#machine learning
45 resultsCultural association based on machine learning for team formation
Hrishikesh Kulkarni, Bradly Alicea
The paper proposes a machine‑learning approach that uses a Graphical Association Method to quantify cultural similarity between individuals and apply this measure to form effective…
Using Artificial Intelligence to Augment Science Prioritization for Astro2020
Brian Thomas, Harley Thronson, Andrew Adrian +5
The paper proposes using artificial intelligence and machine learning to help the Astro2020 Decadal Survey panel analyze and prioritize scientific objectives by automatically revie…
German-Russian Astroparticle Data Life Cycle Initiative
Andreas Haungs, Igor Bychkov, Julia Dubenskaya +19
The paper describes the German‑Russian Astroparticle Data Life Cycle Initiative, which aims to build a prototype data‑life‑cycle platform for astroparticle experiments, enabling di…
Ambulance Emergency Response Optimization in Developing Countries
Justin J. Boutilier, Timothy C. Y. Chan
The paper develops a robust optimization framework, combined with machine‑learning demand and travel‑time models, to improve the placement and routing of emergency medical vehicles…
A Survey on Recent Advances in Transport Layer Protocols
Michele Polese, Federico Chiariotti, Elia Bonetto +3
The paper reviews recent developments in transport layer protocols, focusing on new congestion‑control methods, user‑space transport designs, and multipath capabilities.
Kernels on fuzzy sets: an overview
Jorge Guevara, Roberto Hirata, Stéphane Canu
The paper presents kernels defined on fuzzy sets—[0,1]-valued membership functions—as similarity measures, describing several kernel families and their use in machine‑learning task…
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design
Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi +6
The paper introduces Pyramid, a machine‑learning framework that predicts the optimal clock frequency and resource usage of high‑level synthesis (HLS) designs by calibrating HLS rep…
Development of a Fragment-Based Machine Learning Algorithm for Designing Hybrid Drugs Optimized for Permeating Gram-Negative Bacteria
Rachael A. Mansbach, Inga V. Leus, Jitender Mehla +6
The paper introduces a fragment‑based machine‑learning method called Hunting FOX that identifies chemical fragments that improve a compound’s ability to cross the outer membrane of…
What Do Citation Counts Measure? An Updated Review of Studies on Citations in Scientific Documents Published between 2006 and 2018
Iman Tahamtan, Lutz Bornmann
This paper reviews 41 studies from 2006‑2018 on what citation counts measure, focusing on citation content, context, and motivations, and highlights recent computational methods fo…
Artificial Intelligence and the Future of Psychiatry: Insights from a Global Physician Survey
P. Murali Doraiswamy, Charlotte Blease, Kaylee Bodner
The paper presents results from a global survey of 791 psychiatrists on how likely they think AI/ML will replace various psychiatric tasks, finding mixed expectations and highlight…
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
He Fang, Xianbin Wang, Stefano Tomasin
The paper proposes using machine‑learning techniques to improve authentication in 5G and future wireless networks by exploiting physical‑layer features for continuous, model‑free d…
Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement?
He Fang, Angie Qi, Xianbin Wang
The paper proposes AI‑driven methods for fast, lightweight authentication and adaptive, progressive authorization in large‑scale IoT networks, using machine learning at gateways an…
An Experiment on Measurement of Pavement Roughness via Android-Based Smartphones
Piyasak Thiandee, Boonsap Witchayangkoon, Sayan Sirimontree +1
The paper evaluates how three Android smartphones can record vibration acceleration data to estimate road roughness, comparing simple RMS calculations and machine‑learning models a…
Investigating the effect of competitiveness power in estimating the average weighted price in electricity market
Naser Rostamni, Tarik A. Rashid
The paper studies how measures of market competitiveness, especially the Residual Supply Index, affect the accuracy of daily electricity price forecasts using a neural network mode…
Repetitive Readout Enhanced by Machine Learning
Genyue Liu, Mo Chen, Yi-Xiang Liu +2
The paper demonstrates that machine‑learning analysis of the full time‑trace from repetitive quantum‑non‑demolition readout can identify measurement back‑action and improve the fid…
A Survey of Automatic Generation of Source Code Comments: Algorithms and Techniques
Xiaotao Song, Hailong Sun, Xu Wang +1
The paper surveys research on automatically generating source code comments, reviewing challenges, algorithm categories, design principles, evaluation methods, and future research…
Classifying Exoplanet Candidates with Convolutional Neural Networks: Application to the Next Generation Transit Survey
Alexander Chaushev, Liam Raynard, Michael R. Goad +13
The paper applies convolutional neural networks to automatically classify exoplanet candidates from the Next Generation Transit Survey, achieving high accuracy and reducing manual…
Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Trade-Offs
Hazem Sallouha, Alessandro Chiumento, Sreeraj Rajendran +1
The paper proposes an RSSI‑based fingerprinting method that uses a few GPS‑enabled sensors to localize other devices in ultra‑narrow‑band IoT networks like Sigfox, achieving up to…
Higgs Assisted Razor Search for Higgsinos at a 100 TeV pp Collider
Adarsh Pyarelal, Shufang Su
The paper proposes a razor‑based search strategy, enhanced with machine‑learning techniques, to discover Higgsino‑like supersymmetric particles at a future 100 TeV proton‑proton co…
Comparative Analysis of User Behavior of Dock-Based vs. Dockless Bikeshare and Scootershare in Washington, D.C
Kiana Roshan Zamir, Iryna Bondarenko, Arefeh Nasri +2
The paper compares how users of dock-based bikeshare, dockless bikeshare, and dockless scootershare in Washington, D.C. travel, using logistic regression and random forest models t…
A Novel Energy Resolved X-Ray Semiconductor Detector
Tengfei Yan, Chunlei Yang, Xiaodong Cui
The paper proposes a semiconductor detector architecture that uses energy‑dependent X‑ray absorption to achieve low‑cost, energy‑resolved (hyperspectral) X‑ray imaging, with spectr…