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ORCID20th IDEAL 2019: Manchester, UK - Part I
- Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11871, Springer 2019, ISBN 978-3-030-33606-6 - Watcharin Sarachai, Jakramate Bootkrajang
, Jeerayut Chaijaruwanich, Samerkae Somhom:
Orchids Classification Using Spatial Transformer Network with Adaptive Scaling. 1-10 - Matthew Middlehurst, William Vickers, Anthony J. Bagnall:
Scalable Dictionary Classifiers for Time Series Classification. 11-19 - Nádia Junqueira Martarelli, Marcelo Seido Nagano:
Optimization of the Numeric and Categorical Attribute Weights in KAMILA Mixed Data Clustering Algorithm. 20-27 - Peyman Rasouli, Ingrid Chieh Yu:
Meaningful Data Sampling for a Faithful Local Explanation Method. 28-38 - Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo:
Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. 39-46 - Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki, Tokuro Matsuo:
Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks. 47-59 - Luís Miguel Matos, Paulo Cortez, Rui Castro Mendes, Antoine Moreau:
Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion. 60-67 - Worapol Alex Pongpech:
Modeling Data Driven Interactions on Property Graph. 68-75 - Nico Migenda, Ralf Möller, Wolfram Schenck:
Adaptive Dimensionality Adjustment for Online "Principal Component Analysis". 76-84 - Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña, Javier M. Moguerza, Alberto Fernández-Isabel:
Relevance Metric for Counterfactuals Selection in Decision Trees. 85-93 - Víctor Aceña, Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández:
Weighted Nearest Centroid Neighbourhood. 94-101 - Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. 102-109 - William Ferreira Moreno Oliverio, Allan de Barcelos Silva, Sandro José Rigo, Rodolpho Lopes Bezerra da Costa:
A Hybrid Model for Fraud Detection on Purchase Orders. 110-120 - Qadri Mishael, Aladdin Ayesh, Iryna Yevseyeva:
Users Intention Based on Twitter Features Using Text Analytics. 121-128 - James Large, Anthony J. Bagnall:
Mixing Hetero- and Homogeneous Models in Weighted Ensembles. 129-136 - David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall:
A Hybrid Approach to Time Series Classification with Shapelets. 137-144 - Alfonso Hernández, Ángel Panizo, David Camacho:
An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification. 145-154 - Alessandro Bondielli, Francesco Marcelloni:
A Data-Driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés. 155-165 - Aleksandra Vatian, Anna Tatarinova, Svyatoslav Osipov, Nikolai Egorov, Vitalii Boitsov, Elena Ryngach, Tatiana Treshkur, Anatoly Shalyto, Natalia F. Gusarova:
Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis. 166-174 - Aleksandra Vatian, Natalia V. Dobrenko, Nikolai Andreev, Aleksandr Nemerovskii, Anastasia Nevochhikova, Natalia F. Gusarova:
Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian. 175-183 - Xingang Mou, Jian Cui, Hujun Yin, Xiao Zhou:
Tracking Position and Status of Electric Control Switches Based on YOLO Detector. 184-194 - Alberto Manastarla, Leandro Augusto da Silva:
A Self-generating Prototype Method Based on Information Entropy Used for Condensing Data in Classification Tasks. 195-207 - Yi Ren, Kunqing Xie:
Transfer Knowledge Between Sub-regions for Traffic Prediction Using Deep Learning Method. 208-219 - Abdulmajeed M. Alenezi, Khairi Hamdi:
Global Q-Learning Approach for Power Allocation in Femtocell Networks. 220-228 - Abdullah S. Alharthi, Krikor B. Ozanyan:
Deep Learning and Sensor Fusion Methods for Studying Gait Changes Under Cognitive Load in Males and Females. 229-237 - Jaime Andres Rincon, Ângelo Costa, Paulo Novais, Vicente Julián, Carlos Carrascosa:
Towards a Robotic Personal Trainer for the Elderly. 238-246 - Jingwen Su, Yao Peng, Hujun Yin:
Image Quality Constrained GAN for Super-Resolution. 247-256 - Tinashe Wamambo, Cristina Luca, Arooj Fatima:
Use Case Prediction Using Product Reviews Text Classification. 257-264 - Muhammad Bello Aliyu, Rahat Iqbal, Anne E. James, Dianabasi Nkantah:
