LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 20

Search options

  1. Article ; Online: The DIRAC framework: Geometric structure underlies roles of

    Sniatynski, Matthew J / Shepherd, John A / Wilkens, Lynne R / Hsu, D Frank / Kristal, Bruce S

    Patterns (New York, N.Y.)

    2024  Volume 5, Issue 3, Page(s) 100924

    Abstract: Combining classification systems potentially improves predictive accuracy, but outcomes have proven impossible to predict. Similar to improving binary classification with fusion, fusing ranking systems most commonly increases Pearson or Spearman ... ...

    Abstract Combining classification systems potentially improves predictive accuracy, but outcomes have proven impossible to predict. Similar to improving binary classification with fusion, fusing ranking systems most commonly increases Pearson or Spearman correlations with a target when the input classifiers are "sufficiently good" (generalized as "
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2024.100924
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Article ; Online: Improving SDG Classification Precision Using Combinatorial Fusion.

    Hsu, D Frank / LaFleur, Marcelo T / Orazbek, Ilyas

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 3

    Abstract: Combinatorial fusion algorithm (CFA) is a machine learning and artificial intelligence (ML/AI) framework for combining multiple scoring systems using the rank-score characteristic (RSC) function and cognitive diversity (CD). When measuring the relevance ... ...

    Abstract Combinatorial fusion algorithm (CFA) is a machine learning and artificial intelligence (ML/AI) framework for combining multiple scoring systems using the rank-score characteristic (RSC) function and cognitive diversity (CD). When measuring the relevance of a publication or document with respect to the 17 Sustainable Development Goals (SDGs) of the United Nations, a classification scheme is used. However, this classification process is a challenging task due to the overlapping goals and contextual differences of those diverse SDGs. In this paper, we use CFA to combine a topic model classifier (Model A) and a semantic link classifier (Model B) to improve the precision of the classification process. We characterize and analyze each of the individual models using the RSC function and CD between Models A and B. We evaluate the classification results from combining the models using a score combination and a rank combination, when compared to the results obtained from human experts. In summary, we demonstrate that the combination of Models A and B can improve classification precision only if these individual models perform well and are diverse.
    MeSH term(s) Artificial Intelligence ; Global Health ; Humans ; Machine Learning ; Sustainable Development ; United Nations
    Language English
    Publishing date 2022-01-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22031067
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Book ; Conference proceedings: 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2013)

    Hsu, D. Frank

    New York, New York, USA, 16 - 18 July 2013

    2013  

    Title variant Proceedings of the 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing ; Cognitive computers and knowledge processors
    Institution Institute of Electrical and Electronics Engineers
    Event/congress ICCI*CC (13, 2013.07.16-18, NewYorkNY) ; ICCI-CC (13, 2013.07.16-18, NewYorkNY) ; IEEE International Conference on Cognitive Informatics & Cognitive Computing (13, 2013.07.16-18, NewYorkNY)
    Author's details [ed. by D. F. Hsu ...]
    Language English
    Size X, 510 S., Ill., graph. Darst.
    Publisher IEEE
    Publishing place Piscataway, NJ
    Document type Book ; Conference proceedings
    Note Kongr.-Thema: Cognitive computers and knowledge processors. - Literaturangaben
    ISBN 9781479907816 ; 9781479907823 ; 9781479907830 ; 1479907812 ; 1479907820 ; 1479907839
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Book ; Conference proceedings ; Online: 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Hsu, D. Frank

    16 - 18 July 2013, New York, USA

    2013  

    Title variant Proceedings of the 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing ; Cognitive computers and knowledge processors
    Institution Institute of Electrical and Electronics Engineers
    Event/congress ICCI*CC (13, 2013.07.16-18, NewYorkNY) ; ICCI-CC (13, 2013.07.16-18, NewYorkNY) ; IEEE International Conference on Cognitive Informatics & Cognitive Computing (13, 2013.07.16-18, NewYorkNY)
    Author's details ed. by D. F. Hsu
    Language English
    Size Online-Ressource, Ill., graph. Darst.
    Publisher IEEE
    Publishing place Piscataway, NJ
    Document type Book ; Conference proceedings ; Online
    Note Kongr.-Thema: Cognitive computers and knowledge processors. - Literaturangaben
    ISBN 9781479907816 ; 9781479907823 ; 9781479907830 ; 1479907812 ; 1479907820 ; 1479907839
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Book ; Conference proceedings ; Online: 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Hsu, D. Frank

    16 - 18 July 2013, New York, USA

    2013  

    Title variant Proceedings of the 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing ; Cognitive computers and knowledge processors
    Institution Institute of Electrical and Electronics Engineers
    Event/congress ICCI*CC (13, 2013.07.16-18, NewYorkNY) ; ICCI-CC (13, 2013.07.16-18, NewYorkNY) ; IEEE International Conference on Cognitive Informatics & Cognitive Computing (13, 2013.07.16-18, NewYorkNY)
    Author's details ed. by D. F. Hsu
    Language English
    Size Online-Ressource, Ill., graph. Darst.
    Publisher IEEE
    Publishing place Piscataway, NJ
    Document type Book ; Conference proceedings ; Online
    Note Kongr.-Thema: Cognitive computers and knowledge processors. - Literaturangaben
    ISBN 9781479907816 ; 9781479907823 ; 9781479907830 ; 1479907812 ; 1479907820 ; 1479907839
    Database Former special subject collection: coastal and deep sea fishing

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Book ; Online: Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis

    Owusu, Evans / Rahouti, Mohamed / Hsu, D. Frank / Xiong, Kaiqi / Xin, Yufeng

    2023  

    Abstract: Mitigating Denial-of-Service (DoS) attacks is vital for online service security and availability. While machine learning (ML) models are used for DoS attack detection, new strategies are needed to enhance their performance. We suggest an innovative ... ...

