---
title: "Cynthia D Rudin — all 330 works in our library, page 3"
description: "All 330 works of Cynthia D Rudin in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Cynthia D Rudin](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/) / [all works](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/) / page 3

# Cynthia D Rudin — all works

330 works · page 3 of 4 · 201–300 · [← Cynthia D Rudin](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/)

[← prev](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/2/) [1](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/) [2](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/2/) **3** [4](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/4/)

201. **[Embryo Selection by “Black-Box” Artificial Intelligence: The Ethical and Epistemic Considerations ↗](https://doi.org/10.1142/s2661318222740590) Fertility & Reproduction · no summary yet**Yanhe LIU et al.*2022 · 2 citations*
202. **[Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients: A Retrospective Cross-Sectional Study ↗](https://doi.org/10.2139/ssrn.4201406) SSRN Electronic Journal · no summary yet**Harsh Parikh et al.*2022 · 2 citations*
203. **[Prediction uncertainty and optimal experimental design for learning dynamical systems ↗](https://doi.org/10.17615/azht-0z93) Carolina Digital Repository (University of North Carolina at Chapel Hill) · no summary yet**Cynthia D Rudin et al.*2020 · 2 citations*
204. **[Interpretable Almost Matching Exactly for Causal Inference ↗](https://arxiv.org/abs/1806.06802) arXiv (Cornell University) · no summary yet**Yameng Liu et al.*2018 · 2 citations*
205. **[Bayesian Patchworks: An Approach to Case-Based Reasoning ↗](https://arxiv.org/abs/1809.03541) arXiv (Cornell University) · no summary yet**Ramin Moghaddass, Cynthia D Rudin*2018 · 2 citations*
206. **[Learning Cost-Effective and Interpretable Treatment Regimes for Judicial Bail Decisions ↗](https://openalex.org/W3049767819) no summary yet**Himabindu Lakkaraju, Cynthia D Rudin*2016 · 2 citations*
207. **[Open Problem: Does AdaBoost Always Cycle? ↗](https://openalex.org/W2295294028) no summary yet**Cynthia D Rudin, Robert E. Schapire, Ingrid C. Daubechies*2012 · 2 citations*
208. **[Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid. ↗](https://openalex.org/W2398576391) no summary yet**Boyi Xie et al.*2012 · 2 citations*
209. **[A DISCRETE OPTIMIZATION APPROACH TO SUPERVISED RANKING ↗](https://openalex.org/W7098980909) no summary yet**Dimitris Bertsimas, Allison Chang, Cynthia D Rudin*2010 · 2 citations*
210. **[Falling Trees: A Model Class for Interpretable Risk Prioritization ↗](https://arxiv.org/abs/2609.23780) arXiv (Cornell University) · no summary yet**Varun Babbar et al.*2026 · 1 citation*
211. **[Resolving Predictive Multiplicity for the Rashomon Set ↗](https://doi.org/10.1609/aaai.v40i44.41076) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Parian Haghighat, Hadis Anahideh, Cynthia D Rudin*2026 · 1 citation*
212. **[Data-hugging shields proprietary AI models from research that could disprove them ↗](https://doi.org/10.1038/s44387-026-00094-2) npj Artificial Intelligence · no summary yet**Anish Karpurapu et al.*2026 · 1 citation*
213. **[Cosine Similarity is Almost All You Need (for Prototypical-Part Models) ↗](https://doi.org/10.1109/wacv61042.2026.00160) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yet**Luke Moffett et al.*2026 · 1 citation*
214. **[REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees ↗](https://arxiv.org/abs/2603.22750) arXiv (Cornell University) · no summary yet**Simon Nguyen et al.*2026 · 1 citation*
215. **[AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation ↗](https://arxiv.org/abs/2512.18232) arXiv (Cornell University) · no summary yet**Stephen Ni-Hahn et al.*2025 · 1 citation*
216. **[ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis ↗](https://arxiv.org/abs/2510.10249) arXiv (Cornell University) · no summary yet**Stephen Ni-Hahn et al.*2025 · 1 citation*
217. **[A Computational Framework to design 3D stiffness gradient acoustic metamaterials for impedance matching ↗](https://doi.org/10.1016/j.cma.2025.118571) Computer Methods in Applied Mechanics and Engineering · no summary yet**Rayehe Karimi Mahabadi et al.*2025 · 1 citation*
