Christophe G. Giraud-Carrier

According to our database1, Christophe G. Giraud-Carrier authored at least 103 papers between 1993 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Event-Participant and Incremental Planning over Event-Based Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

2020
A top-k spatial join querying processing algorithm based on spark.
Inf. Syst., 2020

2019
Diversity, accuracy and efficiency in ensemble learning: An unexpected result.
Intell. Data Anal., 2019

2018
Metalearning and Algorithm Selection: progress, state of the art and introduction to the 2018 Special Issue.
Mach. Learn., 2018

The Case for Computational Health Science.
J. Heal. Informatics Res., 2018

Preprocessor Selection for Machine Learning Pipelines.
CoRR, 2018

2017
Inductive Transfer.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Metalearning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Detecting Cognitive Distortions Through Machine Learning Text Analytics.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

The Impact of Online Social Capital on Twitter Users At-Risk for Suicide.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Informing the Use of Hyperparameter Optimization Through Metalearning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Complex Event-Participant Planning and Its Incremental Variant.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
DistR: A Distributed Method for the Reachability Query over Large Uncertain Graphs.
IEEE Trans. Parallel Distributed Syst., 2016

Analyzing the Political Sentiment of Tweets in Farsi.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Prevalence and Attitudes about Illicit and Prescription Drugs on Twitter.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Hand-to-Mouth Motion Tracking in Free-Living Conditions for Improved Weight Control.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015
Effective record linkage for mining campaign contribution data.
Knowl. Inf. Syst., 2015

Efficient mining of high-speed uncertain data streams.
Appl. Intell., 2015

The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Introduction to the workshop on computational health science.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Discovering Social Circles in Directed Graphs.
ACM Trans. Knowl. Discov. Data, 2014

An instance level analysis of data complexity.
Mach. Learn., 2014

A confidence-prioritisation approach for learning noisy data.
Int. J. Data Anal. Tech. Strateg., 2014

On the dangers of default implementations: The case of radial basis function networks.
Intell. Data Anal., 2014

Mining useful association rules from questionnaire data.
Intell. Data Anal., 2014

Behavior-based clustering and analysis of interestingness measures for association rule mining.
Data Min. Knowl. Discov., 2014

The Potential Benefits of Filtering Versus Hyper-Parameter Optimization.
CoRR, 2014

An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Recommending Learning Algorithms and Their Associated Hyperparameters.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Using Metalearning to Predict When Parameter Optimization Is Likely to Improve Classification Accuracy.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

A structured approach to ensemble learning for Alzheimer's disease prediction.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Automatic selection of classification learning algorithms for data mining practitioners.
Intell. Data Anal., 2013

Results on mining NHANES data: A case study in evidence-based medicine.
Comput. Biol. Medicine, 2013

2012
Leveraging social networks for anytime-anyplace health information.
Netw. Model. Anal. Health Informatics Bioinform., 2012

A Framework for the Design and Synthesis of Coordinated Social Systems.
Proceedings of the Social Informatics, 2012

Public health community mining in YouTube.
Proceedings of the ACM International Health Informatics Symposium, 2012

2011
A metric for unsupervised metalearning.
Intell. Data Anal., 2011

Identifying Health-Related Topics on Twitter - An Exploration of Tobacco-Related Tweets as a Test Topic.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Social Capital and Language Acquisition during Study Abroad.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Inductive Transfer.
Proceedings of the Encyclopedia of Machine Learning, 2010

Metalearning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Meta-Learning - Concepts and Techniques.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

On the importance of sharing negative results.
SIGKDD Explor., 2010

A topological embedding of the lexicon for semantic distance computation.
Nat. Lang. Eng., 2010

Applications of data mining in software engineering.
Int. J. Data Anal. Tech. Strateg., 2010

Bonding vs. Bridging Social Capital: A Case Study in Twitter.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

