This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Abstract. This paper proposes a tool to support reasoning about (partial) correctness of constraint logic programs. The tool infers a speci cation that approximates the semantics o...
We propose a method for inferring parameterized regular types for logic programs as solutions for systems of constraints over sets of finite ground Herbrand terms (set constraint s...
Francisco Bueno, Jorge A. Navas, Manuel V. Hermene...
We present a type system for checking object immutability, read-only references, and class immutability in an open or closed world. To allow object initialization outside object co...
This paper presents a program analysis to estimate uncaught exceptions in ML programs. This analysis relies on unification-based type inference in a non-standard type system, usi...