherian, A. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence
Reinforcement Learning in RoboticsSpeech and dialogue systems
Cited by 6
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Cuantificando opiniones expresadas en tweets durante las Elecciones Presidenciales Ecuatorianas del 2021 por medio del Análisis de Sentimiento
López Fierro, S., & Pacheco Villamar, R. (2021) · Ecuadorian Science Journal
Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods
Cited by 6
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Splitwise: Efficient generative LLM inference using phase splitting
Patel, P., Choukse, E., Zhang, C., Shah, A., Goiri, Í., Maleki, S., & Bianchini, R. (2023) · arXiv
Parallel Computing and Optimization TechniquesCloud Computing and Resource Management
Cited by 6
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Introducing quality measures in an academic research consortium: Lessons and recommendation from implementing an ad hoc quality management system for organ model research
Hülsemann, M., Wiebach, J., Drude, N. I., Kniffert, S., Behm, L., Hönzke, K., Baumgardt, M., Hippenstiel, S., Hocke, A. C., Dirnagl, U., et al. (2022) · The EMBO Reports
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 6
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A Performance comparison of feature detectors for planetary rover mapping and localization
Wan, W., Peng, M., Xing, Y., Wang, Y., Liu, Z., Di, K., Teng, B., Mao, X., Zhao, Q., Xin, X., et al. (2017) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques
Cited by 6
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Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding
Li, Y., Wang, D., Liang, J., Jiang, G., He, Q., Xiao, Y., & Yang, D. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 6
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White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
Wan, Y., & Chang, K.-W. (2024) · arXiv
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 6
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A client-side anti-pharming (CSAP) approach
Arya, B., & Chandrasekaran, K. (2016) · 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)
Spam and Phishing DetectionNetwork Security and Intrusion Detection
Cited by 6
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Agents of Chaos
Shapira, N., Wendler, C., Yen, A., Sarti, G., Pal, K., Floody, O., Belfki, A., Loftus, A., Jannali, A. R., Prakash, N., et al. (2026) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 6
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Accurate retrieval of region of interest for estimating point spread function and image deblurring
Mohd Shapri, A. H., & Abdullah, M. Z. (2017) · The Imaging Science Journal
Advanced Image Processing TechniquesImage Processing Techniques and Applications
Cited by 6
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Explainability via Interactivity? Supporting Nonexperts’ Sensemaking of pre-trained CNN by Interacting with Their Daily Surroundings
Wang, C., & An, P. (2021) · Extended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 6
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Towards an international standard to establish trust in media production, distribution and consumption
Temmermans, F., Caldwell, S., Papadopoulos, S., Pereira, F., & Rixhon, P. (2023) · 2023 24th International Conference on Digital Signal Processing (DSP)
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 6
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HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract)
Liu, J., Zhu, G., & Du, F. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Neural Network ApplicationsMultimodal Machine Learning Applications
Cited by 6
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Towards User-Generalizable Wearable-Sensor-Based Human Activity Recognition: A Multi-Task Contrastive Learning Approach
Guo, P., & Nakayama, M. (2025) · Sensors
Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning
Cited by 6
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Enhancing consumers’ willingness to repair electronic products: How design can nudge sustainable behaviour
van den Berge, R., Magnier, L., & Mugge, R. (2022) · Proceedings of DRS
Innovative Human-Technology InteractionSustainable Design and Development
Cited by 6
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OmniSVG: A Unified Scalable Vector Graphics Generation Model
Yang, Y., Cheng, W., Chen, S., Zeng, X., Yin, F., Zhang, J., Wang, L., Yu, G., Ma, X., & Jiang, Y.-G. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 6
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The Impoverished Publicness of Algorithmic Decision Making
Frost, N. (2024) · Oxford Journal of Legal Studies
Ethics and Social Impacts of AIAdministrative Law and Governance
Cited by 6
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Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
Xiang, Y., Yan, H., Gui, L., & He, Y. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 6
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From Autonomous Agents to Integrated Systems, A New Paradigm: Orchestrated Distributed Intelligence
Tallam, K. (2025) · arXiv
Multi-Agent Systems and NegotiationArtificial Intelligence Applications
Cited by 6
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Signal or Noise? Evaluating Commonly Used Attribution Methods for Explaining Deep Neural Networks in Electrocardiogram Classification
Arends, B. K. O., van Amsterdam, W. A. C., van der Harst, P., van Smeden, M., van Es, R., & van de Leur, R. R. (2026) · European Heart Journal - Digital Health
Explainable Artificial Intelligence (XAI)ECG Monitoring and Analysis
Cited by 6
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Good AI for the Present of Humanity Democratizing AI Governance
Corrêa, N., & Fernandes de Oliveira, N. (2021) · AI Ethics Journal
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 6
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SpeechNet: A Universal Modularized Model for Speech Processing Tasks
Chen, Y.-C., Chi, P.-H., Yang, S.-W., Chang, K.-W., Lin, J.-H., Huang, S.-F., Liu, D.-R., Liu, C.-L., Lee, C.-K., & Lee, H.-Y. (2021) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 6
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The pitfalls of next-token prediction
Bachmann, G., & Nagarajan, V. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 6
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