Challenges of Big Data Analysis

7 August 2013

Papers citing "Challenges of Big Data Analysis"

50 / 99 papers shown

Title
Deep Learning for Time Series Forecasting: A Survey X. Kong Zhenghao Chen Weiyao Liu Kaili Ning Lechao Zhang Syauqie Muhammad Marier Yichen Liu Yuhao Chen Feng Xia AI4TS AI4CE 41 3 0 13 Mar 2025
Enhancing Machine Learning Performance through Intelligent Data Quality Assessment: An Unsupervised Data-centric Framework Manal Rahal Bestoun S. Ahmed Gergely Szabados Torgny Fornstedt Jorgen Samuelsson 38 0 0 18 Feb 2025
A systematic data characteristic understanding framework towards physical-sensor big data challenges Zhipeng Ma Bo Nørregaard Jørgensen Z. Ma AI4CE 41 6 0 22 Jan 2025
Entangled Mean Estimation in High-Dimensions Ilias Diakonikolas D. Kane Sihan Liu Thanasis Pittas 33 1 0 10 Jan 2025
Feature Selection Based on Wasserstein Distance Fuwei Li 29 0 0 11 Nov 2024
A Bilevel Optimization Framework for Imbalanced Data Classification Karen Medlin Sven Leyffer Krishnan Raghavan 16 0 0 15 Oct 2024
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation Tunazzina Islam Dan Goldwasser 36 1 0 07 Oct 2024
Factor Adjusted Spectral Clustering for Mixture Models Shange Tang Soham Jana Jianqing Fan 19 0 0 22 Aug 2024
Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver Hegan Chen Jichang Yang Jia Chen Songqi Wang Shaocong Wang ... Han Wang Dashan Shang Qi Liu Kwang-Ting Cheng Ming-Yu Liu 24 0 0 12 Jun 2024
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction Wei Chen Yuanyuan Yang Jianyu Liu 20 0 0 05 Jun 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 25 0 0 28 May 2024
Topological Detection of Phenomenological Bifurcations with Unreliable Kernel Densities Sunia Tanweer Firas A. Khasawneh 11 2 0 29 Jan 2024
Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning M. S. Khorshidi Navid Yazdanjue Hassan Gharoun D. Yazdani M. Nikoo Fang Chen Amir H. Gandomi 10 0 0 11 Jan 2024
Efficient Computing Algorithm for High Dimensional Sparse Support Vector Machine Jiawei Wen 13 1 0 25 Dec 2023
A Kernel-Based Neural Network Test for High-dimensional Sequencing Data Analysis Tingting Hou Chang Jiang Qing Lu BDL 23 1 0 05 Dec 2023
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew A. Turk 13 22 0 03 Dec 2023
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging Ruoran Li Runzhao Yang Wenxin Xiang Yuxiao Cheng Tingxiong Xiao J. Suo AI4CE 8 0 0 30 Nov 2023
Unsupervised Learning for Topological Classification of Transportation Networks Sina Sabzekar Mohammad Reza Valipour Malakshah Zahra Amini 8 0 0 23 Nov 2023
Gauge-optimal approximate learning for small data classification problems Edoardo Vecchi Davide Bassetti Fabio Graziato Lukás Pospísil I. Horenko 17 1 0 29 Oct 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning Gaurav Bhatt Deepayan Das Leonid Sigal Vineeth N. Balasubramanian 8 4 0 30 Sep 2023
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos Di Wang Xiaotong Liu Shao-Bo Lin Ding-Xuan Zhou 8 0 0 08 Sep 2023
Spurious Correlations and Where to Find Them Gautam Sreekumar Vishnu Naresh Boddeti CML 13 3 0 21 Aug 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 11 2 0 21 May 2023
Statistical Plasmode Simulations -- Potentials, Challenges and Recommendations Nicholas Schreck Alla Slynko Maral Saadati Axel Benner 11 6 0 10 May 2023
Predictive Heterogeneity: Measures and Applications Jiashuo Liu Jiayun Wu B. Li Peng Cui 7 1 0 01 Apr 2023
Environment Invariant Linear Least Squares Jianqing Fan Cong Fang Yihong Gu Tong Zhang OOD 49 11 0 06 Mar 2023
On How AI Needs to Change to Advance the Science of Drug Discovery Kieran Didi Matej Zečević CML 11 1 0 23 Dec 2022
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression Jianqing Fan Yihong Gu 6 21 0 05 Oct 2022
The Influence Function of Graphical Lasso Estimators Gaetan Louvet Jakob Raymaekers Germain Van Bever Ines Wilms 14 4 0 15 Sep 2022
On the Impact of Serial Dependence on Penalized Regression Methods Simone Tonini Francesca Chiaromonte A. Giovannelli 15 0 0 01 Aug 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 20 0 0 13 Jul 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 6 2 0 26 Mar 2022
Varying Coefficient Linear Discriminant Analysis for Dynamic Data Yajie Bao Yuyang Liu 12 1 0 12 Mar 2022
Data-Driven Minimax Optimization with Expectation Constraints Shuoguang Yang Xudong Li Guanghui Lan 6 8 0 16 Feb 2022
Prediction of terephthalic acid (TPA) yield in aqueous hydrolysis of polyethylene terephthalate (PET) Hossein Abedsoltan Zeinab Zoghi A. Mohammadi 8 0 0 29 Jan 2022
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 20 25 0 02 Oct 2021
Sequential Estimation under Multiple Resources: a Bandit Point of View Alireza Masoumian Shayan Kiyani Mohammad Hossein Yassaee 11 1 0 29 Sep 2021
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing B. Rao Liqang Wang 14 5 0 24 Jul 2021
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables Xu Han Ethan X. Fang C. Tang 18 0 0 16 Jun 2021
To do or not to do: finding causal relations in smart homes Kanvaly Fadiga Étienne Houzé A. Diaconescu J. Dessalles CML 13 9 0 20 May 2021
An Efficient Matrix Multiplication with Enhanced Privacy Protection in Cloud Computing and Its Applications Chun Liu Xuexian Hu Xiaofeng Chen Jianghong Wei Wenfen Liu 15 0 0 12 May 2021
Optimization meets Big Data: A survey Ricardo Di Pasquale J. Marenco AI4CE 8 1 0 03 Feb 2021
Toward Compact Data from Big Data S. Kim Kim DD 8 1 0 26 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 6 135 0 15 Dec 2020
Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties Anke Stoll P. Benner AI4CE 13 63 0 12 Oct 2020
Supervised clustering of high dimensional data using regularized mixture modeling Wennan Chang Changlin Wan Yong Zang Chi Zhang Sha Cao 4 11 0 19 Jul 2020
A Survey of Bayesian Statistical Approaches for Big Data Farzana Jahan Insha Ullah Kerrie Mengersen 24 12 0 08 Jun 2020
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation Hao Peng Wei Wang Pei Chen R. Liu AI4TS AI4CE 8 1 0 16 May 2020
Sorting Big Data by Revealed Preference with Application to College Ranking Xingwei Hu 11 6 0 27 Mar 2020
Optimal subsampling for quantile regression in big data Haiying Wang Yanyuan Ma 54 130 0 28 Jan 2020