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Dataset2Vec: learning dataset meta-features

Data mining and knowledge discovery, 2021-05, Vol.35 (3), p.964-985

2021

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Fast classification of univariate and multivariate time series through shapelet discovery

Knowledge and information systems, 2016-11, Vol.49 (2), p.429-454

2016

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Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials

IEEE transactions on knowledge and data engineering, 2015-06, Vol.27 (6), p.1683-1695

2015

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Invariant time-series factorization

Data mining and knowledge discovery, 2014-09, Vol.28 (5-6), p.1455-1479

2014

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Self-supervised Learning for Semi-supervised Time Series Classification

Advances in Knowledge Discovery and Data Mining, 2020, p.499-511

2020

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Latent Time-Series Motifs

ACM transactions on knowledge discovery from data, 2016-08, Vol.11 (1), p.1-20

2016

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Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets

Machine Learning and Knowledge Discovery in Databases. Research Track, p.485-501

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Personalized Deep Learning for Tag Recommendation

Advances in Knowledge Discovery and Data Mining, p.186-197

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Learning time-series shapelets

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p.392-401

2014

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Scalable Pareto Front Approximation for Deep Multi-Objective Learning

2021 IEEE International Conference on Data Mining (ICDM), 2021, p.1306-1311

2021

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Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD

Machine Learning and Knowledge Discovery in Databases, p.333-341

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Supervised Nonlinear Factorizations Excel In Semi-supervised Regression

Advances in Knowledge Discovery and Data Mining, p.188-199

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A Deep Multi-task Approach for Residual Value Forecasting

Machine Learning and Knowledge Discovery in Databases, p.467-482

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Invariant features for time-series classification

Grabocka, Josif

2016

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Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights

Agents and Artificial Intelligence, 2019, Vol.11978, p.100-117

2019

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Attribute-aware non-linear co-embeddings of graph features

Proceedings of the 13th ACM Conference on Recommender Systems, 2019, p.314-321

2019

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Learning Through Non-linearly Supervised Dimensionality Reduction

Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII, 2015, Vol.8970, p.74-96

2015

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Deep Pipeline Embeddings for AutoML

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, p.1907-1919

2023

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A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning

Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021, p.605-613

2021

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Classification of Sparse Time Series via Supervised Matrix Factorization

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2021-09, Vol.26 (1), p.929-934

2021

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Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.1132-1140

2019

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Invariant Time-Series Classification

Machine Learning and Knowledge Discovery in Databases, p.725-740

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A Hybrid Convolutional Approach for Parking Availability Prediction

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-8

2019

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Supervised Dimensionality Reduction via Nonlinear Target Estimation

Data Warehousing and Knowledge Discovery, p.172-183

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Gait Verification using Deep Learning with a Pairwise Loss

2019 International Conference of the Biometrics Special Interest Group (BIOSIG), 2019, p.1-7

2019

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Dataset2Vec: learning dataset meta-features

Fast classification of univariate and multivariate time series through shapelet discovery

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials

Invariant time-series factorization

Self-supervised Learning for Semi-supervised Time Series Classification

Latent Time-Series Motifs

Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets

Personalized Deep Learning for Tag Recommendation

Learning time-series shapelets

Scalable Pareto Front Approximation for Deep Multi-Objective Learning

Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD

Supervised Nonlinear Factorizations Excel In Semi-supervised Regression

A Deep Multi-task Approach for Residual Value Forecasting

Invariant features for time-series classification

Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights

Attribute-aware non-linear co-embeddings of graph features

Learning Through Non-linearly Supervised Dimensionality Reduction

Deep Pipeline Embeddings for AutoML

A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning

Classification of Sparse Time Series via Supervised Matrix Factorization

Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings

Invariant Time-Series Classification

A Hybrid Convolutional Approach for Parking Availability Prediction

Supervised Dimensionality Reduction via Nonlinear Target Estimation

Gait Verification using Deep Learning with a Pairwise Loss

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