Alexandros Kalousis

According to our database, Alexandros Kalousis authored at least 89 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Discrete Latent Graph Generative Modeling with Diffusion Bridges.

Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis

CoRR, 2024

2023

Semi-Supervised Variational Autoencoders for Out-of-Distribution Generation.

Frantzeska Lavda, Alexandros Kalousis

Entropy, December, 2023

Sample-Efficient On-Policy Imitation Learning from Observations.

João A. Cândido Ramos, Lionel Blondé, Naoya Takeishi, Alexandros Kalousis

CoRR, 2023

Vector-Quantized Graph Auto-Encoder.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

CoRR, 2023

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability.

Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models.

Naoya Takeishi, Alexandros Kalousis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization.

Grigorios G. Anagnostopoulos, Alexandros Kalousis

Sensors, 2022

Lipschitzness is all you need to tame off-policy generative adversarial imitation learning.

Lionel Blondé, Pablo Strasser, Alexandros Kalousis

Mach. Learn., 2022

GrannGAN: Graph annotation generative adversarial networks.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

CoRR, 2022

Graph annotation generative adversarial networks.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Permutation Equivariant Generative Adversarial Networks for Graphs.

Yoann Boget, Magda Gregorova, Alexandros Kalousis

CoRR, 2021

Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning.

Lionel Blondé, Alexandros Kalousis

CoRR, 2021

Learned transform compression with optimized entropy encoding.

Magda Gregorová, Marc Desaules, Alexandros Kalousis

CoRR, 2021

Conditional Neural Relational Inference for Interacting Systems.

Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling.

Naoya Takeishi, Alexandros Kalousis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Reproducible Indoor Positioning Research.

Grigorios G. Anagnostopoulos, Alexandros Kalousis

Proceedings of the WiP Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2021) co-located with 11th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021), Lloret de Mar, Spain, 29 November, 2021

ProxyFAUG: Proximity-based Fingerprint Augmentation.

Grigorios G. Anagnostopoulos, 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.

Jason Ramapuram, Yan Wu, Alexandros Kalousis

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

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

Grigorios G. Anagnostopoulos, Alexandros Kalousis

Proceedings of the ICC 2021, 2021

2020

Lifelong generative modeling.

Jason Ramapuram, Magda Gregorova, Alexandros Kalousis

Neurocomputing, 2020

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

Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis

Entropy, 2020

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

Amina Mollaysa, Brooks Paige, Alexandros Kalousis

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.

Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis

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

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

Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis

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.

Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis

CoRR, 2019

Learning by stochastic serializations.

Pablo Strasser, Stéphane Armand, Stéphane Marchand-Maillet, Alexandros Kalousis

CoRR, 2019

A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN.

Grigorios G. Anagnostopoulos, Alexandros Kalousis

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.

Grigorios G. Anagnostopoulos, Alexandros Kalousis

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

Variational Saccading: Efficient Inference for Large Resolution Images.

Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis

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

Sample-Efficient Imitation Learning via Generative Adversarial Nets.

Lionel Blondé, Alexandros Kalousis

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

Learning to Augment with Feature Side-information.

Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis

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

2018

Variational Saccading: Efficient Inference for Large Resolution Images.

Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis

CoRR, 2018

Continual Classification Learning Using Generative Models.

Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis

CoRR, 2018

Biomedical ontology alignment: an approach based on representation learning.

Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith, Dimitris Kiritsis

J. Biomed. Semant., 2018

Structured nonlinear variable selection.

Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet

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

Large-Scale Nonlinear Variable Selection via Kernel Random Features.

Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet

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

DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors.

Prodromos Kolyvakis, Alexandros Kalousis, 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.

Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet

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

Regularising Non-linear Models Using Feature Side-information.

Amina Mollaysa, Pablo Strasser, Alexandros Kalousis

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

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

Afef Ben Brahim, Alexandros Kalousis

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.

Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet

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

2016

Factorizing LambdaMART for cold start recommendations.

Phong Nguyen, Jun Wang, Alexandros Kalousis

Mach. Learn., 2016

2015

The Data Mining OPtimization Ontology.

C. Maria Keet, Agnieszka Lawrynowicz, Claudia d'Amato, Alexandros Kalousis, Phong Nguyen, Raúl Palma, Robert Stevens, Melanie Hilario

J. Web Semant., 2015

Learning vector autoregressive models with focalised Granger-causality graphs.

Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang

CoRR, 2015

Space-Time Local Embeddings.

Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet

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.

Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet

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

2014

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

P. Nguyen, Melanie Hilario, Alexandros Kalousis

J. Artif. Intell. Res., 2014

Two-Stage Metric Learning.

Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis

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

2013

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

Huyen Do, Alexandros Kalousis

CoRR, 2013

Convex formulations of radius-margin based Support Vector Machines.

