The past decade has seen a significant interest on the problem of inducing decision trees
that take account of costs of misclassification and costs of acquiring the features used for …

We consider semi-supervised learning, learning task from both labeled and unlabeled
instances and in particular, self-training with decision tree learners as base learners. We …

Climate change and river regulation are negatively impacting riparian vegetation. To
evaluate these impacts, process‐based models are preferred over data‐driven approaches …

Instream flow science and management requires identification of characteristic hydrological,
ecological, and geomorphological attributes of stream reaches. This study approaches this …

Application of artificial intelligence (AI) approaches in eco-environmental modeling has
gradually increased for the last decade. Comprehensive understanding and evaluation on …

The objectives of this research were:(1) to quantify indicators of riparian condition; and (2) to
assess these indicators for detecting change in riparian condition. Two multi‐spectral …

Phillips, Jonathan D., 2010. Relative Importance of Intrinsic, Extrinsic, and Anthropic Factors
in the Geomorphic Zonation of the Trinity River, Texas. Journal of the American Water …

Soilmicrobial ecology plays a significant role in global ecosystems. Nevertheless, methods
of model prediction and mapping have yet to be established for soil microbial ecology. The …

Soil ecology is the foundation of the entire biosphere and plays a significant role in global
ecosystems. Soil ecology is important in the decision-making aspects of mega-construction …

Geomorphic and hydraulic units in river channels are closely linked to geodiversity and
habitats, and thus to biodiversity. In a~ 200 km reach of the lower Sabine River, in the …