IEEE ICMLA17
DECEMBER 18-21, 2017 | CANCUN, MEXICO

Tentative Program


You can download the conference program here: conference program


You can see the tutorial program here: tutorial program



Monday December 18: Special Sessions

12:00 – 2:00pm

Registration

2:00pm – 3:30pm

SS1: ML Algorithms Systems & Applications (1)

Gain Parameter and Dropout Based Fine Tuning of Deep Networks        
M. Arif Wani; Saduf Afzal

HDLTex: Hierarchical Deep Learning for Text Classification        
Kamran Kowsari; Donald Brown; Mojtaba Heidarysafa; Kiana Jafari Meimandi; Matthew Gerber; Laura Barnes

A Noise Prediction and Time-Domain Subtraction Approach To Deep Neural Network
Based Speech Enhancement
        
Babafemi Odelowo; David  Anderson

Granular Computing with Compatibility Based Intuitionistic Fuzzy Rough Sets        
Sibasis Bandyopadhyay; Jingtao Yao

SS2: ML in Big Data and Information Security (1)

DDoS Attack Modeling and Detection Using SMO        

Salva  Daneshgadeh; Nazife  Baykal; Seyda  Ertekin

Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors        

Kelly Huffer; Robert Bridges; Michael Iannacone; Corinne Jones; John Goodall

Privacy Preserving Record Linkage using MetaSoundex Algorithm        

Keerthi Koneru; Cihan Varol

SS3: ML in Energy Applications (1)

Forecasting domestic hot water demand in residential house using artificial neural networks

Alexandra Delorme-Costil; Jean-Jacques Bezian

A Learning Framework for Control-Oriented Modeling of Buildings        

Javier Rubio-Herrero; Vikas Chandan; Charles Siegel; Abhinav Vishnu; Draguna Vrabie

Multistep-ahead Streamflow and Reservoir Level Prediction Using ANNs for Production Planning in Hydroelectric Stations        

Jorge Hernández-Ambato; Gabriel Asqui-Santillan; Alberto Arellano; Santiago Cunalata

Modelling of Fuzzy Logic Controller of a Maximum Power Point Tracker Based on Artificial Neural Network

Rabah Benkercha; Samir Moulahoum; Ilhami Colak

3:30pm – 4:00pm

Tutorial: Machine Learning for Industrial Predictive Analytics

(3:30pm – 6:00pm)

Evgeny Burnaev and Alexey Zaytsev

Coffee Break

4:00pm – 5:10pm

SS2: ML in Big Data and Information Security (2)

Machine Learning Methods Used in Evaluations of Secure Biometric System Components
Bilgehan Arslan; Mehtap  Ülker; Seref SAGIROGLU

Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware        
Qian Chen; Robert Bridges

Automatic Bitcoin Address Clustering        
Maxim Panov; Yury Yanovich

SS3: ML in Energy Applications (2)

Efficient prediction of Dynamic tariff in Smart Grid using CGP evolved Artificial Neural Networks        

Gul Muhammad Khan; Rabia Arshad; Nadia Masood Khan

Solar Radiation Prediction Improvement Using Weather Forecasts        

William Sanders; Chris Barrick; Frederick  Maier; Khaled Rasheed

Prediction of Power Grid Failure using Neural Network Learning        

Carmen Haseltine; Eman El-Sheikh

6:30pm -

Conference Reception

Tuesday December 19: Main Conference & Special Sessions

7:30am – 8:30am

Breakfast & Registration

8:30am – 8:45am

Opening Remarks

8:45am – 10:00am

Keynote 1: TBD

Dr. Danilo P. Mandic

Professor of Signal Processing, Imperial College

10:00am – 10:30am

Coffee Break

10:30am – 12:00

C1A: Deep Learning I

Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks

Aleksei Shpilman

DeepPositioning:  Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning        

Wei Zhang, Weimin Lei,  John Fodero, Shiv Shiv Rajora, Xiaolin Li

Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game

Elhadji  DIALLO, Ayumi Sugiyama, Toshiharu Sugawara

Deep Learning for Microalgae Classification        

Iago  Corrêa, Paulo Drews Jr, Márcio Silva de Souza, Virginia Tavano

C1B: Clustering methods with applications

Anomaly Prediction Based on k-means Clustering for Memory-constrained Embedded Devices        

Yuto Kitagawa, Tasuku Ishigoka, Takuya Azumi

Clustering Distributed Short Time Series with Dense Patterns          

Josenildo da Silva,  Gustavo H. B. S. Oliveira, Stefano  Lodi, Matthias  Klusch

Over-dispersion for Network Data Clustering          

Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong

SS1: ML Algorithms Systems & Applications (3)

Subject-Dependent SSVEP Identification Using GMM Training and Adaptation        
Muhamed Farooq; Omid  dehzangi

Supervised machine learning based surface inspection by synthetizing artificial defects        
Matthias Haselmann

Adventure Game With A Neural Network Controlled Non-playing Character        

Michael Weeks

A new approach to segment hemorrhagic stroke in computed tomography via Optimum

Path Snake        

Pedro Rebouças Filho; Solon Alves; Aldisio G, Medeiros; Antônio Carlos Silva Barros

12:00 – 1:30pm

Lunch

1:30pm – 3:00pm

C2A: Machine Learning
Applications I

Seismic Attribute Assisted Inter-pretation Confidence Classification Using Machine Learning        

Wolfgang Weinzierl, Schlumberger

A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations        

Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Luis Rueda

Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life        

Rachel Cassidy, Danielle Belgrave, Daniel Stamate

Home Appliance Energy Disaggregation Using Low Frequency Data and Machine Learning Classifiers        

Yan Gao, Alan Schay, Daqing Hou, Jorge Ortiz

C2B: Computer Vision

On the Impacts of Noise from Group-Based Label Collection for Visual Classification        

Maggie Wigness, Steven Gutstein

Learning Robust Video Synchronization without Annotations        

Patrick Wieschollek, Hendrik Lensch

Google's Cloud Vision API Is Not Robust To Noise        

Hossein Hosseini, Baicen Xiao, Radha Poovendran

Machine Learning in Appearance-based Robot Self-localization        

Evgeny Burnaev, Skoltech, Alexander Bernstein, Yury Yanovich, Alexander Kuleshov

SS1: ML Algorithms Systems & Applications (4)

Automated Patent Classification Using Word Embedding        

Mattyws Grawe; Claudia Martins; Andreia Bonfante 

Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis        

Doyup Lee

RBF-FIRMLP Architecture for Digit Recognition        

Cristinel Codrescu

Incremental Dynamic Search Solver

Ali Hmer; Malek Mouhoub

3:00pm – 3:30pm

Coffee Break

3:30pm – 5:00pm

C3A: Text and Natural Language Processing

Learning Antecedent Structures        

Jing Lu, Vincent Ng

Automatic Generation and Recommendation for API Mashups

Qinghan Xue,Lei Liu, Weipeng Chen

Classification-based Adaptive Web Scraper        

Ujwal B V S, Bharat Gaind, Abhishek Kundu, Kamalesh Sampath, Anusha Holla, Mukund Rungta

C3B: Optimization and advanced learning methods

Stochastic Primal-Dual Method on Riemannian Manifolds with Bounded Sectional Curvature        

Masoud Badiei Khuzani, Na Li

Anytime Exploitation of Stragglers in Synchronous Stochastic Gradient Descent        

Nuwan Ferdinand, Benjamin Gharachorloo,  Stark Draper

An Evolutionary Learning Approach to Self-Configuring Image Pipelines in the Context of Carbon Fiber Fault Detection        

Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Joerg Haehner

Online Structure-Search for Sum-Product Networks        

Aaron Dennis, Dan Ventura

SS4: ML in Smart Grid

A Review of Deep Learning Methods Applied on Load Forecasting        

Abdulaziz Almalaq; George Edwards

Mitigating IoT-based Cyberattacks on the Smart Grid        

Yasin Yilmaz; Suleyman Uludag

A Novel Application of Naïve Bayes Classifier in Photovoltaic Energy Prediction        

RAMAZAN BAYINDIR; Mehmet Yesilbudak; Medine Colak; Naci Genc

Evening

Wednesday December 20: Main Conference & Special Sessions

7:30am – 8:30am

Breakfast

8:30am – 9:45am

Keynote 2: From Big Data to Big Knowledge: Knowledge Engineering with Big Data

Dr. Xindong Wu

Professor, University of Louisiana at Lafayette (USA)

Yangtze River Scholar, Hefei University of Technology (China)

9:45am – 10:00am

Coffee Break

10:00am – 11:00am

C4A: Machine Learning
Applications II

A Machine Learning Approach to Detecting Sensor Data Modification Intrusions in WBANs        

Alexander Verner, Dany Butvinik

Automatic Algorithm Recognition of Source-Code using Machine Learning        

Maged Shalaby, Tarek Mehrez, Amr El Mougy, Khalid Abdulnasser, Aysha Alsafty

Realistic Traffic Generation for Web Robots        

Kyle Brown, Derek Doran

C4B: Neural Networks

Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference        

Bradley McDanel

Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning        

Kangil Kim

Recognition of Sound using Masked Conditional Neural Networks        

Fady Medhat, David Chesmore, John Robinson

SS5: ML Applications
in Education (1)

Aplication of Decision Trees for Detection of Student Dropout Profiles        

Ricardo S. Timaran-Pereira; Javer Caicedo-Zambrano

Student Retention Pattern Prediction Employing Linguistic Features Extracted from Admission Application Essays        

Mitsunori Ogihara; Gang Ren

Component based Architecture for the Control of Crossing Regions in Railway Networks        

Farooq Ahmad; Ayesha Sadiq; Martinez-Enriquez A.M.; Muhammad Waqas Anwar; Usama Ijaz Bajwa; Mudasser Naseer; Sher Afzal Khan

11:00am – 11:30am

Coffee Break

11:30am – 12:30pm

C5A: Deep Learning II

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks        

Ludovic Trottier, Philippe Giguere, Brahim Chaib-draa

Understading Image Restoration Convolutional Neural Networks with Network Inversion        

Églen Protas, José Bratti, Joel Gaya, Paulo Drews Jr, Silvia Botelho

Lecture video indexing using boosted margin maximizing neural networks        

Di Ma, Xi Zhang, Xu Ouyang, Gady Agam

C5B: Ensemble methods

Direct multiclass boosting using base classifiers' posterior probabilities estimates        

Mathias Bourel,  Badih Ghattas

Classification of Pollen Grain Images Based on an Ensemble of Classifiers        

David Arias, Marcos Cirne,  Josimar Saire, Helio Pedrini

UoI-NMF_cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data        

Shashanka Ubaru, Kesheng Wu, Kristofer Bouchard

SS5: ML Applications

in Education (2)

Classification Of ECG Arrhythmia With Machine Learning Techniques        

Halil Ibrahim BULBUL; Neşe USTA; Musa YILDIZ

Human motion trajectory analysis based video summarization        

Mudasser Naseer; Ajmal Muhammad ; Farooq Ahmad; Asma Saleem

A simple neuro-Heuristic computational intelligence algorithm for thin film flow equation arising in physical models

Iftikhar Ahmad; Bushra Mukhtar; Kadir Kutlu; Farooq Ahmad

12:30pm – 2:00pm

Lunch

2:00pm – 3:30pm

C6A: Speech and Signal Processing

Deep Transductive Non-negative Matrix Factorization for Speech Separation        

Yalin Liu, Naiyang Guan, Jie Liu

An empirical study of cross-lingual transfer learning techniques for small-footprint keyword spotting        

