Human–autonomy teaming: A review and analysis of the empirical literature

T O'Neill, N McNeese, A Barron, B Schelble - Human factors, 2022 - journals.sagepub.com
Objective We define human–autonomy teaming and offer a synthesis of the existing
empirical research on the topic. Specifically, we identify the research environments …

Preprocessing breast cancer data to improve the data quality, diagnosis procedure, and medical care services

Z Sajjadnia, R Khayami, MR Moosavi - Cancer Informatics, 2020 - journals.sagepub.com
In recent years, due to an increase in the incidence of different cancers, various data
sources are available in this field. Consequently, many researchers have become interested …

Predicting breast cancer using effective classification with decision tree and k means clustering technique

S Marne, S Churi, M Marne - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Breast Cancer has been an emerging form of threat to life of women. It leads to death in
many cases. It is important to work towards the preventive and precautionary measures for …

Intelligence amplification framework for enhancing scheduling processes

A Dobrkovic, L Liu, ME Iacob… - Advances in Artificial …, 2016 - Springer
The scheduling process in a typical business environment consists of predominantly
repetitive tasks that have to be completed in limited time and often containing some form of …

Collaborative literature search system: An intelligence amplification method for systematic literature search

A Dobrkovic, DA Döppner, ME Iacob… - Designing for a Digital …, 2018 - Springer
In this paper, we present a method for systematic literature search based on the symbiotic
partnership between the human researcher and intelligent agents. Using intelligence …

How to Make Agents and Influence Teammates: Understanding the Social Influence AI Teammates Have in Human-AI Teams

C Flathmann - 2023 - search.proquest.com
The introduction of computational systems in the last few decades has enabled humans to
cross geographical, cultural, and even societal boundaries. Whether it was the invention of …

Mobile-based prediction framework for disease detection using hybrid data mining approach

M Rathi, A Gupta - Proceedings of International Conference on Artificial …, 2021 - Springer
Early detection of life-threatening diseases is a major healthcare problem and early
detection an immediate response is required to control diseases. Now a day's mobile …

Applying intelligence amplification in decision making

L Liu - 2016 - essay.utwente.nl
This thesis proposes an intelligence amplification (IA) framework to apply IA in decision
making. With this IA framework, IA is applied to solve planning problems of synchromodal …

[PDF][PDF] Research Journal of Pharmaceutical, Biological and Chemical Sciences

BV Gokulnath, G Usha Devi - researchgate.net
Data mining that is also an emerging technique used in several applications. The diagnosis
of disease through patient history can be done using data mining, clustering and pre …