A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics

AbstractPeople with color vision deficiency (CVD) have a reduced capability to discriminate different colors. This impairment can cause inconveniences in the individuals’ daily lives and may even expose them to dangerous situations, such as failing to read traffic signals. CVD affects approximately 200 million people worldwide. In order to compensate for CVD, a significant number of image recoloring studies have been proposed. In this survey, we briefly review the representative existing recoloring methods and categorize them according to their methodological characteristics. Concurrently, we summarize the evaluation metrics, both subjective and quantitative, introduced in the existing studies and compare the state-of-the-art studies using the experimental evaluation results with the quantitative metrics.

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Out-of-round railway wheels-a literature survey

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit ◽

10.1243/0954409001531351 ◽

2000 ◽

Vol 214 (2) ◽

pp. 79-91 ◽

Cited By ~ 111

Author(s):

J. C. O. Nielsen ◽

A Johansson

Keyword(s):

Mathematical Models ◽

State Of The Art ◽

Literature Survey ◽

The State ◽

Impact Loads ◽

Experimental Detection ◽

Vehicle Components ◽

Railway Wheels

This literature survey discusses the state-of-the-art in research on why out-of-round railway wheels are developed and on the damage they cause to track and vehicle components. Although the term out-of-round wheels can be attributed to a large spectrum of different wheel defects, the focus here is on out-of-round wheels with long wavelengths, such as the so-called polygonalization with 1-5 harmonics (wavelengths) around the wheel circumference. Topics dealt with in the survey include experimental detection of wheel/rail impact loads, mathematical models to predict the development and consequences of out-of-round wheels, criteria for removal of out-of-round wheels and suggestions on how to reduce the development of out-of-round wheels.

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Frequent items in streaming data: An experimental evaluation of the state-of-the-art

Data & Knowledge Engineering ◽

10.1016/j.datak.2008.11.001 ◽

2009 ◽

Vol 68 (4) ◽

pp. 415-430 ◽

Cited By ~ 53

Author(s):

Nishad Manerikar ◽

Themis Palpanas

Keyword(s):

Experimental Evaluation ◽

State Of The Art ◽

The State ◽

Streaming Data ◽

Frequent Items

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A literature survey on humidification dehumidification desalination processes

MATEC Web of Conferences ◽

10.1051/matecconf/202033001027 ◽

2020 ◽

Vol 330 ◽

pp. 01027

Author(s):

Leila Zili-Ghedira ◽

Hana Gouider ◽

Sassi Ben Nasrallah

Keyword(s):

Reverse Osmosis ◽

Water Scarcity ◽

Geothermal Energy ◽

Potable Water ◽

State Of The Art ◽

Literature Survey ◽

The State

Potable water scarcity can be considered as a challenge nowadays and at least in the nearest future. Many factors contribute to such situation. Common techniques for desalination purpose include multistage flash, multi-effect distillation and reverse osmosis dedicated essentially to large scales. Humidification Dehumidification Desalination systems appear as low scale installations mainly powered by renewable or geothermal energy. This paper focuses on the state of the art of such installations. It discusses their types, their composition and the available models treating them and their outputs, the plants optimization procedures as well as productivity and costs of these systems. The study aims also the futures of such installations.

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Multi-Document Summarization with Determinantal Point Process Attention

Journal of Artificial Intelligence Research ◽

10.1613/jair.1.12522 ◽

2021 ◽

Vol 71 ◽

pp. 371-399

Author(s):

Laura Perez-Beltrachini ◽

Mirella Lapata

Keyword(s):

Point Process ◽

Experimental Evaluation ◽

Point Processes ◽

State Of The Art ◽

The State ◽

Attention Mechanism ◽

Determinantal Point Processes ◽

Determinantal Point Process ◽

Document Summarization

The ability to convey relevant and diverse information is critical in multi-document summarization and yet remains elusive for neural seq-to-seq models whose outputs are often redundant and fail to correctly cover important details. In this work, we propose an attention mechanism which encourages greater focus on relevance and diversity. Attention weights are computed based on (proportional) probabilities given by Determinantal Point Processes (DPPs) defined on the set of content units to be summarized. DPPs have been successfully used in extractive summarisation, here we use them to select relevant and diverse content for neural abstractive summarisation. We integrate DPP-based attention with various seq-to-seq architectures ranging from CNNs to LSTMs, and Transformers. Experimental evaluation shows that our attention mechanism consistently improves summarization and delivers performance comparable with the state-of-the-art on the MultiNews dataset

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Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2021/285 ◽

2021 ◽

Author(s):

Matthias Thimm ◽

Federico Cerutti ◽

Mauro Vallati

Keyword(s):

Experimental Evaluation ◽

State Of The Art ◽

The State ◽

Ideal Extension ◽

New Approach ◽

Admissible Sets ◽

Abstract Argumentation ◽

Sat Solver ◽

The Ideal

We address the problem of deciding skeptical acceptance wrt. preferred semantics of an argument in abstract argumentation frameworks, i.e., the problem of deciding whether an argument is contained in all maximally admissible sets, a.k.a. preferred extensions. State-of-the-art algorithms solve this problem with iterative calls to an external SAT-solver to determine preferred extensions. We provide a new characterisation of skeptical acceptance wrt. preferred semantics that does not involve the notion of a preferred extension. We then develop a new algorithm that also relies on iterative calls to an external SAT-solver but avoids the costly part of maximising admissible sets. We present the results of an experimental evaluation that shows that this new approach significantly outperforms the state of the art. We also apply similar ideas to develop a new algorithm for computing the ideal extension.

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Practical Picture Processing

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051700 ◽

1974 ◽

Vol 32 ◽

pp. 338-339

Author(s):

T. A. Welton

Keyword(s):

Radiation Damage ◽

Coherence Length ◽

Spatial Information ◽

State Of The Art ◽

Coherent Radiation ◽

The State ◽

Energy Spread ◽

Electron Micrograph ◽

Picture Processing ◽

Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

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