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ORCID18th ICMLA 2019: Orlando, FL, USA
- M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem Seliya:
18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019. IEEE 2019, ISBN 978-1-7281-4550-1
Session 1: Machine Learning on Image Processing
- Xinjie Lan, Kenneth E. Barner:
Regularization Learning for Image Recognition. 1-7 - Ki-Seok Chung, Changwoo Lee:
GRAM: Gradient Rescaling Attention Model for Data Uncertainty Estimation in Single Image Super Resolution. 8-13 - Kevin Meng, Yu Meng:
Through-Wall Pose Imaging in Real-Time with a Many-to-Many Encoder/Decoder Paradigm. 14-21 - Sebastian Schrom, Stephan Hasler:
Domain Mixture: An Overlooked Scenario in Domain Adaptation. 22-27 - Gul Rukh Khattak
, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan:
Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints. 28-33
Session 2: Deep Learning Algorithms (I)
- Shubhendu Kumar Singh, Ruoyu Yang, Amir Behjat, Rahul Rai, Souma Chowdhury, Ion Matei:
PI-LSTM: Physics-Infused Long Short-Term Memory Network. 34-41 - Nina Schaaf, Marco F. Huber, Johannes Maucher:
Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. 42-49 - Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu:
Leveraging Semi-Supervised Learning for Fairness using Neural Networks. 50-55 - Fabio Marco Johner, Jürgen Wassner:
Efficient Evolutionary Architecture Search for CNN Optimization on GTSRB. 56-61
Session 3: Temporal and Structural Modeling
- Dan Halbersberg, Boaz Lerner:
Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. 62-68 - Changwei Hu, Yifan Hu, Sungyong Seo:
A Deep Structural Model for Analyzing Correlated Multivariate Time Series. 69-74 - Alexander Fuchs, Robin Priewald, Franz Pernkopf:
Recurrent Dilated DenseNets for a Time-Series Segmentation Task. 75-80 - Piyush Yadav, Dibya Prakash Das, Edward Curry:
State Summarization of Video Streams for Spatiotemporal Query Matching in Complex Event Processing. 81-88 - Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao:
RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data. 89-96
Session 4: Recognition and Detection
- Dimuthu Lakmal, Kumaran Kugathasan, Vishaka Nanayakkara, Suranga Jayasena, Amal Shehan Perera, Lasantha Fernando:
Brown Planthopper Damage Detection using Remote Sensing and Machine Learning. 97-104 - Sunil Bharitkar:
Generative Feature Models and Robustness Analysis for Multimedia Content Classification. 105-110 - Jadisha Yarif Ramírez Cornejo, Hélio Pedrini:
Bimodal Emotion Recognition Based on Audio and Facial Parts Using Deep Convolutional Neural Networks. 111-117
Session 5: Machine Learning on Finance and Marketing
- Tong Sun, Jia Wang, Jing Ni, Yu Cao, Benyuan Liu:
Predicting Futures Market Movement using Deep Neural Networks. 118-125 - Anish Khazane, Jonathan Rider, Max Serpe, Antonia Gogoglou, Keegan E. Hines, C. Bayan Bruss, Richard Serpe:
DeepTrax: Embedding Graphs of Financial Transactions. 126-133 - Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev:
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. 134-139 - Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao:
Risk-Based Dynamic Pricing via Failure Prediction. 140-147
Session 6: Text Analytics
- Nayantara Kotoky, Vijaya V. Saradhi:
Learning to Propose Amendments: Identifying Patterns in the Right to Information Query Log. 148-154 - Sun Sunnie Chung, Michael D'Arcy:
Unsupervised Topic Model Based Text Network Construction for Learning Word Embeddings. 155-161 - Sagnik Sarkar, Maulik Parmar, Sumeet Sandhu:
Entity Set Expansion for Detecting Fashion Trends. 162-167 - Meshal Alfarhood, Jianlin Cheng:
Collaborative Attentive Autoencoder for Scientific Article Recommendation. 168-174
Session 7: Recognition and Detection in Computer Vision
- Michael Stephan, Avik Santra:
Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications. 175-182 - Alexandros Stergiou, Ronald Poppe:
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition. 183-190 - Guilherme Vieira Leite, Gabriel Pellegrino da Silva, Hélio Pedrini:
