Results 51 to 60 of about 8,972,433 (325)

Machine learning and essentialism

Philosophical Problems in Science (Zagadnienia Filozoficzne w Nauce), 2022
Machine learning and essentialism have been connected in the past by various researchers, in order to state that the main paradigm in machine learning processes is equivalent to choosing the “essential” attributes for the machine to search for. Our goal in this paper is to show that there are connections between machine learning and essentialism, but ...
Kristina Šekrst, Sandro Skansi
openaire   +4 more sources

Contour-Aware Polyp Segmentation in Colonoscopy Images Using Detailed Upsampling Encoder-Decoder Networks

IEEE Access, 2020
Colorectal cancer has become one of the most common cause of cancer mortality worldwide, with a five-year survival rate of over 50%. Additionally, the potential of some common polyp types to progress to colorectal cancer is considered high.
Ngoc-Quang Nguyen, Duc My Vo, Sang-Woong Lee   +2 more
doaj   +1 more source

Quantitative Assessment of Low-Dose Photodynamic Therapy Effects on Diabetic Wound Healing Using Raman Spectroscopy

Pharmaceutics, 2023
One of challenges that faces diabetes is the wound healing process. The delayed diabetic wound healing is caused by a complicated molecular mechanism involving numerous physiological variables.
Hala Zuhayri, Alice A. Samarinova, Alexey V. Borisov, David A. Lopez Guardado, Houssain Baalbaki, Natalya A. Krivova, Yury V. Kistenev   +6 more
doaj   +1 more source

Explainable AI: A Review of Machine Learning Interpretability Methods

Entropy, 2020
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.
Pantelis Linardatos, Vasilis Papastefanopoulos, S. Kotsiantis   +2 more
semanticscholar   +1 more source

Multinational License Plate Recognition Using Generalized Character Sequence Detection

IEEE Access, 2020
Automatic license plate recognition (ALPR) is generally considered a solved problem in the computer vision community. However, most of the current works on ALPR are designed to work on license plates (LP) from specific countries and use country-specific ...
Chris Henry, Sung Yoon Ahn, Sang-Woong Lee   +2 more
doaj   +1 more source

In Vivo Quantification of the Effectiveness of Topical Low-Dose Photodynamic Therapy in Wound Healing Using Two-Photon Microscopy

Pharmaceutics, 2022
The effect of low-dose photodynamic therapy on in vivo wound healing with topical application of 5-aminolevulinic acid and methylene blue was investigated using an animal model for two laser radiation doses (1 and 4 J/cm2).
Hala Zuhayri, Viktor V. Nikolaev, Anastasia I. Knyazkova, Tatiana B. Lepekhina, Natalya A. Krivova, Valery V. Tuchin, Yury V. Kistenev   +6 more
doaj   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Objective criteria for explanations of machine learning models

Applied AI Letters, 2021
Objective criteria to evaluate the performance of machine learning (ML) model explanations are a critical ingredient in bringing greater rigor to the field of explainable artificial intelligence.
Chih‐Kuan Yeh, Pradeep Ravikumar
doaj   +1 more source

A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry

Energies, 2021
Selection of the most suitable drill bit type is an important task for drillers when planning for new oil and gas wells. With the advancement of intelligent predictive models, the automated selection of drill bit type is possible using earlier drilled ...
Saurabh Tewari, Umakant Dhar Dwivedi, Susham Biswas   +2 more
doaj   +1 more source

Synthetic learning machines [PDF]

BioData Mining, 2014
Using a collection of different terminal nodesize constructed random forests, each generating a synthetic feature, a synthetic random forest is defined as a kind of hyperforest, calculated using the new input synthetic features, along with the original features.Using a large collection of regression and multiclass datasets we show that synthetic random
Hemant Ishwaran, James D. Malley
openaire   +2 more sources