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Mathematics without numbers: an introduction to the study of logic

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The article was published on 2015-08-07 and is currently open access. It has received 83 citations till now.

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On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness

TL;DR: In this article, the authors put composite indicators under the spotlight, examining the wide variety of methodological approaches in existence and offered a more recent outlook on the advances made in this field over the past years.
Proceedings ArticleDOI

Evaluation of Word Vector Representations by Subspace Alignment

TL;DR: QVEC is presented—a computationally inexpensive intrinsic evaluation measure of the quality of word embeddings based on alignment to a matrix of features extracted from manually crafted lexical resources—that obtains strong correlation with performance of the vectors in a battery of downstream semantic evaluation tasks.
Journal ArticleDOI

Non-compensatory composite indicators for the evaluation of urban planning policy: The Land-Use Policy Efficiency Index (LUPEI)

TL;DR: This research paper defines and test an ELECTRE III-based approach to the construction of non-compensatory composite indicators; these indicators are used for the evaluation of environmental and social performances of urban and regional planning policies.
Journal ArticleDOI

LICOD: A Leader-driven algorithm for community detection in complex networks

TL;DR: Results show that the proposed framework for implementing LdCD algorithms outperforms top state of the art algorithms for community detection in complex networks and proposes a new way for evaluating performances of community detection algorithms.
Journal ArticleDOI

Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach

TL;DR: This work proposes an accurate heuristic algorithm called FAST that finds at least one of the consensus ranking solutions found by BB saving a lot of computational time and shows that the building block of FAST is an algorithm called QUICK that finds already one ofThe BB solutions so that it can be fruitfully considered to speed up the overall searching procedure if the number of objects is low.
References
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Journal ArticleDOI

On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness

TL;DR: In this article, the authors put composite indicators under the spotlight, examining the wide variety of methodological approaches in existence and offered a more recent outlook on the advances made in this field over the past years.
Proceedings ArticleDOI

Evaluation of Word Vector Representations by Subspace Alignment

TL;DR: QVEC is presented—a computationally inexpensive intrinsic evaluation measure of the quality of word embeddings based on alignment to a matrix of features extracted from manually crafted lexical resources—that obtains strong correlation with performance of the vectors in a battery of downstream semantic evaluation tasks.
Proceedings Article

Kemeny elections with bounded single-peaked or single-crossing width

TL;DR: One of the first results concerning the effect of nearly single-peaked electorates on the complexity of an NP-hard voting system is established, namely the fixed-parameter tractability of Kemeny elections with respect to the parameters "single- peaked width" and " single-crossing width".
Journal ArticleDOI

Non-compensatory composite indicators for the evaluation of urban planning policy: The Land-Use Policy Efficiency Index (LUPEI)

TL;DR: This research paper defines and test an ELECTRE III-based approach to the construction of non-compensatory composite indicators; these indicators are used for the evaluation of environmental and social performances of urban and regional planning policies.
Journal ArticleDOI

LICOD: A Leader-driven algorithm for community detection in complex networks

TL;DR: Results show that the proposed framework for implementing LdCD algorithms outperforms top state of the art algorithms for community detection in complex networks and proposes a new way for evaluating performances of community detection algorithms.