Huyen Do, Alexandros Kalousis

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

2012

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

Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica

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

Relationship-aware sequential pattern mining

Nabil Stendardo, Alexandros Kalousis

CoRR, 2012

Structuring Relevant Feature Sets with Multiple Model Learning

Jun Wang, Alexandros Kalousis

CoRR, 2012

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

Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica

CoRR, 2012

Learning Neighborhoods for Metric Learning.

Jun Wang, Adam Woznica, Alexandros Kalousis

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

Parametric Local Metric Learning for Nearest Neighbor Classification.

Jun Wang, Alexandros Kalousis, Adam Woznica

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.

Adam Woznica, Phong Nguyen, Alexandros Kalousis

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.

Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis

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

2011

Ontology-Based Meta-Mining of Knowledge Discovery Workflows.

Melanie Hilario, Phong Nguyen, Huyen Do, Adam Woznica, Alexandros Kalousis

Proceedings of the Meta-Learning in Computational Intelligence, 2011

Metric Learning with Multiple Kernels.

Jun Wang, Huyen Do, Adam Woznica, Alexandros Kalousis

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.

Mohammed Dakna, Keith Harris, Alexandros Kalousis, Sebastien Carpentier, Walter Kolch, Joost P. Schanstra, Marion Haubitz, Antonia Vlahou, Harald Mischak, Mark A. Girolami

BMC Bioinform., 2010

Adaptive Matching Based Kernels for Labelled Graphs.

Adam Woznica, Alexandros Kalousis, Melanie Hilario

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

A New Framework for Dissimilarity and Similarity Learning.

Adam Woznica, Alexandros Kalousis

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

Adaptive Distances on Sets of Vectors.

Adam Woznica, Alexandros Kalousis

Proceedings of the ICDM 2010, 2010

2009

Margin and Radius Based Multiple Kernel Learning.

Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario

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

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

Huyen Do, Alexandros Kalousis, Melanie Hilario

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

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

Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Miltos Kyriakakos, Alexandros Kalousis

Proceedings of the 2009 international conference on Pervasive services, 2009

2008

Approaches to dimensionality reduction in proteomic biomarker studies.

Melanie Hilario, Alexandros Kalousis

Briefings Bioinform., 2008

Feature Selection with the logRatio Kernel.

Julien Prados, Alexandros Kalousis, Melanie Hilario

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.

Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis

Proceedings of the SIAM International Conference on Data Mining, 2008

2007

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

Alexandros Kalousis, Julien Prados, Melanie Hilario

Knowl. Inf. Syst., 2007

Path Prediction through Data Mining.

Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Alexandros Kalousis, Miltiadis Kyriakakos

Proceedings of the IEEE International Conference on Pervasive Services, 2007

Learning to combine distances for complex representations.

Adam Woznica, Alexandros Kalousis, Melanie Hilario

Proceedings of the Machine Learning, 2007

2006

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

Adam Woznica, Alexandros Kalousis, Melanie Hilario

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

Distances and (Indefinite) Kernels for Sets of Objects.

Adam Woznica, Alexandros Kalousis, Melanie Hilario

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

On Preprocessing of SELDI-MS Data and its Evaluation.

Julien Prados, Alexandros Kalousis, Melanie Hilario

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.

Alexandros Kalousis, Julien Prados, Elton Rexhepaj, Melanie Hilario

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

Kernels over Relational Algebra Structures.

Adam Woznica, Alexandros Kalousis, Melanie Hilario

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

Stability of Feature Selection Algorithms.

Alexandros Kalousis, Julien Prados, Melanie Hilario

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

2004

On Data and Algorithms: Understanding Inductive Performance.

Alexandros Kalousis, João Gama, Melanie Hilario

Mach. Learn., 2004

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

Alexandros Kalousis, Julien Prados, Jean-Charles Sanchez, Laure Allard, Melanie Hilario

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

2003

Representational Issues in Meta-Learning.

Alexandros Kalousis, Melanie Hilario

Proceedings of the Machine Learning, 2003

2001

Model Selection via Meta-Learning: A Comparative Study.

Alexandros Kalousis, Melanie Hilario

Int. J. Artif. Intell. Tools, 2001

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

Melanie Hilario, Alexandros Kalousis

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

Feature Selection for Meta-learning.

Alexandros Kalousis, Melanie Hilario

Proceedings of the Knowledge Discovery and Data Mining, 2001

Estimating the Predictive Accuracy of a Classifier.

Hilan Bensusan, Alexandros Kalousis

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Quantifying the Resilience of Inductive Classification Algorithms.

Melanie Hilario, Alexandros Kalousis

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.

Alexandros Kalousis, Theoharis Theoharis

Intell. Data Anal., 1999

1995

KNOWEL: A Hypermedia Knowledge Editor.

Michalis Vazirgiannis, Alexandros Kalousis, Michael Hatzopoulos

Proceedings of the 6th Int. Conf. and Workshop on Database and Expert Systems Applications, 1995