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Career

· Computer Lab

Publications (57)

Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
Computers and Chemistry · 2001
648
cited
The Generalized FITC Approximation
Neural Information Processing Systems · 2007
99
cited
Machine Learning for First-Order Theorem Proving
Journal of automated reasoning · 2014
97
cited
Performance Degradation in Boosting
International Workshop on Multiple Classifier Systems · 2001
67
cited
Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics
bioRxiv · 2015
55
cited
Generalization and PAC learning: some new results for the class of generalized single-layer networks
IEEE Trans. Neural Networks · 1995
46
cited
Support Vector Machines in Combinatorial Chemistry
2001
43
cited
Support Vector Machines for ADME Property Classification
2003
39
cited
On the Practical Applicability of VC Dimension Bounds
Neural Computation · 1995
34
cited
Robust Regression with Twinned Gaussian Processes
Neural Information Processing Systems · 2007
28
cited
PAC-like upper bounds for the sample complexity of leave-one-out cross-validation
Annual Conference Computational Learning Theory · 1996
24
cited
Machine Learning for Automated Theorem Proving: Learning to Solve SAT and QSAT
Found. Trends Mach. Learn. · 2021
23
cited
A systematic review of nutraceutical interventions for mitochondrial dysfunctions in myalgic encephalomyelitis/chronic fatigue syndrome
Journal of Translational Medicine · 2021
17
cited
Quantifying Generalization in Linearly Weighted Neural Networks
Complex Systems · 1994
17
cited
Average-Case Learning Curves for Radial Basis Function Networks
Neural Computation · 1997
15
cited
Exploring Structural Inductive Biases in Emergent Communication
arXiv.org · 2020
15
cited
Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation
Bioinform. · 2018
14
cited
Beyond location check-ins: Exploring physical and soft sensing to augment social check-in apps
Annual IEEE International Conference on Pervasive Computing and Communications · 2015
13
cited
On the power of polynomial discriminators and radial basis function networks
Annual Conference Computational Learning Theory · 1993
10
cited
On the theory of generalization and self-structuring in linearly weighted connectionist networks
1993
10
cited
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