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ORCID15th ICMLA 2016: Anaheim, CA, USA
- 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, CA, USA, December 18-20, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-6167-9
Session 1: Time Series
- Rafael Giusti
, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Improved Time Series Classification with Representation Diversity and SVM. 1-6 - Yifeng Gao, Jessica Lin, Huzefa Rangwala:
Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. 7-12 - Saurabh Deshpande, Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara:
Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data. 13-18 - Allou Samé:
Dynamic Factor Mixture of Experts for Functional Time Series Modeling. 19-25
Session 2: Kernel Methods
- Bonny Banerjee, Masoumeh Heidari Kapourchali, Shamima Najnin, Lisa Lucks Mendel, Sungmin Lee, Chhayakanta Patro, Monique Pousson:
Inferring Hearing Loss from Learned Speech Kernels. 26-31 - Mohammad Al Boni, Matthew S. Gerber:
Automatic Optimization of Localized Kernel Density Estimation for Hotspot Policing. 32-38 - Muhammad Zeeshan Nawaz, Omar Arif:
Robust Kernel Embedding of Conditional and Posterior Distributions with Applications. 39-44 - Evgeny Burnaev, Ivan Nazarov:
Conformalized Kernel Ridge Regression. 45-52
Session 3: Deep Neural Networks
- Saleh Albelwi, Ausif Mahmood:
Automated Optimal Architecture of Deep Convolutional Neural Networks for Image Recognition. 53-60 - Matthias Limmer, Hendrik P. A. Lensch:
Infrared Colorization Using Deep Convolutional Neural Networks. 61-68 - Abigail Graese, Andras Rozsa, Terrance E. Boult:
Assessing Threat of Adversarial Examples on Deep Neural Networks. 69-74 - Casey A. Graff, Jeffrey Ellen:
Correlating Filter Diversity with Convolutional Neural Network Accuracy. 75-80
Session 4: Human Activity & Behavior Recognition
- Anzah H. Niazi, Delaram Yazdansepas, Jennifer L. Gay, Frederick W. Maier, Lakshmish Ramaswamy, Khaled Rasheed, Matthew P. Buman:
A Hierarchical Meta-Classifier for Human Activity Recognition. 81-86 - Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski:
Interaction Network Representations for Human Behavior Prediction. 87-93 - Fabio Previtali, Alejandro Bordallo, Luca Iocchi, Subramanian Ramamoorthy:
Predicting Future Agent Motions for Dynamic Environments. 94-99 - Adel R. Alharbi, Mitchell A. Thornton:
Demographic Group Prediction Based on Smart Device User Recognition Gestures. 100-107
Session 5: ML for Text Documents
- Xin Li, Wei Jin:
Cross-Document Knowledge Discovery Using Semantic Concept Topic Model. 108-114 - Niharika Gupta, Sanjay Podder, K. M. Annervaz, Shubhashis Sengupta:
Domain Ontology Induction Using Word Embeddings. 115-119 - Jiangsheng Yu, Xue-wen Chen:
Latent Topic-Semantic Indexing Based Automatic Text Summarization. 120-126 - Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
An Investigation of Ensemble Techniques for Detection of Spam Reviews. 127-133
Session 6: Applications in Biology & Medicine
- Xinyuan Ma, Ning Xian:
A Re-estimation Brain Storm Optimization to Train Hidden Markov Model for Transcription Factor Binding Site Analysis. 134-139 - Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan:
Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. 140-145 - Farzad Khalvati, Junjie Zhang, Alexander Wong, Masoom A. Haider:
Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. 146-151 - François G. Meyer, Alexander M. Benison, Zachariah Smith, Daniel S. Barth:
Decoding Epileptogenesis in a Reduced State Space. 152-157
Session 7: Applications-I
- Ernest Mwebaze, Godliver Owomugisha:
Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images. 158-163 - Qingzhong Liu, Andrew H. Sung, Bing Zhou, Mengyu Qiao:
Exposing Inpainting Forgery in JPEG Images under Recompression Attacks. 164-169 - Sven Nomm, Konstantin Bardos, Ilja Masarov, Julia Kozhenkina, Aaro Toomela, Toomas Toomsoo:
Recognition and Analysis of the Contours Drawn during the Poppelreuter's Test. 170-175 - Joshua Knapp, Guangzhi Qu, Feng Zhang:
Automatic Species Recognition Based on Improved Birdsong Analysis. 176-181
Session 8: ML for Security & Fraud Detection
- Robin Tan, Marek A. Perkowski:
ECG Biometric Identification Using Wavelet Analysis Coupled with Probabilistic Random Forest. 182-187 - Patrick M. Monamo, Vukosi Marivate, Bhesipho Twala:
A Multifaceted Approach to Bitcoin Fraud Detection: Global and Local Outliers. 188-194 - Khaled Alrawashdeh, Carla Purdy:
Toward an Online Anomaly Intrusion Detection System Based on Deep Learning. 195-200 - Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Juha Karhunen:
Android Malware Detection: Building Useful Representations. 201-206
Session 9: Learning-I
- Karl R. Weiss, Taghi M. Khoshgoftaar:
Investigating Transfer Learners for Robustness to Domain Class Imbalance. 207-213 - Qinyun Zhu, Jae C. Oh:
Learning Fairness under Constraints: A Decentralized Resource Allocation Game. 214-221 - Ole-Christoffer Granmo:
Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation. 222-226 - Andras Rozsa, Manuel Günther, Terrance E. Boult:
Are Accuracy and Robustness Correlated. 227-232 - Travis L. Williams, Robert Li:
Advanced Image Classification Using Wavelets and Convolutional Neural Networks. 233-239
Session 10: Clustering
- Raed I. Seetan, Jacob Bible, Michael Karavias, Wael Seitan, Sam Thangiah:
Consensus Clustering: A Resampling-Based Method for Building Radiation Hybrid Maps. 240-245 - Muhammad Saadi, Touqeer Ahmad, Yan Zhao, Lunchakorn Wuttisittikulkij:
An LED Based Indoor Localization System Using k-Means Clustering. 246-252 - Ilia Nouretdinov:
Distributed Conformal Anomaly Detection. 253-258 - Wenyu Wang, Nanpeng Yu, Brandon Foggo, Joshua Davis, Juan Li:
Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data. 259-265
Session 11: Deep Learning
- Teerapat Rojanaarpa, Irina Kataeva:
Density-Based Data Pruning Method for Deep Reinforcement Learning. 266-271 - Rajendra Rana Bhat, Rodrigo Daniel Trevizan, Rahul Sengupta, Xiaolin Li, Arturo S. Bretas:
Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning. 272-279 - Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep:
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. 280-285 - Rohith Polishetty, Mehdi Roopaei, Paul Rad:
A Next-Generation Secure Cloud-Based Deep Learning License Plate Recognition for Smart Cities. 286-293
Session 12: Applications-II
- Ramy Hussein, Rabab K. Ward, Z. Jane Wang, Amr Mohamed:
Energy Efficient EEG Monitoring System for Wireless Epileptic Seizure Detection. 294-299 - R. Lily Hu, Kevin Leahy, Ioannis C. Konstantakopoulos, David M. Auslander, Costas J. Spanos, Alice M. Agogino:
Using Domain Knowledge Features for Wind Turbine Diagnostics. 300-307 - Isah Abdullahi Lawal, Salihu A. Abdulkarim, Muhammad K. Hassan, Jibrin M. Sadiq:
Improving HSDPA Traffic Forecasting Using Ensemble of Neural Networks. 308-313