2009
Meta-Learning.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Stages of Knowledge Discovery in E-Commerce Sites.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Data Mining Tool Selection.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Implicit affinity networks and social capital.
Inf. Technol. Manag., 2009

Bariatric surgery performance: A predictive informatics case study.
Intell. Data Anal., 2009

Ranking Search Results for Translated Content.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

Fused Multi-modal Deduplication.
Proceedings of The 2009 International Conference on Data Mining, 2009

Metalearning - Applications to Data Mining.
Cognitive Technologies, Springer, ISBN: 978-3-540-73262-4, 2009

2008
A method for computing lexical semantic distance using linear functionals.
J. Web Semant., 2008

Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

New Insights into Learning Algorithms and Datasets.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Social Capital in the Blogosphere: A Case Study.
Proceedings of the Social Information Processing, 2008

2007
Personalizing E-Commerce with Data Mining.
Proceedings of the E-Service Intelligence: Methodologies, Technologies and Applications, 2007

Learning by Discrimination: A Constructive Incremental Approach.
J. Comput., 2007

Metric-Based Data Mining Model for Genealogical Record Linkage.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

Transfer Learning in Decision Trees.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Cooperation-based Clustering for Profit-maximizing Organizational Design.
Proceedings of the International Joint Conference on Neural Networks, 2006

Learning the Threshold in Hierarchical Agglomerative Clustering.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Temporal Data Mining in Dynamic Feature Spaces.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Learning Concept Descriptions with Typed Evolutionary Programming.
IEEE Trans. Knowl. Data Eng., 2005

Incremental Development of Adaptive Behaviors using Trees of Self-Contained Solutions.
Adapt. Behav., 2005

The data mining advisor: meta-learning at the service of practitioners.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Meta-Learning.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Introduction to the Special Issue on Meta-Learning.
Mach. Learn., 2004

Using Meta-Learning to Support Data Mining.
Int. J. Comput. Sci. Appl., 2004

Inducing Classification Rules from Highly-Structured Data with Composition.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

SwissAnalyst - Data Mining without the Entry Ticket.
Proceedings of the Artificial Intelligence Applications and Innovations, 2004

An Extranet Waste Inventory Application.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

2003
Characterising Data Mining software.
Intell. Data Anal., 2003

2002
Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002

2001
Model of Familiarity Discrimination in the Perirhinal Cortex.
J. Comput. Neurosci., 2001

Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex.
Neurocomputing, 2001

A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Evolution, Adaption, and Behavioural Holism in Artificial Intelligence.
Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

Detection of Infectious Outbreaks in Hospitals through Incremental Clustering.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
A Note on the Utility of Incremental Learning.
AI Commun., 2000

Discovering Task Neighbourhoods Through Landmark Learning Performances.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Higher-order Approach to Meta-learning .
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Frequency-Based Error Back-Propagation in a Cortical Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Meta-Learning by Landmarking Various Learning Algorithms.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Classification of Individuals with Complex Structure.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Learning from Highly Structured Data by Decomposition.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Predicting Chemical Carcinogenesis Using Structural Information Only.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Evolutionary Programming of Near-Optimal Neural Networks.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

An Evolutionary Approach to Concept Learning with Structured Data.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

1998
BRAINN: A Connectionist Approach to Symbolic Reasoning.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Strongly Typed Inductive Concept Learning.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning.
Proceedings of the Hybrid Neural Systems, 1998

1997
GA-RBF: A Self-Optimising RBF Network.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1995
Analysis of the Convergence and Generalization of AA1.
J. Parallel Distributed Comput., 1995

An Integrated Framework for Learning and Reasoning.
J. Artif. Intell. Res., 1995

Sensor selection: a geometrical approach.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1995

AA1*: A Dynamic Incremental Network that Learns by Discrimination.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1994
A Reconfigurable Data Flow Machine for Implementing Functional Programming Languages.
ACM SIGPLAN Notices, 1994

1993
Using precepts to augment training set learning.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993


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