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000958860 1112_ $$aICONIP (Conference)$$n(27th :$$d2020 :$$cBangkok, Thailand)
000958860 24510 $$aNeural information processing :$$b27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings.$$nPart III /$$cHaiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King (eds.).
000958860 2463_ $$aICONIP 2020
000958860 260__ $$aCham :$$bSpringer,$$c2020.
000958860 300__ $$a1 online resource (660 p.).
000958860 336__ $$atext$$btxt$$2rdacontent
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000958860 4901_ $$aLecture Notes in Computer Science ;$$v12534
000958860 4901_ $$aLNCS sublibrary, SL 1, Theoretical computer science and general issues
000958860 500__ $$aIncludes author index.
000958860 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part III -- Biomedical Information -- Classification of Neuroblastoma Histopathological Images Using Machine Learning -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Experimental Setup -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Co-location of TFBS Analysis -- 3.2 HBV-transfection Effect on Histone Modification -- 4 Discussion -- References
000958860 5058_ $$aDiabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed Approach -- 3.2 Dataset -- 3.3 Data Pre-processing -- 3.4 Metrics for Performance Evaluation -- 4 Experimental Results and Discussion -- 5 Analysis -- 6 Conclusion -- References -- Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength -- 1 Introduction -- 2 Materials and Methods -- 3 Proposed Enhancer-DSNet Methodology -- 4 Benchmark Dataset
000958860 5058_ $$a5 Evaluation Metrics -- 6 Experimental Setup and Results -- 6.1 Results -- 7 Conclusion -- References -- Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography -- 1 Introduction -- 2 Design -- 2.1 Machine Learned Pulse Transit Time -- 2.2 HeartPy Pulse Transit Time -- 3 Analysis -- 3.1 Methods -- 4 Results -- 4.1 BIDMC Patient 6 Drilldown -- 5 Discussion -- 5.1 Limitations -- 6 Conclusion -- References -- Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-processing
000958860 5058_ $$a3.2 Feature Selection -- 3.3 LAT Prediction -- 4 Experimental Study -- 4.1 Dataset and Experiment Configuration -- 4.2 Evaluation Metrics and Baseline -- 4.3 Results and Discussion -- 5 Conclusion and Future Work -- References -- Neural Data Analysis -- Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli -- 1 Introduction -- 2 Methodology -- 2.1 Recruitment of Participants -- 2.2 Experimental Protocol -- 2.3 EEG Data Acquisition and Preprocessing -- 2.4 EEG Data Analysis -- Community Detection -- 3 Results
000958860 5058_ $$a3.1 Partitioning the Functional Connectivity Networks -- 3.2 Inter-module Metrics -- 3.3 Intra-module Metrics -- 4 Discussion -- 4.1 Alterations in the Inter-module Metrics in the Community Functional Connectivity Organisation -- 4.2 Variations in the Intra-module Metrics in the Community Functional Connectivity Organisation -- 5 Conclusions -- A Appendix: Anatomical Segregation of ROIs in Communities -- References -- Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution -- 1 Introduction -- 2 Method -- 2.1 Experiment and Preprocessing Procedure
000958860 506__ $$aAccess limited to authorized users.
000958860 520__ $$aThe three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 12534, is organized in topical sections on biomedical information; neural data analysis; neural network models; recommender systems; time series analysis.
000958860 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 3, 2021).
000958860 650_0 $$aNeural networks (Computer science)$$vCongresses.
000958860 650_0 $$aPattern perception.
000958860 650_0 $$aMachine learning.
000958860 650_0 $$aDatabase management.
000958860 650_0 $$aApplication software.
000958860 7001_ $$aYang, Haiqin.
000958860 7001_ $$aPasupa, Kitsuchart.
000958860 7001_ $$aLeung, Chi Sing.
000958860 7001_ $$aKwok, James$$c(Professor of Computer Science and Engineering)
000958860 7001_ $$aChan, Jonathan H.
000958860 7001_ $$aKing, Irwin,$$d1961-
000958860 7730_ $$tSpringer Nature eBook
000958860 77608 $$iPrint version:$$aYang, Haiqin$$tNeural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III$$dCham : Springer International Publishing AG,c2020$$z9783030638351
000958860 830_0 $$aLecture notes in computer science ;$$v12534.
000958860 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues.
000958860 852__ $$bebk
000958860 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63836-8$$zOnline Access$$91397441.1
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