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  1. No Access

    Chapter and Conference Paper

    A Novel Dual Interactive Network for Parkinson’s Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging

    Parkinson’s disease is a neurodegenerative disorder that often leads to abnormal atrophy in certain brain regions. Due to the ability to display brain structures non-invasively, magnetic resonance imaging (MRI...

    ** Liu, Hao Du, Junbin Mao, Jianchun Zhu in Bioinformatics Research and Applications (2024)

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    Chapter and Conference Paper

    MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis

    Deep learning models have been widely studied and have achieved expert-level performance in medical imaging tasks such as diagnosis. Recent research also considers integrating data from various sources, for in...

    Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan in Bioinformatics Research and Applications (2022)

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    Chapter

    An Entropy-Based Comment Ranking Method with Word Embedding Clustering

    Automatically ranking comments by their relevance plays an important role in text mining. In this chapter, we introduce a new text digitization method: the bag-of-word clusters model, i.e., grou** semantic-r...

    Yuyang Zhang, Hao Yu in Advances and Innovations in Statistics and Data Science (2022)

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    Chapter and Conference Paper

    MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium Blockchain

    As computer vision has continued to make significant breakthroughs in recent years, medical image processing has become a research hotspot. However, hospitals that generate medical images have difficulty shari...

    Hao Liu, **a **ao, **nglong Zhang, Kenli Li in Bioinformatics Research and Applications (2021)

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    Chapter

    Intelligent Learning and Verification of Biological Networks

    Machine learning and model checking are two types of intelligent computing techniques that have been widely used to study different complicated systems nowadays. It is well-known that the cellular functions an...

    Helen Richards, Yunge Wang, Tong Si in Advances in Artificial Intelligence, Compu… (2021)

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    Chapter and Conference Paper

    Clock Synchronization for Mobile Molecular Communication in Nanonetworks

    Molecular communication (MC) is an emerging communication method using molecules or particles as signal carriers, which enables nanomachines to send messages at the nano- or micro-nano scale for information ex...

    Li Huang, Lin Lin, Fuqiang Liu, Hao Yan in Bio-inspired Information and Communication… (2020)

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    Chapter and Conference Paper

    SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control

    Biological networks describe the relationships among molecular elements and help in the deep understanding of the biological mechanisms and functions. One of the common problems is to identify the set of biomo...

    Hao Gao, Min Li, Fang-**ang Wu in Bioinformatics Research and Applications (2020)

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    Chapter and Conference Paper

    Sensor Scheme for Target Tracking in Mobile Sensor Networks

    Wireless sensor networks is an important component of Internet of everything, and can be deployed in many applications, such as search and rescue, border patrols, environmental monitoring, and combat scenarios...

    Hao Dong, Qiang Liu in Bio-inspired Information and Communication Technologies (2020)

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    Chapter and Conference Paper

    A Numerical Study of Hovering Aerodynamics in Flap** Insect Flight

    In this paper, the Re (Reynolds number)-dependence of the unsteady aerodynamics in a flap**-flying insect was investigated. To this end, we developed a multi-block- and overset-grid-based in-house CFD solver an...

    Hikaru Aono, Hao Liu in Bio-mechanisms of Swimming and Flying (2008)

  10. Chapter and Conference Paper

    Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm

    Gene selection aims at identifying a (small) subset of informative genes from the initial data in order to obtain high predictive accuracy. This paper introduces a new wrapper approach to this difficult task w...

    Edmundo Bonilla Huerta, Béatrice Duval in Pattern Recognition in Bioinformatics (2008)

  11. Chapter and Conference Paper

    Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering

    We have proposed an ant-based clustering algorithm for document clustering based on the travelling salesperson scenario. In this paper, we presented an approach called Ant-MST for gene expression data clusteri...

    Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang in Pattern Recognition in Bioinformatics (2007)

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    Chapter and Conference Paper

    Identification of Marker Genes Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support Vector Machine and Systems Biology

    Ovarian cancer is a primary gynecological cancer which pathological stages include benign, borderline and invasive stages cause death in many countries. In this paper, linear regression, analysis of variance (...

    Meng-Hsiun Tsai, Jun-Dong Chang, Sheng-Hsiung Chiu in Progress in Artificial Life (2007)

  13. Chapter and Conference Paper

    Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties

    Protein-protein interactions play a very important role in many biological processes, for example, information transfer along signaling pathways, and enzyme catalysis. Recently, scientists tried to predict the...

    Yu-Yen Ou, Shu-An Chen, Chung-Lu Shao in Pattern Recognition in Bioinformatics (2007)

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    Chapter and Conference Paper

    A Population and Interval Constraint Propagation Algorithm

    We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. Unlike other evolutionary algori...

    Vincent Barichard, **-Kao Hao in Evolutionary Multi-Criterion Optimization (2003)

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    Book and Conference Proceedings

    Artificial Evolution

    5th International Conference, Evolution Artificielle, EA 2001 Le Creusot, France, October 29–31, 2001 Selected Papers

    Pierre Collet, Cyril Fonlupt, **-Kao Hao in Lecture Notes in Computer Science (2002)

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    Chapter and Conference Paper

    Scatter Search for Graph Coloring

    In this paper, we present a first scatter search approach for the Graph Coloring Problem (GCP). The evolutionary strategy scatter search operates on a set of configurations by combining two or more elements. New ...

    Jean-Philippe Hamiez, **-Kao Hao in Artificial Evolution (2002)

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    Chapter and Conference Paper

    SAT, Local Search Dynamics and Density of States

    This paper presents an analysis of the search space of the well known NP-complete SAT problem. The analysis is based on a measure called “density of states” (d.o.s). We show experimentally that the distributio...

    Mériéma Bélaidouni, **-Kao Hao in Artificial Evolution (2002)