- A. Woznica, A. Kalousis (2010). A new framework for dissimilarity and similarity learning. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2010). Hyderabad, India.
- A. Woznica, A. Kalousis (2010). Adaptive Distances on Sets of Vectors. Proceedings of the 10th IEEE International Conference on Data Mining (ICDM-2010). Sydney, Australia.
- A. Woznica, A. Kalousis, M. Hilario (2010). Adaptive Matching Based Kernels for Labeled Graphs. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2010). Hyderabad, India.
- K. Wac, M. Hilario, B.J. van Beijnum, R. Bults, D. Konstantas (2010). QoS-Predictions Service: QoS Support for Proactive Mobile Services. T. Lagkas, P. Angelidis, L. Georgiadis. Wireless Network Traffic and Quality of Service Support: Trends and Standards. IGI Global, pages 378-399.
- M. Hilario, A. Kalousis, P. Nguyen, A. Woznica (2009). A Data Mining Ontology for Algorithm Selection and Meta-learning. Proc. ECML/PKDD Workshop on Third-Generation Data Mining: Towards Service-Oriented Knowledge Discovery (SoKD-09). Bled, Slovenia.
- H. Do, A. Kalousis, M. Hilario (2009). Feature Weighting using Margin and Radius based Error Bound Optimization in SVMs. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2009 (ECML-PKDD-09). Bled, Slovenia.
- H. Do, A. Kalousis, A. Woznica, M. Hilario (2009). Margin Radius Based Multiple Kernel Learning. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2009 (ECML-PKDD-09). Bled, Slovenia.
- I. Titov, R. McDonald (2008). A Joint Model of Text and Aspect Ratings for Sentiment Summarization. 46th Meeting of Association for Computational Linguistics (ACL-08). Columbus, OH, USA.
- M. Hilario, A. Kalousis (2008). Approaches to Dimensionality Reduction in Proteomic Biomarker Studies. Briefings in Bioinformatics. volume 9. number 2, pages 102--118.
- I. Titov, R. McDonald (2008). Modeling Online Reviews with Multi-Grain Topic Models. 17th International World Wide Web Conference (WWW-2008). Beijing, China.
- I. Titov, J. Henderson (2007). A Latent Variable Model for Generative Dependency Parsing. International Conference on Parsing Technologies (IWPT-07). Prague, Czech Republic.
- I. Titov, J. Henderson (2007). Constituent Parsing with Incremental Sigmoid Belief Networks. 45th Meeting of Association for Computational Linguistics (ACL-07). Prague, Czech Republic.
- I. Titov, J. Henderson (2007). Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. Proc. of the CoNLL 2007 Shared Task. Joint Conf. on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) (3rd place out of 23). Prague, Czech Republic.
- I. Titov, J. Henderson (2007). Incremental Bayesian Networks for Structure Prediction. 24th International Conference on Machine Learning (ICML-07). Corvallis, OR, USA.
- J. H. Kim, M. Hilario (2007). Learning Relations and Information Extraction Rules for Protein Annotation. IEEE International Symposium on Data Mining and Information Retrieval (DMIR-2007). Ontario, Canada, pages 349-354.
- A. Woznica, A. Kalousis, M. Hilario (2007). Learning to Combine Distances for Complex Representations. 24th International Conference on Machine Learning (ICML-07). Corvallis, OR, USA.
- J. H. Kim, A. Mitchell, T. Attwood, M. Hilario (2007). Learning to Extract Relations for Protein Annotation. 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB). Vienna, Austria.
- A. Kalousis, J. Prados, M. Hilario (2007). Stability of feature selection algorithms: a study on high-dimensional spaces. Knowledge and Information Systems. volume 12. number 1, pages 95-116.
- A. Woznica, A. Kalousis, M. Hilario (2006). Distances and (Indefinite) Kernels for Sets of Objects. The IEEE International Conference on Data Mining (ICDM) 2006. Hong Kong.
- A. Woznica, A. Kalousis, M. Hilario (2006). Kernels on lists and sets over relational algebra: an application to classification of protein fingerprints. The 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Singapore.
- G. Cohen, M. Hilario, H. Sax, S. Hugonnet, A. Geissbuhler (2006). Learning from imbalanced data in surveillance of nosocomial infection. Artificial Intelligence in Medicine. volume 37. Elsevier, pages 7-18.
- I. Titov, J. Henderson (2006). Loss minimization in parse reranking. Conference on Empirical Methods in Natural Language Processing (EMNLP). Sydney, Australia.
- A. Woznica, A. Kalousis, M. Hilario (2006). Matching Based Kernels for Labeled Graphs. Mining and Learning with Graphs (MLG 2006), in conjunction with ECML/PKDD 2006. Berlin, Germany.
- J. Prados, A. Kalousis, M. Hilario (2006). On Preprocessing of SELDI MS Data and its Evaluation. Proc. 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS-2006). Salt Lake City.
- I. Titov, J. Henderson (2006). Porting statistical parsers with data-defined kernels. 10th Conference on Computational Natural Language Learning (CoNLL-X). New York, USA.
- M. Hilario, C. Nedellec (2006). Proceedings. Workshop on Data and Text Mining for Integrative Biology, in conjunction with ECML/PKDD 2006. Berlin, Germany.
- M. Hilario, A. Kalousis, C. Pellegrini, M. Mueller (2006). Processing and classification of protein mass spectra. Mass Spectrometry Reviews. volume 25. Wiley, pages 409--449.
- J. Henderson, I. Titov (2005). Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models. 43rd Meeting of Association for Computational Linguistics (ACL-05). Ann Arbor, USA.
- I. Titov, J. Henderson (2005). Deriving Kernels from MLP Probability Estimators for Large Categorization Problems. International Joint Conference on Neural Networks. Montreal, Canada.
- A. Woznica, A. Kalousis, M. Hilario (2005). Distance-based learning over extended relational algebra structures. In Proceedings of the 15th International Conference on Inductive Logic Programming (ILP-2005) (late breaking papers). Bonn, Germany.
- A. Kalousis, J. Prados, E. Rexhepaj, M. Hilario (2005). Feature Extraction from mass spectral data for the classification of pathological states. Proceedings of Ninth European Conference on Principles of Data Mining and Knowledge Discovery (PKDD-2005). Springer.
- A. Woznica, A. Kalousis, M. Hilario (2005). Kernels over relational algebra structures. The Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2005 Best Student Papers Award). Hanoi, Vietnam.
- S. Kosinov, I. Titov, S. Marchand-Maillet (2005). Large Margin Multiple Hyperplane Classification for Content-Based Multimedia Retrieval. ICML, Workshop on Machine Learning Techniques for Processing Multimedia Content. Bonn, Germany.
- J. H. Kim, M. Hilario (2005). Learning Information Extraction Rules for Protein Annotation from Unannotated Corpora. Sixth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2005 Best Paper Award, 3rd place). Mexico City, pages 512--523.
- G. Cohen, M. Hilario, H. Sax, S. Hugonnet, A. Geissbuhler (2005). Learning from imbalanced data in surveillance of nosocomial infection. Artificial Intelligence in Medicine. Elsevier.
- A. L. Mitchell, A. Divoli, J.H. Kim, M. Hilario, I. Selimas, T. K. Attwood (2005). METIS: Multiple Extraction Techniques for Informative Sentences. Bioinformatics. Oxford U. Press.
- G. Cohen, P. Ruch, M. Hilario (2005). Model selection for support vector classifiers via a direct simplex search method. 18th International FLAIRS Conference. Clearwater Beach, FL.
- I. Titov, J. Henderson (2005). Parsing with Kernels Induced from Probabilistic Models. International Conference on Computational Linguistics and Intelligent Technologies (Dialog-2005). Moscow, Russia.
- G. Cohen, M. Hilario, C. Pellegrini, A. Geissbuhler (2005). SVM Modeling via a Hybrid Genetic Strategy. A Health Care Application.. Studies in Health Technology and Informatics. volume 116, pages 193--198.
- A. Kalousis, J. Prados, M. Hilario (2005). Stability of Feature Selection Algorithms. Proc. 5th IEEE International Conference on Data Mining (ICDM-2005). Houston, Texas. IEEE Computer Society, pages 218-225.
- James Henderson (2004). A Neural Network Parser that Handles Sparse Data. H. Bunt, J. Carroll, G. Satta. New Developments in Parsing Technology. Boston. Kluwer Academic Publishers.
- G. Cohen, M. Hilario, H. Sax, S. Hugonnet, C. Pellegrini, A. Geissbuhler (2004). An Application of One-Class Support Vector Machines to Nosocomial Infection Detection. Medical Informatics (MEDINFO-2004).
- M. Hilario, A. Mitchell, J. H. Kim, P. Bradley, T. Attwood (2004). Classifying protein fingerprints. Proc. 8th Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-04 Best Paper Award). Pisa, Italy. Springer-Verlag.
- M. Hilario, A. Kalousis, J. Prados, P. A. Binz (2004). Data mining for mass spectra-based cancer diagnosis and biomarker discovery. Drug Discovery Today: Biosilico. volume 2. number 5. Elsevier, pages 214--222.
- James Henderson (2004). Discriminative Training of a Neural Network Statistical Parser. Proc. 42nd Meeting of Association for Computational Linguistics. Barcelona, Spain.
- A. Kalousis, J. Prados, J. C. Sanchez, L. Allard, M. Hilario (2004). Distilling classification models from cross-validation runs: an application to mass spectrometry. International Conference on Tools with Artificial Intelligence (ICTAI-04). Boca Raton, FL.
- James Henderson (2004). Estimating probabilities for unbounded categorization problems. Neurocomputing. volume 57, pages 77-86.
- A. Woznica, A. Kalousis, M. Hilario (2004). Kernel-based distances for relational learning. Workshop on Multirelational Data Mining, in conjunction with KDD-04. Seattle, Washington.
- James Henderson (2004). Lookahead in Deterministic Left-Corner Parsing. Proc. Workshop on Incremental Parsing: Bringing Engineering and Cognition Together. Barcelona, Spain.
- J. Prados, A. Kalousis, L. Allard, O. Carrette, J. C. Sanchez, M. Hilario (2004). Mining mass-spectra for diagnosis and biomarker discovery of cerebral accidents. Proteomics. volume 4. Wiley, pages 2320--2332.
- G. Cohen, M. Hilario, A. Geissbuhler (2004). Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support. International Symposium on Biological and Medical Data Analysis (ISBMDA-2004). Springer.
- A. Kalousis, J. Gama, M. Hilario (2004). On data and algorithms: understanding inductive performance. Machine Learning. volume 54. number 3, pages 275--312.
- G. Cohen, M. Hilario, C. Pellegrini (2004). One-class Support vector Machine with a Conformal Kernel. A Case Study in Handling Class Imbalance. Statistical Pattern Recognition (SPR-2004). Lisbon, Portugal.
- G. Cohen, M. Hilario, S. Hugonnet, H. Sax (2003). Asymmetrical margin approach to surveillance of nosocomial infections using support vector classification. Intelligence Data Analysis in Medicine and Pharmacology (IDAMAP 2003). Cyprus.
- G. Cohen, M. Hilario, H. Sax, S. Hugonnet (2003). Data imbalance in surveillance of nosocomial infections. Proc. International Symposium on Medical Data Analysis. Berlin. Springer-Verlag.
- James Henderson (2003). Generative Versus Discriminative Models for Statistical Left-Corner Parsing. Proc. 8th Int. Workshop on Parsing Technologies. Nancy, France, pages 115--126.
- James Henderson (2003). Inducing History Representations for Broad Coverage Statistical Parsing. Proc. joint meeting of North American Chapter of the Association for Computational Linguistics and the Human Language Technology Conf.. Edmonton, Canada, pages 103--110.
- M. Hilario, A. Kalousis, M. Muller, C. Pellegrini (2003). Machine learning approaches to lung cancer prediction from mass spectra. Proteomics. volume 3. number 9. Wiley, pages 1716-1719.
- James Henderson (2003). Neural Network Probability Estimation for Broad Coverage Parsing. Proc. 10th Conf. of European Chapter of the Association for Computational Linguistics. Budapest, Hungary, pages 131--138.
- A. Kalousis, M. Hilario (2003). Representational Issues in Meta-Learning. Proceedings of the 20th International Conference Machine Learning (ICML-04). Morgan Kaufmann.
- James Henderson (2003). Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing. Proc. 13th Int. Conf. on Artificial Neural Networks. Istanbul, Turkey.
- A. Kalousis, M. Hilario, M. Mueller (2002). Distribution-Based Feature Selection for the Identification of Relevant Proteins. M. Campa, M. Fitzgerald, E. Patz. First Annual Proteomics Datamining Conference. Durham, N.C..
- J. Henderson (2002). Estimating probabilities for unbounded categorization problems. Proceedings of the 10th European Symposium on Artificial Neural Networks. Bruges, Belgium.
- M. Hilario, A. Kalousis, M. Mueller (2002). Experiments in Automated Diagnosis from Protein Mass Spectra. M. Campa, M. Fitzgerald, E. Patz. Proc. First Annual Proteomics Datamining Conference. Durham, N.C..
- M. Hilario (2002). Model complexity and algorithm selection in classification. S. Lange, K. Satoh, C. H. Smith. Discovery Science. Fifth International Conference, DS 2002. Springer Verlag.
- P. Ruch, R. Baud, A. Geissbuhler, M. Hilario, C. Pellegrini (2002). Text Mining and Information Retrieval in Medical records: An inquiry into automatic spelling correction. Workshop on Natural Language Processing in Biomedical Applications. Nicosia, Cyprus.
- J. Henderson, P. Merlo, I. Petroff, G. Schneider (2002). Using NLP to efficiently visualize text collections with SOMs. Proceedings of the 3rd International Workshop on Natural Language and Information Systems (NLIS). Aix-en-Provence, France.
- J. Henderson, P. Merlo, I. Petroff, G. Schneider (2002). Using syntactic analysis to increase efficiency in visualizing text collections. Proceedings of the 19th International Conference on Computational Linguistics (COLING). Taipei, Taiwan.
- H. Bensusan, A. Kalousis (2001). Estimating the Predictive Accuracy of a Classifier. L. Raedt, P. Flach. Proceedings of the 12th European Conference on Machine Learning. Springer, pages 25-36.
- A. Kalousis, M. Hilario (2001). Feature Selection for Meta-Learning. D.W. Cheung, G. Williams, Q. Li. Proceedings of the 5th Pasific Asia Conference on Knowledge Discovery and Data Mining. Springer.
- M. Hilario, A. Kalousis (2001). Fusion of Meta-Knowledge and Meta-Data for Case-Based Model Selection. L.D. Raedt, A. Siebes. Principles of Data Mining and Knowledge Discovery. Proceedings of the 5th European Conference. Springer, pages 180--191.
- F. Kurfess, M. Hilario (Eds.) (2001). Integrating Data Mining and Knowledge Management. Proceedings of the Workshop held in conjunction with the {IEEE} International Conference on Data Mining (ICDM-01). San Jose, CA.
- A. Kalousis, M. Hilario (2001). Model Selection via Meta-learning: a Comparative Study. International Journal of Artificial Intelligence Tools. volume 10. number 4. World Scientific Publishing.
- M. Hilario (2000). Architectures and Techniques for Knwoledge-Based Neurocomputing. I. Cloete, J. M. Zurada. Knowledge-Based Neurocomputing. MIT Press, pages 29--66.
- M. Hilario, A. Kalousis (2000). Building Algorithm Profiles for prior Model Selection in Knowledge Discovery Systems.. Engineering Intelligent Systems. volume 8. number 2.