Session 13: Learning-II
- Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu:
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting. 314-319 - Kyungmin Su, W. David Hairston, Kay A. Robbins:
Adaptive Thresholding and Reweighting to Improve Domain Transfer Learning for Unbalanced Data with Applications to EEG Imbalance. 320-325 - Panos P. Markopoulos, Sandipan Kundu, Shubham Chamadia, Dimitris A. Pados:
L1-Norm Principal-Component Analysis via Bit Flipping. 326-332 - Sumit Bam Shrestha, Qing Song:
Event Based Weight Update for Learning Infinite Spike Train. 333-338
Session 14: Applications-III
- Arindam Dutta, Owen Ma, Meynard John Toledo, Matthew P. Buman, Daniel W. Bliss:
Comparing Gaussian Mixture Model and Hidden Markov Model to Classify Unique Physical Activities from Accelerometer Sensor Data. 339-346 - Richard A. Bauder, Taghi M. Khoshgoftaar:
A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims. 347-354 - Matthew C. Simpson, Qing Yi, Jugal Kalita:
Automatic Algorithm Selection in Computational Software Using Machine Learning. 355-360 - Remo Lachmann, Sandro Schulze, Manuel Nieke, Christoph Seidl, Ina Schaefer:
System-Level Test Case Prioritization Using Machine Learning. 361-368
Session 15: Graphs Methods
- Sohei Okui, Kaho Osamura, Akihiro Inokuchi:
Detecting Smooth Cluster Changes in Evolving Graphs. 369-374 - Noushin Salek Faramarzi, Erman Ayday, H. Altay Güvenir:
A Privacy-Preserving Solution for the Bipartite Ranking Problem. 375-380
Session 16: Social Media Applications
- Alper Ozcan, Sule Gündüz Ögüdücü:
Temporal Link Prediction Using Time Series of Quasi-Local Node Similarity Measures. 381-386 - Manu Shukla, Andrew Fong, Raimundo F. Dos Santos, Chang-Tien Lu:
DERIV: Distributed In-Memory Brand Perception Tracking Framework. 387-393 - Amel Hannech, Mehdi Adda, Hamid Mcheick:
Recommendation Model Based on a Contextual Similarity Measure. 394-401 - Mohammed Korayem, Khalifeh AlJadda, Trey Grainger:
Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends. 402-407
Special Session 1: Machine Learning Applications in Education
- Ilyes Jenhani, Ghassen Ben Brahim, Ammar Elhassan:
Course Learning Outcome Performance Improvement: A Remedial Action Classification Based Approach. 408-413 - Farooq Ahmad, Hamza Ali S. Abujabal, Sher Afzal Khan, Adnan Abid, Muhammad Shoaib Farooq:
Extending Soft Sets towards the Optimality of Decision Based on Multiple Decisions over the Same Data. 414-419 - Muhammad Shoaib Farooq, Adnan Abid, Rebecca K. Fox:
A Formal Design for the Lexical and Syntax Analyzer of a Pedagogically Effective Subset of C++. 420-425 - Halil-Ibrahim Bulbul, Tarik Kaya, Yusuf Tulgar:
Analysis for Status of the Road Accident Occurance and Determination of the Risk of Accident by Machine Learning in Istanbul. 426-430 - Gihad N. Sohsah, Onur Güzey, Zaina Tarmanini:
Classifying Educational Lectures in Low-Resource Languages. 431-435
Special Session 2: Machine Learning in Energy Application
- Mehmet Yesilbudak, Ilhami Colak, Ramazan Bayindir:
k-Means Partition of Monthly Average Insolation Period Data for Turkey. 436-440 - Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou:
Hourly Solar Irradiance Forecasting Based on Machine Learning Models. 441-446 - Hamdi Tolga Kahraman, Melike Ayaz, Ilhami Colak, Ramazan Bayindir:
Applying the Meta-heuristic Prediction Algorithm for Modeling Power Density in Wind Power Plant. 447-451 - Moustafa Sahnoune Chaouche, Hamza Houassine, Samir Moulahoum, Ilhami Colak:
Faults Investigation of Transformer Windings Using the Frequency Response Analysis FRA. 452-459 - Hidenori Maruta, Hironobu Taniguchi, Fujio Kurokawa:
A Study on Effects of Different Control Period of Neural Network Based Reference Modified PID Control for DC-DC Converters. 460-465
Special Session 3: Machine Learning in Information and Cyber Security Issues
- Raja Prasad Karuparthi, Bing Zhou:
Enhanced Approach to Detection of SQL Injection Attack. 466-469 - Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami:
Towards Web Spam Filtering Using a Classifier Based on the Minimum Description Length Principle. 470-475 - Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Early Identification of Vulnerable Software Components via Ensemble Learning. 476-481 - Chongya Song, Alexander Perez-Pons, Kang K. Yen:
Building a Platform for Software-Defined Networking Cybersecurity Applications. 482-487 - Shannon Silessi, Cihan Varol, Murat Karabatak:
Identifying Gender from SMS Text Messages. 488-491 - Bilgehan Arslan, Ezgi Yorulmaz, Burcin Akca, Seref Sagiroglu:
Security Perspective of Biometric Recognition and Machine Learning Techniques. 492-497
Special Session 4: Machine Learning for Big Data
- Hui Li, Chunmei Liu:
A Web Based Pipeline Tool for the Combination of Logic Conditions for NGS Data. 498-501 - M. Omair Shafiq, Eric Torunski:
A Parallel K-Medoids Algorithm for Clustering based on MapReduce. 502-507 - Mario A. Bochicchio, Alfredo Cuzzocrea, Lucia Vaira:
A Big Data Analytics Framework for Supporting Multidimensional Mining over Big Healthcare Data. 508-513 - Gloria Bordogna, Luca Frigerio, Alfredo Cuzzocrea, Giuseppe Psaila:
An Effective and Efficient Similarity-Matrix-Based Algorithm for Clustering Big Mobile Social Data. 514-521 - Timothy Oladunni, Sharad Sharma:
Hedonic Housing Theory - A Machine Learning Investigation. 522-527
Special Session 5: Machine Learning for Predictive Models in Engineering Applications
- Cuauhtémoc López Martín:
Feedforward Neural Networks for Predicting the Duration of Maintained Software Projects. 528-533 - Hamideh Rostami, Jakey Blue, Claude Yugma:
Equipment Condition Diagnosis and Fault Fingerprint Extraction in Semiconductor Manufacturing. 534-539 - Amit Chaulwar, Michael Botsch, Wolfgang Utschick:
A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios. 540-546 - Jihoon Sung, Kyounghye Kim, Junhyuk Kim, June-Koo Kevin Rhee:
Efficient Content Replacement in Wireless Content Delivery Network with Cooperative Caching. 547-552 - Timothy Oladunni, Sharad Sharma:
Spatial Dependency and Hedonic Housing Regression Model. 553-558 - Arezou Moussavi Khalkhali, Mo M. Jamshidi:
Constructing a Deep Regression Model Utilizing Cascaded Sparse Autoencoders and Stochastic Gradient Descent. 559-564 - Nathalie A. Barbosa, Louise Travé-Massuyès, Victor Hugo Grisales:
A Novel Algorithm for Dynamic Clustering: Properties and Performance. 565-570 - Shadi Banitaan, Mohammad Azzeh, Ali Bou Nassif:
User Movement Prediction: The Contribution of Machine Learning Techniques. 571-575
Special Session 6: Machine Learning Techniques in Bioinformatics
- Daniele Soria, Jonathan M. Garibaldi:
Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts. 576-581 - Evgin Göçeri, Esther Durá, Melih Günay:
Review on Machine Learning Based Lesion Segmentation Methods from Brain MR Images. 582-587 - Melih Günay, Evgin Göçeri, Rajarajeswari Balasubramaniyan:
Machine Learning for Optimum CT-Prediction for qPCR. 588-592 - Juan Domingo, Esther Durá, Evgin Göçeri:
Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results. 593-598 - Blessing Ojeme, Audrey Mbogho, Thomas Meyer:
Probabilistic Expert Systems for Reasoning in Clinical Depressive Disorders. 599-604 - Arezou Moussavi Khalkhali, Mo M. Jamshidi, Subhashie Wijemanne:
Feature Fusion for Denoising and Sparse Autoencoders: Application to Neuroimaging Data. 605-610 - Xinying Mu, Ana B. Pavel, Mark A. Kon:
Differentiation and Integration of Machine Learning Feature Vectors. 611-616
Workshop on Machine Learning in Security of Cyber-Physical Systems
- Trae Hurley, Jorge E. Perdomo, Alexander Perez-Pons:
HMM-Based Intrusion Detection System for Software Defined Networking. 617-621 - Saman Sargolzaei, Mercedes Cabrerizo, Arman Sargolzaei, Shirin Noei, Malek Adjouadi:
Epilepsy, a Cyberattack on Brains' Networked Control System. 622-625 - Koosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep K. S. Gupta:
Toward Parametric Security Analysis of Machine Learning Based Cyber Forensic Biometric Systems. 626-631 - Michael Jaynes, Ram Dantu, Roland Varriale, Nathaniel Evans:
Automating ECU Identification for Vehicle Security. 632-635 - Arman Sargolzaei, Carl D. Crane, Alireza Abbaspour, Shirin Noei:
A Machine Learning Approach for Fault Detection in Vehicular Cyber-Physical Systems. 636-640 - Kianoosh G. Boroojeni, M. Hadi Amini, S. S. Iyengar:
An Oblivious Routing-Based Power Flow Calculation Method for Loss Minimization of Smart Power Networks: A Theoretical Perspective. 641-645
Workshop on Machine Learning Algorithms Systems and Applications
- Gaurav Tyagi, Nilesh V. Patel, Ishwar K. Sethi:
Multiview Centroid Based Fuzzy Classification of Large Data. 646-650 - Romana Riyaz, M. Arif Wani:
Local and Global Data Spread Based Index for Determining Number of Clusters in a Dataset. 651-656 - Gang Ren, Joseph Johnson, Hyunhwan Lee, Mitsunori Ogihara:
Sequential Pattern Based Temporal Contour Representations for Content-Based Multimedia Timeline Analysis. 657-664 - Travis Ginmu Rhee, Farhana H. Zulkernine:
Predicting Movie Box Office Profitability: A Neural Network Approach. 665-670
Poster Session 1
- Mohammad Al Boni, Matthew S. Gerber:
Area-Specific Crime Prediction Models. 671-676 - Jiangbo Yuan, Jie Yu:
Semi-Supervised Learning with Bidirectional Adaptive Pairwise Encoding. 677-681 - Hong Peng, Shuyi Hong, Linkai Luo, Qifeng Zhou, Xiaoqin Huang:
A New Approach of Matrix Factorization and Its Application in Recommender Systems. 682-686 - Rabia Irfan, Sharifullah Khan:
TIE: An Algorithm for Incrementally Evolving Taxonomy for Text Data. 687-692 - SungYe Kim, Preeti Bindu:
Realizing Real-Time Deep Learning-Based Super-Resolution Applications on Integrated GPUs. 693-696 - Tri Doan, Jugal K. Kalita:
Sentiment Analysis of Restaurant Reviews on Yelp with Incremental Learning. 697-700 - Lei Wang, Zhixian Ma, Haiguang Xu, Jie Zhu:
Classification of X-Ray Galaxy Clusters with Morphological Feature and Tree SVM. 701-704 - John Sprockel, Juan Diaztagle, Alberto Llanos, Cristian Castillo, Enríque González Guerrero:
Validation of a Federation of Collaborative Rational Agents for the Diagnosis of Acute Coronary Syndromes in a Population with High Probability. 705-708 - Yulong Zhang, Qingsong Xu:
Autonomous Biological Cell Injection Based on Vision and Motion Control. 709-712