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A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes

IEEE transaction on neural networks and learning systems, 2017-04, Vol.28 (4), p.917-933

2017

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Mixed-dimensional WS2/WSe2/Si unipolar barrier heterostructure for high-performance photodetection

Science China materials, 2023-06, Vol.66 (6), p.2354-2363

2023

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Flow based botnet detection through semi-supervised active learning

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, p.2387-2391

2017

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Evaluation of the Prognostic Relevance of Differential Claudin Gene Expression Highlights Claudin-4 as Being Suppressed by TGFβ1 Inhibitor in Colorectal Cancer

Frontiers in genetics, 2022-02, Vol.13, p.783016-783016

2022

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IP-level fast re-routing for robustness to mass failure events using a hybrid bandwidth and reliability cost metric

MILCOM 2016 - 2016 IEEE Military Communications Conference, 2016, p.812-816

2016

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Experimental study of the co-pyrolysis of sewage sludge and wet waste via TG-FTIR-GC and artificial neural network model: Synergistic effect, pyrolysis kinetics and gas products

Renewable energy, 2022-01, Vol.184, p.1-14

2022

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Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data

2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 2015, p.1-6

2015

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Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis

Fuel (Guildford), 2022-07, Vol.320, p.123960, Article 123960

2022

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Influence of biomass on coal slime combustion characteristics based on TG-FTIR, principal component analysis, and artificial neural network

The Science of the total environment, 2022-10, Vol.843, p.156983-156983, Article 156983

2022

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The effect of cellulose on the combustion characteristics of coal slime: TG-FTIR, principal component analysis, and 2D-COS

Fuel (Guildford), 2023-02, Vol.333, p.126310, Article 126310

2023

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Experimental study on the micro-explosion characteristics of biodiesel/1-pentanol and biodiesel/ methanol blended droplets

Renewable energy, 2022-08, Vol.196, p.261-277

2022

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Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis

Energy (Oxford), 2022-12, Vol.261, p.125238, Article 125238

2022

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Influence of micron-sized aluminum particles on micro-explosion and combustion characteristics of ethanol-biodiesel droplets under co-heat flow

Fuel (Guildford), 2022-10, Vol.326, p.124877, Article 124877

2022

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Expansion/micro-explosion of ethanol-biodiesel droplet doped with microparticles in oxygenated hot co-flow

Applied thermal engineering, 2023-02, Vol.221, p.119345, Article 119345

2023

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An Ultrasensitive ReSe2/WSe2 Heterojunction Photodetector Enabled by Gate Modulation and its Development in Polarization State Identification

Advanced optical materials, 2024-01, Vol.12 (2), p.n/a

2024

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DDTC Suppresses Ovarian Cancer Development via the PI3K/AKT/mTOR Signaling Pathway

Disease markers, 2022, Vol.2022, p.1941077-11

2022

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Instance Reweighting Adversarial Training Based on Confused Label

Intelligent automation and soft computing, 2023, Vol.37 (2), p.1243-1256

2023

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An Ultrasensitive ReSe 2 /WSe 2 Heterojunction Photodetector Enabled by Gate Modulation and its Development in Polarization State Identification

Advanced optical materials, 2024-01, Vol.12 (2)

2024

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AR 2 PNET: an adversarially robust re-weighting prototypical network for few-shot learning

International journal of embedded systems, 2023, Vol.16 (2), p.96-104

2023

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AR2PNet: an adversarially robust re-weighting prototypical network for few-shot learning

International journal of embedded systems, 2023, Vol.1 (1)

2023

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ReS2 Nanosheet/WS2 Nanosheet/p-GaN Substrate Dual Junction Photodetectors

ACS applied nano materials, 2023-09, Vol.6 (17), p.15490-15497

2023

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ReS 2 Nanosheet/WS 2 Nanosheet/p-GaN Substrate Dual Junction Photodetectors

ACS applied nano materials, 2023-09, Vol.6 (17), p.15490-15497

2023

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Semisupervised Active Learning and Group Anomaly Detection With Unknown or Label-Scarce Categories

Qiu, Zhicong

2017

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Unsupervised Parsimonious Cluster-Based Anomaly Detection (PCAD)

2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), 2018, p.1-6

2018

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Notice of Retraction: Fuzzy Bayesian Networks and its application in pressure equipment's security alerts

2011 Seventh International Conference on Natural Computation, 2011, Vol.3, p.1507-1511

2011

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A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes

Mixed-dimensional WS2/WSe2/Si unipolar barrier heterostructure for high-performance photodetection

Flow based botnet detection through semi-supervised active learning

Evaluation of the Prognostic Relevance of Differential Claudin Gene Expression Highlights Claudin-4 as Being Suppressed by TGFβ1 Inhibitor in Colorectal Cancer

IP-level fast re-routing for robustness to mass failure events using a hybrid bandwidth and reliability cost metric

Experimental study of the co-pyrolysis of sewage sludge and wet waste via TG-FTIR-GC and artificial neural network model: Synergistic effect, pyrolysis kinetics and gas products

Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data

Research on the co-pyrolysis of coal slime and cellulose based on TG-FTIR-MS, artificial neural network, and principal component analysis

Influence of biomass on coal slime combustion characteristics based on TG-FTIR, principal component analysis, and artificial neural network

The effect of cellulose on the combustion characteristics of coal slime: TG-FTIR, principal component analysis, and 2D-COS

Experimental study on the micro-explosion characteristics of biodiesel/1-pentanol and biodiesel/ methanol blended droplets

Research on the co-pyrolysis of coal slime and lignin based on the combination of TG-FTIR, artificial neural network, and principal component analysis

Influence of micron-sized aluminum particles on micro-explosion and combustion characteristics of ethanol-biodiesel droplets under co-heat flow

Expansion/micro-explosion of ethanol-biodiesel droplet doped with microparticles in oxygenated hot co-flow

An Ultrasensitive ReSe2/WSe2 Heterojunction Photodetector Enabled by Gate Modulation and its Development in Polarization State Identification

DDTC Suppresses Ovarian Cancer Development via the PI3K/AKT/mTOR Signaling Pathway

Instance Reweighting Adversarial Training Based on Confused Label

An Ultrasensitive ReSe 2 /WSe 2 Heterojunction Photodetector Enabled by Gate Modulation and its Development in Polarization State Identification

AR 2 PNET: an adversarially robust re-weighting prototypical network for few-shot learning

AR2PNet: an adversarially robust re-weighting prototypical network for few-shot learning

ReS2 Nanosheet/WS2 Nanosheet/p-GaN Substrate Dual Junction Photodetectors

ReS 2 Nanosheet/WS 2 Nanosheet/p-GaN Substrate Dual Junction Photodetectors

Semisupervised Active Learning and Group Anomaly Detection With Unknown or Label-Scarce Categories

Unsupervised Parsimonious Cluster-Based Anomaly Detection (PCAD)

Notice of Retraction: Fuzzy Bayesian Networks and its application in pressure equipment's security alerts

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