- A. Kalousis, M. Hilario (2000). Knowledge discovery from incomplete data. Proceedings of the 2nd International Conference on Data Mining. WIT Press.
- A. Kalousis, M. Hilario (2000). Model Selection via Meta-learning: a Comparative Study. Proceedings of the 12th International IEEE Conference on Tools with AI. IEEE press.
- M. Hilario, A. Kalousis (2000). Quantifying the resilience of inductive classification algorithms. Proc. 4th Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-00). Springer-Verlag, pages 106--115.
- M. Hilario, A. Kalousis (1999). Building Algorithm Profiles for Prior Model Selection in Knowledge Discovery Systems. IEEE International Conference on Systems, Man, and Cybernetics. IEEE Press.
- A. Labbi, H. Bosch, C. Pellegrini (1999). Image Categorization using Independant Component Analysis. ACAI Workshop on Biologically Inspired Machine Learning, BIML'99. Crete, Greece.
- A. Rida, A. Labbi, C. Pellegrini (1999). Local Experts Combination trough Density Decomposition. Intl. Workshop on AI and Statistics (Uncertainty'99). Fort Lauerdale.
- A. Kalousis, T. Theoharis (1999). NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection. Intelligent Data Analysis. volume 3. number 5, pages 319-337.
- A. Labbi, H. Bosch, C. Pellegrini (1999). Sparse-Distributed Codes for Image Categorization. Proc. of Int. Conference on Neural Information Processing. Perth, Australia.
- A. Labbi, H. Bosch, C. Pellegrini, W. Gerstner (1999). Viewpoint-Invariant Object Recognition using Independent Component Analysis. Proc. of International Symposium on Nonlinear Theory and its Applications (NOLTA'99). Hawaii.
- H. Bosch, A. Labbi, R. Milanese (1998). Object Segmentation by Attention-Induced Oscillations. Proc. of IEEE World Congress on Computational Intelligence. Alaska.
- H. Bosch, R. Milanese, A. Labbi, J. Demongeot (1998). Rate and Temporal Coding with a Neural Oscillator. Proc. of Int. Conf. on Artif. Neural Networks (ICANN'98). Skovde, Sweden. Springer.
- M. Hilario, A. Rida, C. Pellegrini (1997). A Metalevel Architecture for Knowledge-Based Neural Network Design. International Conference on Tools for Artificial Intelligence (ICTAI'97). Newport Beach, CA.
- M. Vuilleumier, C. Pellegrini, M. Hilario (1997). An Architecture for Musical Score Recognition Using High-Level Domain Knowledge. International Conference on Document Analysis and Recognition. Ulm.
- M. Hilario (1997). An overview of strategies for neurosymbolic integration. R. Sun, F. Alexandre. Connectionist-Symbolic Integration: From Unified to Hybrid Approaches. Lawrence Erlbaum.
- M. Hilario, A. Rida (1997). The Use of Prior Knowledge in Neural Network Configuration and Training. Biological and Artificial Computation: From Neuroscience to Technology. International Work Conference on Artificial and Natural Neural Networks (IWANN'97).
- M. Hilario, B. Orsier, A. Rida, C. Pellegrini (1996). A knowledge-based approach to MLP Configuration. International Conference on Neural Networks. Washington, DC.
- M. Vuilleumier, M. Hilario (1996). Declarative Heuristics for Neural Network Design. F. Kurfess. ECAI'96 Workshop on Neural Networks and Structured Knowledge. Budapest.
- M. Hilario, Y. Lallement, F. Alexandre (1995). Neurosymbolic integration: unified versus hybrid approaches. M. Verleysen. European Symposium on Artificial Neural Networks. Brussels. D facto, pages 181-196.
- M. Hilario, C. Pellegrini, F. Alexandre (1994). Modular Integration of Connectionist and Symbolic Processing in Knowledge-Based Systems. L. M. Fu. International Symposium on Integrating Knowledge and Neural Heuristics. Pensacola, Florida, pages 123-132.
Last update : 28.03.11 by Bib2Html