- Preface
Christophe Costa Florencio, Jan Ramon, Fabrizio Costa and Joost Kok
- Developing Robust Synthetic Biology designs using a Microfluidic Robot Scientist
Stephen Muggleton
- Challenges in relational and probabilistic data mining: a peptidomics case study
Walter Luyten
- Optimization and Evaluation of Probabilistic-Logic Sequence Models
Henning Christiansen and Ole Torp Lassen
- Modeling Temporal Biomedical Data by SRL
S. Natarajan, I. Ong, D. Haight, D. Page and V. Santos Costa
- Learning Type Extension Trees for Metal Bonding State Prediction
Andrea Passerini
- Remote Homology Detection Through Discriminative Statistical Relational Learning
Joel Bruno Santos da Costa, Juliana S Bernardes, Vítor Santos Costa and Gerson Zaverucha
- Ensemble of Dissimilarity based Classifiers for Cancer Samples Classification
Ángela Blanco, Manuel Martín-Merino and Javier De Las Rivas
- An R Package for Subtype Discovery with Example on Chemoinformatics Data
Fabrice Colas
- Constructing Signal Transduction Networks Using Multiple Signaling Feature Data
Thanh-Phuong Nguyen, Kenji Satou and Tu-Bao Ho
- Modelling the biosynthesis of glycan molecules from existing glycan structures towards the automation of glycan profiling -- problem statement
Alessio Ceroni
- Distinguishing Genetic Drift from Resistance Development in HIV -- problem statement
Christophe Theys and Leander Schietgat
- Imputing 'missing' and 'censored' values in multivariate projection methods, 'missing' links in pharmacological datamining? -- problem statement
Christophe Buyck
Note: ECML PKDD workshop papers should be considered informal technical
reports describing ongoing research. They are not to be considered papers at
the main ECML PKDD conference, and have not gone through the main ECML PKDD
reviewing procedure.
