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Organic materials database: An open-access online database for data mining

PloS one, 2017-02, Vol.12 (2), p.e0171501

2017

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Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19

Scientific reports, 2017-08, Vol.7 (1), p.7298-7, Article 7298

2017

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Cross-correlation asymmetries and causal relationships between stock and market risk

PloS one, 2014-08, Vol.9 (8), p.e105874-e105874

2014

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Three-dimensional organic Dirac-line materials due to nonsymmorphic symmetry: A data mining approach

Physical review. B, 2017, Vol.95 (4), Article 041103

2017

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A Bayesian Additive Model for Understanding Public Transport Usage in Special Events

IEEE transactions on pattern analysis and machine intelligence, 2017-11, Vol.39 (11), p.2113-2126

2017

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Introducing synthetic pseudo panels: application to transport behaviour dynamics

Transportation (Dordrecht), 2021-10, Vol.48 (5), p.2493-2520

2021

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How to generate micro-agents? A deep generative modeling approach to population synthesis

Transportation research. Part C, Emerging technologies, 2019-09, Vol.106, p.73-97

2019

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Dynamic calibration of higher eigenmode parameters of a cantilever in atomic force microscopy by using tip-surface interactions

Beilstein journal of nanotechnology, 2014, Vol.5 (1), p.1899-1904

2014

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Resource Demand Growth and Sustainability Due to Increased World Consumption

Sustainability, 2015, Vol.7 (3), p.3430-3440

2015

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Determining surface properties with bimodal and multimodal AFM

Nanotechnology, 2014-12, Vol.25 (48), p.485708-485708

2014

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Online search tool for graphical patterns in electronic band structures

npj computational materials, 2018-08, Vol.4 (1), p.1-8, Article 46

2018

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U.S. stock market interaction network as learned by the Boltzmann machine

The European physical journal. B, Condensed matter physics, 2015, Vol.88 (12), p.1, Article 321

2015

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Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group

Scientific reports, 2017-12, Vol.7 (1)

2017

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Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

Transportation research. Part C, Emerging technologies, 2020-11, Vol.120, p.102787, Article 102787

2020

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Deep survival modelling for shared mobility

Transportation research. Part C, Emerging technologies, 2021-07, Vol.128, p.103213, Article 103213

2021

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Band Gap Prediction for Large Organic Crystal Structures with Machine Learning

Advanced quantum technologies (Online), 2019-08, Vol.2 (7-8), p.n/a

2019

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Towards novel organic high- T c superconductors: Data mining using density of states similarity search

Physical review materials, 2018, Vol.2 (2), Article 024802

2018

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Reconstruction of tip-surface interactions with multimodal intermodulation atomic force microscopy

Physical review. B, Condensed matter and materials physics, 2013-09, Vol.88 (11), p.115405, Article 115405

2013

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Chapter 2 - Machine Learning Fundamentals

Mobility Patterns, Big Data and Transport Analytics, 2019, p.9-29

2019

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Estimating causal effects with the neural autoregressive density estimator

Journal of causal inference, 2021-09, Vol.9 (1), p.211-228

2021

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Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling

Safety science, 2023-08, Vol.164, p.106153, Article 106153

2023

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Studying the physicalchemical properties of alloyed metallurgical waste as secondary resourcesaving raw materials

Eastern-European journal of enterprise technologies, 2018-08, Vol.4 (12 (94)), p.43-48

2018

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Operational Design Domain Qualification Framework for Remotely Driven Vehicles in Urban Environment

2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 2023, p.1-6

2023

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Using internet search queries to predict human mobility in social events

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, p.1342-1347

2016

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Predicting Injury-Severity for Cyclist Crashes Using Natural Language Processing and Neural Network Modelling

SSRN Electronic Journal

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Organic materials database: An open-access online database for data mining

Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group 19

Cross-correlation asymmetries and causal relationships between stock and market risk

Three-dimensional organic Dirac-line materials due to nonsymmorphic symmetry: A data mining approach

A Bayesian Additive Model for Understanding Public Transport Usage in Special Events

Introducing synthetic pseudo panels: application to transport behaviour dynamics

How to generate micro-agents? A deep generative modeling approach to population synthesis

Dynamic calibration of higher eigenmode parameters of a cantilever in atomic force microscopy by using tip-surface interactions

Resource Demand Growth and Sustainability Due to Increased World Consumption

Determining surface properties with bimodal and multimodal AFM

Online search tool for graphical patterns in electronic band structures

U.S. stock market interaction network as learned by the Boltzmann machine

Data Mining for Three-Dimensional Organic Dirac Materials: Focus on Space Group

Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

Deep survival modelling for shared mobility

Band Gap Prediction for Large Organic Crystal Structures with Machine Learning

Towards novel organic high- T c superconductors: Data mining using density of states similarity search

Reconstruction of tip-surface interactions with multimodal intermodulation atomic force microscopy

Chapter 2 - Machine Learning Fundamentals

Estimating causal effects with the neural autoregressive density estimator

Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling

Studying the physicalchemical properties of alloyed metallurgical waste as secondary resourcesaving raw materials

Operational Design Domain Qualification Framework for Remotely Driven Vehicles in Urban Environment

Using internet search queries to predict human mobility in social events

Predicting Injury-Severity for Cyclist Crashes Using Natural Language Processing and Neural Network Modelling

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