Martín G. Marchetta

National University of Cuyo | UNCUYO · LABSIN

Even though a train/test split of the dataset randomly performed is a common practice, could not always be the best approach for estimating performance generalization under some scenarios. The fact is that the usual machine learning methodology can sometimes overestimate the generalization error when a dataset is not representative or when rare and...

Forest detection in remote sensing data is essential for important applications such as detection of area desertification, flooding simulation, forest health analysis, or conversion of digital elevation models. Existing techniques have open issues: they do not generalize well to different scenarios, they lack accuracy, and they require human interv...

Un sistema basado en comportamientos (Behavior Based System) es aquel que descompone el control en unidades, llamadas comportamientos, que reaccionan independientemente a las situaciones percibidas por los sensores. El comportamiento global del sistema emerge de la combinación de dichas unidades. El diseño de los comportamientos está basado en el p...

Deep Learning algorithms have achieved great progress in different applications due to their training capabilities, parameter reduction and increased accuracy. Image processing is a particular area that has received recent attention promoted by the growing processing power and data availability. Remote sensing devices provide image-like data that c...

Processing of data gathered from remote sensing devices like satellite and aircraft-based sensors can provide useful information about important phenomena related to the earth, like volcano shape and activity, glacier and icebergs tracking, urban monitoring, forestation changes, among others. Particularly, forestation detection is useful in differe...

Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving, user interfaces, etc. Multiple techniques have been developed in the last two decades to achieve accurate disparity maps in short time. With the arrival of Deep Leaning architectures, different fields of...

Nowadays, in order for wine companies to reach a world-class standard, it is necessary to implement the industry best practices and continuously adapt their logistics processes. Through benchmarking, these enterprises can find opportunities for improvement. So far, little research in benchmarking and performance measurement has been developed for t...

Product Lifecycle Management (PLM) has been identified as a key concept within manufacturing industries for improving product quality, time-to-market and costs. Previous works on this field are focused on processes, functions and information models, and those aimed at putting more intelligence on products are related to specific parts of the produc...

Within manufacturing, features have been widely accepted as useful concepts, and in particular they are used as an interface between CAD and CAPP systems. Previous research on feature recognition focus on the issues of intersecting features and multiple interpretations, but do not address the problem of custom features representation. Representatio...

In the context of Computer Aided Process Planning (CAPP), feature recognition as well as the generation of manufacturing process plans are very diffi cult problems. The selection of the best manufacturing process plan usually involves not only measurable factors, but also idiosyncrasies, preferences and the know-how of both the company and the manu...

Modern organization paradigms within manufacturing enterprises have arose in last years, like Agile Manufacturing and collaboration, in order for enterprises to increase their productivity and be more competitive in front of shorter due dates and increasing product qualities required by customers. Most previous works on PLM and currently available...

Most of the available plan recognition techniques are based on the use of a plan library in order to infer user's intentions and/or strategies. Until some years ago, plan libraries were completely hand coded by human experts, which is an expensive, error prone and slow process. Besides, plan recognition systems with hand-coded plan libraries are no...

Most of the available plan recognition techniques are based on the use of a plan library in order to infer user’s intentions and/or strategies. Until some years ago, plan libraries were completely hand coded by human experts, which is an expensive, error prone and slow process. Besides, plan recognition systems with hand-coded plan libraries are no...

Abstract Several approaches,and systems have been,proposed,in generative Computer,Aided Process Planning field (CAPP), with different advantages and drawbacks. Most of these works are based on expert systems, production rules or special-purpose planning systems. In expert systems,and,production,rules systems much knowledge representation is require...