218. **[Leo Breiman, the Rashomon Effect, and the Occam Dilemma ↗](https://arxiv.org/abs/2507.03884) arXiv (Cornell University) · no summary yet**Cynthia D Rudin*2025 · 1 citation*
219. **[Phononic Materials with Effectively Scale-Separated Hierarchical Features Using Interpretable Machine Learning ↗](https://doi.org/10.2139/ssrn.4952222) SSRN Electronic Journal · no summary yet**Mary V. Bastawrous et al.*2024 · 1 citation*
220. **[SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals ↗](https://arxiv.org/abs/2404.17667) arXiv (Cornell University) · no summary yet**Cheng Ding et al.*2024 · 1 citation*
221. **[Testing AI ↗](https://doi.org/10.2139/ssrn.4948789) SSRN Electronic Journal · no summary yet**Brandon L. Garrett, Cynthia D Rudin*2024 · 1 citation*
222. **[FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models ↗](https://doi.org/10.52202/079017-2785) neural information processing systems · no summary yet**Jiachang Liu, Rui Zhang, Cynthia D Rudin*2024 · 1 citation*
223. **[ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges ↗](https://arxiv.org/abs/2312.10056) arXiv (Cornell University) · no summary yet**Tang, Dennis et al.*2023 · 1 citation*
224. **[Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data ↗](https://arxiv.org/abs/2312.10569) arXiv (Cornell University) · no summary yet**Srikar Katta et al.*2023 · 1 citation*
225. **[Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics ↗](https://arxiv.org/abs/2304.01316) arXiv (Cornell University) · no summary yet**Marco Morucci, Cynthia D Rudin, Alexander Volfovsky*2023 · 1 citation*
226. **[Uncertainty Quantification of Bandgaps in Acoustic Metamaterials with Stochastic Geometric Defects and Material Properties ↗](https://arxiv.org/abs/2310.12869) arXiv (Cornell University) · no summary yet**Han Zhang et al.*2023 · 1 citation*
227. **[There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes ↗](https://arxiv.org/abs/2206.04266) arXiv (Cornell University) · no summary yet**Yishay Mansour, Michal Moshkovitz, Cynthia D Rudin*2022 · 1 citation*
228. **[BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales ↗](https://arxiv.org/abs/2109.07623) arXiv (Cornell University) · no summary yet**Zhu, Yunyao et al.*2021 · 1 citation*
229. **[Cryo-ZSSR: multiple-image super-resolution based on deep internal learning ↗](https://arxiv.org/abs/2011.11020) arXiv (Cornell University) · no summary yet**Qinwen Huang et al.*2020 · 1 citation*
230. **[Bandits for BMO Functions ↗](https://arxiv.org/abs/2007.08703) arXiv (Cornell University) · no summary yet**Tianyu Wang, Cynthia D Rudin*2020 · 1 citation*
231. **[Learning Cost-Effective and Interpretable Regimes for Treatment Recommendation ↗](https://arxiv.org/abs/1611.07663) arXiv (Cornell University) · no summary yet**Himabindu Lakkaraju, Cynthia D Rudin*2016 · 1 citation*
232. **[Regulating Greed Over Time in Multi-Armed Bandits ↗](https://arxiv.org/abs/1505.05629) arXiv (Cornell University) · no summary yet**Stefano Tracà, Cynthia D Rudin, Weiyu Yan*2015 · 1 citation*
233. **[Computational Models of Cultural Behavior for Human-Agent Interaction (Dagstuhl Seminar 14,131) ↗](https://openalex.org/W7098510517) no summary yet**Johannes Fürnkranz et al.*2014 · 1 citation*
234. **[The big data newsvendor: Practical insights from machine learning. working paper ↗](https://openalex.org/W7097360578) no summary yet**Cynthia D Rudin et al.*2014 · 1 citation*
235. **[Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge ↗](https://doi.org/10.1007/s10994-014-5478-4) Machine Learning · no summary yet**Theja Tulabandhula, Cynthia D Rudin*2014 · 1 citation*
236. **[Selective Sampling of Labelers for Approximating the Crowd ↗](https://openalex.org/W1567142192) OpenMETU (Middle East Technical University) · no summary yet**Şeyda Ertekin, Haym Hirsh, Cynthia D Rudin*2012 · 1 citation*
237. **[Treatment Effect of Repairs to an Electrical Grid Leveraging a Machine Learned Model of Structure Vulnerability ↗](https://openalex.org/W7097709634) no summary yet**Axinia Radeva et al.*2012 · 1 citation*
238. **[Supplement to “Bayesian hierarchical rule modeling for predicting medical conditions.” DOI:10.1214 ↗](https://openalex.org/W7098588182) no summary yet**H. Mccormick, Cynthia D Rudin, David Madigan*2011 · 1 citation*
