Check computer science papers: citations, claims and retractions

Multi Objective Optimization for Sustainable Manufacturing, Application in Turning

Hassine, H., Barkallah, M., & Bellacicco, A. (2015) · International Journal of Simulation Modelling

Advanced Multi-Objective Optimization AlgorithmsAdvanced machining processes and optimization

Cited by 28

The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?

Shevlane, T., & Dafoe, A. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 28

Explainable deep reinforcement learning for portfolio management: an empirical approach

Guan, M., & Liu, X.-Y. (2021) · Proceedings of the Second ACM International Conference on AI in Finance

Explainable Artificial Intelligence (XAI)Stock Market Forecasting Methods

Cited by 28

Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

Cho, S., Weng, C., Kahn, M. G., & Natarajan, K. (2021) · JMIR mHealth and uHealth

Data Quality and ManagementResearch Data Management Practices

Cited by 28

Explaining Explanations to Society

Gilpin, L. H., Testart, C., Fruchter, N., & Adebayo, J. (2019) · arXiv

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

Cited by 28

Wireless sensor networks in the internet of things: review, techniques, challenges, and future directions

Zijie, F., Al-Shareeda, M. A., Saare, M. A., Manickam, S., & Karuppayah, S. (2023) · Indonesian Journal of Electrical Engineering and Computer Science

Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoT

Cited by 28

Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Mindermann, S., Brauner, J., Razzak, M., Sharma, M., Kirsch, A., Xu, W., Höltgen, B., Gomez, A. N., Morisot, A., Farquhar, S., et al. (2022) · arXiv

Machine Learning and Data ClassificationStochastic Gradient Optimization Techniques

Cited by 28

An Extensive Data Processing Pipeline for MIMIC-IV

Gupta, M., Gallamoza, B., Cutrona, N., Dhakal, P., Poulain, R., & Beheshti, R. (2022) · arXiv

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 28

Scaling Laws For Dense Retrieval

Fang, Y., Zhan, J., Ai, Q., Mao, J., Su, W., Chen, J., & Liu, Y. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 28

Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making

Guerdan, L., Coston, A., Wu, Z. S., & Holstein, K. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 28

Documenting Data Production Processes: A Participatory Approach for Data Work

Miceli, M., Yang, T., Alvarado Garcia, A., Posada, J., Wang, S. M., Pohl, M., & Hanna, A. (2022) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 28

BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction

Diaf, A., Korba, A. A., Elislem Karabadji, N., & Ghamri-Doudane, Y. (2024) · GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 28

precision measurement for microsurgical instrument evaluation

Hotraphinyo, L. F., & Riviere, C. N. (2005) · 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Optical measurement and interference techniquesAdvanced Measurement and Detection Methods

Cited by 28

RefineNet: Iterative refinement for accurate object localization

Rajaram, R. N., Ohn-Bar, E., & Trivedi, M. M. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 28

Finding Skill Neurons in Pre-trained Transformer-based Language Models

Wang, X., Wen, K., Zhang, Z., Hou, L., Liu, Z., & Li, J. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 28

Deep Learning Mental Health Dialogue System

Brocki, L., Dyer, G. C., Gładka, A., & Chung, N. C. (2023) · 2023 IEEE International Conference on Big Data and Smart Computing (BigComp)

Speech and dialogue systemsDigital Mental Health Interventions

Cited by 28

Translating intersectionality to fair machine learning in health sciences

Lett, E., & La Cava, W. G. (2023) · Nature Machine Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 28

When Users Assist the Voice Assistants: From Supervision to Failure Resolution

Lahoual, D., & Frejus, M. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsUsability and User Interface Design

Cited by 28

A Neural Network Based Fault Management Scheme for Reliable Image Processing

Biasielli, M., Bolchini, C., Cassano, L., Koyuncu, E., & Miele, A. (2020) · IEEE Transactions on Computers

Distributed systems and fault toleranceRadiation Effects in Electronics

Cited by 28

Virtual Reality exposure therapy in the treatment of public speaking anxiety and social anxiety disorder

Seuling, P. D., Czernin, N. S., & Schiele, M. A. (2024) · Neuroscience Applied

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

Cited by 28

Variational Bayesian Monte Carlo with Noisy Likelihoods

Acerbi, L. (2020) · arXiv

Gaussian Processes and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 28

FC-SLAM: Federated Learning Enhanced Distributed Visual-LiDAR SLAM In Cloud Robotic System

Li, Z., Wang, L., Jiang, L., & Xu, C.-Z. (2019) · 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 28

Building a Birds Eye View: Collaborative Work in Disaster Response

Fischer, J. E., Reeves, S., Rodden, T., Reece, S., Ramchurn, S. D., & Jones, D. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysMilitary Strategy and Technology

Cited by 28

Global and Local Differential Privacy for Collaborative Bandits

Wang, H., Zhao, Q., Wu, Q., Chopra, S., Khaitan, A., & Wang, H. (2020) · Fourteenth ACM Conference on Recommender Systems

Privacy-Preserving Technologies in DataAdvanced Bandit Algorithms Research

Cited by 28