Luis F. Campos - BIFI-Universidad de Zaragoza

Luis F. Campos
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Luis F. Campos
BIFI-Universidad de Zaragoza

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Pub Categories

Computer Science - Artificial Intelligence (6)
Quantitative Biology - Biomolecules (1)
Quantitative Biology - Quantitative Methods (1)
Computer Science - Learning (1)
Computer Science - Information Retrieval (1)
Physics - Mesoscopic Systems and Quantum Hall Effect (1)
Statistics - Methodology (1)
Statistics - Applications (1)

Publications Authored By Luis F. Campos

The popularity of online surveys has increased the prominence of sampling weights in claims of representativeness. Yet, much uncertainty remains regarding how these weights should be employed in the analysis of survey experiments: Should they be used or ignored? If they are used, which estimators are preferred? We offer practical advice, rooted in the Neyman-Rubin model, for researchers producing and working with survey experimental data. We examine simple, efficient estimators (Horvitz-Thompson, H\`ajek, "double-H\`ajek", and post-stratification) for analyzing these data, along with formulae for biases and variances. Read More

We have designed and synthesized five azulene derivatives containing gold- binding groups at different points of connectivity within the azulene core to probe the effects of quantum interference through single-molecule conductance measurements. We compare conducting paths through the 5-membered ring, 7-membered ring, and across the long axis of azulene. We find that changing the points of connectivity in the azulene impacts the optical properties (as determined from UV-Vis absorption spectra) and the conductivity. Read More

This paper presents a procedure to determine a complete belief function from the known values of belief for some of the subsets of the frame of discerment. The method is based on the principle of minimum commitment and a new principle called the focusing principle. This additional principle is based on the idea that belief is specified for the most relevant sets: the focal elements. Read More

In this paper we study different concepts of independence for convex sets of probabilities. There will be two basic ideas for independence. The first is irrelevance. Read More

The criterion commonly used in directed acyclic graphs (dags) for testing graphical independence is the well-known d-separation criterion. It allows us to build graphical representations of dependency models (usually probabilistic dependency models) in the form of belief networks, which make easy interpretation and management of independence relationships possible, without reference to numerical parameters (conditional probabilities). In this paper, we study the following combinatorial problem: finding the minimum d-separating set for two nodes in a dag. Read More

Decomposable dependency models and their graphical counterparts, i.e., chordal graphs, possess a number of interesting and useful properties. Read More

Information Retrieval (IR) is concerned with the identification of documents in a collection that are relevant to a given information need, usually represented as a query containing terms or keywords, which are supposed to be a good description of what the user is looking for. IR systems may improve their effectiveness (i.e. Read More

Multilabel classification is a relatively recent subfield of machine learning. Unlike to the classical approach, where instances are labeled with only one category, in multilabel classification, an arbitrary number of categories is chosen to label an instance. Due to the problem complexity (the solution is one among an exponential number of alternatives), a very common solution (the binary method) is frequently used, learning a binary classifier for every category, and combining them all afterwards. Read More

Affiliations: 1BIFI-Universidad de Zaragoza, 2BIFI-Universidad de Zaragoza, 3BIFI-Universidad de Zaragoza, 4BIFI-Universidad de Zaragoza, 5BIFI-Universidad de Zaragoza

The contribution of a specific hydrogen bond in apoflavodoxin to protein stability is investigated by combining theory, experiment and simulation. Although hydrogen bonds are major determinants of protein structure and function, their contribution to protein stability is still unclear and widely debated. The best method so far devised to estimate the contribution of side-chain interactions to protein stability is double-mutant-cycle analysis, but the interaction energies so derived are not identical to incremental binding energies (the energies quantifying net contributions of two interacting groups to protein stability). Read More