Convolutional Neural Network for Core Sections Identification in Scientific Research Publications. 265-273 - Leandro Oliveira Freitas, Pedro Rangel Henriques, Paulo Novais:
Knowledge Inference Through Analysis of Human Activities. 274-281 - Jingwei Cheng, Zhi Yang, Jinming Dang, Chunguang Pan, Fu Zhang:
Representation Learning of Knowledge Graphs with Multi-scale Capsule Network. 282-290 - Yong-Xian Fan, Yongzhen Li, Huihua Yang, Xiaoyong Pan:
CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning. 291-301 - António Gaspar, Luís A. Alexandre:
A Multimodal Approach to Image Sentiment Analysis. 302-309 - Raoua Abdelkhalek, Imen Boukhris, Zied Elouedi:
Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering. 310-318 - Jin-Young Kim, Sung-Bae Cho:
Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data. 319-327 - Colin Leverger, Simon Malinowski, Thomas Guyet, Vincent Lemaire, Alexis Bondu, Alexandre Termier:
Toward a Framework for Seasonal Time Series Forecasting Using Clustering. 328-340 - Lina Abassi, Imen Boukhris:
An Evidential Imprecise Answer Aggregation Approach Based on Worker Clustering. 341-349 - Mutasem Q. Hamdan, Khairi Hamdi:
Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network. 350-358 - Benjamin Paaßen:
Adversarial Edit Attacks for Tree Data. 359-366 - Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho:
Non-stationary Noise Cancellation Using Deep Autoencoder Based on Adversarial Learning. 367-374 - Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass. 375-385 - Hatem Khalloof, Phil Ostheimer, Wilfried Jakob, Shadi Shahoud, Clemens Düpmeier, Veit Hagenmeyer:
Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach. 386-393 - Alexey Zabashta, Andrey Filchenkov:
Active Dataset Generation for Meta-learning System Quality Improvement. 394-401 - Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani:
Do You Really Follow Them? Automatic Detection of Credulous Twitter Users. 402-410 - Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan, Amal Shehan Perera, Amal Kumarage:
User Localization Based on Call Detail Record. 411-423 - Danae Pla Karidi, Harry Nakos, Yannis Stavrakas:
Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media. 424-436 - Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Milan Tuba:
Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment. 437-445 - George Oastler, Jason Lines:
A Significantly Faster Elastic-Ensemble for Time-Series Classification. 446-453 - Sharath M. Shankaranarayana, Davor Runje:
ALIME: Autoencoder Based Approach for Local Interpretability. 454-463 - Matús Cuper, Marek Lóderer, Viera Rozinajová:
Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis. 464-475 - Khaoula Jayech:
Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition. 476-485 - Paulo J. S. Ferreira, Ricardo M. C. Magalhães, Kemilly Dearo Garcia, João M. P. Cardoso, João Mendes-Moreira:
An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition. 486-493 - Victor R. Prata, Ronaldo S. Moreira, Luan Sousa Cordeiro, Átilla N. Maia, Alan Rabelo Martins, Davi A. Leão, C. H. L. Cavalcante, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto:
A Novel Recommendation System for Next Feature in Software. 494-501 - Dmitry Tomp, Sergey Muravyov, Andrey Filchenkov, Vladimir Parfenov:
Meta-learning Based Evolutionary Clustering Algorithm. 502-513 - George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou, Georgios Evangelidis:
Fast Tree-Based Classification via Homogeneous Clustering. 514-524 - Alexey L. Myachin, Boris G. Mirkin:
Ordinal Equivalence Classes for Parallel Coordinates. 525-533 - Juan Carlos Rojas Thomas, Matilde Santos Peñas:
New Internal Clustering Evaluation Index Based on Line Segments. 534-541 - Wouter Van Verre, Toykan Özdeger, Ananya Gupta, Frank J. W. Podd, Anthony J. Peyton:
Threat Identification in Humanitarian Demining Using Machine Learning and Spectroscopic Metal Detection. 542-549
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