| Preface |
|
| Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas) |
|
| Clustering Time Series Data with Distance Matrices (O. Şeref, W.A. Chaovalitwongse) |
|
| Mathematical Models of Supervised Learning and Application to Medical Diagnosis (R. De Asmundis, M.R. Guarracino) |
|
| Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease (E.K. Lee, T.-L. Wu, F. Goldstein, A. Levey) |
|
| Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random (B. Chen, R.J. Cook) |
|
| Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis (I.A. Kakadiaris, E.G.M. Ruiz) |
|
| An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data (G. Gazzola, C.-A. Chou, M.K. Jeong, W.A. Chaovalitwongse) |
|
| Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System (F. Panetsos, A. Sanchez-Jimenez, C. Herrera-Rincon) |
|
| EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism (V. Sakkalis, K. Marias) |
|
| Maximal Connectivity and Constraints in the Human Brain (R.V. Belavkin) |
|
| Preface |
|
| Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas) |
|
| Clustering Time Series Data with Distance Matrices (O. Şeref, W.A. Chaovalitwongse) |
|
| Mathematical Models of Supervised Learning and Application to Medical Diagnosis (R. De Asmundis, M.R. Guarracino) |
|
| Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease (E.K. Lee, T.-L. Wu, F. Goldstein, A. Levey) |
|
| Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random (B. Chen, R.J. Cook) |
|