Ming Sun, Andreas Schwarz, Minhua Wu, Nikko Strom, Spyros Matsoukas and Shiv Vitaladevuni

Wearable Motion Sensor Based Analysis of Swing Sports         

Akash Anand, Manish Sharma, Rupika Srivastava, Divya Prakash, Lakshmi Kaligounder

Multiple Kernel Representation Learning for WiFi-based Human Activity Recognition        

Han Zou, Yuxun Zhou

C6B: Advanced Classification Methods

Multi-label Classification With Weighted Labels Using Learning Classifier Systems        

Shabnam Nazmi, Mohammad Razeghi-Jahromi, Abdollah Homaifar

Integrated Framework for Improving Large-scale Hierarchical Classification        

Azad Naik, Huzefa Rangwala

Stacking Methods for Hierarchical Classification        

Felipe Nakano, Ricardo Cerri, Saulo Mastelini, Sylvio Barbon

NMF-based Label Space Factorization for Multi-label Classification        

Mohammad Firouzi, Mahmood Karimian, Mahdieh Soleymani

SS6: ML for Predictive Models in Engineering Applications (1)

Support Vector Regression for Predicting the Enhancement Duration of Software Projects

Cuauhtemoc Lopez-Martin; Shadi Banitaan; Andrés  García-Floriano; Cornelio  Yáñez-Márquez

Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)        

Nadia Masood Khan; Gul Muhammad Khan

Forward Looking Sonar Image Matching using Deep Learning        

Pedro Otávio Ribeiro; Matheus Santos; Paulo Drews Jr; Silvia Botelho

Brace treatment Monitoring Solution for Idiopathic Scoliosis Patients        

Omar Iftikhar; Omid  dehzangi; Bhavani Anantapur Bache; Jeffrey Wensman; Ying Li

3:30pm – 4:00pm

Coffee Break

4:00pm – 6:00pm

Poster Session

Evening

Banquet

Thursday December 21: Main Conference & Special Sessions

7:30am – 8:30am

Breakfast

8:30am – 10:00am

C7A: Machine Learning
Applications III

Automatic scoring of a nonword repetition test        

Meysam Asgari 

Security of Machine Learning Algorithms in Biometric Authentication Systems        

Koosha Sadeghi, Ayan Banerjee,  Javad Sohankar, Sandeep Gupta

Thyme: Improving Smartphone Prompt Timing through Activity Awareness        

Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew  Sawyer, Diane Cook

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment        

Pedro  Vendas da Costa, Christos Faloutsos

SS6: ML for Predictive Models in Engineering Applications (2)

Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented Software        

Badri Mourad; Badri Linda; Hachemane Oussama; Ouellet Alexandre

Evaluating Non-Personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems        

Georges Chaaya; Jacques Bou Abdo

Railway Incident Ranking with Machine Learning        

Dmitry Yarotsky

SS7: ML on Big Data

Novel Trends in Scaling Up Machine Learning Algorithms        

Noel Lopes

MapReduce based Classification for Fault Detection in Big Data Applications         

Omair Shafiq

Learning from Big Data: how to Effectively Manipulate Data        

Loredana Caruccio; Vincenzo Deufemia; Giuseppe Polese

An Unsupervised Learning Method for Supporting Advanced Know-ledge Discovery from Game Data        

Carson Leung; Alfredo Cuzzocrea

Avdanced ECHMM-Based Machine Learning Tools for Complex Applications        

Enzo Mumolo; alfredo cuzzocrea; Gianni Vercelli

10:00am – 10:30am

Coffee Break

10:30am – 12:00

C8A: Advanced Learning Methods

The Effect of Communication on Noncooperative Multiplayer Multi-Armed Bandit Problems        