239. **[Visualization of manhole and precursor-type events for the Manhattan electrical distribution system ↗](https://openalex.org/W7097191585) no summary yet**Haimonti Dutta et al.*2008 · 1 citation*
240. **[Conditional genome-wide associations reveal novel genes ↗](https://doi.org/10.64898/2026.04.08.717258) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Emily S. Bellis et al.*2026*
241. **[Trustworthy Feature Importance Avoids Unrestricted Permutations ↗](https://arxiv.org/abs/2604.11253) arXiv (Cornell University) · no summary yet**Emanuele Borgonovo et al.*2026*
242. **[FAIR Data and Interpretable AI Framework for Architectured Metamaterials ↗](https://doi.org/10.2172/3029848) no summary yet**L. Catherine Brinson, Duke Univ., Durham, NC (United States), Cynthia D Rudin*2026*
243. **[ArborEnum: Decision Tree Rashomon Sets over Continuous Features ↗](https://arxiv.org/abs/2608.04310) arXiv (Cornell University) · no summary yet**Zakk Heile et al.*2026*
244. **[Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again ↗](https://arxiv.org/abs/2606.30995) arXiv (Cornell University) · no summary yet**Zakk Heile et al.*2026*
245. **[Fine annotation loss and top‑k analysis in interpretable models for breast cancer prediction ↗](https://doi.org/10.1117/12.3087525) SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · no summary yet**Giyoung Kim et al.*2026*
246. **[Interpretable Processing–Structure Relationships in Spirulina Bioplastics through Automated Spectral and Microstructural Analysis ↗](https://doi.org/10.26434/chemrxiv.15008361/v1) ChemRxiv · no summary yet**Kuotian Liao et al.*2026*
247. **[Do Judges Behave like Algorithms? ↗](https://doi.org/10.1609/aies.v9i3.43267) Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yet**Riya Manchanda et al.*2026*
248. **[Sustainable AI: Deployment and Opportunities for Statistical Practice ↗](https://doi.org/10.5281/zenodo.23148548) Zenodo (CERN European Organization for Nuclear Research) · no summary yet**Elizabeth Mannshardt et al.*2026*
249. **[CICADAS: A simulation-based framework for randomized trial emulation in critical-care seizure treatment ↗](https://doi.org/10.1016/j.ibmed.2026.100481) Intelligence-Based Medicine · no summary yet**Mitchell McCauley et al.*2026*
250. **[Applying a Cost-Benefit Analysis to Geofence Searches ↗](https://doi.org/10.2139/ssrn.6068091) SSRN Electronic Journal · no summary yet**Abraham Meltzer, Cynthia D Rudin, Brandon L. Garrett*2026*
251. **[Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods ↗](https://arxiv.org/abs/2607.14123) arXiv (Cornell University) · no summary yet**Michal Moshkovitz et al.*2026*
252. **[Fast Rashomon Sets of Sparse Rule Sets ↗](https://doi.org/10.1007/s10994-026-07108-9) Machine Learning · no summary yet**Cristina Molero-Río et al.*2026*
253. **[The Rashomon Effect for Visualizing High-Dimensional Data ↗](https://arxiv.org/abs/2604.00485) arXiv (Cornell University) · no summary yet**Yiyang Sun et al.*2026*
254. **[CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees ↗](https://arxiv.org/abs/2606.12840) arXiv (Cornell University) · no summary yet**Yixiao Wang et al.*2026*
255. **[Distinct Transcriptomic Profiles in ART-Treated People With HIV Are Associated With NF-κB–Regulated Gene Expression and Inflammatory Cytokine Signatures ↗](https://doi.org/10.1097/qai.0000000000003929) JAIDS Journal of Acquired Immune Deficiency Syndromes · no summary yet**Yingfan Wang et al.*2026*
256. **[Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts ↗](https://arxiv.org/abs/2609.32788) arXiv (Cornell University) · no summary yet**Chao Peter Yang et al.*2026*
257. **[A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data ↗](https://doi.org/10.64898/2026.07.13.26357980) medRxiv · no summary yet**Junhe Yang et al.*2026*
258. **[Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators ↗](https://arxiv.org/abs/2609.08102) arXiv (Cornell University) · no summary yet**Han Zhang et al.*2026*
259. **[The National Artificial Intelligence Advisory Committee (NAIAC)- Recommendation: Expand the AI Use Case Inventory by Limiting the 'Common Commercial Products' Exception ↗](https://doi.org/10.2139/ssrn.5149601) SSRN Electronic Journal · no summary yet**Armando Aguilar et al.*2025*
