Zobrazeno 1 - 10 of 101 pro vyhledávání: '"Manfred Huber"'
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Akademický článek
Using Bias Parity Score to Find Feature-Rich Models with Least Relative Bias
Autor: Bhanu Jain, Manfred Huber, Ramez Elmasri, Leonidas Fegaras
Publikováno v: Technologies, Vol 8, Iss 4, p 68 (2020)
Machine learning-based decision support systems bring relief and support to the decision-maker in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These support systems faci
Externí odkaz: https://doaj.org/article/d452ad17b4f6472eb4f66388af790e67
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2
Recognition of Object Presence and Material Type in a Water Container Using High Frequency Ultrasound
Autor: Mehul Vishal Sadh, Manfred Huber
Publikováno v: The International FLAIRS Conference Proceedings. 36
Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring for health applications. In pa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45ee8fb4fef3b5a475b447c3a255e9b0
https://doi.org/10.32473/flairs.36.133313
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3
PerFC: An Efficient 2D and 3D Perception Software-Hardware Framework for Mobile Cobot
Autor: Tuan Dang, Khang Nguyen, Manfred Huber
Publikováno v: The International FLAIRS Conference Proceedings. 36
In this work, we present an end-to-end software-hardware framework that supports both conventional hardware and software components and integrates machine learning object detectors without requiring an additional dedicated graphic processor unit (GPU
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4332e51402e455b11c038a7da44e778
https://doi.org/10.32473/flairs.36.133316
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4
Learning Sensor Based Risk Map Augmentation for Risk Aware UAS Operation
Autor: Bhaskar Trivedi, Manfred Huber
Publikováno v: The International FLAIRS Conference Proceedings. 36
Unmanned Aerial Systems (UAS) have become increasingly popular and have been identified as a good platform for a range of tasks from surveillance and inspection to delivery and maintenance. In many of these applications these systems have to operate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16e662ca088504a1ac0c47fd771b2145
https://doi.org/10.32473/flairs.36.133323
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5
Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering
Autor: Subharag Sarkar, Manfred Huber
Publikováno v: The International FLAIRS Conference Proceedings. 36
Prediction of user preferences is a challenge, in particular when the objective is to learn them without requiring the user to provide a profile or a significant number of interactions. Many collaborative filtering algorithms exist but all of them re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e95ea4a127a963e40a8a36920f2781b5
https://doi.org/10.32473/flairs.36.133318
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6
Learning Policies for Neural Network Architecture Optimization Using Reinforcement Learning
Autor: Raghav Vadhera, Manfred Huber
Publikováno v: The International FLAIRS Conference Proceedings. 36
Deep learning systems tend to be very sensitive to the specific network architecture both in terms of learning ability and performance of the learned solution. This, together with the difficulty of tuning neural network architectures leads to a need
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4e19f454dc0139d335dc87ade5dff46
https://doi.org/10.32473/flairs.36.133380
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9
Selection of an Ideal Machine Learning Framework for Predicting Perturbation Effects on Network Topology of Bacterial KEGG Pathways
Autor: Michael Robben, Mohammad Sadegh Nasr, Avishek Das, Manfred Huber, Justyn Jaworski, Jon Weidanz, Jacob Luber
Biological networks for bacterial species are used to assign functional information to newly sequenced organisms but network quality can be largely affected by poor gene annotations. Current methods of gene annotation use homologous alignment to dete
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::836c8f46fe3d453ce61012b314ec6b21
https://doi.org/10.1101/2022.07.21.501034
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