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2002.04803
Cited By
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
12 February 2020
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
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Papers citing
"Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence"
50 / 68 papers shown
Title
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Scalable k-Means Clustering for Large k via Seeded Approximate Nearest-Neighbor Search
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A User's Guide to
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Sergio Escalera
Graham W. Taylor
T. Moeslund
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18 Sep 2024
A Large-Scale Study of Model Integration in ML-Enabled Software Systems
Yorick Sens
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Thorsten Berger
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FT K-means: A High-Performance K-means on GPU with Fault Tolerance
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Yitong Ding
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Sheng Di
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Zizhong Chen
Franck Cappello
32
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Nataliia Koneva
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Let Go of Your Labels with Unsupervised Transfer
Artyom Gadetsky
Yulun Jiang
Maria Brbić
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11 Jun 2024
A Surprisingly Simple Method for Distributed Euclidean-Minimum Spanning Tree / Single Linkage Dendrogram Construction from High Dimensional Embeddings via Distance Decomposition
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A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis
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Daniel Edler
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Tommy Löfstedt
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23
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Tree-based Learning for High-Fidelity Prediction of Chaos
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Kamal Rana
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21
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Jerin Yasmin
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Modeling and Optimization of Epidemiological Control Policies Through Reinforcement Learning
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16
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GIST: Generated Inputs Sets Transferability in Deep Learning
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What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow
Amin Ghadesi
Maxime Lamothe
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SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes
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Elona Dupont
Anis Kacem
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Djamila Aouada
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Explanation Strategies for Image Classification in Humans vs. Current Explainable AI
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Yueyuan Zheng
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Jim Ignowski
Catherine E. Graves
Catherine E. Graves
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The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
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Florent Delgrange
Ann Nowé
Guillermo A. Pérez
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31
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06 Mar 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua
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pykanto: a python library to accelerate research on wild bird song
Nilo Merino Recalde
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20 Feb 2023
Performance and utility trade-off in interpretable sleep staging
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18
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Impact Learning: A Learning Method from Features Impact and Competition
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Saydul Akbar Murad
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S. Biswas
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Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
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25
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AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient
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C. Maltzahn
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CaiRL: A High-Performance Reinforcement Learning Environment Toolkit
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21
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A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes
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21
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Effective Gesture Based Framework for Capturing User Input
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Shai-am: A Machine Learning Platform for Investment Strategies
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Jungyu Ahn
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Benchopt: Reproducible, efficient and collaborative optimization benchmarks
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Mathurin Massias
Alexandre Gramfort
Pierre Ablin
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Zaccharie Ramzi
Joseph Salmon
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DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning
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Uncertainty Estimation in Machine Learning
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PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine
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An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
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