Publications

64 entries « 1 of 2 »

2019

Anagnostopoulos, Grigorios G; Kalousis, Alexandros

A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN Conference Forthcoming

Forthcoming, (Preprint).

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Anagnostopoulos, Grigorios G; Kalousis, Alexandros

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

Forthcoming, (Preprint).

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Ramapuram, Jason; Webb, Russ

Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. Unpublished Forthcoming

Forthcoming.

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2018

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

Variational Saccading: Efficient Inference for Large Resolution Images Conference

BMVC 2019 & Bayesian Deep Learning Workshop Neurips, 2018.

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Gregorova, Magda

Sparse learning for variable selection with structures and nonlinearities PhD Thesis

2018, (PhD Thesis ID: unige:115678).

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Lavda, Frantzeska; Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Continual Classification Learning Using Generative Models Workshop

Continual learning Workshop NeurIPS 2018, 2018.

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Ramapuram, Jason; Webb, Russ

A New Benchmark and Progress Toward Improved Weakly Supervised Learning Journal Article

CoRR, abs/1807.00126 , 2018.

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Blondé, Lionel; Kalousis, Alexandros

Sample-Efficient Imitation Learning via Generative Adversarial Nets Journal Article

CoRR, abs/1809.02064 , 2018.

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Gregorová, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Structured nonlinear variable selection Inproceedings

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018, pp. 23–32, 2018.

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

Large-Scale Nonlinear Variable Selection via Kernel Random Features Inproceedings

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II, pp. 177–192, 2018.

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2017

Gregorová, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

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

Proceedings of The 9th Asian Conference on Machine Learning, ACML 2017, Seoul, Korea, November 15-17, 2017., pp. 161–176, 2017.

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Mollaysa, Amina; Strasser, Pablo; Kalousis, Alexandros

Regularising Non-linear Models Using Feature Side-information Inproceedings

Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp. 2508–2517, 2017.

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Gregorová, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Forecasting and Granger Modelling with Non-linear Dynamical Dependencies Inproceedings

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, pp. 544–558, 2017.

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Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Lifelong Generative Modeling Journal Article

CoRR, abs/1705.09847 , 2017.

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2016

Nguyen, Phong; Wang, Jun; Kalousis, Alexandros

Factorizing LambdaMART for cold start recommendations Journal Article

Machine Learning, 104 (2-3), pp. 223–242, 2016.

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2015

Nguyen, Phong

Meta-mining: a meta-learning framework to support the recommendation, planning and optimization of data mining workflows PhD Thesis

Thesis PhD, University Of Geneva, Computer Science Department, 2015, (ID: unige:86131).

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Wang, Jun

Improved Distance Metric Learning for Nearest Neighbor Classification PhD Thesis

Phd Thesis, University of Geneva, Computer Science Department, 2015, (ID: unige:76989).

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

The Data Mining OPtimization Ontology Journal Article

J. Web Sem., 32 , pp. 43–53, 2015.

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

Information Geometry and Minimum Description Length Networks Inproceedings

Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, pp. 49–58, 2015.

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

Space-Time Local Embeddings Inproceedings

Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, pp. 100–108, 2015.

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Gregorova, Magda; Kalousis, Alexandros; Dinuzzo, Francesco

Functional learning of time-series models preserving Granger-causality structures Inproceedings

Proceedings of the Time Series Workshop of the 29th Neural Information Processing Systems conference, NIPS-2015, 11th December 2015 2015.

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Gregorova, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Learning coherent Granger-causality in panel vector autoregressive models Inproceedings

Proceedings of the Demand Forecasting Workshop of the 32nd International Conference on Machine Learning, ICML 2015.

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2014

Nguyen, Phong; Hilario, Melanie; Kalousis, Alexandros

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

J. Artif. Intell. Res., 51 , pp. 605–644, 2014.

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

Two-Stage Metric Learning Inproceedings

Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, pp. 370–378, 2014.

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2013

Do, Huyen; Kalousis, Alexandros

Convex formulations of radius-margin based Support Vector Machines Inproceedings

Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, pp. 169–177, 2013.

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2012

Do, Huyen

A unified framework for Support Vector Machines, Multiple Kernel Learning and metric learning PhD Thesis

PhD Thesis, University of Geneva, Computer Science Department., 2012, (ID: unige:24004).

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Nguyen, Phong; Wang, Jun; Hilario, Melanie; Kalousis, Alexandros

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

12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, pp. 1026–1031, 2012.

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Woznica, Adam; Nguyen, Phong; Kalousis, Alexandros

Model mining for robust feature selection Inproceedings

The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pp. 913–921, 2012.

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Wang, Jun; Kalousis, Alexandros; Woznica, Adam

Parametric Local Metric Learning for Nearest Neighbor Classification Inproceedings

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, Lake Tahoe, Nevada, United States., pp. 1610–1618, 2012.

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Wang, Jun; Woznica, Adam; Kalousis, Alexandros

Learning Neighborhoods for Metric Learning Inproceedings

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I, pp. 223–236, 2012.

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Do, Huyen; Kalousis, Alexandros; Wang, Jun; Woznica, Adam

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

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, April 21-23, 2012, pp. 308–317, 2012.

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Stendardo, Nabil; Kalousis, Alexandros

Relationship-aware sequential pattern mining Journal Article

CoRR, abs/1212.5389 , 2012.

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2011

Wang, Jun; Do, Huyen; Woznica, Adam; Kalousis, Alexandros

Metric Learning with Multiple Kernels Inproceedings

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, Granada, Spain., pp. 1170–1178, 2011.

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

Ontology-Based Meta-Mining of Knowledge Discovery Workflows Incollection

Meta-Learning in Computational Intelligence, pp. 273–315, 2011.

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2010

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

Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers Journal Article

BMC Bioinformatics, 11 , pp. 594, 2010.

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Woznica, Adam; Kalousis, Alexandros

Adaptive Distances on Sets of Vectors Inproceedings

ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, pp. 579–588, 2010.

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Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

Adaptive Matching Based Kernels for Labelled Graphs Inproceedings

Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II, pp. 374–385, 2010.

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Woznica, Adam; Kalousis, Alexandros

A New Framework for Dissimilarity and Similarity Learning Inproceedings

Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II, pp. 386–397, 2010.

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2009

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

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

Proceedings of the 2009 international conference on Pervasive services, ICPS '09, London, United Kingdom, July 13-17, 2009, pp. 65–72, 2009.

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Do, Huyen; Kalousis, Alexandros; Hilario, Melanie

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

Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I, pp. 315–329, 2009.

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Do, Huyen; Kalousis, Alexandros; Woznica, Adam; Hilario, Melanie

Margin and Radius Based Multiple Kernel Learning Inproceedings

Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I, pp. 330–343, 2009.

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2008

Hilario, Melanie; Kalousis, Alexandros

Approaches to dimensionality reduction in proteomic biomarker studies Journal Article

Briefings in Bioinformatics, 9 (2), pp. 102–118, 2008.

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Prados, Julien; Kalousis, Alexandros; Hilario, Melanie

Feature Selection with the logRatio Kernel Inproceedings

Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, pp. 177–187, 2008.

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Ntoutsi, Irene; Kalousis, Alexandros; Theodoridis, Yannis

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

Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, pp. 810–821, 2008.

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2007

Kalousis, Alexandros; Prados, Julien; Hilario, Melanie

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

Knowl. Inf. Syst., 12 (1), pp. 95–116, 2007.

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Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

Learning to combine distances for complex representations Inproceedings

Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, pp. 1031–1038, 2007.

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

Path Prediction through Data Mining Inproceedings

Proceedings of the IEEE International Conference on Pervasive Services, ICPS 2007, 15-20 July, 2007, Istanbul, Turkey, pp. 128–135, 2007.

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2006

Prados, Julien; Kalousis, Alexandros; Hilario, Melanie

On Preprocessing of SELDI-MS Data and its Evaluation Inproceedings

19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 22-23 June 2006, Salt Lake City, Utah, USA, pp. 953–958, 2006.

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Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

Distances and (Indefinite) Kernels for Sets of Objects Inproceedings

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pp. 1151–1156, 2006.

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Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

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

Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings, pp. 546–551, 2006.

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64 entries « 1 of 2 »