Noyan Evirgen, Alper Kose

Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance        

Karl Weiss, Taghi Khoshgoftaar

RobustSPAM for inference from noisy longitudinal data and preservation of privacy        

Anna Palczewska, Jan Palczewski, Georgios Aivaliotis

On the Limitation of Convolutional Neural Networks in Recognizing Negative Images        

Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran

SS6: ML for Predictive Models in Engineering Applications (3)

A Spatio – Temporal Hedonic House Regression Model        

Timothy Oladunni

Predictive Models of Hard Drive Failures based on Operational Data

Nicolas Aussel; Samuel Jaulin; Guillaume Gandon; Yohan Petetin; Eriza Fazli; Sophie Chabridon

Bayesian networks for inverse inference in manufacturing        

Avadhut Sardeshmukh; Sreedhar Reddy; B P Gautham; Amol Joshi

SS8: ML Applications in Psychiatric Research

A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder        

Elizabeth Stevens; Abigail Atchison; Laura Stevens; Esther Hong; Doreen Granpeesheh; Dennis Dixon; Erik Linstead

Predicting Psychosis Using The Experience Sampling Method        

Andrea Katrinecz; Daniel Stamate; Wajdi Alghamdi; Daniel Stahl; Philippe Delespaul; Jim van Os; Sinan Guloksuz

Bayesian Nonparametric Clustering of Patients with Advanced Cancer on Anxiety and Depression        

Yuelin Li; Barry Rosenfeld; Hayley Pessin; William Breitbart

12:00 – 12:15pm

Closing Remarks

 


Poster Papers


Main Conference Posters: Wednesday December 20, 3:30pm – 5:00pm

104        On Classifying Facial Races with Partial Occlusions and Pose Variations        
Tarik Alafif, Zeyad Hailat, Melih Aslan,  Xuewen Chen

109        Anomaly Detection in Earth Dam and Levee Passive Seismic Data using Multivariate Gaussian        
Wendy Fisher, Wendy Fisher,Blake Jackson,  Tracy Camp, Valeria Krzhizhanovskaya

112        Image analysis tool with Laws’ masks to bone texture        
Norma Ramirez, Maria Citlalli  Hernández Escareño, Juan Rodolfo Maestre Rendón

115        Multiple Kernel Learning Using Sparse Representation        
Nick Klausner

116        Ant Colony Optimization with Stepwise Localization of the Discrete Search Space to Solve Function Optimization Problems        
Ryouei Takahashi, Yukihiro Nakamura

119        Putting Self-Supervised Token Embedding on the Tables        
Marc Szafraniec

120        Machine Learning Methods for 1D Ultrasound Breast Cancer Screening        
Neil Joshi, Seth Billings, Erica Schwartz, Susan Harvey, Philippe Burlina

121        A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection        
Arnaldo Horta,  Michael Pekala, Neil Joshi,  Jun Kong,  Katia Pacheco, Neil Bressler, David Freund, Philippe Burlina

122        Deep Mixture of Experts with Diverse Task Spaces        
Jianping Fan, Tianyi Zhao, Jun Yu, Wei Zhang,  Baopeng Zhang

123        Privacy Setting Recommendation for Image Sharing        
Jun Yu, Jianping Fan, Zhenzhong  Kuang, Dan Lin, Wei Zhang

126        An Investigation of How Neural Networks Learn From the Experiences of Peers Through Periodic Weight Averaging        
Josh Smith, Michael Gashler

141        Detection of Exfiltration and Tunneling over DNS        
Anirban Das, Min-Yi Shen, Madhusudana Shashanka, Charles Schwab; Jisheng Wang,

143        An Evolutionary Approach to General-Purpose Automated Speed and Lane Change Behavior        
Carl-Johan Hoel,

147        Computable Expert Knowledge in Computer Games        
Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh

148        SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine        
Milad Zafar Nezhad, Dongxiao Zhu,  Najibesadat Sadati, Kai Yang, Phillip Levi

151        Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function        
Haodi Jiang, Turki Turki, Jason Wang

156        Relevancy Ranking of User Recommendations of Services based on Browsing Patterns        
Joy Bose, Suresh Gudla, Srinath Srinivasa, Venu Gopal Gajam

158        A Neural Network Approach to Derive the Horizontal Spaces in Typefaces        
Ponnamperuma Arachchige Ayantha Randika, Manjusri Wickramasinghe

159        Human Action Recognition Based on a Two-stream Convolutional Network Classifier        
Vinícius Silva, Alexandre  Romariz, Flavio Vidal

162        Multidisciplinary Optimization in Decentralized Reinforcement Learning        
Thanh Nguyen, Snehasis Mukhopadhyay

164        Bias Discovery in News Articles Using Word Vectors        
Joy Bose, Anish Patankar

169        Adjusting Real-Time Mode Transitions via Genetic Algorithms        
Gordon Chalmers

171        Towards Self-Learning Optical Music Recognition        
Alexander Pacha, Horst Eidenberger

172        Human Action Recognition Using Optical Flow and Convolutional Neural Networks        
Marco Wrzalik, Dirk Krechel

176        Deep Learning based Link Failure Mitigation         
Shubham Khunteta, Ashok Kumar Reddy Chavva

192        Conformal prediction using random survival forests        
Henrik Bostrom, Lars Asker, Ram Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou

194        A Hierarchical, bulk-synchronous stochastic gradient descent   algorithm for deep-learning applications on GPU clusters        
Guojing Cong

199        Deep Uncertainty Interpretation in Dyadic Human Activity Prediction        
Maryam Ziaeefard,Robert Bergevin, Lalonde Jean-Francois

204        Unsupervised Anomaly Detection for Digital Radio Frequency Transmissions        
Benjamin Migliori, Daniel  Gebhardt, Michael Walton, Logan Straatemeier, Maurice Ayache

208        ADL Classification based on Autocorrelation Function of Inertial signals        
Walid Gomaa, Reda Elbasiony, Sara Mohammed

209        Inferring time when people visit a location using Social network data        
Md Moniruzzaman, Ken Barker

211        Predicting Waiting Time Overflow on Bank Teller Queues        
Roberto Mourão, Guilherme Ramos, Ricardo Carvalho, Rommel Carvalho

213        Deep Multi-Camera People Detection        
Tatjana Chavdarova,  Francois Fleuret

217        Surface roughness discrimination using unsupervised machine learning algorithms        
Longhui Qin, Yilei Zhang

220        Medicare Fraud Detection using Machine Learning Methods        
Richard A Bauder and Taghi M. Khoshgoftaar

221        Exposing Computer Generated Images by Eye’s Features Extraction via Transfer Learning of VGG19 CNN        
Tiago Carvalho, Matheus Teles, Edmar Rezende, Fernanda Balieiro, Ricardo Sovat

223        Real-Time Patient Adaptivity for Freezing of Gait Classification Through Semi-Supervised Neural Network
Val Mikos

224        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
Yesoda Bhargava, Raj  Roy

229        An empirical study of the hidden matrix rank for neural networks with random weights        
Pablo Henríquez, Gonzalo Ruz

231        Better Worst-case Complexity Analysis of the Block Coordinate Descent Method for Large Scale Machine Learning        
Ziqiang Shi, Rujie Liu

233        Collaborative Filtering Based on the Latent Class Model for Attributes        
Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa

234        Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism        
Esteban Ricalde Gonzalez, Wolfgang Banzhaf

236        A Sequential Inverse Approximation of a Regularized Sample Covariance Matrix        
Tomer Lancewicki

237        Deep Ensembles for Imbalanced Classification        
Natalia Kozlovskaya, Alexey Zaytsev

240        Modeling a Classifier for Solving Safety-Critical Binary Classification Tasks        
Ibrahim Alagöz

243        Integrating Prior Knowledge into Deep Learning        
Soumali Roychowdhury, Michelangelo Diligenti,  Marco Gori

244        Catch It If You Can: Real-Time Network Anomaly Detection With Low False Alarm Rates        
Georgios Kathareios, Andreea Anghel, Ákos Máté, Rolf Clauberg, Mitch Gusat

248        Generalized Convolutional Neural Networks for Point Cloud Data        
Aleksandr Savchenkov

249        OP-DCI: A Riskless K-Means Clustering for Influential User Identification in MOOC Forum        
Xiangyu Hou

250        Identifying anomalies in parliamentary expenditures of Brazilian Chamber of Deputies with Deep Learning
Thiago Gomes, Rommel Carvalho, Ricardo Carvalho

253        Recognition of Human Activities using Fast and Adaptive Sparse Representation based on Wearable Sensors        
Long Cheng, Yiyi Yu, Xinyang Liu, Yani Guan

254        Use of Machine Learning for Detection of Unaware Facial Recognition Without Individual Training        
Christopher Bellman, Miguel Vargas Martin

263        Performance Comparison of Algorithms for Movie Rating Estimation        
Alper Kose, Can Kanbak, Noyan Evirgen

266        ANALYZING FACEBOOK ACTIVITIES FOR PERSONALITY RECOGNITION        
Laleh Asadzadeh,  Shahram Rahimi

271        Using short URLs in tweets to improve Twitter opinion mining        
Andrei Pavel, V. Palade, R. Iqbal, A. Abdulrahman, D. Hintea

277        Tree-structured Curriculum Learning based on Semantic Similarity of Text        
Sanggyu Han, Sung-Hyon Myaeng

281        An Ensembled RBF Extreme Learning Machine to Forecast Road Surface Temperature        
Bo Liu, Shuo Yan, Huanling You, Jianqiang Li

287        Schemes for Labeling Semantic Code Clones using Machine Learning        
Abdullah Sheneamer, Hanan Hazazi, Swarup Roy, Jugal Kalita

290        Evaluation of Microgesture Recognition using a Smartwatch        
Gaurav Gupta, Sonu Agarwal, Sanjay Ghosh

293        Automatic Fault Diagnosis of Drills Using Artificial Neural Networks        
Caleb Vununu, Ki-Ryong  Kwon

294        Actively Discover Knowledge by Structural Risk Estimation        
Weining Wu

295        Learning Long-Term Situation Prediction for Automated Driving        
Stefan Hoermann, Martin Bach,  Klaus Dietmayer

299        Transfer Learning for Large Scale Data using Subspace Alignment        
Nassara ELHADJI-ILLE-GADO, Edith GRALL,  Malika KHAROUF

303        Malicious Software Classification using Transfer Learning of ResNet-50 Deep Neural Network        
Edmar Rezende, Guilherme Ruppert, Tiago Carvalho, Fabio Ramos, Paulo de Geus

306        Text Classification using Hierarchical Sparse Representation Classifiers        
Neeraj  Sharma, Dileep  A.D, Veena  Thenkanidiyoor

307        Two-phase Parallel Learning to Identify Similar Structures among Relational Databases        
DEBORA REIS, Ricardo Carvalho, Rommel Carvalho

309        Predicting waiting times in Radiation Oncology using machine learning        
Ackeem Joseph, John Kildea, Tarek Hijal, Laurie Hendren, David H.

310        Evaluating the use of Brazilian companies' financial footnotes texts for debt variation prediction        
Augusto Maeda, Ricardo Carvalho, Rommel Carvalho

322        Human Action Recognition from Body-Part Directional Velocity using Hidden Markov Models        
Sidahmed Talha, Anthony Fleury, Sébastien Ambellouis

324        Autoencoder-Enhanced Sum-Product Networks        
Aaron Dennis, Dan Ventura

329        Performance and Security Strength Trade-Off in Machine Learning Based Biometric Authentication Systems        
Koosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep Gupta

332        Predicting Hotel Bookings Cancellation With a Machine Learning Classification Model        
Nuno Antonio, Ana Almeida, Luis Nunes

333        Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure        
Pranjul Yadav, Unmesh Kurup, Mohak Shah

338        Monitoring Health Changes in Congestive Heart Failure Patients using Wearables and Clinical Data        
Robert Fisher, Asim Smailagic, Brian French, Daniel Siewiorek

342        Histogram-based Asymmetric Relabeling For Learning from Only Positive and Unlabeled Data        
Tom Arjannikov,  George Tzanetakis

345        FIT-EVE&ADAM: Estimation of Velocity & Energy for Automated Diet Active Monitoring        
Prajwal Paudyal, Junghyo Lee, Koosha Sadeghi, Javad Sohankar, Ayan Banerjee, Sandeep Gupta

346        Early prediction of college dropout using data mining        
Luiz Martins, Márcio Victorino, Maristela Holanda, Rommel Carvalho, Ricardo Carvalho

352        Model Guided Deep Learning Approach Towards Prediction of Physical System Behavior        
Subhasish Das, Anurag Agrawal, Ayan Banerjee, Sandeep Gupta

358        Time-Sensitive Behavior Prediction in a Health Social Network        
Amnay Amimeur, Hai Phan, Dejing Dou, Brigitte Piniewski, David Kil

363        Incremental Open Set Intrusion Recognition Using Extreme Value Machine        
James Henrydoss, Steve Cruz, Ethan Rudd, Terrance Boult

371        Preference Learning from Multi-attribute Pairwise Comparisons: A Car Recommender Case Study        
Nunung Qomariyah

373        A Deep-Learning-Based Approach for Automated Wagon Component Inspection        
Rafael Rocha, Ana Carolina Siravenha, Ana Claudia  Gomes, Gerson Serejo, Alexandre Silva, Luciano Rodrigues, Schubert Carvalho, Cleidson de Souza

378        Classification of UXO using Convolutional Networks Trained on a Limited Dataset
        Anderson Lebbad, Garrett Clayton, C. Nataraj

380        Rank Learning by Ordinal Gerrymandering        
Stefano Fenu

381        Efficient Deep Learning  Model for Text Classification Based on Recurrent and Convolutional Layers        
Abdalraouf Hassan

Special Session Posters: Wednesday December 20, 3:30pm – 5:00pm

154        An Exploratory Study of Oral and Dental Health in Canada        
Andrei  Belcin; Areej Ali A Asiri; Herna Viktor

276        A retrieval-based dialogue system utilizing utterance and context embeddings        
Alexander Bartl; Gerasimos Spanakis

305        Strength Training: A fitness application for indoor based exercise recognition and comfort analysis        
DIPANKAR DAS; SHIVA MURTHY BUSETTY; VISHAL BHARTI; PRAKHYATH KUMAR HEGDE

349        Recognition of Dynamic Hand Gestures from 3D Motion Data using LSTM and CNN architectures        
Chinmaya Naguri; Razvan Bunescu

354        A Mask-based Post Processing Approach for Improving The Quality and Intelligibility of Deep Neural Network Enhanced Speech        
Babafemi Odelowo; David  Anderson

410        Feature Extraction and K-means Clustering Approach to explore Important Features of Urban Identity        
Mei-Chih Chang; Peter Buš; Gerhard Schmitt

417        Applying reinforcement learning and supervised learning techniques to play your turn in Hearthstone        
Ilya Kachalsky; Ilya Zakirzyanov; Vladimir Ulyantsev

447        Semi-Automated Segmentation of Glioblastomas in Brain MRI Using Machine Learning Techniques        
Naomi Joseph, Parita Sanghani, Hongliang Ren

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