Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 5
Podobnostna mreža slik
Jan Hartman, Blaž Zupan
Diplomsko delo
Oznake: podobnostna mreža slik;interaktivni pregledovalnik slik;konvolucijske nevronske mreže;vložitve slik;zmanjševanje dimenzij;Orange;
V diplomskem delu smo razvili novo orodje za interaktivno pregledovanje slik. Orodje za izboljšan prikaz slik kombinira uporabo globokega učenja z drugimi tehnikami podatkovne analitike. Predlagana rešitev je sestavljena iz več zaporedno povezanih metod. Prvi korak je obdelava slik z uporabo konvolu ...
Leto: 2018 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Using market exploration to deal with censored data in real-time bidding
Jan Hartman, Jure Demšar, Erik Štrumbelj
Magistrsko delo
Oznake: censored data;click-through rate prediction;real-time bidding;incremental learning;big data;demand-side platform;computer science;computer and information science;master's thesis;
Real-time bidding is a fast-growing part of online advertising in which ad space on websites is sold in real-time while the page is still loading. The ad space is sold in auctions where several bidders compete. One of the central problems in RTB is click-through rate prediction, which has to deal wi ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
ǂA ǂcomparison of click-through rate prediction models in real-time-bidding
Anže Alič, Jure Demšar, Jan Hartman
Magistrsko delo
Oznake: artificial intelligence;machine learning;click-through rate prediction;real-time bidding;incremental learning;big data;demand-side platform;computer science;master's thesis;
Accurately predicting user clicks is crucial for the success of online advertising in the real-time bidding industry. In this thesis, our goal is to conduct a thorough comparison and evaluation of click-through rate prediction models commonly used in practice. Our advantage lies in our unified imple ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Evaluating model tradeoffs for click prediction
Matej Kalc, Jure Demšar, Jan Hartman, Davorin Kopič
Diplomsko delo
Oznake: CTR prediction;factorization machines;deep learning;online learning;Bayesian optimization;computer and information science;diploma thesis;
In the context of online advertising, Click-Through Rate (CTR) is the probability that a user clicks on an ad. CTR prediction is done using machine learning methods, such as Factorization machines (FM) and neural networks. Various improved versions of these traditional approaches have been proposed ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Democratized image analytics by visual programming through integration of deep models and small-scale machine learning
Primož Godec, Matjaž Pančur, Nejc Ilenič, Andrej Čopar, Martin Stražar, Aleš Erjavec, Ajda Pretnar, Janez Demšar, Anže Starič, Marko Toplak, Lan Žagar, Jan Hartman, Wang Hamilton, Riccardo Bellazzi, Uroš Petrovič, Silvia Garagna, Maurizio Zuccotti, Dongsu Park, Gad Shaulsky, Blaž Zupan
Izvirni znanstveni članek
Oznake: algorithm;biochemical composition;data assimilation;data mining;image analysis;machine learning;numerical model;protein;visualization;
Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we use the visual programming toolbox Orange (http://or ...
Leto: 2019 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 5
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: