 | 2009 |
|---|
| 33 |       | Kevin Kontos,
Bruno André,
Jacques van Helden,
Gianluca Bontempi:
Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae.
EvoBIO 2009: 13-24 |
| 32 | | Kevin Kontos,
Gianluca Bontempi:
An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models.
SAC 2009: 793-798 |
| 2008 |
|---|
| 31 | | Kevin Kontos,
Gianluca Bontempi:
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data.
BIRD 2008: 273-287 |
| 30 | | Gianluca Bontempi,
Patrick Emmanuel Meyer:
A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets.
ICANN (2) 2008: 21-31 |
| 29 | | Benjamin Haibe-Kains,
Christine Desmedt,
S. Loi,
Mauro Delorenzi,
C. Sotiriou,
Gianluca Bontempi:
Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Study.
Computational Intelligence in Biomedicine and Bioinformatics 2008: 237-268 |
| 28 | | Patrick Emmanuel Meyer,
Frédéric Lafitte,
Gianluca Bontempi:
minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information.
BMC Bioinformatics 9: (2008) |
| 27 | | Benjamin Haibe-Kains,
Christine Desmedt,
C. Sotiriou,
Gianluca Bontempi:
A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
Bioinformatics 24(19): 2200-2208 (2008) |
| 26 | | Abhilash Alexander Miranda,
Yann-Aël Le Borgne,
Gianluca Bontempi:
New Routes from Minimal Approximation Error to Principal Components.
Neural Processing Letters 27(3): 197-207 (2008) |
| 2007 |
|---|
| 25 | | Olivier Caelen,
Gianluca Bontempi,
Luc Barvais:
Machine Learning Techniques for Decision Support in Anesthesia.
AIME 2007: 165-169 |
| 24 | | Patrick Emmanuel Meyer,
Kevin Kontos,
Gianluca Bontempi:
Biological Network Inference Using Redundancy Analysis.
BIRD 2007: 16-27 |
| 23 | | Olivier Caelen,
Gianluca Bontempi:
Improving the Exploration Strategy in Bandit Algorithms.
LION 2007: 56-68 |
| 22 | | Jean-Pierre Norguet,
Benjamin Tshibasu-Kabeya,
Gianluca Bontempi,
Esteban Zimányi:
A Page-Classification Approach to Web Usage Semantic Analysis.
Engineering Letters 14(1): 120-126 (2007) |
| 21 | | Gianluca Bontempi:
A Blocking Strategy to Improve Gene Selection for Classification of Gene Expression Data.
IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 293-300 (2007) |
| 20 | | Yann-Aël Le Borgne,
Silvia Santini,
Gianluca Bontempi:
Adaptive model selection for time series prediction in wireless sensor networks.
Signal Processing 87(12): 3010-3020 (2007) |
| 2006 |
|---|
| 19 | | Yann-Aël Le Borgne,
Mehdi Moussaid,
Gianluca Bontempi:
Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks.
AINA (2) 2006: 383-387 |
| 18 | | Olivier Caelen,
Gianluca Bontempi,
Eddy Coussaert,
Luc Barvais,
Francois Clement:
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia.
CBMS 2006: 696-701 |
| 17 | | Patrick Emmanuel Meyer,
Gianluca Bontempi:
On the Use of Variable Complementarity for Feature Selection in Cancer Classification.
EvoWorkshops 2006: 91-102 |
| 16 | | Jean-Pierre Norguet,
Benjamin Tshibasu-Kabeya,
Gianluca Bontempi,
Esteban Zimányi:
Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification.
NLDB 2006: 216-220 |
| 2005 |
|---|
| 15 |  | Patrick Emmanuel Meyer,
Olivier Caelen,
Gianluca Bontempi:
Speeding up Feature Selection by Using an Information Theoretic Bound.
BNAIC 2005: 166-173 |
| 14 | | Olivier Caelen,
Gianluca Bontempi:
How to allocate a restricted budget of leave-one-out assessments for effective model selection in machine learning: a comparison of state-of-the-art techniques.
BNAIC 2005: 51-58 |
| 13 | | Gianluca Bontempi:
Structural feature selection for wrapper methods.
ESANN 2005: 405-410 |
| 2004 |
|---|
| 12 | | Gianluca Bontempi,
Wido Kruijtzer:
The use of intelligent data analysis techniques for system-level design: a software estimation example.
Soft Comput. 8(7): 477-490 (2004) |
| 2002 |
|---|
| 11 | | Gianluca Bontempi,
Wido Kruijtzer:
A Data Analysis Method for Software Performance Prediction.
DATE 2002: 971-976 |
| 10 | | Gianluca Bontempi,
Gauthier Lafruit:
Enabling Multimedia QoS Control with Black-Box Modelling.
Soft-Ware 2002: 46-59 |
| 9 | | Edy Bertolissi,
Mauro Birattari,
Gianluca Bontempi,
Antoine Duchâteau,
Hugues Bersini:
Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches.
Fuzzy Sets and Systems 128(1): 3-14 (2002) |
| 2001 |
|---|
| 8 | | Gianluca Bontempi,
Hugues Bersini,
Mauro Birattari:
The local paradigm for modeling and control: from neuro-fuzzy to lazy learning.
Fuzzy Sets and Systems 121(1): 59-72 (2001) |
| 2000 |
|---|
| 7 | | Gianluca Bontempi,
Mauro Birattari:
A multi-steap ahead prediction method based on local dynamic properties.
ESANN 2000: 311-316 |
| 6 | | Gianluca Bontempi,
Mauro Birattari,
Hugues Bersini:
A Model Selection Approach for Local Learning.
AI Commun. 13(1): 41-48 (2000) |
| 1999 |
|---|
| 5 | | Gianluca Bontempi,
Mauro Birattari,
Hugues Bersini:
Local Learning for Iterated Time-Series Prediction.
ICML 1999: 32-38 |
| 1998 |
|---|
| 4 | | Gianluca Bontempi,
Mauro Birattari,
Hugues Bersini:
Recursive Lazy Learning for Modeling and Control.
ECML 1998: 292-303 |
| 3 | | Gianluca Bontempi,
Mauro Birattari,
Hugues Bersini:
Lazy learning for control design.
ESANN 1998: 73-78 |
| 2 | | Mauro Birattari,
Gianluca Bontempi,
Hugues Bersini:
Lazy Learning Meets the Recursive Least Squares Algorithm.
NIPS 1998: 375-381 |
| 1994 |
|---|
| 1 | | Andrea Bonarini,
Gianluca Bontempi:
A Qualitative Simulation Approach for Fuzzy Dynamical Models.
ACM Trans. Model. Comput. Simul. 4(4): 285-313 (1994) |
