You can see the tutorial program here: tutorial program
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Monday December 18: Special Sessions |
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12:00 – 2:00pm |
Registration FOYER TULUM |
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2:00pm – 3:30pm |
SS1: ML Algorithms Systems & Applications (1) COBA SALON
Chair: Arif Wani, Moamar Sayed-Mouchaweh
445. HDLTex: Hierarchical Deep Learning for Text Classification
357. A Noise Prediction and Time-Domain Subtraction Approach To Deep Neural Network
225. Granular Computing with Compatibility Based Intuitionistic Fuzzy Rough Sets
437. Foreclosure Sale and House Value: Correlation or Causation? Timothy Oladunni; Sharad Sharma; Raymond Tiwang
394. A Spatio – Temporal Hedonic House Regression Model Timothy Oladunni; Sharad Sharma; Raymond Tiwang
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SS2: ML in Big Data and Information Security (1) UXMAL SALON
Chair: Seref Sagiroglu
279. DDoS Attack Modeling and Detection Using SMO Salva Daneshgadeh; Nazife Baykal; Seyda Ertekin
428. Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, and Enhanced Extractors Kelly Huffer; Robert Bridges; Michael Iannacone; Corinne Jones; John Goodall
431. Privacy Preserving Record Linkage using MetaSoundex Algorithm Keerthi Koneru; Cihan Varol |
SS3: ML in Energy Applications (1)
TULUM SECTION A
Chair: Ilhami Colak
443. Forecasting domestic hot water demand in residential house using artificial neural networks Alexandra Delorme-Costil; Jean-Jacques Bezian
440. A Learning Framework for Control-Oriented Modeling of Buildings Javier Rubio-Herrero; Vikas Chandan; Charles Siegel; Abhinav Vishnu; Draguna Vrabie
427. 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
426. Modelling of Fuzzy Logic Controller of a Maximum Power Point Tracker Based on Artificial Neural Network Rabah Benkercha; Samir Moulahoum; Ilhami Colak
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3:30pm – 4:00pm |
Tutorial: Machine Learning for Industrial Predictive Analytics COBA SALON
(3:30pm – 6:00pm)
Evgeny Burnaev Yermek Kapushev
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Break |
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4:00pm – 5:10pm |
SS2: ML in Big Data and Information Security (2) UXMAL SALON
Chair: Seref Sagiroglu
438. Machine Learning Methods Used in Evaluations of Secure Biometric System Components
439. Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware
441. Automatic Bitcoin Address Clustering |
SS3: ML in Energy Applications (2)
TULUM SECTION A
Chair: Ilhami Colak
272. Efficient prediction of Dynamic tariff in Smart Grid using CGP evolved Artificial Neural Networks Gul Muhammad Khan; Rabia Arshad; Nadia Masood Khan
256. Solar Radiation Prediction Improvement Using Weather Forecasts William Sanders; Chris Barrick; Frederick Maier; Khaled Rasheed
242. Prediction of Power Grid Failure using Neural Network Learning Carmen Haseltine; Eman El-Sheikh
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6:30pm - |
Conference Reception |
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Tuesday December 19: Main Conference & Special Sessions |
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7:30am – 8:30am |
Breakfast & Registration FOYER TULUM |
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8:30am – 8:45am |
Opening Remarks TULUM SECTION B+C Session Chair: Feng Luo |
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8:45am – 10:00am |
Keynote 1: Hearables: Continuous 24/7 monitoring of the state of body and mind TULUM SECTION B+C Dr. Danilo P. Mandic Professor of Signal Processing, Imperial College Session Chair: Feng Luo |
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10:00am – 10:30am |
Coffee Break |
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10:30am – 12:00 |
C1A: Deep Learning I
COBA SALON
Chair: Xiaolin (Andy) Li
185. Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks Aleksei Shpilman
261. DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning Wei Zhang, Rahul Sengupta, John Fodero, Xiaolin Li
212. Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game Elhadji DIALLO, Ayumi Sugiyama, Toshiharu Sugawara
316. Deep Learning for Microalgae Classification Iago Corrêa, Paulo Drews Jr, Márcio Silva de Souza, Virginia Tavano
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C1B: Clustering and classification methods with applications UXMAL SALON
Chair: Malek Mouhoub
135. Anomaly Prediction Based on k-means Clustering for Memory-constrained Embedded Devices Yuto Kitagawa, Tasuku Ishigoka, Takuya Azumi
