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- 2023
-
Mark
Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
(
- Master (Two yrs)
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Mark
Exploring New Physics Through Collider and Gravitational Wave Measurements with Artificial Neural Networks: the Case Study of QCD-like Technicolor
(
- Master (One yr)
- 2022
-
Mark
Identifying Piggybacking with Radar and Neural Networks
(
- Master (Two yrs)
-
Mark
Speaker verification: Advantages and limitations of a biologically inspired feature extractor
(
- Master (Two yrs)
- 2021
-
Mark
A System for Affective Touch in Humanoid and Social Robotics
(
- Master (Two yrs)
- 2020
-
Mark
Deep Learning Approach to Material Properties
(
- Bach. Degree
-
Mark
Training Bayesian Neural Networks
(
- Master (One yr)
-
Mark
Evaluating VaR and ES for commodities - both conventionally and with neural networks
(
- Master (One yr)
-
Mark
Estimation of Red Blood Cell-Count using Neural Networks
(
- Master (Two yrs)
- 2019
-
Mark
Self-Adaptive Mutation Operators for Genetic Neural Networks in Survival Analysis
2019) FYTK02 20182(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
-
Mark
Microarray Quality Control using Artificial Neural Networks
2019) FYTM03 20191(
Department of Astronomy and Theoretical Physics - Undergoing reorganization
Computational Biology and Biological Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Artificial Neural Networks to Solve Inverse Problems in Quantum Physics
(
- Master (Two yrs)
- 2018
-
Mark
Trainable Activation Functions For Artificial Neural Networks
2018) FYTK02 20181(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
-
Mark
Artificial Neural Networks for Enhanced Exoskeleton Grip Movement
(
- Master (Two yrs)
-
Mark
Exploring capsule network
2018) FYTK02 20181(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
- 2016
-
Mark
Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Classification in Bone Scintigraphy Images Using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Prostate Cancer Classification using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Forecasting Campaign Sales Using Artificial Neural Networks
(
- Master (Two yrs)
- 2014
-
Mark
Validation of topology evolution in artificial neural networks
(
- Bach. Degree