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. 1412.1114
  4. Cited By
Easy Hyperparameter Search Using Optunity

Easy Hyperparameter Search Using Optunity

2 December 2014
Marc Claesen
Jaak Simm
D. Popovic
Yves Moreau
B. De Moor
ArXiv (abs)PDFHTML

Papers citing "Easy Hyperparameter Search Using Optunity"

18 / 18 papers shown
Title
ASP: Automatic Selection of Proxy dataset for efficient AutoML
ASP: Automatic Selection of Proxy dataset for efficient AutoML
Peng Yao
Chao Liao
Jiyuan Jia
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
59
3
0
17 Oct 2023
AutoEn: An AutoML method based on ensembles of predefined Machine
  Learning pipelines for supervised Traffic Forecasting
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting
Juan S. Angarita-Zapata
A. Masegosa
I. Triguero
53
0
0
19 Mar 2023
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for
  Unsupervised Anomaly Detection in Multivariate Time Series
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh
Sulaiman A. Aburakhia
Ryan Myers
Abdallah Shami
AI4TS
111
35
0
23 Jan 2022
A Comparative study of Hyper-Parameter Optimization Tools
A Comparative study of Hyper-Parameter Optimization Tools
Shashank Shekhar
Adesh Bansode
Asif Salim
38
49
0
17 Jan 2022
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and
  Boosted Decision Trees
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
Angelos Chatzimparmpas
Rafael M. Martins
Andreas Kerren
123
11
0
01 Dec 2021
Search Algorithms for Automated Hyper-Parameter Tuning
Search Algorithms for Automated Hyper-Parameter Tuning
Leila Zahedi
F. Mohammadi
S. Rezapour
M. Ohland
M. Amini
49
40
0
29 Apr 2021
How Much Automation Does a Data Scientist Want?
How Much Automation Does a Data Scientist Want?
Dakuo Wang
Q. V. Liao
Yunfeng Zhang
Udayan Khurana
Horst Samulowitz
Soya Park
Michael J. Muller
Lisa Amini
AI4CE
77
56
0
07 Jan 2021
VisEvol: Visual Analytics to Support Hyperparameter Search through
  Evolutionary Optimization
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
Angelos Chatzimparmpas
Rafael M. Martins
Kostiantyn Kucher
Andreas Kerren
82
21
0
02 Dec 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory
  and Practice
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
218
2,160
0
30 Jul 2020
Weighted Random Search for Hyperparameter Optimization
Weighted Random Search for Hyperparameter Optimization
A. Florea
Razvan Andonie
128
48
0
03 Apr 2020
A Heuristic for Efficient Reduction in Hidden Layer Combinations For
  Feedforward Neural Networks
A Heuristic for Efficient Reduction in Hidden Layer Combinations For Feedforward Neural Networks
Wei Hao Khoong
23
3
0
25 Sep 2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Yihong Chen
B. Chen
Xiangnan He
Chen Gao
Yong Li
Jian-Guang Lou
Yue Wang
73
46
0
28 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks
Benchmark and Survey of Automated Machine Learning Frameworks
Marc-André Zöller
Marco F. Huber
75
86
0
26 Apr 2019
Named Entity Recognition with Bidirectional LSTM-CNNs
Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P. C. Chiu
Eric Nichols
93
1,902
0
26 Nov 2015
Vision-Based Road Detection using Contextual Blocks
Vision-Based Road Detection using Contextual Blocks
C. Mendes
Vincent Frémont
D. Wolf
39
21
0
03 Sep 2015
Assessing binary classifiers using only positive and unlabeled data
Assessing binary classifiers using only positive and unlabeled data
Marc Claesen
Jesse Davis
F. Smet
B. De Moor
71
20
0
26 Apr 2015
Hyperparameter Search in Machine Learning
Hyperparameter Search in Machine Learning
Marc Claesen
B. De Moor
102
443
0
07 Feb 2015
A Robust Ensemble Approach to Learn From Positive and Unlabeled Data
  Using SVM Base Models
A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models
Marc Claesen
F. Smet
Johan A. K. Suykens
B. De Moor
NoLa
109
97
0
13 Feb 2014
1