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INNS Conference on Big Data 2018: Sanur, Bali, Indonesia
- Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama:
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018. Procedia Computer Science 144, Elsevier 2018 - Dieky Adzkiya:
Preface: 3rd INNS Conference on Big Data and Deep Learning 2018. 1 - Mukesh Prasad, Liang-Cheng Chang, Deepak Gupta, Mahardhika Pratama, Suresh Sundaram, Chin-Teng Lin:
Online video streaming for human tracking based on weighted resampling particle filter. 2-12 - Mukesh Prasad, Ding-Rong Zheng, Domingo Mery, Deepak Puthal, Suresh Sundaram, Chin-Teng Lin:
A fast and self-adaptive on-line learning detection system. 13-22 - Nguyen Anh, Mukesh Prasad, Narasimalu Srikanth, Suresh Sundaram:
Wind Speed Intervals Prediction using Meta-cognitive Approach. 23-32 - Nguyen Anh, Mukesh Prasad, Narasimalu Srikanth, Suresh Sundaram:
Wave Forecasting using Meta-cognitive Interval Type-2 Fuzzy Inference System. 33-41 - Francesca Cipollini, Luca Oneto, Andrea Coraddu, Stefano Savio, Davide Anguita:
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents. 42-51 - Rudy Cahyadi Hario Pribadi, Junaidillah Fadlil, Hsing-Kuo Pao:
Group Behavior Recognition Based on Dictionary and Hierarchical Learning. 52-59 - Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Nicoleta Rogovschi, Kamel Haddadou, Ahmed Amamou:
Domain Name Recommendation based on Neural Network. 60-70 - Denis Lecoeuche, Alex Aussem, Maxime Gasse:
On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss. 71-80 - Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata. 81-88 - Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata. 89-95 - Sajeev Udayakumar, Damith Chamalke Senadeera, Selvaraj Yamunarani, Jin-Cheon Na:
Demographics Analysis of Twitter Users who Tweeted on Psychological Articles and Tweets Analysis. 96-104 - Renny Pradina Kusumawardani, Stezar Priansya, Faizal Johan Atletiko:
Context-sensitive normalization of social media text in bahasa Indonesia based on neural word embeddings. 105-117 - Naoki Hashimoto, Seiichi Ozawa, Tao Ban, Junji Nakazato, Jumpei Shimamura:
A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning. 118-123 - Chandra Kusuma Dewa, Afiahayati:
Suitable CNN Weight Initialization and Activation Function for Javanese Vowels Classification. 124-132 - Fajar Ulin Nuha, Afiahayati:
Training dataset reduction on generative adversarial network. 133-139 - Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad:
Big Data Analytics based on PANFIS MapReduce. 140-152 - Riska Aprilia, Erna Apriliani, Hendro Nurhadi:
Preliminary study on estimation of 12.7×99 mm caliber projectile motion using Extended Kalman Filter method. 153-162 - Diah Agustin, Erna Apriliani, Hendro Nurhadi:
Preliminary study on estimation of 12.7 x 99 mm caliber projectile motion using Ensemble Kalman Filter method. 163-173 - Risky Frasetio Wahyu Pratama, Santi Wulan Purnami, Santi Puteri Rahayu:
Boosting Support Vector Machines for Imbalanced Microarray Data. 174-183 - Luh Ayu B. L, Erna Apriliani, Hendro Nurhadi:
Preliminary study on estimation of 12.7 x 99 mm caliber projectile using Unscented Kalman Filter method. 184-193 - Heri Kuswanto, Renny Yunia Nurhidayah, Hayato Ohwada:
Comparison of Feature Selection Methods to Classify Inhibitors in DUD-E Database. 194-202 - Robert Kozma, Roman Ilin, Hava T. Siegelmann:
Evolution of Abstraction Across Layers in Deep Learning Neural Networks. 203-213 - Muhammad Attamimi, Takayuki Nagai, Djoko Purwanto:
Object detection based on particle filter and integration of multiple features. 214-218 - Jeffery Jonathan Joshua Davis, Robert Kozma:
Visualization of Human Cognitive States Monitored by High-density EEG Arrays. 219-231 - Yoke Leng Yong, Yunli Lee, Xiaowei Gu, Plamen P. Angelov, David Chek Ling Ngo, Elnaz Shafipour:
Foreign currency exchange rate prediction using neuro-fuzzy systems. 232-238 - Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang:
A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. 239-250 - Novri Suhermi, Suhartono, Dedy Dwi Prastyo, Baharuddin Ali:
Roll motion prediction using a hybrid deep learning and ARIMA model. 251-258 - Ahmad Arinaldi, Jaka Arya Pradana, Arlan Arventa Gurusinga:
Detection and classification of vehicles for traffic video analytics. 259-268 - Suhartono, Novri Suhermi, Dedy Dwi Prastyo:
Design of Experiment to Optimize the Architecture of Deep Learning for Nonlinear Time Series Forecasting. 269-276 - Wafa Qadadeh, Sherief Abdallah:
Customers Segmentation in the Insurance Company (TIC) Dataset. 277-290 - Jason Kurniawan, Sensa G. S. Syahra, Chandra Kusuma Dewa, Afiahayati:
Traffic Congestion Detection: Learning from CCTV Monitoring Images using Convolutional Neural Network. 291-297 - Jo Takano, Toshiaki Omori:
Harmonic mean similarity based quantum annealing for k-means. 298-305 - Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
Topological multi-view clustering for collaborative filtering. 306-312
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