Statistical analysis of proteomics data: a review on feature selection

M Lualdi, M Fasano - Journal of proteomics, 2019 - Elsevier
The spread of “-omics” strategies has strongly changed the way of thinking about the
scientific method. Indeed, managing huge amounts of data imposes the replacement of the …

[HTML][HTML] Inductive reasoning in humans and large language models

SJ Han, KJ Ransom, A Perfors, C Kemp - Cognitive Systems Research, 2024 - Elsevier
The impressive recent performance of large language models has led many to wonder to
what extent they can serve as models of general intelligence or are similar to human …

A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions

R Zhao, Y Li, Y Fan, F Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous driving (AD) endows vehicles with the capability to drive partly or entirely
without human intervention. AD agents generate driving policies based on online perception …

How to choose an appropriate research data collection method and method choice among various research data collection methods and method choices during Ph. D …

GHR GHR, PS Aithal - International Journal of Management …, 2022 - papers.ssrn.com
Purpose: The purpose of this article is to explain the characteristics of data (qualitative and
quantitative), secondary data, primary data, various primary data collection methods, data …

Examining the application of retroductive theorizing in realist-informed studies

FC Mukumbang, EM Kabongo… - International Journal of …, 2021 - journals.sagepub.com
Introduction: Transcendental realism, the philosophical perspective dealing with the
existence of causal powers governed by universal laws of nature, provides a useful …

Generalization bias in science

U Peters, A Krauss, O Braganza - Cognitive science, 2022 - Wiley Online Library
Many scientists routinely generalize from study samples to larger populations. It is commonly
assumed that this cognitive process of scientific induction is a voluntary inference in which …

[HTML][HTML] Assessing Indonesian student inductive reasoning: Rasch analysis

S Soeharto, B Csapó - Thinking Skills and Creativity, 2022 - Elsevier
Inductive reasoning is an ability related to student academic achievement and is embedded
in 21 st-century competency frameworks. The purpose of this study was to evaluate …

A property induction framework for neural language models

K Misra, JT Rayz, A Ettinger - arXiv preprint arXiv:2205.06910, 2022 - arxiv.org
To what extent can experience from language contribute to our conceptual knowledge?
Computational explorations of this question have shed light on the ability of powerful neural …

A test of two processes: The effect of training on deductive and inductive reasoning

RG Stephens, JC Dunn, BK Hayes, ML Kalish - Cognition, 2020 - Elsevier
Dual-process theories posit that separate kinds of intuitive (Type 1) and reflective (Type 2)
processes contribute to reasoning. Under this view, inductive judgments are more heavily …

Human-like property induction is a challenge for large language models

SJ Han, KJ Ransom, A Perfors… - Proceedings of the annual …, 2022 - escholarship.org
The impressive recent performance of large language models such as GPT-3 has led many
to wonder to what extent they can serve as models of general intelligence or are similar to …