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ORCID17th ICMLA 2018: Orlando, FL, USA
- M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed-Mouchaweh, João Gama, Edwin Lughofer:
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. IEEE 2018, ISBN 978-1-5386-6805-4
Main Conference Full Papers
- Akshay Sharma, Chetan Harithas:
Inner Attention Based bi-LSTMs with Indexing for non-Factoid Question Answering. 1-7 - Adil Al-Azzawi
, Hasanain Al-Sadr, Jianlin Cheng, Tony X. Han:
Localized Deep Norm-CNN Structure for Face Verification. 8-15 - Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James:
Dynamic Analysis of Executables to Detect and Characterize Malware. 16-22 - Mihael Cudic, Harjatin Singh Baweja, Tanvir Parhar, Stephen Nuske:
Prediction of Sorghum Bicolor Genotype from In-Situ Images Using Autoencoder-Identified SNPs. 23-31 - Arunkumar Bagavathi, Abhishek Tripathi, Angelina A. Tzacheva, Zbigniew W. Ras:
Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules. 32-39 - Nicholas Sean Escanilla, Lisa Hellerstein, Ross Kleiman, Zhaobin Kuang, James Shull, David Page:
Recursive Feature Elimination by Sensitivity Testing. 40-47 - Snehasis Mukhopadhyay, Omkar J. Tilak, Subir Chakrabarti:
Reinforcement Learning Algorithms for Uncertain, Dynamic, Zero-Sum Games. 48-54 - Adly Templeton, Jugal Kalita:
Exploring Sentence Vector Spaces through Automatic Summarization. 55-60 - Girish J. Showkatramani, Nidhi Khatri, Arlene Landicho, Darwin Layog:
Trademark Design Code Identification Using Deep Neural Networks. 61-65 - Pietari Pulkkinen, Neetesh Tiwari, Akhil Kumar, Christopher Jones:
A Multi-objective Rule Optimizer with an Application to Risk Management. 66-72 - Guntur Ravindra, Mrityunjay Kumar:
Learning to Fingerprint the Latent Structure in Question Articulation. 73-80 - Koichi Kurumatani:
Time Series Prediction of Agricultural Products Price Based on Time Alignment of Recurrent Neural Networks. 81-88 - Meshal Alfarhood, Jianlin Cheng:
DeepHCF: A Deep Learning Based Hybrid Collaborative Filtering Approach for Recommendation Systems. 89-96 - Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang:
Financial Markets Prediction with Deep Learning. 97-104 - Sena Busra Yengec Tasdemir, Kasim Tasdemir, Zafer Aydin:
ROI Detection in Mammogram Images Using Wavelet-Based Haralick and HOG Features. 105-109 - Xiaoou Monica Zhang, Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald:
Forecasting Residential Energy Consumption: Single Household Perspective. 110-117 - Edward Raff:
Neural Fingerprint Enhancement. 118-124 - Dooseop Choi, Taeg-Hyun An, Kyounghwan Ahn, Jeongdan Choi:
Future Trajectory Prediction via RNN and Maximum Margin Inverse Reinforcement Learning. 125-130 - Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz:
Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders. 131-136 - Dogancan Temel, Jinsol Lee, Ghassan Alregib:
CURE-OR: Challenging Unreal and Real Environments for Object Recognition. 137-144 - Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji:
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data. 145-151 - Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. 152-157 - Matthias Rottmann, Karsten Kahl, Hanno Gottschalk:
Deep Bayesian Active Semi-Supervised Learning. 158-164 - Rama Valisetty, Robert Haynes, Raju Namburu, Michael Lee:
Machine Learning for US Army UAVs Sustainment: Assessing Effect of Sensor Frequency and Placement on Damage Information in the Ultrasound Signals. 165-172 - Sabit Hassan, Shaden Shaar, Bhiksha Raj, Saquib Razak:
Interactive Evaluation of Classifiers Under Limited Resources. 173-180 - Natalia Khuri, Shantanu Deshmukh:
Machine Learning for Classification of Inhibitors of Hepatic Drug Transporters. 181-186 - Nipun Ramakrishnan, Tarun Soni:
Network Traffic Prediction Using Recurrent Neural Networks. 187-193 - Jiho Noh, Ramakanth Kavuluru:
Document Retrieval for Biomedical Question Answering with Neural Sentence Matching. 194-201 - Han Zou, Jianfei Yang, Yuxun Zhou, Costas J. Spanos:
Joint Adversarial Domain Adaptation for Resilient WiFi-Enabled Device-Free Gesture Recognition. 202-207 - Mogens Graf Plessen:
Encoding Motion Primitives for Autonomous Vehicles Using Virtual Velocity Constraints and Neural Network Scheduling. 208-215 - Youngha Hwang, Saul B. Gelfand:
Constrained Sparse Dynamic Time Warping. 216-222 - Ananya Bhattacharjee, Tanmoy Pias, Mahathir Ahmad, Ashikur Rahman:
On the Performance Analysis of APIs Recognizing Emotions from Video Images of Facial Expressions. 223-230 - Christian Poss, Olim Ibragimov, Anoshan Indreswaran, Nils Gutsche, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring:
Application of open Source Deep Neural Networks for Object Detection in Industrial Environments. 231-236 - Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Elastic Time Series Motifs and Discords. 237-242 - Sujay S. Kumar, Tenzin Wangyal, Varun Saboo, Ramamoorthy Srinath:
Time Series Neural Networks for Real Time Sign Language Translation. 243-248 - Juntan Zhang, Feng-Wen Sun, Jie Song, Adam Von Ancken, Richard Zhai:
Fine-Grained Image Classification via Spatial Saliency Extraction. 249-255 - T. S. Jayram, Tomasz Kornuta, Ryan L. McAvoy, Ahmet S. Ozcan:
Using Multi-task and Transfer Learning to Solve Working Memory Tasks. 256-263 - Taehee Jeong, Anubha Mandal:
Flexible Selecting of Style to Content Ratio in Neural Style Transfer. 264-269 - E. G. Radhika, G. Sudha Sadhasivam:
An RNN-LSTM Based Flavor Recommender Framework in Hybrid Cloud. 270-277 - Baram Sosis, Garrett E. Katz, James A. Reggia:
Learning in a Continuous-Valued Attractor Network. 278-284 - Trevor Morris, Tiffany Chien, Eric Goodman:
Convolutional Neural Networks for Automatic Threat Detection in Security X-Ray Images. 285-292 - Haoran Wei, Kevin Corder, Keith Decker:
Q-Learning Acceleration via State-Space Partitioning. 293-298 - Eric Chalmers:
Machine Learning with Certainty: A Requirement for Intelligent Process Automation. 299-304 - Ching-Hua Chuan:
Classifying Eligibility Criteria in Clinical Trials Using Active Deep Learning. 305-310 - Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo:
CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior. 311-317 - Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks. 318-325 - Rewa Sood, Binit Topiwala, Karthik Choutagunta, Rohit Sood, Mirabela Rusu:
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging. 326-331 - Heidi Richburg, Richard J. Povinelli, David Friedland:
Direct-to-Patient Survey for Diagnosis of Benign Paroxysmal Positional Vertigo. 332-337 - Amaury Dubois, Julien Dehos, Fabien Teytaud:
Improving Multi-modal Optimization Restart Strategy Through Multi-armed Bandit. 338-343 - Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu:
Detecting Different Types of Concept Drifts with Ensemble Framework. 344-350 - Alokkumar Jha, Ghanshyam Verma, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay:
Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer. 351-358 - Ali Al Kobaisi, Pawel Wocjan:
Supervised Max Hashing for Similarity Image Retrieval. 359-365 - Farzana Anowar, Samira Sadaoui, Malek Mouhoub:
Auction Fraud Classification Based on Clustering and Sampling Techniques. 366-371 - Esam Ghaleb, Mirela Popa, Enrique Hortal, Stylianos Asteriadis, Gerhard Weiss:
Towards Affect Recognition through Interactions with Learning Materials. 372-379 - Pedro Henriquer Barbosa Monforte, Gabriel Matos Araujo, Amaro Azevedo de Lima:
Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection. 380-385 - Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna:
Graph Neural Networks for IceCube Signal Classification. 386-391 - Myeongseob Ko, Donghyun Kim, Kwangtaek Kim:
GAN-Based Super Resolution for Accurate 3D Surface Reconstruction from Light Field Skin Images Towards Haptic Palpation. 392-397 - Francois P. S. Luus, Ismail Akhalwaya, Naweed Khan:
Cognitive-Assisted Interactive Labeling of Skin Lesions and Blood Cells. 398-405 - Corinna Kofler, Robert Muhr, Gunter Spöck:
Detecting Star Cracks in Topography Images of Specular Back Surfaces of Structured Wafers. 406-412 - Manal Almutairi, Frederic T. Stahl, Max Bramer:
A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes. 413-420 - Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung:
Using Discriminative Graphical Models for Insurance Recommender Systems. 421-428 - Cecília Nunes, Mathieu De Craene, Hélène Langet, Oscar Camara, Anders Jonsson:
A Monte Carlo Tree Search Approach to Learning Decision Trees. 429-435 - Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto:
An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction. 436-442 - Xuanlin Liu, Mingzhe Chen, Changchuan Yin, Walid Saad:
Analysis of Memory Capacity for Deep Echo State Networks. 443-448 - Brendon Boldt, Zack While, Eric Breimer:
Detecting Compromised Implicit Association Test Results Using Supervised Learning. 449-453 - Giovanni G. Giacomo, Matheus Machado dos Santos, Paulo Drews Jr., Silvia S. C. Botelho:
Sonar-to-Satellite Translation using Deep Learning. 454-459 - Qinyun Zhu, Jae C. Oh:
Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation. 460-466 - Yi-Wei Chen, Yi-Hsuan Yang, Homer H. Chen:
Cross-Cultural Music Emotion Recognition by Adversarial Discriminative Domain Adaptation. 467-472 - Darwin Ttito Concha, Helena de Almeida Maia, Hélio Pedrini, Hemerson Tacon, André de Souza Brito, Hugo de Lima Chaves, Marcelo Bernardes Vieira:
Multi-stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms. 473-480 - Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio J. C. Campilho:
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. 481-488 - Oluwatobi Olabiyi, Anish Khazane, Erik T. Mueller:
A Persona-Based Multi-turn Conversation Model in an Adversarial Learning Framework. 489-494 - David Wilson, Sean Passmore, Yufei Tang, James H. VanZwieten:
Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines. 495-500 - Jacob Rafati, Roummel F. Marcia:
Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. 501-508 - Dan Feng, Pedro Sequeira, Elín Carstensdóttir, Magy Seif El-Nasr, Stacy Marsella:
Learning Generative Models of Social Interactions with Humans-in-the-Loop. 509-516 - Shuqiang Wang, Hongfei Wang, Yanyan Shen, Xiangyu Wang:
Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks. 517-523 - Pedro O. C. S. Ribeiro, Matheus Machado dos Santos, Paulo Lilles Jorge Drews Junior, Silvia S. C. Botelho, Lucas M. Longaray, Giovanni G. Giacomo, Marcelo R. Pias:
Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval. 524-529 - Yuehan Yin, Chunghao Juan, Joyram Chakraborty, Michael P. McGuire:
Classification of Eye Tracking Data Using a Convolutional Neural Network. 530-535 - Ibrahim Alkanhal, B. V. K. Vijaya Kumar, Marios Savvides:
Automatic Seizure Detection via an Optimized Image-Based Deep Feature Learning. 536-540 - Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed:
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. 541-546 - Julian Richard Medina, Jugal Kalita:
Parallel Attention Mechanisms in Neural Machine Translation. 547-552 - Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman:
A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds. 553-557 - Muhammad Azam, Nizar Bouguila:
Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. 558-563 - Steven So, Prinkle Sharma, Jonathan Petit:
Integrating Plausibility Checks and Machine Learning for Misbehavior Detection in VANET. 564-571 - Jingyi Shen, M. Omair Shafiq:
Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach. 572-577 - Kyle A. Caudle, Randy C. Hoover, Karen S. Braman:
Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition. 578-584 - El Moatasem Madani, Marwan Torki:
Interactive Image Segmentation Using Multimodal Regularized Kernel Embedding. 585-590 - Giang Dao, Indrajeet Mishra, Minwoo Lee:
Deep Reinforcement Learning Monitor for Snapshot Recording. 591-598 - Luiza Antonie, Jérémy Foxcroft, Gary Gréwal, Nirmal Narayanan, Miana Plesca, Rosina Ramirez:
Bias Evaluation of Professors' Reviews. 599-606 - Perikumar Javia, Aman Rana, Nathan Shapiro, Pratik Shah:
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-septic Patients. 607-611 - Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin:
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. 612-617 - Manuel Sebastian Rios Beltran, Camilo Andres Gamarra Torroledo, Carlos Andres Quintero Peña, Carlos Saith Rodriguez Rojas:
Design and Implementation of an Automatic Object Recognition System Using Deep Learning and an Array of One-Class SVMs. 618-623 - Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov:
Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. 624-628 - Joel Goodman, Kevin S. Lorenz, Crystal Acost, George Stantchev:
Balanced Multi-window Inference. 629-634 - Alireza Abdoli, Amy C. Murillo, Chin-Chia Michael Yeh, Alec C. Gerry, Eamonn J. Keogh:
Time Series Classification to Improve Poultry Welfare. 635-642 - Orhan Akal, Tathagata Mukherjee, Adrian Barbu, Jared Devin Paquet, Kevin George, Eduardo L. Pasiliao:
A Distributed Sensing Approach for Single Platform Image-Based Localization. 643-649 - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
Improving Neural Sequence Labelling Using Additional Linguistic Information. 650-657 - Sindhu Ghanta, Sriram Subramanian, Swaminathan Sundararaman, Lior Khermosh, Vinay Sridhar, Dulcardo Arteaga, Qianmei Luo, Dhananjoy Das, Nisha Talagala:
Interpretability and Reproducability in Production Machine Learning Applications. 658-664 - Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton:
Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. 665-670 - Daniel Stamate, Wajdi Alghamdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh:
A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. 671-678 - Franklin Abodo, Robert Rittmuller, Brian Sumner, Andrew Berthaume:
Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision. 679-686 - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation. 687-694 - William Born, Christopher J. Lowrance:
Smoother Robot Control from Convolutional Neural Networks Using Fuzzy Logic. 695-700 - Abdullah Sheneamer:
CCDLC Detection Framework-Combining Clustering with Deep Learning Classification for Semantic Clones. 701-706 - Rua Alsuroji, Nuha Zamzami, Nizar Bouguila:
Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model. 707-713 - Colin Stephen:
Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification. 714-721 - Hao-Min Liu, Yi-Hsuan Yang:
Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network. 722-727 - Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu:
An Attention-Based Air Quality Forecasting Method. 728-733 - Babafemi O. Odelowo, David V. Anderson:
Canonical ELM: Improving the Performance of Extreme Learning Machines on Multivariate Regression Tasks Using Canonical Correlations. 734-740
Main Conference Short Papers
- Soumitra Samanta, Franklin Chang:
Modelling Human Understanding of Thematic Roles with Motion Heuristics. 741-744 - Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Iyad Obeid, Joseph Picone:
Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. 745-750 - Aubrey ONeal, Benjamin Rodgers, Justin Segler, Dhiraj Murthy, Nandhini Lakuduva, Matthew Johnson, Keri K. Stephens:
Training an Emergency-Response Image Classifier on Signal Data. 751-756 - Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley:
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. 757-762 - Carlos V. Paradis, Rick Kazman, Ping Wang:
Indexing Text Related to Software Vulnerabilities in Noisy Communities Through Topic Modelling. 763-768 - Pradeep Rengaswamy, K. Sreenivasa Rao:
Modifying LSTM Posteriors with Manner of Articulation Knowledge to Improve Speech Recognition Performance. 769-772 - Jen-Yu Liu, Yi-Hsuan Yang:
Denoising Auto-Encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation. 773-778 - Gustavo Betarte, Eduardo Giménez, Rodrigo Martínez, Álvaro Pardo:
Improving Web Application Firewalls through Anomaly Detection. 779-784 - Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin:
An Empirical Study on Class Rarity in Big Data. 785-790 - Ruba AlOmari, Miguel Vargas Martin:
Classification of EEG Signals Using Neural Networks to Predict Password Memorability. 791-796 - Wen Ma, Minghai Qin, Won Ho Choi, Pi-Feng Chiu, Martin Lueker-Boden:
Improving Noise Tolerance of Hardware Accelerated Artificial Neural Networks. 797-801 - Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu:
Worker Filtering with Limited Supervision in Crowdsourcing Systems. 802-807 - Hasham Shahid Qureshi, Tobias Glasmachers, Rebecca Wiczorek:
User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning. 808-813 - Anusha Sridharan, Melody Moh, Teng-Sheng Moh:
