ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.09110
  4. Cited By
Explainable boosted linear regression for time series forecasting

Explainable boosted linear regression for time series forecasting

18 September 2020
Igor Ilic
Berk Görgülü
Mucahit Cevik
M. Baydogan
    AI4TS
ArXivPDFHTML

Papers citing "Explainable boosted linear regression for time series forecasting"

12 / 12 papers shown
Title
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
Eloi Lindas
Yannig Goude
Philippe Ciais
18
0
0
14 Apr 2025
Explainable Adaptive Tree-based Model Selection for Time Series
  Forecasting
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting
Matthias Jakobs
Amal Saadallah
47
5
0
02 Jan 2024
Integrating Transformations in Probabilistic Circuits
Integrating Transformations in Probabilistic Circuits
Tom Schierenbeck
Vladimir Vutov
Thorsten Dickhaus
Michael Beetz
TPM
21
0
0
06 Oct 2023
QXAI: Explainable AI Framework for Quantitative Analysis in Patient
  Monitoring Systems
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Juan D. Velásquez
Niall Higgins
32
2
0
19 Sep 2023
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using
  Interpretive Machine Learning
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning
Davood Pirayesh Neghab
Mucahit Cevik
M. Wahab
35
3
0
23 Mar 2023
DANLIP: Deep Autoregressive Networks for Locally Interpretable
  Probabilistic Forecasting
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting
Ozan Ozyegen
Juyoung Wang
Mucahit Cevik
BDL
AI4TS
14
1
0
05 Jan 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
Syed Kazmi
Berk Görgülü
Mucahit Cevik
M. Baydogan
30
5
0
02 Jan 2023
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear
  Regression
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
Xinlin Leng
Chenxu Li
Weifeng Xu
Yuyan Sun
Hongtao Wang
FedML
32
1
0
16 Sep 2022
POP: Mining POtential Performance of new fashion products via webly
  cross-modal query expansion
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion
Christian Joppi
Geri Skenderi
Marco Cristani
18
3
0
22 Jul 2022
Explainable Deep Belief Network based Auto encoder using novel Extended
  Garson Algorithm
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm
Satyam Kumar
V. Ravi
AI4CE
21
1
0
18 Jul 2022
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product
  Sales with Image-based Google Trends
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends
Geri Skenderi
Christian Joppi
Matteo Denitto
Marco Cristani
AI4TS
27
24
0
20 Sep 2021
A novel weighted approach for time series forecasting based on
  visibility graph
A novel weighted approach for time series forecasting based on visibility graph
Tianxiang Zhan
Fuyuan Xiao
AI4TS
31
4
0
14 Mar 2021
1