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ORCIDINNS Conference on Big Data 2015: San Francisco, CA, USA
- Asim Roy, Plamen Angelov, Adel M. Alimi, Ganesh Kumar Venayagamoorthy, Theodore B. Trafalis:
INNS Conference on Big Data 2015, San Francisco, CA, USA, 8-10 August 2015. Procedia Computer Science 53, Elsevier 2015
- Plamen Angelov
, Pouria Sadeghi-Tehran:
A Nested Hierarchy of Dynamically Evolving Clouds for Big Data Structuring and Searching. 1-8 - Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis:
Evolving Classifier TEDAClass for Big Data. 9-18 - Daniel J. Lewis, Trevor P. Martin:
Managing Vagueness with Fuzzy in Hierarchical Big Data1. 19-28 - Pablo Huijse, Pablo A. Estévez, Francisco Förster, Emanuel Berrocal:
Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF. 29-38 - David R. B. Stockwell, Ligang Zhang, Brijesh K. Verma:
Segmentation of Geophysical Data: A Big Data Friendly Approach. 39-47 - Xerxes D. Arsiwalla, David Dalmazzo, Riccardo Zucca, Alberto Betella, Santiago Brandi, Enrique Martínez Bueno, Pedro Omedas, Paul F. M. J. Verschure:
Connectomics to Semantomics: Addressing the Brain's Big Data Challenge1. 48-55 - Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman:
The Art of Encephalography to Understand and Discriminate Higher Cognitive Functions Visualizing Big Data on Brain Imaging Using Brain Dynamics Movies. 56-63 - Kaushik Sinha:
Fast £1-norm Nearest Neighbor Search Using A Simple Variant of Randomized Partition Tree. 64-73 - Marcelo C. Cardoso, Marco Silva, Marley M. B. R. Vellasco, Edson Cataldo:
Quantum-Inspired Features and Parameter Optimization of Spiking Neural Networks for a Case Study from Atmospheric. 74-81 - Wenduo Wang, Yi Lu Murphey, Paul Watta:
A Computational Framework for Implementation of Neural Networks on Multi-Core Machine. 82-91 - Iroshani Jayawardene, Ganesh K. Venayagamoorthy:
Comparison of Adaptive Neuro-Fuzzy Inference Systems and Echo State Networks for PV Power Prediction. 92-102 - Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density. 103-112 - Brandon Franzke, Bart Kosko:
Using Noise to Speed up Markov Chain Monte Carlo Estimation. 113-120 - Jorge Luis Reyes-Ortiz, Luca Oneto, Davide Anguita:
Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf. 121-130 - Wiam Elleuch, Ali Wali, Adel M. Alimi:
An Investigation of Parallel Road Map Inference from Big GPS Traces Data. 131-140 - Ming Jiang, Li Zhang:
Big Data Analytics as a Service for Affective Humanoid Service Robots. 141-148 - Chun-Chieh Chen, Ming-Syan Chen:
HiClus: Highly Scalable Density-based Clustering with Heterogeneous Cloud. 149-157 - Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag:
Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. 158-166 - Yara Rizk, Mariette Awad:
On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data. 167-174 - Hironori Nishikaze, Seiichi Ozawa, Jun Kitazono, Tao Ban, Junji Nakazato, Jumpei Shimamura:
Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features. 175-182 - Leonardo Nascimento Ferreira, Liang Zhao:
A Time Series Clustering Technique based on Community Detection in Networks. 183-190 - Igor Skrjanc, Dejan Dovzan:
Evolving Gustafson-kessel Possibilistic c-Means Clustering. 191-198 - Pratik Thakor, Sreela Sasi:
Ontology-based Sentiment Analysis Process for Social Media Content. 199-207 - Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro:
Active Manifold Learning with Twitter Big Data. 208-215 - Abdelkarim Ben Ayed, Mohamed Ben Halima, Adel M. Alimi:
MapReduce Based Text Detection in Big Data Natural Scene Videos. 216-223 - Miguel A. Fernandes, Pretesh B. Patel, Tshilidzi Marwala:
Automated Detection of Human Users in Twitter. 224-231 - Wissem Abbes, Zied Kechaou, Adel M. Alimi:
Toward a Framework for Improving the Execution of the Big Data Applications. 232-238 - Long He, Zhiwei (Tony) Qin, Jagtej Bewli:
Low-Rank Tensor Recovery for Geo-Demand Estimation in Online Retailing. 239-247 - Ismail M. Anwar, Khalid M. Salama, Ashraf M. Abdelbar:
Instance Selection with Ant Colony Optimization. 248-256 - Navid Tafaghodi Khajavi, Anthony Kuh:
Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences. 257-264 - Filip Dabek, Jesus J. Caban:
Leveraging Big Data to Model the Likelihood of Developing Psychological Conditions After a Concussion. 265-273 - Jisung Kim, Yoonsuck Choe, Klaus Mueller:
Extracting Clinical Relations in Electronic Health Records Using Enriched Parse Trees. 274-283 - Xipeng Wang, Yuan Ma, Junru Di, Yi Lu Murphey, Shiqi Qiu, Johannes Kristinsson, Jason Meyer, Finn Tseng, Timothy Feldkamp:
Building Efficient Probability Transition Matrix Using Machine Learning from Big Data for Personalized Route Prediction. 284-291 - Hamdi Kchaou, Zied Kechaou, Adel M. Alimi:
Towards an Offloading Framework based on Big Data Analytics in Mobile Cloud Computing Environments. 292-297
- Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
MapReduce SVM Game. 298-307 - Stéphan Clémençon, Aurélien Bellet, Ons Jelassi, Guillaume Papa:
Scalability of Stochastic Gradient Descent based on "Smart" Sampling Techniques. 308-315 - Mojtaba Solgi, Juyang Weng:
WWN-8: Incremental Online Stereo with Shape-from-X Using Life-Long Big Data from Multiple Modalities. 316-326 - Nadine Hajj, Yara Rizk, Mariette Awad:
A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data. 327-334 - Saurav Biswas, Thomas M. Breuel:
Learning Morphological Transformations with Recurrent Neural Networks. 335-344 - Asim Roy:
A Classification Algorithm for High-dimensional Data. 345-355 - Tsvi Achler:
A Localist Paradigm for Big Data. 356-364 - Christopher J. Hillar, Felix Effenberger:
Robust Discovery of Temporal Structure in Multi-neuron Recordings Using Hopfield Networks. 365-374 - Lachezar Bozhkov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva:
EEG-based Subject Independent Affective Computing Models. 375-382 - Runfeng Zhang, Chunping Li, Daoyuan Jia:
A New Multi-channels Sequence Recognition Framework Using Deep Convolutional Neural Network. 383-390 - Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, Guang-Bin Huang:
Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine. 391-399 - C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse:
Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. 400-409 - Colin Stephen:
Dynamic Phase and Group Detection in Pedestrian Crowd Data Using Multiplex Visibility Graphs. 410-419 - Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Regularized Extreme Learning Machine for Large-scale Media Content Analysis. 420-427 - Zejia Zheng, Xie He, Juyang Weng:
Approaching Camera-based Real-World Navigation Using Object Recognition. 428-436 - Emanuele Fumeo, Luca Oneto, Davide Anguita:
Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis. 437-446 - Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson:
Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. 447-456 - Adithya Thaduri, Diego Galar, Uday Kumar:
Railway Assets: A Potential Domain for Big Data Analytics. 457-467 - Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini:
Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. 468-477 - Abdulrahman Altahhan:
Navigating a Robot through Big Visual Sensory Data. 478-485
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