世界模型 - arXivDaily 专题

2101.04086 2022-01-11 cs.LG cs.AI 50%

System Design for a Data-driven and Explainable Customer Sentiment Monitor

An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Bjoern Eskofier

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Journal ref IEEE Access 9 (2021): 117140-117152

2201.02058 2022-01-07 cs.LG cs.CL 50%

Sales Time Series Analytics Using Deep Q-Learning

Bohdan M. Pavlyshenko

专题命中通用世界模型：environment model(abstract)；分类 cs.LG

2105.01159 2022-01-03 cs.AI cs.LG 50%

Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks

Farnaz H. Foomani, D. M. Anisuzzaman, Jeffrey Niezgoda, Jonathan Niezgoda, William Guns, Sandeep Gopalakrishnan, Zeyun Yu

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 20 pages, 5 figures, 5 tables

2112.09668 2021-12-20 cs.LG cs.AI cs.CV 50%

Deep Learning for Spatiotemporal Modeling of Urbanization

Tang Li, Jing Gao, Xi Peng

专题命中通用世界模型：分类 cs.AI、cs.LG、cs.CV；predictive model(abstract)

Comments Accepted by NeurIPS 2021 MLPH (Machine Learning in Public Health) Workshop; Best Paper Awarded by NeurIPS 2021 MLPH (Machine Learning in Public Health) Workshop

2106.04751 2021-12-07 cs.LG cs.AI 50%

Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction

Chang Lu, Chandan K. Reddy, Yue Ning

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments \c{opyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

2109.06711 2021-11-30 cs.LG cs.AI 50%

COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification

Audrey Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 5 pages

2111.00592 2021-11-02 cs.LG cs.AI 50%

Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

Yiqing Zhao, Yuan Luo

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2001.07417 2021-10-14 cs.LG cs.AI stat.ML 50%

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach

Carlos Fernández-Loría, Foster Provost, Xintian Han

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2110.02197 2021-10-06 cs.LG cs.CV stat.ML 50%

$Δ$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization

Rushil Anirudh, Jayaraman J. Thiagarajan

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2102.03858 2021-10-06 cs.CV cs.LG 50%

Damage detection using in-domain and cross-domain transfer learning

Zaharah A. Bukhsh, Nils Jansen, Aaqib Saeed

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

Comments 16 pages, 8 figures, 7 tables

Journal ref Neural Comput & Applic (2021)

2110.00998 2021-10-05 cs.LG cs.AI cs.CL cs.NE 50%

Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data

Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments This podium abstract was peer-reviewed and accepted in 2018, and presented at Medinfo-2019 in Leon France in August 2019

2107.08697 2021-10-01 cs.LG cs.AI 50%

DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach

Chihcheng Hsieh, Catarina Moreira, Chun Ouyang

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Journal ref Proceedings of the 3rd International Conference on Process Mining, 2021 (ICPM2021)

2109.10266 2021-09-22 cs.LG cs.CV eess.IV 50%

Comparison of single and multitask learning for predicting cognitive decline based on MRI data

Vandad Imani, Mithilesh Prakash, Marzieh Zare, Jussi Tohka

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2010.10343 2021-09-16 cs.LG cs.AI cs.DB 50%

Provenance Graph Kernel

David Kohan Marzagão, Trung Dong Huynh, Ayah Helal, Sean Baccas, Luc Moreau

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 14 pages

2109.06139 2021-09-14 cs.LG cs.AI cs.NE 50%

Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy

Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 10 Pages, 8 Figues, 4 Tables. The 7th International Conference on Health Informatics & Medical Systems

2109.03069 2021-09-08 cs.LG cs.AI 50%

Sequential Diagnosis Prediction with Transformer and Ontological Representation

Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 10 pages, 5 figures, Accepted by IEEE ICDM 2021. arXiv admin note: text overlap with arXiv:2107.09288

2109.02439 2021-09-07 cs.LG cs.CV eess.IV 50%

Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study

Joy Tzung-yu Wu, Miguel Ángel Armengol de la Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

2109.00693 2021-09-03 cs.CV cs.AI 50%

AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification

Nan Xu, Junyan Wang, Yuan Tian, Ruike Zhang, Wenji Mao

专题命中通用世界模型：分类 cs.AI、cs.CV；predictive model(abstract)；predictive models(abstract)

2108.13518 2021-09-01 cs.LG cs.AI 50%

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kıcıman

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments Presented at ICML 2021 Workshop on the Neglected Assumptions in Causal Inference(NACI)

2108.13051 2021-08-31 cs.LG cs.AI 50%

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko Salaris, Céline Hudelot, Marco Domenico Santambrogio

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments 5 pages, IEEE BioCAS 2021

2108.11894 2021-08-27 astro-ph.EP astro-ph.IM cs.AI cs.LG cs.NA math.NA 50%

Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides

Ming Zhong, Jason Miller, Mauro Maggioni

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2108.03013 2021-08-09 cs.AI cs.LG cs.SE 50%

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery

Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2010.03118 2021-07-21 cs.RO 50%

Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Zhiyu Huang, Jingda Wu, Chen Lv

专题命中通用世界模型：environment model(abstract)；分类 cs.RO

2105.06005 2021-07-15 eess.SY cs.RO cs.SY 50%

Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments

Charlott Vallon, Francesco Borrelli

专题命中通用世界模型：environment model(abstract)；分类 cs.RO

Comments arXiv admin note: substantial text overlap with arXiv:2005.05948

2102.13620 2021-07-14 cs.LG cs.AI 50%

Towards Robust and Reliable Algorithmic Recourse

Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2107.05531 2021-07-13 cs.RO 50%

Shared Control for Bimanual Telesurgery with Optimized Robotic Partner

Ziwei Wang, Yanpei Huang, Xiaoxiao Cheng, Pakorn Uttayopas, Etienne Burdet

专题命中通用世界模型：environment model(abstract)；分类 cs.RO

2107.04974 2021-07-13 cs.LG cs.CV cs.GR 50%

Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates

Rose McDonald, Boris Kovalerchuk

专题命中通用世界模型：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

Comments 29 pages, 29 figures, 12 tables

2106.14838 2021-06-29 cs.LG cs.AI 50%

Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning

Matthew Barren, Milos Hauskrecht

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

Comments Accepted at 19th International Conference on Artificial Intelligence in Medicine (AIME 2021)

2012.11788 2021-06-29 cs.LG cs.AI 50%

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2106.13314 2021-06-28 cs.LG cs.AI 50%

Promises and Pitfalls of Black-Box Concept Learning Models

Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan

专题命中通用世界模型：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

1. 通用世界模型 4335 篇

System Design for a Data-driven and Explainable Customer Sentiment Monitor

Sales Time Series Analytics Using Deep Q-Learning

Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks

Deep Learning for Spatiotemporal Modeling of Urbanization

Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction

COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification

Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach

$Δ$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization

Damage detection using in-domain and cross-domain transfer learning

Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data

DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach

Comparison of single and multitask learning for predicting cognitive decline based on MRI data

Provenance Graph Kernel

Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy

Sequential Diagnosis Prediction with Transformer and Ontological Representation

Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study

AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery

Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments

Towards Robust and Reliable Algorithmic Recourse

Shared Control for Bimanual Telesurgery with Optimized Robotic Partner

Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates

Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

Promises and Pitfalls of Black-Box Concept Learning Models