| TigerAware: An innovative mobile survey and sensor data collection and analytics system W Morrison, L Guerdan, J Kanugo, T Trull, Y Shang 2018 IEEE third international conference on Data Science in Cyberspace (DSC …, 2018 | 32 | 2018 |
| Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making L Guerdan, A Coston, ZS Wu, K Holstein Proceedings of the 2023 Conference on Fairness, Accountability, and …, 2023 | 23 | 2023 |
| Salience biased loss for object detection in aerial images P Sun, G Chen, G Luke, Y Shang arXiv preprint arXiv:1810.08103, 2018 | 17 | 2018 |
| Counterfactual Prediction Under Outcome Measurement Error L Guerdan, A Coston, K Holstein, ZS Wu 🏆 Proceedings of the 2023 Conference on Fairness, Accountability, and …, 2023 | 16 | 2023 |
| Toward affective XAI: facial affect analysis for understanding explainable human-ai interactions L Guerdan, A Raymond, H Gunes Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
| Ada-automatic detection of alcohol usage for mobile ambulatory assessment P Sun, NM Wergeles, C Zhang, LM Guerdan, T Trull, Y Shang 2016 IEEE International Conference on smart computing (SMARTCOMP), 1-5, 2016 | 13 | 2016 |
| Deep learning vs. classical machine learning: A comparison of methods for fluid intelligence prediction L Guerdan, P Sun, C Rowland, L Harrison, Z Tang, N Wergeles, Y Shang Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 10 | 2019 |
| Training towards critical use: Learning to situate ai predictions relative to human knowledge A Kawakami, L Guerdan, Y Cheng, K Glazko, M Lee, S Carter, N Arechiga, ... Proceedings of The ACM Collective Intelligence Conference, 63-78, 2023 | 8 | 2023 |
| Towards a Learner-Centered Explainable AI: Lessons from the learning sciences A Kawakami, L Guerdan, Y Cheng, A Sun, A Hu, K Glazko, N Arechiga, ... arXiv preprint arXiv:2212.05588, 2022 | 6 | 2022 |
| Federated Continual Learning for Socially Aware Robotics L Guerdan, H Gunes 2023 32nd IEEE International Conference on Robot and Human Interactive …, 2023 | 5* | 2023 |
| Augmented resource allocation framework for disaster response coordination in mobile cloud environments L Guerdan, O Apperson, P Calyam 2017 5th IEEE International Conference on Mobile Cloud Computing, Services …, 2017 | 5 | 2017 |
| Extracting motion-related subspaces from EEG in mobile brain/body imaging studies using source power comodulation L Gehrke, L Guerdan, K Gramann 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 344-347, 2019 | 4 | 2019 |
| Causal-HRI: Causal Learning for Human-Robot Interaction J Cheong, N Churamani, L Guerdan, TE Lee, Z Han, H Gunes Companion of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | 3 | 2024 |
| Real-time geotracking and cataloging of mass casualty incident markers in a search and rescue training simulation: Pilot study K Park, K Meiss, L Guerdan, E Cheng, J Burchard, B John Gillis, ... American Journal of Disaster Medicine 14 (2), 89-95, 2019 | 1 | 2019 |
| Predictive Performance Comparison of Decision Policies Under Confounding L Guerdan, A Coston, K Holstein, ZS Wu arXiv preprint arXiv:2404.00848, 2024 | | 2024 |
| Zhicheng Tang, Nickolas Wergeles, and Yi Shang University of Missouri-Columbia, Columbia, MO 65021, USA {1mg4n8, ps793, carfzf, lkh6yb, zt253, wergelesn, shangy}@ missouri. edu L Guerdan, P Sun, C Rowland, L Harrison Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | | 2019 |
Kenneth HolsteinCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