Fall Detection in Video Sequences Based on a Three-Stream Convolutional Neural Network. 191-195 - Hang Shi, Chengjun Liu:
Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling. 196-201 - Sebastian Zepf, Tobias Stracke, Alexander Schmitt, Florian van de Camp, Jürgen Beyerer:
Towards Real-Time Detection and Mitigation of Driver Frustration using SVM. 202-209
Session 8: Multi-agent and Robotics
- Jia Wang, Jiannong Cao, Milos Stojmenovic, Miao Zhao, Jinlin Chen, Shan Jiang:
Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement Learning. 210-215 - Subramanya Nageshrao, Bruno Costa, Dimitar P. Filev:
Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules. 216-221 - Tianlin Liu, Xihong Wu, Dingsheng Luo:
A Hierarchical Model for StarCraft II Mini-Game. 222-227 - Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz:
Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents. 228-233 - Kevin Corder, Keith Decker:
Shapley Value Approximation with Divisive Clustering. 234-239
Session 9: Supervised Learning Applications
- Ramkumar Harikrishnakumar, Alok Dand, Saideep Nannapaneni, Krishna Krishnan:
Supervised Machine Learning Approach for Effective Supplier Classification. 240-245 - Christopher Harris, Y. Andi Trisyono:
Classifying, Detecting, and Predicting Infestation Patterns of the Brown Planthopper in Rice Paddies. 246-251 - Christina L. Ting, Renee Gooding, Richard V. Field Jr., Jacob Caswell:
Reordering Genomic Sequences for Enhanced Classification via Compression Analytics. 252-258
Main Conference Poster Papers
- Rodrigo da Fonseca Silveira, Maristela Holanda, Márcio de Carvalho Victorino, Marcelo Ladeira:
Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil. 259-262 - Mauricio Barros de Jesus, Gladston Luiz da Silva, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven:
Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability. 263-267 - Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang:
Leveraging Elastic Demand for Forecasting. 268-271 - Duy Hoang Thai, Hau-Tieng Wu, David B. Dunson:
Locally Convex Kernel Mixtures: Bayesian Subspace Learning. 272-275 - Henry Kvinge, Elin Farnell, Jingya Li, Yujia Chen:
Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics. 276-281 - Ricardo Filipe, Filipe Araújo:
Client-Side Monitoring of HTTP Clusters Using Machine Learning Techniques. 282-286 - Jingyi Shen, M. Omair Shafiq:
Learning Mobile Application Usage - A Deep Learning Approach. 287-292 - Finn Kuusisto, Vítor Santos Costa, Zhonggang Hou, James A. Thomson, David Page, Ron M. Stewart:
Machine Learning to Predict Developmental Neurotoxicity with High-Throughput Data from 2D Bio-Engineered Tissues. 293-298 - Meiyan Xie, Yunzhe Xue, Usman Roshan:
Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks. 299-304 - Sabine Apfeld, Alexander Charlish, Gerd Ascheid:
Modelling, Learning and Prediction of Complex Radar Emitter Behaviour. 305-310 - David Haley, Ehsan Kamalinejad, Jiaofei Zhong:
IsoClustering: A Generalized Framework for Local Data Clustering. 311-314 - Shokoufeh Monjezi Kouchak, Ashraf Gaffar:
Using Bidirectional Long Short Term Memory with Attention Layer to Estimate Driver Behavior. 315-320 - Ahmed Lasisi, Mufutau Obanishola Sadiq, Ibrahim Balogun, Abdulfatai Tunde-Lawal, Nii O. Attoh-Okine:
A Boosted Tree Machine Learning Alternative to Predictive Evaluation of Nondestructive Concrete Compressive Strength. 321-324 - Fereshteh Jafariakinabad, Kien A. Hua:
Style-Aware Neural Model with Application in Authorship Attribution. 325-328 - Laura Dörr, Felix Brandt, Anne Meyer, Martin Pouls:
Lean Training Data Generation for Planar Object Detection Models in Unsteady Logistics Contexts. 329-334 - Reinaldo Sanchez-Arias, Roberto Williams Batista:
Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis. 335-340 - Anastasia Gaydashenko, Sangeeta Ramakrishnan:
A Machine Learning Approach to Maximizing Broadband Capacity via Dynamic DOCSIS 3.1 Profile Management. 341-345 - Sunil Bharitkar:
Encoding in Neural Networks. 346-351 - Dominic Henze, Klaidi Gorishti, Bernd Bruegge, Jan-Philipp Simen:
AudioForesight: A Process Model for Audio Predictive Maintenance in Industrial Environments. 352-357 - Felix Wick, Ulrich Kerzel, Michael Feindt:
Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm. 358-363 - Amal AlQahtani, Efsun Sarioglu Kayi, Mona T. Diab:
Understanding Cohesion in Writings and Speech of Schizophrenia Patients. 364-369 - Niklas Karvonen, Joakim Nilsson, Denis Kleyko, Lara Lorna Jiménez:
Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing. 370-375 - Yosef Ashibani, Qusay H. Mahmoud:
Classification and Feature Extraction for User Identification for Smart Home Networks Based on Apps Access History. 376-380 - Karsten Maurer, Walter D. Bennette:
Facility Locations Utility for Uncovering Classifier Overconfidence. 381-386 - Igor Khokhlov, Leon Reznik, Rohit Bhaskar:
The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. 387-391 - Durdane Kocacoban, James Cussens:
Online Causal Structure Learning in the Presence of Latent Variables. 392-395 - Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi:
An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. 396-399 - Manuel Alberto Cordova Neira, Luis G. L. Decker, Jose L. Flores-Campana, Andreza A. dos Santos, Jhonatas S. Conceição, Allan da Silva Pinto, Hélio Pedrini, Ricardo da Silva Torres:
Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text Detection. 400-405 - Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad:
RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. 406-409 - Pritam Sarkar, Vandad Davoodnia, Ali Etemad:
Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. 410-413 - Ken-ichi Fukui, Junya Tanaka, Tomohiko Tomita, Masayuki Numao:
Physics-Guided Neural Network with Model Discrepancy Based on Upper Troposphere Wind Prediction. 414-419 - Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon:
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. 420-425 - Michael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty:
When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. 426-431 - Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli:
Discovering Programmer Intention Behind Written Source Code. 432-437 - Kazem Qazanfari, Abdou Youssef:
Word Embedding by Combining Resources and Integrating Techniques. 438-443 - Macilio da Silva Ferreira, Lucio Flavio Vismari, Paulo Sérgio Cugnasca, Jorge Rady de Almeida Jr., João Batista Camargo Jr., Guilherme Kallemback:
A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems. 444-449 - Yesmina Jaâfra, Aline Deruyver, Jean Luc Laurent, Mohamed Saber Naceur:
Context-Aware Autonomous Driving Using Meta-Reinforcement Learning. 450-455 - Marmar Orooji, Jianhua Chen:
Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques. 456-461 - Cedric Oeldorf, Gerasimos Spanakis:
LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks. 462-468 - Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao:
Explainable Density-Based Approach for Self-Driving Actions Classification. 469-474 - Safura Sharifi, Sofia Brown, Irina Novikova, Eugeniy E. Mikhailov, Georgios Veronis, Jonathan Dowling, Yaser Banadaki, Elisha Siddiqui, Savannah Cuzzo, Narayan Bhusal, Lior Cohen, Austin Kalasky, Nik Prajapati, Rachel Soto-Garcia:
Identifying Laguerre-Gaussian Modes using Convolutional Neural Network. 475-478 - Anirudh Muthukumar, Ramakrishnan Durairajan:
Denoising Internet Delay Measurements using Weak Supervision. 479-484 - Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai:
Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. 485-488 - Kyle A. Caudle, Randy C. Hoover, Aaron Alphonsus, Shashwati Shradha:
Advanced Decision Making and Interpretability through Neural Shrubs. 489-494 - Philip A. Adey, Oliver K. Hamilton, Magnus Bordewich, Toby P. Breckon:
Region Based Anomaly Detection with Real-Time Training and Analysis. 495-499 - Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan:
Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. 500-505 - Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang:
Frosting Weights for Better Continual Training. 506-510 - Revanth Akella, Teng-Sheng Moh:
Mood Classification with Lyrics and ConvNets. 511-514 - Richard V. R. Mariano, Geanderson E. dos Santos, Markos V. de Almeida, Wladmir C. Brandão:
Feature Changes in Source Code for Commit Classification Into Maintenance Activities. 515-518 - Sheng Huang, Zheng Hua Shi:
An Application of Autonomous Learning Multimodel System for Localization in Industrial Warehouse Storage Rack. 519-522 - Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart:
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment. 523-528 - Zilong Jiao, Jae C. Oh:
Asynchronous Multitask Reinforcement Learning with Dropout for Continuous Control. 529-534 - Zilong Jiao, Jae C. Oh:
End-to-End Reinforcement Learning for Multi-agent Continuous Control. 535-540 - Gaddiel Desirena, Armando Diaz, Jalil Desirena, Ismael Moreno, Daniel Garcia:
Maximizing Customer Lifetime Value using Stacked Neural Networks: An Insurance Industry Application. 541-544 - Fei Gao, Jiangjiang Liu:
Face Recognition Using Segmentation Technology. 545-548 - Jose Mijangos, Glenn Bruns:
Assessing Wireless Data Services with Machine Learning and Geostatistics. 549-554 - Alvi Md. Ishmam, Sadia Sharmin:
Hateful Speech Detection in Public Facebook Pages for the Bengali Language. 555-560 - Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed:
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. 561-566
Session 10: Machine Learning Algorithms (I)
- Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene:
Active Learning for Feasible Region Discovery. 567-572 - Ze Jin, David S. Matteson, Tianrong Zhang:
Independent Component Analysis Based on Mutual Dependence Measures. 573-580 - Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser:
Domain-Invariant Regression Under Beer-Lambert's Law. 581-586 - Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in Big Data. 587-594 - Ryoya Yamasaki, Toshiyuki Tanaka:
Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm. 595-601
Session 11: Deep Learning Applications
- Daniel Gutiérrez, Sergio Toral:
Deep Neuronal Based Classifiers for Wireless Multi-hop Network Mobility Models. 602-607 - Girish J. Showkatramani, Nidhi Khatri, Arlene Landicho, Darwin Layog:
Deep Learning Approach to Trademark International Class Identification. 608-612 - Russell Sabir, Daniele Rosato, Sven Hartmann, Clemens Gühmann:
LSTM Based Bearing Fault Diagnosis of Electrical Machines using Motor Current Signal. 613-618 - Shantanu Deshmukh, Philip Heller, Natalia Khuri:
A Long-Short Term Memory Network for Detecting CRISPR Arrays. 619-624
Session 12: Object Detection
- Chang Liu, Xizhe Wang, Jing Ni, Yu Cao, Benyuan Liu:
An Edge Computing Visual System for Vegetable Categorization. 625-632 - Thiago D'Angelo, Marina Mendes, Breno N. S. Keller, Rafael Ferreira, Saul E. Delabrida, Ricardo Augusto Rabelo Oliveira, Héctor Azpúrua, Andrea G. C. Bianchi:
Deep Learning-Based Object Detection for Digital Inspection in the Mining Industry. 633-640 - Khalid N. Ismail, Toby P. Breckon:
On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. 641-646 - Nithesh Singh Sanjay, Ali Ahmadinia:
MobileNet-Tiny: A Deep Neural Network-Based Real-Time Object Detection for Rasberry Pi. 647-652 - Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon:
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection. 653-658
Session 13: Text Mining
- Omid Shahmirzadi, Adam Lugowski, Kenneth Younge:
Text Similarity in Vector Space Models: A Comparative Study. 659-666 - Feng Liu, Liangji Wang, Xiaofeng Zhu, Dingding Wang:
Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning. 667-672 - Swarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula:
Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. 673-679 - Daniel de Souza Costa Pedroso, Marcelo Ladeira, Thiago de Paulo Faleiros:
Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing? 680-685
Session 14: Deep Learning Algorithms (II)
- Chang Song, Zuoguan Wang, Hai Li:
Feedback Learning for Improving the Robustness of Neural Networks. 686-693 - Javier Antorán, Antonio Miguel:
Disentangling and Learning Robust Representations with Natural Clustering. 694-699 - Nadia Burkart, Marco F. Huber, Phillip Faller: