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Advances in Artificial Intelligence : Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020) / / edited by Katsutoshi Yada, Daisuke Katagami, Yasufumi Takama, Takayuki Ito, Akinori Abe, Eri Sato-Shimokawara, Junichiro Mori, Naohiro Matsumura, Hisashi Kashima
Advances in Artificial Intelligence : Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2020) / / edited by Katsutoshi Yada, Daisuke Katagami, Yasufumi Takama, Takayuki Ito, Akinori Abe, Eri Sato-Shimokawara, Junichiro Mori, Naohiro Matsumura, Hisashi Kashima
Autore Yada Katsutoshi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (261 pages)
Disciplina 006.3
Altri autori (Persone) KatagamiDaisuke
TakamaYasufumi
ItoTakayuki
AbeAkinori
Sato-ShimokawaraEri
MoriJunichiro
MatsumuraNaohiro
KashimaHisashi
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Intel·ligència artificial
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-73113-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Node Classification Approach for Dynamically Extracting the Structures of Online Discussions -- Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment -- On the Legal Revision in PROLEG program -- Viewpoint Planning based on Uncertainty Maps Created from the Generative Query Network -- Active Learning-based Data Collection in Crowd Replication -- Mining in Discharge Summaries -- Identifying Snowfall Clouds at Syowa Station, Antarctica via a Convolutional Neural Network -- Transfer Learning based Data Collection Method for Dialogue Response Generation concerning Causality -- Impact of Domain Knowledge's Quality on Inverse Reinforcement Learning -- Intrinsically Motivated Lifelong Exploration in Reinforcement Learning -- A Preliminary Analysis of Offensive Language Detection Transferability from Social Media to Video Live Streaming Platforms -- BERT-based Dialogue Evaluation Methods with RUBER Framework -- The Morandi Room Entering the World of Morandi’s Paintings through Machine Learning.
Record Nr. UNINA-9910494555003321
Yada Katsutoshi  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Pattern Recognition in Bioinformatics [[electronic resource] ] : 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012, Proceedings / / edited by Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad
Pattern Recognition in Bioinformatics [[electronic resource] ] : 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012, Proceedings / / edited by Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XII, 278 p. 74 illus.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Health informatics
Pattern recognition
Data mining
Algorithms
Artificial intelligence
Computational Biology/Bioinformatics
Health Informatics
Pattern Recognition
Data Mining and Knowledge Discovery
Algorithm Analysis and Problem Complexity
Artificial Intelligence
ISBN 3-642-34123-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks -- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression -- A Genetic Algorithm for Scale-Based Translocon Simulation -- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm -- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns -- A Unified Adaptive Co-identification Framework for High-D Expression Data -- Protein Clustering on a Grassmann Manifold -- Improving the Portability and Performance of jViz.RNA – A Dynamic RNA Visualization Software -- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images -- An Open Framework for Extensible Multi-stage Bioinformatics Software -- An Algorithm to Assemble Gene-Protein Reaction Associations for Genome-Scale Metabolic Model Reconstruction -- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data – A NMR-Based Metabolomics Platform for the Assessment of Brazilian -- Principal Component Analysis for Bacterial Proteomic Analysis -- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction -- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction -- Improvement of the Protein–Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis -- Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters -- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine -- Predicting V(D)J Recombination Using Conditional Random Fields -- A Simple Genetic Algorithm for Biomarker Mining -- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment -- Aligning Discovered Patterns from Protein Family Sequences -- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats -- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation.
Record Nr. UNISA-996466207903316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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