183. Clustering Distributed Short Time Series with Dense Patterns Josenildo da Silva, Gustavo H. B. S. Oliveira, Stefano Lodi, Matthias Klusch
145. Over-dispersion for Network Data Clustering Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong
118. Deep Learning Based Car Damage Classification Kalpesh Patil, Mandar Kulkarni, Anand Sriraman, Shirish Karande |
SS1: ML Algorithms Systems & Applications (2) TULUM SECTION A
Chair: Arif Wani, Moamar Sayed-Mouchaweh
356. Subject-Dependent SSVEP Identification Using GMM Training and Adaptation
396. Supervised machine learning based surface inspection by synthetizing artificial defects
397. Adventure Game With A Neural Network Controlled Non-playing Character Michael Weeks
404. 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 |
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12:00 – 1:30pm |
Lunch |
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1:30pm – 3:00pm |
C2A: Machine Learning COBA SALON
Chair: Vincent Ng
103. Seismic Attribute Assisted Interpretation Confidence Classi-fication Using Machine Learning Wolfgang Weinzierl, Schlumberger
219. A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Luis Rueda
297. Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life Rachel Cassidy, Danielle Belgrave, Daniel Stamate
321. Home Appliance Energy Disaggregation Using Low Frequency Data and Machine Learning Classifiers Yan Gao, Alan Schay, Daqing Hou, Jorge Ortiz
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C2B: Computer Vision
UXMAL SALON
Chair: Guojing Cong
149. On the Impacts of Noise from Group-Based Label Collection for Visual Classification Maggie Wigness, Steven Gutstein
246. Learning Robust Video Synchronization without Annotations Patrick Wieschollek, Hendrik Lensch
267. Google's Cloud Vision API Is Not Robust To Noise Hossein Hosseini, Baicen Xiao, Radha Poovendran
341. Machine Learning in Appearance-based Robot Self-localization Evgeny Burnaev, Skoltech, Alexander Bernstein, Yury Yanovich, Alexander Kuleshov |
SS1: ML Algorithms Systems & Applications (3) TULUM SECTION A
Chair: Arif Wani, Moamar Sayed-Mouchaweh
412. Automated Patent Classi-fication Using Word Embedding Mattyws Grawe; Claudia Martins; Andreia Bonfante
413. Anomaly Detection in Multi-variate Non-stationary Time Series for Automatic DBMS Diagnosis Doyup Lee
419. RBF-FIRMLP Architecture for Digit Recognition Cristinel Codrescu
421. Incremental Dynamic Search Solver Ali Hmer; Malek Mouhoub |
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3:00pm – 3:30pm |
Coffee Break |
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3:30pm – 5:00pm |
C3A: Text and Natural Language Processing COBA SALON
Chair: Daqing Hou
361. Learning Antecedent Structures Jing Lu, Vincent Ng
269. Automatic Generation and Recommendation for API Mashups Qinghan Xue,Lei Liu, Weipeng Chen
298. Classification-based Adaptive Web Scraper Ujwal B V S, Bharat Gaind, Abhishek Kundu, Kamalesh Sampath, Anusha Holla, Mukund Rungta
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C3B: Optimization and advanced learning methods UXMAL SALON
Chair: Mehrdad Saif
201. Stochastic Primal-Dual Method on Riemannian Manifolds with Bounded Sectional Curvature Masoud Badiei Khuzani, Na Li
264. Anytime Exploitation of Stragglers in Synchronous Stochastic Gradient Descent Nuwan Ferdinand, Benjamin Gharachorloo, Stark Draper
311. 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
325. Online Structure-Search for Sum-Product Networks Aaron Dennis, Dan Ventura
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SS4: ML in Smart Grid
TULUM SECTION A
Chair: Ramazan Bayindir
197. A Review of Deep Learning Methods Applied on Load Forecasting Abdulaziz Almalaq; George Edwards
374. Mitigating IoT-based Cyberattacks on the Smart Grid Yasin Yilmaz; Suleyman Uludag
414. A Novel Application of Naïve Bayes Classifier in Photovoltaic Energy Prediction RAMAZAN BAYINDIR; Mehmet Yesilbudak; Medine Colak; Naci Genc |
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Evening |
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Wednesday December 20: Main Conference & Special Sessions |
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7:30am – 8:30am |
Breakfast |
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8:30am – 9:45am |
Keynote 2: From Big Data to Big Knowledge: Knowledge Engineering with Big Data TULUM SECTION B+C Dr. Xindong Wu Professor, University of Louisiana at Lafayette (USA) Yangtze River Scholar, Hefei University of Technology (China) Session Chair: Vasile Palade |
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9:45am – 10:00am |
Coffee Break |
