Results 11 to 20 of about 244,685 (311)

ML Interpretability: Simple Isn’t Easy [PDF]

open access: yes, 2022
The interpretability of ML models is important, but it is not clear what it amounts to. So far, most philosophers have discussed the lack of interpretability of black-box models such as neural networks, and methods such as explainable AI that aim to make
Räz, Tim
core   +5 more sources

Philosophy of science at sea: Clarifying the interpretability of machine learning [PDF]

open access: yes, 2022
In computer science, there are efforts to make machine learning more interpretable or explainable, and thus to better understand the underlying models, algorithms, and their behavior. But what exactly is interpretability, and how can it be achieved? Such
Räz, Tim   +3 more
core   +2 more sources

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results [PDF]

open access: yes, 2016
The vast majority of Ant Colony Optimization (ACO) algorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt-MinerPB algorithm, where an
Otero, Fernando E.B., Freitas, Alex A.
core   +1 more source

Interpretability indices for hierarchical fuzzy systems [PDF]

open access: yes, 2017
Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve interpretability of fuzzy logic systems (FLSs). In recent years, a variety of indices have been proposed to measure the interpretability of FLSs such as the Nauck index ...
T. R. Razak   +15 more
core   +1 more source

Interpretability and complexity of design in the\ud creation of fuzzy logic systems: a user study [PDF]

open access: yes, 2018
In recent years, researchers have become increasingly more interested in designing an interpretable Fuzzy Logic System (FLS). Many studies have claimed that reducing the complexity of FLSs can lead to improved model interpretability.
Razak, T.R.   +19 more
core   +1 more source

Interpretability challenges in machine learning models [PDF]

open access: yes, 2021
Decisions based on Machine Learning (ML) algorithms are having an increasingly significant social impact; however, most of these systems are based on black box algorithms, models whose rules are not understandable to humans.
Gómez González, Daniel   +2 more
core  

Interpretability-Guided Content-Based Medical Image Retrieval [PDF]

open access: yes, 2020
When encountering a dubious diagnostic case, radiologists typically search in public or internal databases for similar cases that would help them in their decision-making process.
Pöllinger, Alexander   +7 more
core   +1 more source

Interpretability of linguistic variables: a formal account [PDF]

open access: yes, 2005
summary:This contribution is concerned with the interpretability of fuzzy rule-based systems. While this property is widely considered to be a crucial one in fuzzy rule-based modeling, a more detailed formal investigation of what “interpretability ...
Bauer, Peter, Bodenhofer, Ulrich
core   +1 more source

Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability

open access: yesFrontiers in Oncology, 2022
BackgroundMicrosatellite instability (MSI) is associated with several tumor types and has become increasingly vital in guiding patient treatment decisions; however, reasonably distinguishing MSI from its counterpart is challenging in clinical practice ...
Jin Zhu   +7 more
doaj   +1 more source

The Interpreters

open access: yesM@n@gement, 2022
Data we collect and use in organisation and management studies look like ‘cold cases’. We want to offer more conversations, interpretations, arguments and even disputes. The ‘Interpreters’ is a nexus where academics invite colleagues and friends to analyse and discuss freely an argument, raw data, cases and qualitative materials.
Pomiès, Anissa   +3 more
openaire   +4 more sources

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