Similarity Estimation for Classical Indian Music. 814-819 - Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern:
A Comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data. 820-823 - Leonardo Lopez, Michael Guynn, Meiliu Lu:
Predicting Computer Performance Based on Hardware Configuration Using Multiple Neural Networks. 824-827 - Aman Rana, Gregory Yauney, Alarice Lowe, Pratik Shah:
Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks. 828-834 - Malak Abdullah, Mirsad Hadzikadic, Samira Shaikh:
SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning. 835-840 - Shuai Zhao, Manoop Talasila, Guy Jacobson, Cristian Borcea, Syed Anwar Aftab, John F. Murray:
Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform. 841-846 - Lidea Shahidi, Leslie M. Collins, Boyla Mainsah:
Application of a Graphical Model to Investigate the Utility of Cross-Channel Information for Mitigating Reverberation in Cochlear Implants. 847-852 - Mehdi Assefi, Ali Hooshmand, Hossein Hosseini, Ratnesh Sharma:
Battery Degradation Temporal Modeling Using LSTM Networks. 853-858 - Bogdan I. Vlahov, Eric Squires, Laura G. Strickland, Charles Pippin:
On Developing a UAV Pursuit-Evasion Policy Using Reinforcement Learning. 859-864 - Qinghan Xue, Xiaoran Wang, Samuel Meehan, Jilong Kuang, Jun Alex Gao, Mooi Choo Chuah:
Recurrent Neural Networks Based Obesity Status Prediction Using Activity Data. 865-870 - Kunlin Yang:
A Memory-Enhanced Framework for Financial Fraud Detection. 871-874 - Mai Ibrahim, Marwan Torki, Nagwa M. El-Makky:
Imbalanced Toxic Comments Classification Using Data Augmentation and Deep Learning. 875-878 - Mike Brodie, Chris Tensmeyer, Wes Ackerman, Tony R. Martinez:
Alpha Model Domination in Multiple Choice Learning. 879-884 - Cheolhui Hong, Tae-Eog Lee:
Multi-agent Reinforcement Learning Approach for Scheduling Cluster Tools with Condition Based Chamber Cleaning Operations. 885-890 - Sheng Cao, Shucheng Wang, Yan Zhang:
Density-Based Fuzzy C-Means Multi-center Re-clustering Radar Signal Sorting Algorithm. 891-896 - Eric Golinko, Thomas Sonderman, Xingquan Zhu:
Learning Convolutional Neural Networks from Ordered Features of Generic Data. 897-900 - Sheng Cao, Shucheng Wang, Yan Zhang:
Design of River Water Quality Assessment and Prediction Algorithm. 901-906 - Zeyad Hailat, Xue-wen Chen:
Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. 907-912 - Bingyu Wang, Cheng Li, Virgil Pavlu, Jay Aslam:
A Pipeline for Optimizing F1-Measure in Multi-label Text Classification. 913-918 - Sajawel Ahmed, Alexander Mehler:
Resource-Size Matters: Improving Neural Named Entity Recognition with Optimized Large Corpora. 919-924 - Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka:
Online Orthogonal Regression Based on a Regularized Squared Loss. 925-930 - Leonardo Alfredo Mendoza, Evelyn Batista, Harold Dias de Mello, Marco Aurélio Pacheco:
Multiagent Coordination Systems Based on Neuro-Fuzzy Models with Reinforcement Learning. 931-937 - Masoud Badiei Khuzani:
Distributed Primal-Dual Proximal Method for Regularized Empirical Risk Minimization. 938-945 - Robert LeMoyne, Timothy Mastroianni:
Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network. 946-950 - Mubarak G. Abdu-Aguye, Walid Gomaa:
Novel Approaches to Activity Recognition Based on Vector Autoregression and Wavelet Transforms. 951-954 - Xiaowen Ying, Xin Li, Mooi Choo Chuah:
LiveFace: A Multi-task CNN for Fast Face-Authentication. 955-960 - Giruba Beulah Se, Abhijeet Singhai, Rashmi Ranjan Parida:
Realtime Email Delivery Failure Prediction Using the One-vs-All Classifier. 961-964 - Ajkel Mino, Gerasimos Spanakis:
LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on Color. 965-970 - Fahimeh Farahnakian, Mohammad Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen:
Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment. 971-976 - Fei Wang, Jiangeng Li, Yiwei Wang, Weijie Bao, Zhixuan Er, Xiaoyi Wang, Keyan Ren, Zhihai Wang:
Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network. 977-982 - Naoki Kodama, Kazuteru Miyazaki, Taku Harada:
A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning. 983-988 - Tonmoay Deb, Aziz Arman, Adnan Firoze:
Machine Cognition of Violence in Videos Using Novel Outlier-Resistant VLAD. 989-994 - Nasser Alsaedi, Steve Carr, Alvis Cheuk M. Fong:
Applying Supervised Learning to the Static Prediction of Locality-Pattern Complexity in Scientific Code. 995-1000 - Vishwas G. Torvi, Aditya R. Bhattacharya, Shayok Chakraborty:
Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. 1001-1006
Special Session: Machine Learning for Complex Data Mining Applications
- Florian Van Daalen, Evgueni N. Smirnov, Nasser Davarzani, Ralf Peeters, Joël M. H. Karel, Hans-Peter Brunner-La Rocca:
An Ensemble Approach to Time Dependent Classification. 1007-1011 - Debanjana Banerjee, Gyan Prabhat, Riyanka Bhowal:
iCASSTLE : Imbalanced Classification Algorithm for Semi Supervised Text Learning. 1012-1016 - Mojtaba Zare, Janusz Wojtusiak:
Weighted Itemsets Error (WIE) Approach for Evaluating Generated Synthetic Patient Data. 1017-1022 - Lei Wang, Jie Zhu:
A Joint Speech Enhancement Algorithm Based on the Tri-Microphone. 1023-1028 - Haodi Jiang, Turki Turki, Jason T. L. Wang:
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. 1029-1033
Special Session: Machine Learning in Big Data and Information Security Issues
- Johannes V. Lochter, Renato Moraes Silva, Tiago A. Almeida, Akebo Yamakami:
Semantic Indexing-Based Data Augmentation for Filtering Undesired Short Text Messages. 1034-1039 - Monowar H. Bhuyan, Erik Elmroth:
Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric. 1040-1047 - Sven Nomm, Hayretdin Bahsi:
Unsupervised Anomaly Based Botnet Detection in IoT Networks. 1048-1053 - Khandaker Abir Rahman, Dustyn James Tubbs, Md. Shafaeat Hossain:
Movement Pattern Based Authentication for Smart Mobile Devices. 1054-1058 - Piyush Sharma, Adrienne Raglin:
Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. 1059-1064 - Gustavo Betarte, Álvaro Pardo, Rodrigo Martínez:
Web Application Attacks Detection Using Machine Learning Techniques. 1065-1072 - Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Chitanshu Chauhan, Vanaja Mamidi, Surbhi Rautji:
Cognitive Secure Shield - A Machine Learning Enabled Threat Shield for Resource Constrained IoT Devices. 1073-1080
Special Session: Machine Learning in Smart Grids
- T. Aruldoss Albert Victoire, Gobu B, Jaikumar S, Arulmozhi Nagarajan, Kanimozhi P, Amalraj Victoire T:
Two-Stage Machine Learning Framework for Simultaneous Forecasting of Price-Load in the Smart Grid. 1081-1086
Special Session: Machine Learning Algorithms, Systems and Applications
- Shun Takeuchi, Takahiro Saito:
Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection. 1087-1094 - Piyush Sharma, Adrienne Raglin:
Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. 1095-1102 - Rania Almajalid, Juan Shan, Yaodong Du, Ming Zhang:
Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation. 1103-1108 - Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. 1109-1114 - Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Daniele Foroni, Goetz Brasche:
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams. 1115-1122 - Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson:
A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. 1123-1130 - Basim Alghabashi, Nizar Bouguila:
Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML. 1131-1138 - Peerasak Wangsom, Pascal Bouvry, Kittichai Lavangnananda:
Extreme Solutions NSGA-III (E-NSGA-III) for Scientific Workflow Scheduling on Cloud. 1139-1146 - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai:
Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow. 1147-1154 - Andres Morocho-Caiza, Jesus Rodriguez-Flores, Jorge Hernandez-Ambato:
Neural Adaptive Controller Applied to a VTOL Plant Using Takagi-Sugeno Fuzzy Model. 1155-1160 - Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne E. James:
Detailed Identification of Fingerprints Using Convolutional Neural Networks. 1161-1165 - Sai K. R. Nittala, Colin P. Elkin, Jay M. Kiker, Robert Meyer, James Curro, Ali K. Reiter, Kevin S. Xu, Vijay K. Devabhaktuni:
Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. 1166-1173 - Jiangning Chen, Heinrich Matzinger, Haoyan Zhai, Mi Zhou:
Centroid Estimation Based on Symmetric KL Divergence for Multinomial Text Classification Problem. 1174-1177 - Olaoluwa Adigun, Bart Kosko:
Training Generative Adversarial Networks with Bidirectional Backpropagation. 1178-1185 - Ahmed M. Abdelhameed, Magdy A. Bayoumi:
Semi-Supervised Deep Learning System for Epileptic Seizures Onset Prediction. 1186-1191 - M. Arif Wani, Heena Farooq Bhat, Tariq Rashid Jan:
Position Specific Scoring Matrix and Synergistic Multiclass SVM for Identification of Genes. 1192-1196
Short Papers
- Mehdi Ghayoumi, Miguel Gomez, Kate E. Baumstein, Narindra Persaud, Andrew J. Perlowin:
Local Sensitive Hashing (LSH) and Convolutional Neural Networks (CNNs) for Object Recognition. 1197-1199 - Jean-François Rajotte, Martin Sotir, Cedric Noiseux, Louis-Philippe Noel, Thomas Bertiere:
Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring. 1200-1204 - Shuai Fu, Nizar Bouguila:
Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization. 1205-1208 - Benyamin Ahmadnia, Parisa Kordjamshidi, Gholamreza Haffari:
Neural Machine Translation Advised by Statistical Machine Translation: The Case of Farsi-Spanish Bilingually Low-Resource Scenario. 1209-1213 - Meng Rao, Ming Jian Zuo:
A New Strategy for Rotating Machinery Fault Diagnosis Under Varying Speed Conditions Based on Deep Neural Networks and Order Tracking. 1214-1218 - Linlin Cui, Jianhua Chen, Wentao Wu:
Predicting Secondary Equity Offerings (SEOs) Using Machine Learning. 1219-1224 - Sohini Roychowdhury, L. Srikar Muppirisetty:
Fast Proposals for Image and Video Annotation Using Modified Echo State Networks. 1225-1230 - Kevin Meng, Cheng Shi, Yu Meng:
Vehicle Action Prediction Using Artificial Intelligence. 1231-1236 - Matthias Haselmann, Dieter Paul Gruber, Paul Tabatabai:
Anomaly Detection Using Deep Learning Based Image Completion. 1237-1242 - Md Faisal Kabir, Simone A. Ludwig:
Classification of Breast Cancer Risk Factors Using Several Resampling Approaches. 1243-1248 - Mitsunori Ogihara, Daniel Galarraga, Gang Ren, Tiago Fernandes Tavares:
The Semantic Shapes of Popular Music Lyrics: Graph-Based Representation, Analysis, and Interpretation of Popular Music Lyrics in Semantic Natural Language Embedding Space. 1249-1254
Special Session on Machine Learning in Energy Application
- S. N. Deepa, Arulmozhi Nagarajan, Gobu B, Kanimozhi P, Jaikumar S, Aruldoss Albert Victoire Tangaradjou:
Adaptive Regularized ELM and Improved VMD Method for Multi-step ahead Electricity Price Forecasting. 1255-1260 - Pierre Dagnely, Tom Tourwé, Elena Tsiporkova:
Annotating the Performance of Industrial Assets via Relevancy Estimation of Event Logs. 1261-1268 - Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu:
Virtual Battery Parameter Identification Using Transfer Learning Based Stacked Autoencoder. 1269-1274 - João Pereira, Margarida Silveira:
Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention. 1275-1282 - Yixuan Sun, Xiaoyuan Fan, Qiuhua Huang, Xinya Li, Renke Huang, Tianzhixi Yin, Guang Lin:
Local Feature Sufficiency Exploration for Predicting Security-Constrained Generation Dispatch in Multi-area Power Systems. 1283-1289 - Vishali Vadakattu, Shan Suthaharan:
Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification. 1290-1295
Shan Suthaharan (University of North Carolina at Greensboro)
- Yan Gao, Alan Schay, Daqing Hou:
Occupancy Detection in Smart Housing Using Both Aggregated and Appliance-Specific Power Consumption Data. 1296-1303 - Zeineb Hammami, Moamar Sayed-Mouchaweh, Wiem Mouelhi, Lamjed Ben Said:
Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources. 1304-1309
Special Session: Machine Learning Applications in Education
- Sikandar Ali, Aslam Muhammad, Noman Jazeb, Ana María Martínez Enríquez, Farooq Ahmad:
Multiagent Based System for Secondary Education Using Machine Learning. 1310-1315 - Hao-Hsuan Hsu, Nen-Fu Huang:
Xiao-Shih: The Educational Intelligent Question Answering Bot on Chinese-Based MOOCs. 1316-1321 - Deepa Subramaniam Nachimuthu, Selvam Govindaraj, Anand Tirupur Shanmuganathan:
Fuzzy Echo State Neural Network with Differential Evolution Framework for Time Series Forecasting. 1322-1327 - Muhammad Ajmal, Farooq Ahmad, Ana María Martínez Enríquez, Mudasser Naseer, Aslam Muhammad, Mohsin Ashraf:
Image to Multilingual Text Conversion for Literacy Education. 1328-1332 - Huseyin Seckin Dykbayir, Halil-Ibrahim Bülbül:
Estimating the Effect of Structural Damage on the Flight by Using Machine Learning. 1333-1337 - Ion Freeman, Ashley Haigler, Suzanna Schmeelk, Lisa Ellrodt, Tonya Fields:
What are they Researching? Examining Industry-Based Doctoral Dissertation Research through the Lens of Machine Learning. 1338-1340
Special Session on Machine Learning Applications in Psychiatry
- Parisa Forouzannezhad, Alireza Abbaspour, Chunfei Li, Mercedes Cabrerizo, Malek Adjouadi:
A Deep Neural Network Approach for Early Diagnosis of Mild Cognitive Impairment Using Multiple Features. 1341-1346 - Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba:
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. 1347-1352 - Solale Tabarestani, Maryamossadat Aghili, Mehdi Shojaie, Christian Freytes, Malek Adjouadi:
Profile-Specific Regression Model for Progression Prediction of Alzheimer's Disease Using Longitudinal Data. 1353-1357 - Lei Zhang:
Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction. 1358-1365 - Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Erik Linstead:
Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. 1366-1370
Special Session: Machine Learning for Predictive Models in Engineering Applications
- Omneya Attallah, Heba Gadelkarim, Maha A. Sharkas:
Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques. 1371-1376 - Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. 1377-1382 - Abbas Golestani, Mikhil Masli, N. Sadat Shami, Jennifer Jones, Abhilash Menon, Joydeep Mondal:
Real-Time Prediction of Employee Engagement Using Social Media and Text Mining. 1383-1387 - Chayma Sellami, Ahmed Samet, Mohamed Anis Bach Tobji:
Frequent Chronicle Mining: Application on Predictive Maintenance. 1388-1393 - Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
A Comparison of ARIMA and LSTM in Forecasting Time Series. 1394-1401 - Shantanu Deshmukh, Teng-Sheng Moh:
Fine Object Detection in Automated Solar Panel Layout Generation. 1402-1407 - Michael Keyes, Joanna Bieniek, Allison Richey, Raed I. Seetan:
Acute Kidney Injury: Predicting 30-Day Readmissions. 1408-1412 - Devleena Das, Katelyn E. Fry, Ayanna M. Howard:
Vision-Based Detection of Simultaneous Kicking for Identifying Movement Characteristics of Infants At-Risk for Neuro-Disorders. 1413-1418 - Davi Alberto Sala, Azarakhsh Jalalvand, Andy Van Yperen-De Deyne, Erik Mannens:
Multivariate Time Series for Data-Driven Endpoint Prediction in the Basic Oxygen Furnace. 1419-1426 - Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín:
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. 1427-1431 - Milan Koch, Thomas Bäck:
Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash. 1432-1437 - Xin Ye, Fan Fang, John Wu, Razvan C. Bunescu, Chang Liu:
Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating. 1438-1445 - Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown:
Analysis of Railway Accidents' Narratives Using Deep Learning. 1446-1453 - Brandon Thompson, Karim O. Elish, Robert Steele:
Machine Learning-Based Prediction of Prolonged Length of Stay in Newborns. 1454-1459 - Ben Alexander, Gabriel Nallathambi, Nandakumar Selvaraj:
Screening of Heart Sounds Using Hidden Markov and Gammatone Filterbank Models. 1460-1465
Special Session: Machine Learning on Big Data
- Firuz Kamalov:
Sensitivity Analysis for Feature Selection. 1466-1470 - Ali Alwehaibi, Kaushik Roy:
Comparison of Pre-Trained Word Vectors for Arabic Text Classification Using Deep Learning Approach. 1471-1474 - Rakhee Sharma, Ngoc Le Tan, Fatiha Sadat:
Multimodal Sentiment Analysis Using Deep Learning. 1475-1478 - Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea:
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. 1479-1485 - Kyle J. Morris, Sean D. Egan, Jorell L. Linsangan, Carson K. Leung, Alfredo Cuzzocrea, Calvin S. H. Hoi:
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data. 1486-1491
ICMLA Challenge: Parts-Based Decomposition of Noisy Data
- Daming Lu:
Use Online Dictionary Learning to Get Parts-Based Decomposition of Noisy Data. 1492-1494
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