We present a survey of the research concerning explanation and justification in the Machine Learning literature and several adjacent fields. Within Machine Learning, we differentiate between two main branches of current research: interpretable models, and prediction interpretation and justification.

The Generic Adaptation Framework research project aims to develop a new reference model for the adaptive hypermedia research field. The new model will consider new developments, techniques and methodologies in the areas of adaptive hypermedia and adjacent fields.

Early-season soybean, Glycine max L. Merrill, was evaluated in Arkansas soybean fields as a trap crop for a complex of stink bug species that included Nezara viridula L., Acrosternum hilare (Say), and Euschistus servus (Say). Early-season soybean production systems (ESPSs) are composed of indeterminate soybean cultivars planted in April. In the first year of a 2-yr study, field-scale trap crops...

Planned flooding of agricultural fields is performed to prevent erosion (e.g. sheet, gully, and rill) and provide habitat for waterfowl. As a post-harvest field treatment, flooding is becoming more common in the agriculturally dominated landscape of the Mississippi Alluvial Valley (MAV) in the southeastern United States. Despite this trend, information pertaining to water quality characteristic...

In intensive agricultural landscapes, restoration within farms could enhance biodiversity and ecosystem services such as pollination by native pollinators. Although governments and conservation groups are promoting small-scale restoration on working farms, there are few studies that assess whether these practices enhance pollinator communities in restored areas. Further, there is no information...