260. **[The National Artificial Intelligence Advisory Committee (NAIAC)- Recommendation: Field Testing of Law Enforcement AI Tools ↗](https://doi.org/10.2139/ssrn.5252780) SSRN Electronic Journal · no summary yet**Armando Aguilar et al.*2025*
261. **[Discussing a Framework for the Responsible Use of Facial Recognition Technology in Law Enforcement - The National Artificial Intelligence Advisory Committee Law Enforcement Subcommittee (NAIAC-LE Subcommittee) ↗](https://doi.org/10.2139/ssrn.5149595) SSRN Electronic Journal · no summary yet**Jane R. Yakowitz Bambauer et al.*2025*
262. **[The National Artificial Intelligence Advisory Committee (NAIAC)- Recommendation: Require Public Summary Reporting on Use of High-Risk AI ↗](https://doi.org/10.2139/ssrn.5236908) SSRN Electronic Journal · no summary yet**Jane R. Yakowitz Bambauer et al.*2025*
263. **[The National Artificial Intelligence Advisory Committee (NAIAC)- Recommendation: Require Public Use Policies for High-Risk AI ↗](https://doi.org/10.2139/ssrn.5236803) SSRN Electronic Journal · no summary yet**Jane R. Yakowitz Bambauer et al.*2025*
264. **[Revisiting Broken Windows Theory ↗](https://arxiv.org/abs/2509.16490) arXiv (Cornell University) · no summary yet**Ziyao Cui et al.*2025*
265. **[Data Fusion for Partial Identification of Causal Effects ↗](https://doi.org/10.52202/085713-5038) neural information processing systems · no summary yet**Quinn Lanners et al.*2025*
266. **[How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data ↗](https://doi.org/10.1609/aaai.v39i27.35044) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ishaan Maitra et al.*2025*
267. **[What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities ↗](https://arxiv.org/abs/2511.19752) arXiv (Cornell University) · no summary yet**Bahng, Muchang et al.*2025*
268. **[It's LIT! Reliability-Optimized LLMs with Inspectable Tools ↗](https://arxiv.org/abs/2511.14903) arXiv (Cornell University) · no summary yet**Zhang, Ruixin et al.*2025*
269. **[Improving annotation efficiency for fully labeling a breast mass segmentation dataset ↗](https://doi.org/10.1117/1.jmi.12.3.035501) Journal of medical imaging · no summary yet**Vaibhav Sharma et al.*2025*
270. **[This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN ↗](https://doi.org/10.1007/978-3-032-05185-1_59) Lecture notes in computer science · no summary yet**Dennis Tang et al.*2025*
271. **[NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging ↗](https://arxiv.org/abs/2512.18038) arXiv (Cornell University) · no summary yet**Fakrul Islam Tushar et al.*2025*
272. **[NF-κB dependent gene expression and plasma IL-1β, TNFα and GCSF drive transcriptomic diversity and CD4:CD8 ratio in people with HIV on ART ↗](https://doi.org/10.1101/2025.02.14.638232) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Yingfan Wang et al.*2025*
273. **[Models That Are Interpretable But Not Transparent ↗](https://arxiv.org/abs/2502.19502) arXiv (Cornell University) · no summary yet**Chudi Zhong, Chen, Panyu, Cynthia D Rudin*2025*
274. **["What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts ↗](https://arxiv.org/abs/2403.05652) arXiv (Cornell University) · no summary yet**Varun Babbar, Zhicheng Guo, Cynthia D Rudin*2024*
275. **[Data Poisoning Attacks on Off-Policy Policy Evaluation Methods ↗](https://arxiv.org/abs/2404.04714) arXiv (Cornell University) · no summary yet**Elita Lobo et al.*2024*
276. **[A robust framework for the generation of random metamaterials based on a graph algorithm ↗](https://doi.org/10.1117/12.3028931) Metamaterials, Metadevices, and Metasystems · no summary yet**Rayehe Karimi Mahabadi et al.*2024*
277. **[Interpretable deep learning in medical imaging ↗](https://doi.org/10.1117/12.3016192) SPIE Medical Imaging: Computer-Aided Diagnosis · no summary yet**Cynthia D Rudin*2024*
278. **[Improving Decision Sparsity ↗](https://doi.org/10.52202/079017-0827) neural information processing systems · no summary yet**Yiyang Sun, Tong Wang, Cynthia D Rudin*2024*
279. **[Reconsideration on evaluation of machine learning models in continuous monitoring using wearables ↗](https://arxiv.org/abs/2312.02300) arXiv (Cornell University) · no summary yet**Cheng Ding et al.*2023*