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10:00am – 11:00am |
C4A: Machine Learning COBA SALON
Chair: Raja Chiky
178. A Machine Learning Approach to Detecting Sensor Data Modification Intrusions in WBANs Alexander Verner, Dany Butvinik
227. Automatic Algorithm Recognition of Source-Code using Machine Learning Maged Shalaby, Tarek Mehrez, Amr El Mougy, Khalid Abdulnasser, Aysha Alsafty
130. Realistic Traffic Generation for Web Robots Kyle Brown, Derek Doran
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C4B: Neural Networks
UXMAL SALON
Chair: Michael Weeks
252. Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference Bradley McDanel
284. Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning Kangil Kim
140. Recognition of Sound using Masked Conditional Neural Networks Fady Medhat, David Chesmore, John Robinson
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SS5: ML Applications TULUM SECTION A
Chair: Halil Ibrahim Bulbul
200. Aplication of Decision Trees for Detection of Student Dropout Profiles Ricardo S. Timaran-Pereira; Javer Caicedo-Zambrano
379. Student Retention Pattern Prediction Employing Linguistic Features Extracted from Admission Application Essays Mitsunori Ogihara; Gang Ren
388. Component based Archi-tecture 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
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11:00am – 11:30am |
Coffee Break |
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11:30am – 12:30pm |
C5A: Deep Learning II
COBA SALON
Chair: Ming Sun
184. Parametric Exponential Linear Unit for Deep Convolutional Neural Networks Ludovic Trottier, Philippe Giguere, Brahim Chaib-draa
195. Understading Image Restoration Convolutional Neural Networks with Network Inversion Églen Protas, José Bratti, Joel Gaya, Paulo Drews Jr, Silvia Botelho
353. Lecture video indexing using boosted margin maximizing neural networks Di Ma, Xi Zhang, Xu Ouyang, Gady Agam
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C5B: Ensemble methods
UXMAL SALON
Chair: Maggie Wigness
328. Direct multiclass boosting using base classifiers' posterior probabilities estimates Mathias Bourel, Badih Ghattas
375. Classification of Pollen Grain Images Based on an Ensemble of Classifiers David Arias, Marcos Cirne, Josimar Saire, Helio Pedrini
170. 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
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SS5: ML Applications in Education (2) TULUM SECTION A
Chair: Halil Ibrahim Bulbul
390. Classification Of ECG Arrhythmia With Machine Learning Techniques Halil Ibrahim BULBUL; Neşe USTA; Musa YILDIZ
392. Human motion trajectory anal-ysis based video summarization Mudasser Naseer; Ajmal Muhammad ; Farooq Ahmad; Asma Saleem
399. A simple neuro-Heuristic computational intelligence algorithm for thin film flow equation arising in physical models Iftikhar Ahmad; Bushra Mukhtar; Kadir Kutlu; Farooq Ahmad
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12:30pm – 2:00pm |
Lunch |
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2:00pm – 3:30pm |
C6A: Speech and Signal Processing
COBA SALON
Chair: Mitsunori Ogihara
351. Deep Transductive Non-negative Matrix Factorization for Speech Separation Yalin Liu, Naiyang Guan, Jie Liu
173. 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
165. Wearable Motion Sensor Based Analysis of Swing Sports Akash Anand, Manish Sharma, Rupika Srivastava, Divya Prakash, Lakshmi Kaligounder
198. Multiple Kernel Representation Learning for WiFi-based Human Activity Recognition Han Zou, Yuxun Zhou
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C6B: Advanced Classification Methods UXMAL SALON
Chair: Tony Lindgren
238. Multi-label Classification With Weighted Labels Using Learning Classifier Systems Shabnam Nazmi, Mohammad Razeghi-Jahromi, Abdollah Homaifar
383. Integrated Framework for Improving Large-scale Hierarchical Classification Azad Naik, Huzefa Rangwala
282. Stacking Methods for Hierarchical Classification Felipe Nakano, Ricardo Cerri, Saulo Mastelini, Sylvio Barbon
259. NMF-based Label Space Factorization for Multi-label Classification Mohammad Firouzi, Mahmood Karimian, Mahdieh Soleymani
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SS6: ML for Predictive Models in Engineering Applications (1) TULUM SECTION A
Chair: Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
196. Support Vector Regression for Predicting the Enhancement Duration of Software Projects Cuauhtemoc Lopez-Martin; Shadi Banitaan; Andrés García-Floriano; Cornelio Yáñez-Márquez
312. Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN) Nadia Masood Khan; Gul Muhammad Khan
340. Forward Looking Sonar Image Matching using Deep Learning Pedro Otávio Ribeiro; Matheus Santos; Paulo Drews Jr; Silvia Botelho
347. Brace treatment Monitoring Solution for Idiopathic Scoliosis Patients Omar Iftikhar; Omid dehzangi; Bhavani Anantapur Bache; Jeffrey Wensman; Ying Li
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3:30pm – 4:00pm |
Coffee Break |
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3:30pm – 5:00pm |
Poster Session TULUM SECTION B+C
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Evening |
Banquet TULUM SECTION B+C
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Thursday December 21: Main Conference & Special Sessions |
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7:30am – 8:30am |
Breakfast |
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8:30am – 10:00am |
C7A: Machine Learning COBA SALON
Chair: Alexandre Romariz
270. Automatic scoring of a nonword repetition test Meysam Asgari
336. Security of Machine Learning Algorithms in Biometric Authentication Systems Koosha Sadeghi, Ayan Banerjee, Javad Sohankar, Sandeep Gupta
114. Thyme: Improving Smartphone Prompt Timing through Activity Awareness Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane Cook
150. EyeQual: Accurate, Explainable, Retinal Image Quality Assessment Pedro Vendas da Costa, Christos Faloutsos |
SS6: ML for Predictive Models in Engineering Applications (2) UXMAL SALON
Chair: Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
382. Exploring the Impact of Clone Refactoring on Test Code Size in Object-Oriented Software Badri Mourad; Badri Linda; Hachemane Oussama; Ouellet Alexandre
389. Evaluating Non-Personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems Georges Chaaya; Jacques Bou Abdo
391. Railway Incident Ranking with Machine Learning Dmitry Yarotsky
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SS7: ML on Big Data
TULUM SECTION A
Chair: Alfredo Cuzzocrea and Hongliang Ren
314. Novel Trends in Scaling Up Machine Learning Algorithms Noel Lopes
422. MapReduce based Classification for Fault Detection in Big Data Applications Omair Shafiq
425. Learning from Big Data: how to Effectively Manipulate Data Loredana Caruccio; Vincenzo Deufemia; Giuseppe Polese
429. An Unsupervised Learning Method for Supporting Advanced Know-ledge Discovery from Game Data Carson Leung; Alfredo Cuzzocrea
442. Avdanced ECHMM-Based Machine Learning Tools for Complex Applications Enzo Mumolo; alfredo cuzzocrea; Gianni Vercelli |
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10:00am – 10:30am |
Coffee Break |
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10:30am – 12:00 |
C8A: Advanced Learning Methods
COBA SALON
Chair: Diane Cook
257. The Effect of Communication on Noncooperative Multiplayer Multi-Armed Bandit Problems Noyan Evirgen, Alper Kose
133. Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance Karl Weiss, Taghi Khoshgoftaar
175. RobustSPAM for inference from noisy longitudinal data and preservation of privacy Anna Palczewska, Jan Palczewski, Georgios Aivaliotis
369. 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) UXMAL SALON
Chair: Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
395. Predictive Models of Hard Drive Failures based on Operational Data Nicolas Aussel; Samuel Jaulin; Guillaume Gandon; Yohan Petetin; Eriza Fazli; Sophie Chabridon
407. Bayesian networks for inverse inference in manufacturing Avadhut Sardeshmukh; Sreedhar Reddy; B P Gautham; Amol Joshi
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SS8: ML Applications in Psychiatric Research TULUM SECTION A
Chair: Daniel Stahl, Daniel Stamate
416. A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder Elizabeth Stevens; Abigail Atchison; Laura Stevens; Esther Hong; Doreen Granpeesheh; Dennis Dixon; Erik Linstead
436. Predicting Psychosis Using The Experience Sampling Method Andrea Katrinecz; Daniel Stamate; Wajdi Alghamdi; Daniel Stahl; Philippe Delespaul; Jim van Os; Sinan Guloksuz
405. Bayesian Nonparametric Clustering of Patients with Advanced Cancer on Anxiety and Depression Yuelin Li; Barry Rosenfeld; Hayley Pessin; William Breitbart |
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12:00 – 12:15pm |
Closing Remarks |
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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
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, Chris Rozell
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
444 Gain Parameter and Dropout Based Fine Tuning of Deep Networks
M. Arif Wani; Saduf Afzal
447 Semi-Automated Segmentation of Glioblastomas in Brain MRI Using Machine Learning Techniques
Naomi Joseph, Parita Sanghani, Hongliang Ren