Publications

53 entries « 1 of 2 »

2018

Large-scale Nonlinear Variable Selection via Kernel Random Features Journal Article

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

CoRR, abs/1804.07169 , 2018.

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Structured nonlinear variable selection Journal Article

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

CoRR, abs/1805.06258 , 2018.

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2017

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

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

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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Regularising Non-linear Models Using Feature Side-information Inproceedings

Mollaysa, Amina; Strasser, Pablo; Kalousis, Alexandros

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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Forecasting and Granger Modelling with Non-linear Dynamical Dependencies Inproceedings

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

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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2016

Factorizing LambdaMART for cold start recommendations Journal Article

Nguyen, Phong; Wang, Jun; Kalousis, Alexandros

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

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2015

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

Nguyen, Phong

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

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Improved Distance Metric Learning for Nearest Neighbor Classification PhD Thesis

Wang, Jun

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

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The Data Mining OPtimization Ontology Journal Article

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

J. Web Sem., 32 , pp. 43–53, 2015.

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Information Geometry and Minimum Description Length Networks Inproceedings

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

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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Space-Time Local Embeddings Inproceedings

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

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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2014

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

Nguyen, Phong; Hilario, Melanie; Kalousis, Alexandros

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

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Two-Stage Metric Learning Inproceedings

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

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

Convex formulations of radius-margin based Support Vector Machines Inproceedings

Do, Huyen; Kalousis, Alexandros

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

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

Do, Huyen

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

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

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

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

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Model mining for robust feature selection Inproceedings

Woznica, Adam; Nguyen, Phong; Kalousis, Alexandros

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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Parametric Local Metric Learning for Nearest Neighbor Classification Inproceedings

Wang, Jun; Kalousis, Alexandros; Woznica, Adam

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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Learning Neighborhoods for Metric Learning Inproceedings

Wang, Jun; Woznica, Adam; Kalousis, Alexandros

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

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

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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Relationship-aware sequential pattern mining Journal Article

Stendardo, Nabil; Kalousis, Alexandros

CoRR, abs/1212.5389 , 2012.

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2011

Metric Learning with Multiple Kernels Inproceedings

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

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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Ontology-Based Meta-Mining of Knowledge Discovery Workflows Incollection

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

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

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2010

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

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

BMC Bioinformatics, 11 , pp. 594, 2010.

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Adaptive Distances on Sets of Vectors Inproceedings

Woznica, Adam; Kalousis, Alexandros

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

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Adaptive Matching Based Kernels for Labelled Graphs Inproceedings

Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

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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A New Framework for Dissimilarity and Similarity Learning Inproceedings

Woznica, Adam; Kalousis, Alexandros

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

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

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

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

Do, Huyen; Kalousis, Alexandros; Hilario, Melanie

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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Margin and Radius Based Multiple Kernel Learning Inproceedings

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

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

Approaches to dimensionality reduction in proteomic biomarker studies Journal Article

Hilario, Melanie; Kalousis, Alexandros

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

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Feature Selection with the logRatio Kernel Inproceedings

Prados, Julien; Kalousis, Alexandros; Hilario, Melanie

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

Ntoutsi, Irene; Kalousis, Alexandros; Theodoridis, Yannis

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

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

Kalousis, Alexandros; Prados, Julien; Hilario, Melanie

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

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Learning to combine distances for complex representations Inproceedings

Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

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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Path Prediction through Data Mining Inproceedings

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

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

On Preprocessing of SELDI-MS Data and its Evaluation Inproceedings

Prados, Julien; Kalousis, Alexandros; Hilario, Melanie

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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Distances and (Indefinite) Kernels for Sets of Objects Inproceedings

Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

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

Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

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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2005

Stability of Feature Selection Algorithms Inproceedings

Kalousis, Alexandros; Prados, Julien; Hilario, Melanie

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pp. 218–225, 2005.

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Kernels over Relational Algebra Structures Inproceedings

Woznica, Adam; Kalousis, Alexandros; Hilario, Melanie

Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings, pp. 588–598, 2005.

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Feature Extraction from Mass Spectra for Classification of Pathological States Inproceedings

Kalousis, Alexandros; Prados, Julien; Rexhepaj, Elton; Hilario, Melanie

Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings, pp. 536–543, 2005.

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2004

On Data and Algorithms: Understanding Inductive Performance Journal Article

Kalousis, Alexandros; ã, Jo; Hilario, Melanie

Machine Learning, 54 (3), pp. 275–312, 2004.

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

Kalousis, Alexandros; Prados, Julien; -, Jean; Allard, Laure; Hilario, Melanie

16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 15-17 November 2004, Boca Raton, FL, USA, pp. 113–119, 2004.

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2003

Representational Issues in Meta-Learning Inproceedings

Kalousis, Alexandros; Hilario, Melanie

Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pp. 313–320, 2003.

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2001

Model Selection via Meta-Learning: A Comparative Study Journal Article

Kalousis, Alexandros; Hilario, Melanie

International Journal on Artificial Intelligence Tools, 10 (4), pp. 525–554, 2001.

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Estimating the Predictive Accuracy of a Classifier Inproceedings

Bensusan, Hilan; Kalousis, Alexandros

Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings, pp. 25–36, 2001.

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Feature Selection for Meta-learning Inproceedings

Kalousis, Alexandros; Hilario, Melanie

Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings, pp. 222–233, 2001.

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

Hilario, Melanie; Kalousis, Alexandros

Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings, pp. 180–191, 2001.

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2000

Model selection via meta-learning: a comparative study Inproceedings

Kalousis, Alexandros; Hilario, Melanie

12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 13-15 November 2000, Vancouver, BC, Canada, pp. 406–413, 2000.

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53 entries « 1 of 2 »