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ORCID16th ICMLA 2017: Cancun, Mexico
- Xue-wen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani:
16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017. IEEE 2017, ISBN 978-1-5386-1418-1
C1A: Deep Learning I
- Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina:
Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule Networks. 1-6 - Wei Zhang, Rahul Sengupta, John Fodero, Xiaolin Li:
DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning. 7-13 - Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara
:
Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game. 14-19 - Iago Lourenço Correa, Paulo Drews Jr., Silvia S. C. Botelho, Marcio Silva de Souza, Virgínia Maria Tavano:
Deep Learning for Microalgae Classification. 20-25
C1B: Clustering Methods with Applications
- Yuto Kitagawa, Tasuku Ishigoka, Takuya Azumi:
Anomaly Prediction Based on k-Means Clustering for Memory-Constrained Embedded Devices. 26-33 - Josenildo Costa da Silva, Gustavo H. B. S. Oliveira, Stefano Lodi, Matthias Klusch:
Clustering Distributed Short Time Series with Dense Patterns. 34-41 - Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li:
Modeling Over-Dispersion for Network Data Clustering. 42-49 - Kalpesh Patil, Mandar Kulkarni, Anand Sriraman, Shirish Karande:
Deep Learning Based Car Damage Classification. 50-54
C2A: Machine Learning Applications I
- Wolfgang Weinzierl:
Attribute Assisted Interpretation Confidence Classification Using Machine Learning. 55-60 - Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Luis Rueda:
A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations. 61-67 - Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani:
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. 68-75 - Yan Gao, Alan Schay, Daqing Hou, Jorge Ortiz:
Home Appliance Energy Disaggregation Using Low Frequency Data and Machine Learning Classifiers. 76-83
C2B: Computer Vision
- Maggie B. Wigness, Steven Gutstein:
On the Impacts of Noise from Group-Based Label Collection for Visual Classification. 84-91 - Patrick Wieschollek, Ido Freeman, Hendrik P. A. Lensch:
Learning Robust Video Synchronization without Annotations. 92-100 - Hossein Hosseini, Baicen Xiao, Radha Poovendran:
Google's Cloud Vision API is Not Robust to Noise. 101-105 - Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich:
Machine Learning in Appearance-Based Robot Self-Localization. 106-112
C3A: Text and Natural Language Processing
- Jing Lu, Vincent Ng:
Learning Antecedent Structures for Event Coreference Resolution. 113-118 - Qinghan Xue, Lei Liu, Weipeng Chen, Mooi Choo Chuah:
Automatic Generation and Recommendation for API Mashups. 119-124 - Ujwal B. V. S, Bharat Gaind, Abhishek Kundu, Anusha Holla, Mukund Rungta:
Classification-Based Adaptive Web Scraper. 125-132
C3B: Optimization and Advanced Learning Methods
- Masoud Badiei Khuzani, Na Li:
Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional Curvature. 133-140 - Nuwan S. Ferdinand, Benjamin Gharachorloo, Stark C. Draper:
Anytime Exploitation of Stragglers in Synchronous Stochastic Gradient Descent. 141-146 - Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner:
An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection. 147-154 - Aaron W. Dennis, Dan Ventura:
Online Structure-Search for Sum-Product Networks. 155-160
C4A: Machine Learning Applications II
- Alexander Verner, Dany Butvinik:
A Machine Learning Approach to Detecting Sensor Data Modification Intrusions in WBANs. 161-169 - Maged Shalaby, Tarek Mehrez, Amr El Mougy, Khalid Abdulnasser, Aysha Al-Safty:
Automatic Algorithm Recognition of Source-Code Using Machine Learning. 170-177 - Kyle Brown, Derek Doran:
Realistic Traffic Generation for Web Robots. 178-185
C4B: Neural Networks
- Bradley McDanel, Surat Teerapittayanon, H. T. Kung:
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. 186-193 - Kangil Kim:
Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning. 194-198 - Fady Medhat, David Chesmore, John Robinson:
Recognition of Acoustic Events Using Masked Conditional Neural Networks. 199-206
C5A: Deep Learning II
- Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa:
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks. 207-214 - Églen Protas, José Douglas Bratti, Joel D. O. Gaya, Paulo Drews Jr., Silvia S. C. Botelho:
Understading Image Restoration Convolutional Neural Networks with Network Inversion. 215-220 - Di Ma, Xi Zhang, Xu Ouyang, Gady Agam:
Lecture Vdeo Indexing Using Boosted Margin Maximizing Neural Networks. 221-227
C5B: Ensemble Methods
- Mathias Bourel, Badih Ghattas:
Direct Multiclass Boosting Using Base Classifiers' Posterior Probabilities Estimates. 228-233 - David Gutierrez Arias, Marcos Vinicius Mussel Cirne, Josimar Edinson Chire Saire, Hélio Pedrini:
Classification of Pollen Grain Images Based on an Ensemble of Classifiers. 234-240 - Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard:
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. 241-248
C6A: Speech and Signal Processing
- Yalin Liu, Naiyang Guan, Jie Liu:
Deep Transductive Nonnegative Matrix Factorization for Speech Separation. 249-254 - Ming Sun, Andreas Schwarz, Minhua Wu, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni:
An Empirical Study of Cross-Lingual Transfer Learning Techniques for Small-Footprint Keyword Spotting. 255-260 - Akash Anand, Manish Sharma, Rupika Srivastava, Lakshmi Kaligounder, Divya Prakash:
Wearable Motion Sensor Based Analysis of Swing Sports. 261-267 - Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition. 268-274
C6B: Advanced Classification Methods
- Shabnam Nazmi, Mohammad Razeghi-Jahromi, Abdollah Homaifar:
Multilabel Classification with Weighted Labels Using Learning Classifier Systems. 275-280 - Azad Naik, Huzefa Rangwala:
Integrated Framework for Improving Large-Scale Hierarchical Classification. 281-288 - Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri:
Stacking Methods for Hierarchical Classification. 289-296 - Mohammad Firouzi, Mahmood Karimian, Mahdieh Soleymani:
NMF-Based Label Space Factorization for Multi-label Classification. 297-303
C7A: Machine Learning Applications III
- Meysam Asgari, Jan P. H. van Santen, Katina Papadakis:
Automatic Scoring of a Nonword Repetition Test. 304-308 - Koosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep K. S. Gupta:
Geometrical Analysis of Machine Learning Security in Biometric Authentication Systems. 309-314 - Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, Lawrence B. Holder:
Thyme: Improving Smartphone Prompt Timing Through Activity Awareness. 315-322 - Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran:
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. 323-330
C8A: Advanced Learning Methods
- Noyan Evirgen, Alper Köse:
The Effect of Communication on Noncooperative Multiplayer Multi-armed Bandit Problems. 331-336 - Karl R. Weiss, Taghi M. Khoshgoftaar:
Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance. 337-343 - Anna Palczewska, Jan Palczewski, Georgios Aivaliotis, Lukasz Kowalik:
RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy. 344-351 - Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran:
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images. 352-358
Special Session: Machine Learning Algorithms Systems and Applications
- M. Arif Wani, Saduf Afzal:
A New Framework for Fine Tuning of Deep Networks. 359-363 - Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes:
HDLTex: Hierarchical Deep Learning for Text Classification. 364-371 - Babafemi O. Odelowo, David V. Anderson:
A Noise Prediction and Time-Domain Subtraction Approach to Deep Neural Network Based Speech Enhancement. 372-377 - Sibasis Bandyopadhyay, Jingtao Yao, Yan Zhang:
Granular Computing with Compatibility Based Intuitionistic Fuzzy Rough Sets. 378-383 - Omid Dehzangi, Muhamed Farooq:
Subject-Dependent SSVEP Identification Using GMM Training and Adaptation. 384-389 - Matthias Haselmann, Dieter Gruber:
Supervised Machine Learning Based Surface Inspection by Synthetizing Artificial Defects. 390-395 - Michael Weeks, David Binnion, Andre Chase Randall, Vibhuti Patel:
Adventure Game with a Neural Network Controlled Non-playing Character. 396-401 - Solon Alves Peixoto, Aldísio Gonçalves Medeiros, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path Snakes. 402-407 - Mattyws F. Grawe, Claudia A. Martins, Andreia Gentil Bonfante:
Automated Patent Classification Using Word Embedding. 408-411 - Doyup Lee:
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis. 412-419 - Cristinel Codrescu:
RBF-FIRMLP Architecture for Digit Recognition. 420-425 - Ali Hmer, Malek Mouhoub:
Incremental Dynamic Search Solver. 426-431
Special Session: Machine Learning in Big Data and Information Security
- Salva Daneshgadeh, Nazife Baykal, Seyda Ertekin:
DDoS Attack Modeling and Detection Using SMO. 432-436 - Robert A. Bridges, Kelly M. T. Huffer, Corinne L. Jones, Michael D. Iannacone, John R. Goodall:
Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors. 437-442 - Keerthi Koneru, Cihan Varol:
Privacy Preserving Record Linkage Using MetaSoundex Algorithm. 443-447 - Bilgehan Arslan, Mehtap Ülker, Seref Sagiroglu:
Machine Learning Methods Used in Evaluations of Secure Biometric System Components. 448-453 - Qian (Guenevere) Chen, Robert A. Bridges:
Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware. 454-460 - Dmitry Ermilov, Maxim Panov, Yury Yanovich:
Automatic Bitcoin Address Clustering. 461-466
Special Session: Machine Learning in Energy Applications
- Alexandra Delorme-Costil, Jean Jacques Bezian:
Forecasting Domestic Hot Water Demand in Residential House Using Artificial Neural Networks. 467-472 - Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie:
A Learning Framework for Control-Oriented Modeling of Buildings. 473-478 - Jorge Hernandez-Ambato, Gabriel Asqui-Santillan, Alberto Arellano, Carlos Cunalata:
Multistep-ahead Streamflow and Reservoir Level Prediction Using ANNs for Production Planning in Hydroelectric Stations. 479-484 - Rabah Benkercha, Samir Moulahoum, Ilhami Colak:
Modelling of Fuzzy Logic Controller of a Maximum Power Point Tracker Based on Artificial Neural Network. 485-492 - Gul Muhammad Khan, Rabia Arshad, Nadia Masood Khan:
Efficient Prediction of Dynamic Tariff in Smart Grid Using CGP Evolved Artificial Neural Networks. 493-498 - Sam Sanders, Chris Barrick, Frederick W. Maier, Khaled Rasheed:
Solar Radiation Prediction Improvement Using Weather Forecasts. 499-504 - Carmen Haseltine, Eman El-Sheikh Eman:
Prediction of Power Grid Failure Using Neural Network Learning. 505-510
Special Session: Machine Learning in Smart Grid
- Abdulaziz Almalaq, George Edwards:
A Review of Deep Learning Methods Applied on Load Forecasting. 511-516 - Yasin Yilmaz, Suleyman Uludag:
Mitigating IoT-based Cyberattacks on the Smart Grid. 517-522 - Ramazan Bayindir, Mehmet Yesilbudak, Medine Colak, Naci Genç:
A Novel Application of Naive Bayes Classifier in Photovoltaic Energy Prediction. 523-527
Special Session: Machine Learning Applications in Education
- Ricardo Timarán Pereira, Javier Caicedo Zambrano:
Application of Decision Trees for Detection of Student Dropout Profiles. 528-531 - Mitsunori Ogihara, Gang Ren:
Student Retention Pattern Prediction Employing Linguistic Features Extracted from Admission Application Essays. 532-539 - Farooq Ahmad, Ayesha Sadiq, Ana María Martínez Enríquez, Aslam Muhammad, Muhammad Waqas Anwar, Usama Ujaz Bajwa, Mudasser Naseer, Sher Afzal Khan:
Component Based Architecture for the Control of Crossing Regions in Railway Networks. 540-545 - Halil-Ibrahim Bülbül, Nese Usta, Musa Yildiz:
Classification of ECG Arrhythmia with Machine Learning Techniques. 546-549 - Muhammad Ajmal, Mudasser Naseer, Farooq Ahmad, Asma Saleem:
Human Motion Trajectory Analysis Based Video Summarization. 550-555 - Iftikhar Ahmad, Bushra Mukhtar, Kadir Kutlu, Farooq Ahmad:
A Simple Neuro-Heuristic Computational Intelligence Algorithm for Thin Film Flow Equation Arising in Physical Models. 556-561
Special Session: Machine Learning for Predictive Models in Engineering Applications
- Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez:
Support Vector Regression for Predicting the Enhancement Duration of Software Projects. 562-567 - Nadia Masood Khan, Gul Muhammad Khan:
Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN). 568-573 - Pedro Otávio Cardozo de Souza Ribeiro, Matheus Machado dos Santos, Paulo Lilles Jorge Drews Junior, Silvia Silva da Costa Botelho:
Forward Looking Sonar Scene Matching Using Deep Learning. 574-579 - Bhavani Anantapur Bache, Omar Iftikhar, Omid Dehzangi:
Brace Treatment Monitoring Solution for Idiopathic Scoliosis Patients. 580-585 - Mourad Badri, Linda Badri, Oussama Hachemane, Alexandre Ouellet:
Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented Software. 586-592 - Georges Chaaya, Elisabeth Métais, Jacques Bou Abdo, Raja Chiky, Jacques Demerjian, Kablan Barbar:
Evaluating Non-personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems. 593-600 - Evgeni Bikov, Pavel Boyko, Evgeny Sokolov, Dmitry Yarotsky:
Railway Incident Ranking with Machine Learning. 601-606 - Timothy Oladunni, Sharad Sharma, Raymond Tiwang:
A Spatio - Temporal Hedonic House Regression Model. 607-612 - Timothy Oladunni, Sharad Sharma, Raymond Tiwang:
Foreclosure Sale and House Value: Correlation or Causation? 613-618 - Nicolas Aussel, Samuel Jaulin, Guillaume Gandon, Yohan Petetin, Eriza Fazli, Sophie Chabridon:
Predictive Models of Hard Drive Failures Based on Operational Data. 619-625 - Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Amol Joshi:
Bayesian Networks for Inverse Inference in Manufacturing Bayesian Networks. 626-631
Special Session: Machine Learning on Big Data
- Noel Lopes, Bernardete Ribeiro:
Novel Trends in Scaling Up Machine Learning Algorithms. 632-636 - M. Omair Shafiq, Maryam Fekri, Rami Ibrahim:
MapReduce Based Classification for Fault Detection in Big Data Applications. 637-642 - Loredana Caruccio, Vincenzo Deufemia, Giuseppe Polese:
Learning Effective Query Management Strategies from Big Data. 643-648 - James A. Brown, Alfredo Cuzzocrea, Michael Kresta, Korbin D. L. Kristjanson, Carson K. Leung, Timothy W. Tebinka:
A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data. 649-654 - Alfredo Cuzzocrea, Enzo Mumolo, Gianni Viardo Vercelli:
Advanced ECHMM-Based Machine Learning Tools for Complex Big Data Applications. 655-660
Special Session: Machine Learning Applications in Psychiatric Research
- Elizabeth Stevens, Abigail Atchison, Laura Stevens, Esther Hong, Doreen Granpeesheh, Dennis Dixon, Erik Linstead:
A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder. 661-666 - Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz:
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. 667-673 - Yuelin Li, Barry Rosenfeld, Hayley Pessin, William Breitbart:
Bayesian Nonparametric Clustering of Patients with Advanced Cancer on Anxiety and Depression. 674-678
Conference Poster Papers
- Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen:
On Classifying Facial Races with Partial Occlusions and Pose Variations. 679-684 - Wendy Fisher, Blake Jackson, Tracy Camp, Valeria V. Krzhizhanovskaya:
Anomaly Detection in Earth Dam and Levee Passive Seismic Data Using Multivariate Gaussian. 685-690 - Norma Ramírez Hernández, Maria Citlalli Hernandez Escareno, Juan Rodolfo Maestre Rendon:
Image Analysis Tool with Laws' Masks to Bone Texture. 691-694 - Nicholas Klausner, Mahmood R. Azimi-Sadjadi:
Multiple Kernel Learning Using Sparse Representation. 695-700 - Ryouei Takahashi, Yukihiro Nakamura:
Ant Colony Optimization with Stepwise Localization of the Discrete Search Space to Solve Function Optimization Problems. 701-706 - Marc Szafraniec, Gautier Marti, Philippe Donnat:
Putting Self-Supervised Token Embedding on the Tables. 707-710 - Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina:
Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. 711-715 - Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina:
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. 716-720 - Jianping Fan, Tianyi Zhao, Zhenzhong Kuang, Zhou Yu, Jun Yu:
Deep Mixture of Experts with Diverse Task Spaces. 721-725 - Jun Yu, Zhenzhong Kuang, Zhou Yu, Dan Lin, Jianping Fan:
Privacy Setting Recommendation for Image Sharing. 726-730 - Joshua Smith, Michael Gashler:
An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight Averaging. 731-736 - Anirban Das, Min-Yi Shen, Madhu Shashanka, Jisheng Wang:
Detection of Exfiltration and Tunneling over DNS. 737-742 - Carl-Johan Hoel, Mattias Wahde, Krister Wolff:
An Evolutionary Approach to General-Purpose Automated Speed and Lane Change Behavior. 743-748 - Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh:
Computable Expert Knowledge in Computer Games. 749-754 - Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levi:
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine. 755-760 - Haodi Jiang, Turki Turki, Jason T. L. Wang:
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. 761-764 - Suresh Kumar Gudla, Joy Bose, Venugopal Gajam, Srinath Srinivasa:
Relevancy Ranking of User Recommendations of Services Based on Browsing Patterns. 765-768 - Ayantha Randika, Manjusri Ishwara Ellepola Wickramasinghe:
A Neural Network Approach to Derive the Horizontal Spaces in Typefaces. 769-773 - Vinícius de Oliveira Silva, Flavio de Barros Vidal, Alexandre Ricardo Soares Romariz:
Human Action Recognition Based on a Two-stream Convolutional Network Classifier. 774-778 - Thanh Nguyen, Snehasis Mukhopadhyay:
Multidisciplinary Optimization in Decentralized Reinforcement Learning. 779-784 - Anish Anil Patankar, Joy Bose:
Bias Discovery in News Articles Using Word Vectors. 785-788 - Gordon Chalmers, Shelby H. Funk:
Adjusting Real-Time Mode Transitions via Genetic Algorithms. 789-794 - Alexander Pacha, Horst Eidenberger:
Towards Self-Learning Optical Music Recognition. 795-800 - Marco Wrzalik, Dirk Krechel:
Human Action Recognition Using Optical Flow and Convolutional Neural Networks. 801-805 - Shubham Khunteta, Ashok Kumar Reddy Chavva:
Deep Learning Based Link Failure Mitigation. 806-811 - Henrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou:
Conformal Prediction Using Random Survival Forests. 812-817 - Guojing Cong, Onkar Bhardwaj:
A Hierarchical, Bulk-Synchronous Stochastic Gradient Descent Algorithm for Deep-Learning Applications on GPU Clusters. 818-821 - Maryam Ziaeefard, Robert Bergevin, Jean-François Lalonde:
Deep Uncertainty Interpretation in Dyadic Human Activity Prediction. 822-825 - Michael Walton, Maurice Ayache, Logan Straatemeier, Daniel Gebhardt, Benjamin Migliori:
Unsupervised Anomaly Detection for Digital Radio Frequency Transmissions. 826-832 - Walid Gomaa, Reda Elbasiony, Sara Ashry Mohammed:
ADL Classification Based on Autocorrelation Function of Inertial Signals. 833-837 - Md. Moniruzzaman, Ken Barker:
Inferring Time when People Visit a Location Using Social Network Data. 838-841 - Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão:
Predicting Waiting Time Overflow on Bank Teller Queues. 842-847 - Tatjana Chavdarova, François Fleuret:
Deep Multi-camera People Detection. 848-853 - Longhui Qin, Yilei Zhang:
Surface Roughness Discrimination Using Unsupervised Machine Learning Algorithms. 854-857 - Richard A. Bauder, Taghi M. Khoshgoftaar:
Medicare Fraud Detection Using Machine Learning Methods. 858-865 - Tiago J. Carvalho, Edmar R. S. De Rezende, Matheus T. P. Alves, Fernanda K. C. Balieiro, Ricardo B. Sovat:
Exposing Computer Generated Images by Eye's Region Classification via Transfer Learning of VGG19 CNN. 866-870 - Val Mikos, Chun-Huat Heng, Arthur Tay, Nicole Shuang Yu Chia, Karen Koh Mui Ling, Dawn May Leng Tan, Wing Lok Au:
Real-Time Patient Adaptivity for Freezing of Gait Classification Through Semi-Supervised Neural Networks. 871-876 - Yesoda Bhargava, Raj Roy:
HWBI : Health and Well-Being Index. A Neural Network Based Index Which Quantifies the Cumulative Impact of Lifestyle Habits on Personal Health and Well-Being and Demonstration of Its Application in Managing the Risk of Diabetes. 877-882 - Pablo A. Henríquez, Gonzalo A. Ruz:
An Empirical Study of the Hidden Matrix Rank for Neural Networks with Random Weights. 883-888 - Ziqiang Shi, Rujie Liu:
Better Worst-Case Complexity Analysis of the Block Coordinate Descent Method for Large Scale Machine Learning. 889-892 - Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa:
Collaborative Filtering Based on the Latent Class Model for Attributes. 893-896 - Esteban Ricalde, Wolfgang Banzhaf:
Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism. 897-902 - Tomer Lancewicki:
Sequential Inverse Approximation of a Regularized Sample Covariance Matrix. 903-907 - Nataliia Kozlovskaia, Alexey Zaytsev:
Deep Ensembles for Imbalanced Classification. 908-913 - Ibrahim Alagöz, Thomas Hoiss, Reinhard German:
Modeling a Classifier for Solving Safety-Critical Binary Classification Tasks. 914-919 - Michelangelo Diligenti, Soumali Roychowdhury, Marco Gori:
Integrating Prior Knowledge into Deep Learning. 920-923 - Georgios Kathareios, Andreea Anghel, Akos Mate, Rolf Clauberg, Mitch Gusat:
Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates. 924-929 - Aleksandr Savchenkov, Andrew Davis, Xuan Zhao:
Generalized Convolutional Neural Networks for Point Cloud Data. 930-935 - Xiangyu Hou, Chi-Un Lei, Yu-Kwong Kwok:
OP-DCI: A Riskless K-Means Clustering for Influential User Identification in MOOC Forum. 936-939 - Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho:
Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders. 940-943 - Long Cheng, Yiyi Yu, Xinyang Liu, Jinyu Su, Yani Guan:
Recognition of Human Activities Using Fast and Adaptive Sparse Representation Based on Wearable Sensors. 944-949 - Christopher Bellman, Miguel Vargas Martin:
Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training. 950-954 - Alper Köse, Can Kanbak, Noyan Evirgen:
Performance Comparison of Algorithms for Movie Rating Estimation. 955-959 - Laleh Asadzadeh, Shahram Rahimi:
Analyzing Facebook Activities for Personality Recognition. 960-964 - Andrei Pavel, Vasile Palade, Rahat Iqbal, Diana Hintea:
Using Short URLs in Tweets to Improve Twitter Opinion Mining. 965-970 - Sanggyu Han, Sung-Hyon Myaeng:
Tree-Structured Curriculum Learning Based on Semantic Similarity of Text. 971-976 - Bo Liu, Shuo Yan, Huanling You, Yan Dong, Jianqiang Li, Yong Li, Jianlei Lang, Rentao Gu:
An Ensembled RBF Extreme Learning Machine to Forecast Road Surface Temperature. 977-980 - Abdullah Sheneamer, Hanan Hazazi, Swarup Roy, Jugal Kalita:
Schemes for Labeling Semantic Code Clones using Machine Learning. 981-985 - Sonu Agarwal, Sanjay Ghosh:
Evaluation of Microgesture Recognition Using a Smartwatch. 986-991 - Caleb Vununu, Ki-Ryong Kwon, Eung-Joo Lee, Kwang-Seok Moon, Suk-Hwan Lee:
Automatic Fault Diagnosis of Drills Using Artificial Neural Networks. 992-995 - Weining Wu:
Actively Discover Knowledge by Structural Risk Estimation. 996-999 - Stefan Hoermann, Martin Bach, Klaus Dietmayer:
Learning Long-Term Situation Prediction for Automated Driving. 1000-1005 - Nassara Elhadji-Ille-Gado, Edith Grall-Maës, Malika Kharouf:
Transfer Learning for Large Scale Data Using Subspace Alignment. 1006-1010 - Edmar R. S. De Rezende, Guilherme C. S. Ruppert, Tiago J. Carvalho, Fabio Ramos, Paulo L. de Geus:
Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network. 1011-1014 - Neeraj Sharma, Aroor Dinesh Dileep, Veena Thenkanidiyoor:
Text Classification Using Hierarchical Sparse Representation Classifiers. 1015-1019 - Debora G. Reis, Rommel N. Carvalho, Ricardo S. Carvalho, Marcelo Ladeira:
Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases. 1020-1023 - A. Joseph, Tarek Hijal, John Kildea, Laurie J. Hendren, David Herrera:
Predicting Waiting Times in Radiation Oncology Using Machine Learning. 1024-1029 - Augusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho:
Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction. 1030-1034 - Sid Ahmed Walid Talha, Anthony Fleury, Sebastien Ambellouis:
Human Action Recognition from Body-Part Directional Velocity Using Hidden Markov Models. 1035-1040 - Aaron W. Dennis, Dan Ventura:
Autoencoder-Enhanced Sum-Product Networks. 1041-1044 - Koosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep K. S. Gupta:
Performance and Security Strength Trade-Off in Machine Learning Based Biometric Authentication Systems. 1045-1048 - Nuno António, Ana de Almeida, Luís Nunes:
Predicting Hotel Bookings Cancellation with a Machine Learning Classification Model. 1049-1054 - Pranjul Yadav, Unmesh Kurup, Mohak Shah:
Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure. 1055-1060 - Robert Fisher, Asim Smailagic, George Sokos:
Monitoring Health Changes in Congestive Heart Failure Patients Using Wearables and Clinical Data. 1061-1064 - Tom Arjannikov, George Tzanetakis:
Histogram-Based Asymmetric Relabeling for Learning from Only Positive and Unlabeled Data. 1065-1070 - Junghyo Lee, Prajwal Paudyal, Ayan Banerjee, Sandeep K. S. Gupta:
FIT-EVE&ADAM: Estimation of Velocity & Energy for Automated Diet Activity Monitoring. 1071-1074 - Luiz Carlos Barbosa Martins, Rommel N. Carvalho, Ricardo S. Carvalho, Márcio de Carvalho Victorino, Maristela Holanda:
Early Prediction of College Attrition Using Data Mining. 1075-1078 - Subhasish Das, Anurag Agrawal, Ayan Banerjee, Sandeep K. S. Gupta:
Model Guided Deep Learning Approach Towards Prediction of Physical System Behavior. 1079-1082 - Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski:
Time-Sensitive Behavior Prediction in a Health Social Network. 1083-1088 - James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
Incremental Open Set Intrusion Recognition Using Extreme Value Machine. 1089-1093 - Nunung Nurul Qomariyah, Dimitar Kazakov:
Mixed Type Multi-attribute Pairwise Comparisons Learning. 1094-1097 - Anderson Lebbad, Garrett M. Clayton, Chandrasekhar Nataraj:
Classification of UXO Using Convolutional Networks Trained on a Limited Dataset. 1098-1101 - Stefano Fenu, Christopher J. Rozell:
Rank Learning by Ordinal Gerrymandering. 1102-1107 - Abdalraouf Hassan, Ausif Mahmood:
Efficient Deep Learning Model for Text Classification Based on Recurrent and Convolutional Layers. 1108-1113
Special Session Poster Papers
- Andrei Belcin, Sean Floyd, Areej Asiri, Herna L. Viktor:
An Exploratory Study of Oral and Dental Health in Canada. 1114-1119 - Alexander Bartl, Gerasimos Spanakis:
A Retrieval-Based Dialogue System Utilizing Utterance and Context Embeddings. 1120-1125 - Dipankar Das, Shiva Murthy Busetty, Vishal Bharti, Prakhyath Kumar Hegde:
Strength Training: A Fitness Application for Indoor Based Exercise Recognition and Comfort Analysis. 1126-1129 - Chinmaya R. Naguri, Razvan C. Bunescu:
Recognition of Dynamic Hand Gestures from 3D Motion Data Using LSTM and CNN Architectures. 1130-1133 - Babafemi O. Odelowo, David V. Anderson:
A Mask-Based Post Processing Approach for Improving the Quality and Intelligibility of Deep Neural Network Enhanced Speech. 1134-1138 - Mei-Chih Chang, Peter Bus, Gerhard Schmitt:
Feature Extraction and K-means Clustering Approach to Explore Important Features of Urban Identity. 1139-1144 - Ilya Kachalsky, Ilya Zakirzyanov, Vladimir Ulyantsev:
Applying Reinforcement Learning and Supervised Learning Techniques to Play Hearthstone. 1145-1148 - Naomi Joseph, Parita Sanghani, Hongliang Ren:
Semi-Automated Segmentation of Glioblastomas in Brain MRI Using Machine Learning Techniques. 1149-1152
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