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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

9 February 2018

Papers citing "UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction"

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Harnessing value from data science in business: ensuring explainability and fairness of solutions Krzysztof Chomiak Michal Miktus 29 0 0 10 Aug 2021
Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks Valerio Bonometti Mathieu J. Ruiz Anders Drachen Alex R. Wade CML 46 0 0 03 Aug 2021
Visualizing Data using GTSNE Songting Shi 78 155 0 03 Aug 2021
Sign and Search: Sign Search Functionality for Sign Language Lexica Manolis Fragkiadakis P. V. D. Putten SLR 20 4 0 28 Jul 2021
Attribute-based Explanations of Non-Linear Embeddings of High-Dimensional Data Jan-Tobias Sohns M. Schmitt Fabian Jirasek Hans Hasse Heike Leitte 65 15 0 28 Jul 2021
Unsupervised Learning of Neurosymbolic Encoders Eric Zhan Jennifer J. Sun Ann Kennedy Yisong Yue Swarat Chaudhuri 100 14 0 28 Jul 2021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks Lucie Charlotte Magister Dmitry Kazhdan Vikash Singh Pietro Lio 98 48 0 25 Jul 2021
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels S. Mohammadzadeh Emma Lejeune AI4CE 67 28 0 24 Jul 2021
The decomposition of the higher-order homology embedding constructed from the $k$ -Laplacian Yu-Chia Chen M. Meilă 93 9 0 23 Jul 2021
Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection under Domain-Shift Conditions A. Fernández Mark D. Plumbley 96 3 0 22 Jul 2021
Selective Pseudo-label Clustering Louis Mahon Thomas Lukasiewicz 67 15 0 22 Jul 2021
Machine learning for assessing quality of service in the hospitality sector based on customer reviews Vladimir Vargas-Calderón Andreina Moros Ochoa Gilmer Yovani Castro Nieto Jorge E. Camargo 13 18 0 21 Jul 2021
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing Hamza Elhamdadi Shaun J. Canavan Paul Rosen CVBM 52 13 0 19 Jul 2021
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections Hyeon Jeon Hyung-Kwon Ko Jaemin Jo Youngtaek Kim Jinwook Seo 87 17 0 16 Jul 2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data A. Mondal Himanshu Asnani Parag Singla A. Prathosh UQCV 67 4 0 16 Jul 2021
Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data Joshua M. Scurll 18 1 0 15 Jul 2021
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech C. Steinmetz V. Ithapu P. Calamia 83 40 0 15 Jul 2021
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning Jack Lynch S. Wookey 55 1 0 11 Jul 2021
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan OOD 121 43 0 09 Jul 2021
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases Subhashini Venugopalan Joel Shor Manoj Plakal Jimmy Tobin Katrin Tomanek Jordan R. Green Michael P. Brenner 60 12 0 08 Jul 2021
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations Iván Cantador Andrés Carvallo F. Díez Denis Parra 46 0 0 07 Jul 2021
Topic Modeling in the Voynich Manuscript Rachel Sterneck A. Polish Claire Bowern 17 5 0 06 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata Gilberto Ochoa-Ruiz Andres Mendez-Vazquez 68 1 0 06 Jul 2021
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning Robin Louiset Pietro Gori Benoit Dufumier J. Houenou Antoine Grigis Edouard Duchesnay 38 2 0 05 Jul 2021
An Analytical Survey on Recent Trends in High Dimensional Data Visualization Alex B. Kiefer Md. Khaledur Rahman AI4TS 43 2 0 05 Jul 2021
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature Abheesht Sharma Gunjan Chhablani Harshit Pandey Rajaswa Patil 98 7 0 02 Jul 2021
Visualizing the geometry of labeled high-dimensional data with spheres Andrew D. Zaharia A. Potnis Alexander Walther N. Kriegeskorte 3DH 26 2 0 01 Jul 2021
Overhead-MNIST: Machine Learning Baselines for Image Classification E. Larsen David Noever Korey MacVittie John Lilly 354 7 0 01 Jul 2021
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy Anuja Vats Marius Pedersen A. Mohammed Ø. Hovde 43 7 0 30 Jun 2021
Interactive Dimensionality Reduction for Comparative Analysis Takanori Fujiwara Xinhai Wei Jian Zhao K. Ma 54 32 0 29 Jun 2021
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies Bojing Liu Yinxi Wang Philippe Weitz J. Lindberg Johan Hartman L. Egevad Henrik Grönberg M. Eklund M. Rantalainen 116 16 0 27 Jun 2021
Domain Conditional Predictors for Domain Adaptation João Monteiro Xavier Gibert Jianqiao Feng Vincent Dumoulin Dar-Shyang Lee OOD TTA AI4CE 50 5 0 25 Jun 2021
Conjugate Energy-Based Models Hao Wu Babak Esmaeili Michael L. Wick Jean-Baptiste Tristan Jan-Willem van de Meent 96 2 0 25 Jun 2021
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters G. Appleby M. Espadoto Rui Chen Sam Goree A. Telea Erik W. Anderson Remco Chang 41 11 0 25 Jun 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation G. Worrall Anand Rangarajan J. Judge 64 7 0 24 Jun 2021
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs Hanxi Sun Jason Plawinski Sajanth Subramaniam A. Jamaludin T. Kadir Aimee Readie G. Ligozio D. Ohlssen M. Baillie T. Coroller MedIm 42 5 0 24 Jun 2021
Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles Chenru Duan Shuxin Chen Michael G. Taylor Fan Liu Heather J. Kulik AI4CE 42 18 0 24 Jun 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 85 25 0 24 Jun 2021
Leveraging semantically similar queries for ranking via combining representations Hayden S. Helm Marah Abdin B. Pedigo Shweti Mahajan V. Lyzinski ... A. Basu Piali Choudhury Christopher M. White Weiwei Yang Carey E. Priebe FedML 21 1 0 23 Jun 2021
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 118 25 0 23 Jun 2021
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space Kalun Ho Franz-Josef Pfreundt J. Keuper Margret Keuper OOD UQCV 50 3 0 23 Jun 2021
MEAL: Manifold Embedding-based Active Learning Deepthi Sreenivasaiah Johannes Otterbach Thomas Wollmann 136 7 0 22 Jun 2021
Modal clustering on PPGMMGA projection subspace Luca Scrucca 23 1 0 22 Jun 2021
ExplorerTree: a focus+context exploration approach for 2D embeddings Wilson E. Marcílio-Jr D. M. Eler F. Paulovich J. F. Rodrigues Almir Artero 55 8 0 20 Jun 2021
Topological Indoor Mapping through WiFi Signals Bastian Schaefermeier Gerd Stumme Tom Hanika 45 0 0 17 Jun 2021
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification Gaurav R. Ghosal R. Abbasi-Asl AI4TS 27 7 0 17 Jun 2021
Input Invex Neural Network Suman Sapkota Binod Bhattarai 50 4 0 16 Jun 2021
WaveNet-Based Deep Neural Networks for the Characterization of Anomalous Diffusion (WADNet) Dezhong Li Qiujin Yao Zihan Huang DiffM 56 19 0 14 Jun 2021
HUMAP: Hierarchical Uniform Manifold Approximation and Projection Wilson E. Marcílio-Jr D. M. Eler F. Paulovich Rafael M. Martins 56 10 0 14 Jun 2021
Improving Metric Dimensionality Reduction with Distributed Topology Alexander Wagner Elchanan Solomon Paul Bendich 35 12 0 14 Jun 2021