Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis | Paper Citation Record

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This paper cites What are higher-order networks? SIAM Review , 65(3):686–731, 2023.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis What are higher-order networks? SIAM Review , 65(3):686–731, 2023

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This paper cites The importance of the whole: topological data analysis for the network neuroscientist.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis The importance of the whole: topological data analysis for the network neuroscientist

Reference 2

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This paper cites Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations

Reference 3

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This paper cites An introduction to topological data analysis: funda- mental and practical aspects for data scientists.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis An introduction to topological data analysis: funda- mental and practical aspects for data scientists

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This paper cites Topological data analysis in biomedicine: A review.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological data analysis in biomedicine: A review

Reference 5

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This paper cites Extracting insights from the shape of complex data using topology.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Extracting insights from the shape of complex data using topology

Reference 6

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This paper cites Topological recognition of critical transitions in time series of cryptocurrencies, 2018.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological recognition of critical transitions in time series of cryptocurrencies, 2018

Reference 7

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This paper cites Topological data analysis of financial time series: Landscapes of crashes.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological data analysis of financial time series: Landscapes of crashes

Reference 8

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This paper cites Bow echo alarm system using topo- logical data analysis.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Bow echo alarm system using topo- logical data analysis

Reference 9

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This paper cites Quantum algorithms for topological and geometric analysis of data.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Quantum algorithms for topological and geometric analysis of data

Reference 10

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This paper cites Analyzing prospects for quantum advantage in topological data analysis.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Analyzing prospects for quantum advantage in topological data analysis

Reference 11

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Complexity-theoretic limitations on quantum algo- rithms for topological data analysis

Reference 12

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This paper cites Topological data analysis on noisy quantum computers.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological data analysis on noisy quantum computers

Reference 13

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis The grand challenge of quantum applications

Reference 14

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This paper cites A roadmap for the computation of persistent homology.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis A roadmap for the computation of persistent homology

Reference 15

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This paper cites giotto-ph: A python library for high-performance computation of persistent homology of Vietoris-Rips filtrations, 2021.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis giotto-ph: A python library for high-performance computation of persistent homology of Vietoris-Rips filtrations, 2021

Reference 16

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Ripser: eﬀicient computation of Vietoris–Rips persistence barcodes

Reference 17

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This paper cites GUDHI User and Reference Manual.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis GUDHI User and Reference Manual

Reference 18

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Observation bfbb5d79-70ee-4cd7-aa8b-5eead8eadfcf · outbound

This paper cites https://www.humanconnectome.org/.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis https://www.humanconnectome.org/

Reference 19

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This paper cites The human connectome project: a data acquisition perspective.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis The human connectome project: a data acquisition perspective

Reference 20

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Observation c683fef4-f9a0-4609-92f5-f5edb08ee8ff · outbound

This paper cites Glasser, Timothy S.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Glasser, Timothy S

Reference 21

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This paper cites Glasser, Michael P.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Glasser, Michael P

Reference 22

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Modern methods for interrogating the human connectome

Reference 23

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Gordon, Timothy O

Reference 24

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This paper cites Assessing functional connectivity in the human brain by fMRI.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Assessing functional connectivity in the human brain by fMRI

Reference 25

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This paper cites Topological learning and its applica- tion to multimodal brain network integration.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological learning and its applica- tion to multimodal brain network integration

Reference 26

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This paper cites Complex brain networks: graph theoretical analysis of structural and functional systems.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Complex brain networks: graph theoretical analysis of structural and functional systems

Reference 27

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This paper cites Topo- logical data analysis reveals robust alterations in the whole-brain and frontal lobe functional connectomes in attention-deficit/hyperactivity disorder.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topo- logical data analysis reveals robust alterations in the whole-brain and frontal lobe functional connectomes in attention-deficit/hyperactivity disorder

Reference 28

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This paper cites Graph theory-based brain con- nectivity for automatic classification of multiple sclerosis clinical courses.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Graph theory-based brain con- nectivity for automatic classification of multiple sclerosis clinical courses

Reference 29

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Complex network measures of brain connectivity: uses and interpretations

Reference 30

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Graph theory methods: applications in brain networks

Reference 31

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Networks beyond pairwise interactions: Struc- ture and dynamics

Reference 32

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis A hands-on tutorial on network and topological neuroscience

Reference 33

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Alarjani and Badar A

Reference 34

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Alzheimer’s disease neuroimaging initiative (ADNI) clinical characterization

Reference 35

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Rolls, Chu-Chung Huang, Ching-Po Lin, Jianfeng Feng, and Marc Joliot

Reference 36

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Unresolved cited work

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This paper cites A few thoughts on brain rois.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis A few thoughts on brain rois

Reference 38

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Region of interest analysis for fMRI

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis giotto-tda: A topological data analysis toolkit for machine learning and data exploration, 2020

Reference 40

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Nash, Roberto Vincis, Martin Bauer, Richard Bertram, and Tom Needham

Reference 41

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This paper cites Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns

Reference 42

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Building portfolios based on machine learning predictions

Reference 43

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Enhancing portfolio management using artificial intelligence: literature review

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Statistical and machine learning forecasting methods: Concerns and ways forward

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Complexity, big data and financial stability

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Financial reporting complexity, investor sentiment, and stock prices

Reference 47

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Extreme Events in Finance: A Handbook of Extreme Value Theory and its Applications

Reference 48

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis When to be discrete: The importance of time formulation in the modeling of extreme events in finance

Reference 49

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Extreme events, economic uncertainty and speculation on occurrences of price bubbles in crude oil futures

Reference 50

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market

Reference 51

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Enhancing financial time series forecasting through topological data analysis

Reference 52

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Topological data analysis in investment decisions

Reference 53

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Nurujjaman, and Sushovan Majhi

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Finding cliques by quantum adiabatic evolution

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Short-depth circuits for Dicke state preparation

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis Deterministic preparation of Dicke states

Reference 57

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Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis High-speed and high-connectivity two-qubit gates in long chains of trapped ions

Reference 58

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This paper cites High-fidelity laser-free universal control of trapped ion qubits.

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis High-fidelity laser-free universal control of trapped ion qubits

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