    Abstract Mitigating Denial-of-Service (DoS) attacks is vital for online service security and availability. While machine learning (ML) models are used for DoS attack detection, new strategies are needed to enhance their performance. We suggest an innovative method, combinatorial fusion, which combines multiple ML models using advanced algorithms. This includes score and rank combinations, weighted techniques, and diversity strength of scoring systems. Through rigorous evaluations, we demonstrate the effectiveness of this fusion approach, considering metrics like precision, recall, and F1-score. We address the challenge of low-profiled attack classification by fusing models to create a comprehensive solution. Our findings emphasize the potential of this approach to improve DoS attack detection and contribute to stronger defense mechanisms.

    Comment: 6 pages, 3 figures, IEEE CNS
    Keywords Computer Science - Cryptography and Security ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2023-10-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article ; Online: Ranks underlie outcome of combining classifiers: Quantitative roles for

    Sniatynski, Matthew J / Shepherd, John A / Ernst, Thomas / Wilkens, Lynne R / Hsu, D Frank / Kristal, Bruce S

    Patterns (New York, N.Y.)

    2021  Volume 3, Issue 2, Page(s) 100415

    Abstract: Combining classifier systems potentially improves predictive accuracy, but outcomes have proven impossible to predict. Classification most commonly improves when the classifiers are "sufficiently good" (generalized as " ...

    Abstract Combining classifier systems potentially improves predictive accuracy, but outcomes have proven impossible to predict. Classification most commonly improves when the classifiers are "sufficiently good" (generalized as "
    Language English
    Publishing date 2021-12-22
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2021.100415
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  8. Article ; Online: Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion.

    Tang, Yuanqing / Li, Zhi / Nellikkal, Mansoor Ani Najeeb / Eramian, Hamed / Chan, Emory M / Norquist, Alexander J / Hsu, D Frank / Schrier, Joshua

    Journal of chemical information and modeling

    2021  Volume 61, Issue 4, Page(s) 1593–1602

    Abstract: Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example is to combine diverse machine learning models to achieve better prediction ...

    Abstract Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the rank-score characteristic function and cognitive diversity measure. One example is to combine diverse machine learning models to achieve better prediction quality. In this work, we apply CFA to the synthesis of metal halide perovskites containing organic ammonium cations via inverse temperature crystallization. Using a data set generated by high-throughput experimentation, four individual models (support vector machines, random forests, weighted logistic classifier, and gradient boosted trees) were developed. We characterize each of these scoring systems and explore 66 possible combinations of the models. When measured by the precision on predicting crystal formation, the majority of the combination models improves the individual model results. The best combination models outperform the best individual models by 3.9 percentage points in precision. In addition to improving prediction quality, we demonstrate how the fusion models can be used to identify mislabeled input data and address issues of data quality. In particular, we identify example cases where all single models and all fusion models do not give the correct prediction. Experimental replication of these syntheses reveals that these compositions are sensitive to modest temperature variations across the different locations of the heating element that can hinder or enhance the crystallization process. In summary, we demonstrate that model fusion using CFA can not only identify a previously unconsidered influence on reaction outcome but also be used as a form of quality control for high-throughput experimentation.
    Language English
    Publishing date 2021-04-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.0c01307
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1230: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  9. Article: The diversity rank-score function for combining human visual perception systems.

    Schweikert, Christina / Mulia, Darius / Sanchez, Kilby / Hsu, D Frank

    Brain informatics

    2016  Volume 3, Issue 1, Page(s) 63–72

    Abstract: There are many situations in which a joint decision, based on the observations or decisions of multiple individuals, is desired. The challenge is determining when a combined decision is better than each of the individual systems, along with choosing the ... ...

    Abstract There are many situations in which a joint decision, based on the observations or decisions of multiple individuals, is desired. The challenge is determining when a combined decision is better than each of the individual systems, along with choosing the best way to perform the combination. It has been shown that the diversity between systems plays a role in the performance of their fusion. This study involved several pairs of people, each viewing an event and reporting an observation, along with their confidence level. Each observer is treated as a visual perception system, and hence an associated scoring system is created based on the observer's confidence. A diversity rank-score function on a set of observation pairs is calculated using the notion of cognitive diversity between two scoring systems in the combinatorial fusion analysis framework. The resulting diversity rank-score function graph provides a powerful visualization tool for the diversity variation among a set of system pairs, helping to identify which system pairs are most likely to show improved performance with combination.
    Language English
    Publishing date 2016-02-15
    Publishing country Germany
    Document type Journal Article
    ISSN 2198-4018
    ISSN 2198-4018
    DOI 10.1007/s40708-016-0037-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Book ; Conference proceedings: Proceedings / 7th International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN 2004 : 10 - 12 May 2004, Hong Kong, SAR, China

    Hsu, D. Frank

    2004  

    Institution International Symposium on Parallel Architectures, Algorithms and Networks
    Hong Kong Polytechnic University
    University of Hong Kong
    Event/congress I-SPAN 2004 (7, 2004.05.10-12, HongKong) ; International Symposium on Parallel Architectures, Algorithms and Networks (7, 2004.05.10-12, HongKong)
    Author's details sponsored by the University of Hong Kong, Hong Kong. Co-sponsored by the Hong Kong Polytechnic University, Hong Kong. Ed. by D. Frank Hsu
    Language English
    Size XVI, 645 S
    Publisher IEEE Computer Society
    Publishing place Los Alamitos, Calif. u.a.
    Document type Book ; Conference proceedings
    ISBN 0769521355 ; 9780769521350
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top