280. **[Safe and Interpretable Estimation of Optimal Treatment Regimes ↗](https://arxiv.org/abs/2310.15333) arXiv (Cornell University) · no summary yet**Harsh Parikh et al.*2023*
281. **[Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning ↗](https://doi.org/10.2139/ssrn.4425760) SSRN Electronic Journal · no summary yet**Jacob Peloquin et al.*2023*
282. **[Understanding How Dimension Reduction Tools Work ↗](https://doi.org/10.11159/icsta23.003) Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA ...) · no summary yet**Cynthia D Rudin*2023*
283. **[Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design ↗](https://arxiv.org/abs/2210.06825) PubMed · no summary yet**Ali Behrouz et al.*2022*
284. **[Why Interpretable Causal Inference is Important for High-Stakes Medical Decision Making in Neurology and How to Do it ↗](https://doi.org/10.2139/ssrn.4066419) SSRN Electronic Journal · no summary yet**Harsh Parikh et al.*2022*
285. **[Collaborative Research: Framework: Data: HDR: Nanocomposites to Metamaterials: A Knowledge Graph Framework ↗](https://doi.org/10.5281/zenodo.6840577) Zenodo (CERN European Organization for Nuclear Research) · no summary yet**Linda S. Schadler et al.*2022*
286. **[Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms ↗](https://doi.org/10.1287/ijds.2021.0001) INFORMS Journal on Data Science · no summary yet**Siong Thye Goh, Lesia Semenova, Cynthia D Rudin*2021*
287. **[Interpretable Matching for Causal Inference R package FLAME version 2.1.0 ↗](https://openalex.org/W3181121819) no summary yet**Vittorio Orlandi et al.*2021*
288. **[Matching Bounds: How Choice of Matching Algorithm Impacts Treatment Effects Estimates and What to Do About It. ↗](https://doi.org/10.1086/739962) The Journal of Politics · no summary yet**Marco Morucci, Cynthia D Rudin*2020*
289. **[Interpretable Matching for Causal Inference R package FLAME version 2.0.0 ↗](https://openalex.org/W3097594249) no summary yet**Vittorio Orlandi et al.*2020*
290. **[Foundations of Sequential Learning ↗](https://openalex.org/W2789134893) no summary yet**Ronald Parr, Kamesh Munagala, Cynthia D Rudin*2018*
291. **[Pre-trial Risk Analysis ↗](https://openalex.org/W2961810631) no summary yet**Cynthia D Rudin, Kristin Bechtel, Stuart Buck*2018*
292. **[A Practical Risk Score for EEG Seizures in Hospitalized Patients (S11.002) ↗](https://doi.org/10.1212/wnl.90.15_supplement.s11.002) Neurology · no summary yet**Aaron F. Struck et al.*2018*
293. **[O4‐12‐03: Using the Digital Clock Drawing Test and Machine Learning to Improve Accuracy of Cognitive Screening ↗](https://doi.org/10.1016/j.jalz.2016.06.674) Alzheimer s & Dementia · no summary yet**William Souillard‐Mandar et al.*2016*
294. **[TD‐P‐003: Using the Digital Clock Drawing Test and Machine Learning to Improve Accuracy of Cognitive Screening ↗](https://doi.org/10.1016/j.jalz.2016.06.249) Alzheimer s & Dementia · no summary yet**William Souillard‐Mandar et al.*2016*
295. **[1 The Rate of Convergence of AdaBoost The Rate of Convergence of AdaBoost ↗](https://openalex.org/W7099805841) no summary yet**Indraneel Mukherjee, Cynthia D Rudin, Robert E. Schapire*2016*
296. **[解釈可能分類のためのBayesルール集合【Powered by NICT】 ↗](https://openalex.org/W2749370090) IEEE Conference Proceedings · no summary yet**Wang Tong et al.*2016*
297. **[Cascaded High Dimensional Histograms: A Generative Approach to Density Estimation ↗](https://arxiv.org/abs/1510.06779) arXiv (Cornell University) · no summary yet**Siong Thye Goh, Cynthia D Rudin*2015*
298. **[Report Cards for Manholes ↗](https://openalex.org/W7100252519) no summary yet**Axinia Radeva et al.*2015*
299. **[Approximating the crowd · Aggregating opinions ↗](https://openalex.org/W7100056896) no summary yet**Cynthia D Rudin et al.*2015*
300. **[Systems at Columbia University ↗](https://openalex.org/W7097496778) no summary yet**Cynthia D Rudin et al.*2015*

[← prev](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/2/) [1](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/) [2](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/2/) **3** [4](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/4/)