Alexandros Kalousis

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory.

[BibT_eX]

[DOI]

Jason Ramapuram

Yan Wu

Proceedings of the 9th International Conference on Learning Representations, 2021

Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

2020

Lifelong generative modeling.

[BibT_eX]

[DOI]

Jason Ramapuram

Magda Gregorova

Neurocomputing, 2020

Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data.

[BibT_eX]

[DOI]

Frantzeska Lavda

Entropy, 2020

Goal-directed Generation of Discrete Structures with Conditional Generative Models.

[BibT_eX]

[DOI]

Amina Mollaysa

Brooks Paige

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion.

[BibT_eX]

[DOI]

Prodromos Kolyvakis

Dimitris Kiritsis

Proceedings of the Semantic Web - 17th International Conference, 2020

Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors.

[BibT_eX]

[DOI]

Frantzeska Lavda

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion.

[BibT_eX]

[DOI]

Prodromos Kolyvakis

Dimitris Kiritsis

CoRR, 2019

Learning by stochastic serializations.

[BibT_eX]

[DOI]

Pablo Strasser

Stéphane Armand

CoRR, 2019

A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN.

[BibT_eX]

[DOI]

Proceedings of the 16th Workshop on Positioning, Navigation and Communications, 2019

A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

Variational Saccading: Efficient Inference for Large Resolution Images.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Sample-Efficient Imitation Learning via Generative Adversarial Nets.

[BibT_eX]

[DOI]

Lionel Blondé

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning to Augment with Feature Side-information.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Variational Saccading: Efficient Inference for Large Resolution Images.

[BibT_eX]

[DOI]

CoRR, 2018

Continual Classification Learning Using Generative Models.

[BibT_eX]

[DOI]

CoRR, 2018

Biomedical ontology alignment: an approach based on representation learning.

[BibT_eX]

[DOI]

J. Biomed. Semant., 2018

Structured nonlinear variable selection.

[BibT_eX]

[DOI]

Magda Gregorova

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Large-Scale Nonlinear Variable Selection via Kernel Random Features.

[BibT_eX]

[DOI]

Jason Ramapuram

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors.

[BibT_eX]

[DOI]

Prodromos Kolyvakis

Dimitris Kiritsis

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Forecasting and Granger Modelling with Non-linear Dynamical Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Regularising Non-linear Models Using Feature Side-information.

[BibT_eX]

[DOI]

Amina Mollaysa

Pablo Strasser

Proceedings of the 34th International Conference on Machine Learning, 2017

Semi Supervised Relevance Learning for Feature Selection on High Dimensional Data.

[BibT_eX]

[DOI]

Afef Ben Brahim

Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Factorizing LambdaMART for cold start recommendations.

[BibT_eX]

[DOI]

Phong Nguyen

Mach. Learn., 2016

2015

The Data Mining OPtimization Ontology.

[BibT_eX]

[DOI]

C. Maria Keet

Agnieszka Lawrynowicz

J. Web Semant., 2015

Learning vector autoregressive models with focalised Granger-causality graphs.

[BibT_eX]

[DOI]

Magda Gregorova

CoRR, 2015

Space-Time Local Embeddings.

[BibT_eX]

[DOI]

Ke Sun

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Information Geometry and Minimum Description Length Networks.

[BibT_eX]

[DOI]

Ke Sun

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Using Meta-mining to Support Data Mining Workflow Planning and Optimization.

[BibT_eX]

[DOI]

P. Nguyen

J. Artif. Intell. Res., 2014

Two-Stage Metric Learning.

[BibT_eX]

[DOI]

Ke Sun

Fei Sha

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

A Metric-learning based framework for Support Vector Machines and Multiple Kernel Learning.

[BibT_eX]

[DOI]

Huyen Do

CoRR, 2013

Convex formulations of radius-margin based Support Vector Machines.

[BibT_eX]

[DOI]

Huyen Do

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

A metric learning perspective of SVM: on the relation of LMNN and SVM.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Relationship-aware sequential pattern mining

[BibT_eX]

[DOI]

Nabil Stendardo

CoRR, 2012

Structuring Relevant Feature Sets with Multiple Model Learning

[BibT_eX]

[DOI]

CoRR, 2012

A metric learning perspective of SVM: on the relation of SVM and LMNN

[BibT_eX]

[DOI]

CoRR, 2012

Learning Neighborhoods for Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Parametric Local Metric Learning for Nearest Neighbor Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Model mining for robust feature selection.

[BibT_eX]

[DOI]

Phong Nguyen

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Ontology-Based Meta-Mining of Knowledge Discovery Workflows.

[BibT_eX]

[DOI]

Proceedings of the Meta-Learning in Computational Intelligence, 2011

Metric Learning with Multiple Kernels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Adaptive Matching Based Kernels for Labelled Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A New Framework for Dissimilarity and Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Adaptive Distances on Sets of Vectors.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Margin and Radius Based Multiple Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs.

[BibT_eX]

[DOI]

Huyen Do

Theodoros Anagnostopoulos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Predicting the location of mobile users: a machine learning approach.

[BibT_eX]

[DOI]

Christos Anagnostopoulos

Stathes Hadjiefthymiades

Miltos Kyriakakos

Proceedings of the 2009 international conference on Pervasive services, 2009

2008

Approaches to dimensionality reduction in proteomic biomarker studies.

[BibT_eX]

[DOI]

Briefings Bioinform., 2008

Feature Selection with the logRatio Kernel.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2008

A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees.

[BibT_eX]

[DOI]

Irene Ntoutsi

Yannis Theodoridis

Proceedings of the SIAM International Conference on Data Mining, 2008

2007

Stability of feature selection algorithms: a study on high-dimensional spaces.

[BibT_eX]

[DOI]

Theodoros Anagnostopoulos

Knowl. Inf. Syst., 2007

Path Prediction through Data Mining.

[BibT_eX]

[DOI]

Christos Anagnostopoulos

Stathes Hadjiefthymiades

Miltiadis Kyriakakos

Proceedings of the IEEE International Conference on Pervasive Services, 2007

Learning to combine distances for complex representations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Distances and (Indefinite) Kernels for Sets of Objects.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

On Preprocessing of SELDI-MS Data and its Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

Feature Extraction from Mass Spectra for Classification of Pathological States.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Kernels over Relational Algebra Structures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Stability of Feature Selection Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

On Data and Algorithms: Understanding Inductive Performance.

[BibT_eX]

[DOI]

João Gama

Mach. Learn., 2004

Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

2003

Representational Issues in Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

2001

Model Selection via Meta-Learning: A Comparative Study.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2001

Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Feature Selection for Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery and Data Mining, 2001

Estimating the Predictive Accuracy of a Classifier.

[BibT_eX]

[DOI]

Hilan Bensusan

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Quantifying the Resilience of Inductive Classification Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999

NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection.

[BibT_eX]

[DOI]

Theoharis Theoharis

Intell. Data Anal., 1999

1995

KNOWEL: A Hypermedia Knowledge Editor.

[BibT_eX]

Michalis Vazirgiannis