Cynthia Rudin
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
2021/03/20 by Cynthia Rudin, Chaofan Chen, Zhi Chen +3 · 1 voice · 13 citations
Computer Science · Mathematics · #cs.LG #stat.ML
- Exploring the Whole Rashomon Set of Sparse Decision Trees
2022/09/16 by Rui Xin, Xin, Rui, Chudi Zhong +9 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Generalized and Scalable Optimal Sparse Decision Trees
2020/06/15 by Jimmy Lin, Chudi Zhong, Lin, Jimmy +7 · 11 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
- Optimal Sparse Decision Trees
2019/04/29 by Xiyang Hu, Cynthia Rudin, Hu, Xiyang +3 · 9 citations
Computer Science · #Data Mining Algorithms and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
2021/03/23 by Alina Jade Barnett, Barnett, Alina Jade, Fides R. Schwartz +11 · 9 citations
Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #I.2.10 #I.2.6 #I.4.9 #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Amazing Things Come From Having Many Good Models
2024/07/05 by Cynthia Rudin, Chudi Zhong, Lesia Semenova +7 · 1 voice · 12 citations
#cs.LG #cs.AI
- Fast Sparse Decision Tree Optimization via Reference Ensembles
2021/12/01 by Hayden McTavish, McTavish, Hayden, Chudi Zhong +11 · 8 citations
Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Advanced Neural Network Applications
- Scalable Bayesian Rule Lists
2016/02/27 by Hongyu Yang, Yang, Hongyu, Cynthia Rudin +3 · 6 citations
Computer Science · #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #Rough Sets and Fuzzy Logic
- Interpretable Image Recognition with Hierarchical Prototypes
2019/06/25 by Peter Hase, Chaofan Chen, Hase, Peter +5 · 9 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques #Adversarial Robustness in Machine Learning
- Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
2023/03/28 by Chudi Zhong, Zhong, Chudi, Zhi Chen +7 · 8 citations
Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI)
- Interpretable Classification Models for Recidivism Prediction
2016/09/05 by Jiaming Zeng, Berk Ustun, Cynthia Rudin · 4 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques
- Optimal Sparse Regression Trees
2022/11/28 by Rui Zhang, Rui Xin, Zhang, Rui +5 · 5 citations
Computer Science · #Machine Learning and Data Classification #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference
- The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
2023/09/24 by Jon Donnelly, Srikar Katta, Donnelly, Jon +5 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metabolomics and Mass Spectrometry Studies
- This Looks Better than That: Better Interpretable Models with ProtoPNeXt
2024/06/20 by Frank Willard, Willard, Frank, Luke Moffett +14 · 5 citations
Decision Sciences · Business, Management and Accounting · Computer Science · #Scientific Computing and Data Management #Business Process Modeling and Analysis #Model-Driven Software Engineering Techniques
- In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
2020/05/08 by Wang, Caroline, Han, Bin, Patel, Bhrij +2 · 2 citations
Social Sciences · #Crime Patterns and Interventions #Artificial Intelligence in Law #Ethics and Social Impacts of AI
- An Interpretable Model with Globally Consistent Explanations for Credit Risk
2018/11/30 by Chaofan Chen, Chen, Chaofan, Kangcheng Lin +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect
2017/10/16 by Tong Wang, Wang, Tong, Cynthia Rudin +1 · 2 citations
Mathematics · Computer Science · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Statistical Methods in Clinical Trials
- Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
2025/03/03 by Jon Donnelly, Zhicheng Guo, Donnelly, Jon +9 · 6 citations
Computer Science · Engineering · #Advanced Data Storage Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence
- Learning to Predict the Wisdom of Crowds
2012/04/16 by Şeyda Ertekin, Ertekin, Seyda, Haym Hirsh +3 · 1 citation
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Social and Information Networks (cs.SI)
- Playing Codenames with Language Graphs and Word Embeddings
2021/05/12 by Divya Koyyalagunta, Koyyalagunta, Divya, Anna Sun +5 · 1 voice
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis
2024/08/13 by Stephen Ni-Hahn, Weihan Xu, Ni-Hahn, Stephen +11 · 3 citations
Engineering · #Artificial Intelligence (cs.AI) #Automated Road and Building Extraction #FOS: Computer and information sciences #Sound (cs.SD)
- Optimal Sparse Survival Trees
2024/01/27 by Rui Zhang, Rui Xin, Zhang, Rui +5 · 1 citation
Computer Science · #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Software Testing and Debugging Techniques
- FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
2024/10/24 by Jiachang Liu, Rui Zhang, Liu, Jiachang +3 · 1 citation
Computer Science · Decision Sciences · Engineering · #Anomaly Detection Techniques and Applications #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Safety Analysis
- Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
2023/12/17 by Srikar Katta, Harsh Parikh, Katta, Srikar +5 · 1 citation
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Methodology (stat.ME) #Signal Processing (eess.SP) #Statistical Methods and Inference #electronic engineering #information engineering