Program at a glance (IEEE ai4i and IEEE AIKE 2018)

September 26 (Wednesday)

Place

Time

Crystal Ballroom

Platinum Room

Crystal 3

07:30-17:00

Registration

07:30-08:20

08:40-09:00

Opening Ceremony

09:00-09:50

Keynote I – AIKE

Nik Bourbakis

09:50-10:10

 Coffee Break

10:10-11:00

Keynote II – ai4i

David Newman

11:10-12:00

Keynote III – AIKE

Bhavani Thuraisingham

12:00-13:00

Lunch (on your own)

13:00-14:50

AIKE(1) – Machine Learning

(1+2 papers)

ai4i(1)

(4 papers - best)

14:50-15:10

Coffee Break

15:10-16:50

AIKE(2) – Deep Learning

(1+1 papers)

ai4i(2)

(5 papers)

AIKE Workshops (AI3D - 4 papers)

16:50-18:05

AIKE(3) – Best AIKE18  Papers

(3 papers)

ai4i(3)

(4 papers)

18:05-19:00

ai4i planning session

19:30-21:30

Reception

September 27 (Thursday)

Place

Time

Crystal Ballroom

Platinum Room

Crystal 3

07:30-17:00

Registration

07:30-08:30

08:30-09:20

Keynote IV – AIKE

Carlo Zaniolo

09:30 -10:20

Keynote V – ai4i

Nestor Rychtyckyj

10:20-10:40

Coffee Break

10:40 - 11:30

Keynote VI – AIKE

Sang-goo Lee

11:40 – 12:30

Keynote VII – AIKE

Ophir Frieder

12:30-13:30

Lunch (on your own)

13:30-15:20

AIKE(4) – Knowledge Graph Representations and Search

(2+4 papers)

Tutorials – ai4i

AIKE Workshops (ABC - 6 papers)

15:20-15:30

Coffee Break

15:30-16:30

AIKE(5) – Ensemble Learning

(3 papers)

Tutorials – ai4i

AIKE Workshops (ABC - 4 papers)

16:30-16:40

Intermission

16:40-18:00

AIKE(6) – Poster Session

(5 poster papers)

Tutorials – ai4i

AIKE Workshops (IDP - 5 papers)

18:00-19:00

AIKE planning session

19:30-21:30

Banquet

Keynote: Raymond Yeh

September 28 (Friday)

Place

Time

Crystal Ballroom

Platinum Room

Crystal 3

07:30-17:00

Registration

07:30-09:00

09:00-09:50

Keynote VIII - ai4i

Ravi Iyer

09:50-10:10

Coffee Break

10:10-11:00

Keynote IX – AIKE

Paul Conoval

11:10 – 12:00

AIKE distinguished tutorial

Oscar Garcia

12:00-13:00

Lunch (on your own)

13:00-15:00

AIKE(7) – AI methods for Sentiment and social Analysis

(3+2 papers)

ai4i(4)

(4 papers)

ai4i(5)

(4 papers)

15:00-15:20

Coffee Break

15:20-17:20

AIKE(8) – Innovative Approaches in AI and KE

(1+4 short papers)

ai4i(6)

(4 papers)

ai4i(7)

(4 papers)

Detailed Sessions (IEEE ai4i 2018)

Session

Title

ai4i(1) – Best Paper Session

Session Chair:

Tong  Zhang

Nikhil Nigam, Sanjay Lall, Pedram Hovareshti, Kristopher Ezra, Linas Mockus, Devendra Tolani and Shawn Sloan. Sufficient Statistics for Optimal Decentralized Control in System of Systems

Guangzhi Qu. Genetic Algorithm based Parallelization Planning for Legacy Real-Time Embedded Programs

Jonas Stricker, Benno Koeppl, Andi Buzo, Jerome Kirscher, Linus Maurer and Georg Pelz. Efficient simulative Pass/Fail Characterization applied to automotive Power Steering

Athanasios I. Kyritsis, Geoffrey Willems, Michel Deriaz and Dimitri Konstantas. Gait Recognition with Smart Devices Assisting Postoperative Rehabilitation in a Clinical Setting

ai4i(2) – Data Fusion, Data Compression and Algorithms

Session Chair:

Nikhil  Nigam

Jun Jo, Yong Oh Lee and Jongwoon Hwang. Multi-layer Nested Scatter Plot: A data wrangling method for correlated multi-channel time series signals

Brian Beaton. The Moat Effects of Data Swamps

Marcio Moreno, Rodrigo C. M. Santos, Reinaldo Mozart, Wallas H. S. Dos Santos and Renato Cerqueira. Assisting Seismic Image Interpretations through Hyperknowledge

Yu-Wei Wen and Chuan-Kang Ting. Designing Facility Layouts with Hard and Soft Constraints by Evolutionary Algorithm

Jake Fitzsimmons and Pablo Moscato. Symbolic Regression Modeling of Drug Responses

ai4i(3) – Machine Learning

Session Chair:

Xinyuan Huang

Zhu Zhou and Tong Zhang. Applying Machine Learning to Service Assurance in Network Function Virtualization Environment

James Obert and Tom Mannos. Semi-Supervised Learning and ASIC Path Verification

Xinyuan Huang, Amit Saha, Debojyoti Dutta and Ce Gao. Kubebench: A Benchmarking Platform for ML Workloads

Debojyoti Dutta, Amit Saha, Johnu George, Xinyuan Huang, Ramdoot Pydipaty, Purushotham Kamath and Lew Tucker. Towards #consistentAI

ai4i(4) – Frameworks and   Predictions 

Session Chair:

Aleksander Slominski  

Ayhan Demiriz. Used Car Pricing and Beyond: A Survival Analysis Framework

Rua Alsuroji, Nizar Bouguila and Nuha Zamzami. Predicting defect-prone software modules using shifted-scaled Dirichlet distribution

Nuha Zamzami and Nizar Bouguila. Consumption Behavior Prediction using Hierarchical Bayesian Frameworks

Daniela D'Auria and Fabio Persia. Design of a Framework allowing Researchers to Optimize their Academic Evaluation

ai4i(5) – Cyber Physical Systems 

Session Chair:

Stephan Matzka

Manuel Roveri, Dario Cogliati, Mirko Falchetto, Danilo Pau and Gabriele Viscardi. Intelligent Cyber-Physical Systems for Industry 4.0

Jérôme Mendes, Ricardo Maia, Rui Araújo and Gonçalo Gouveia. Intelligent Controller for Industrial Processes Applied to a Distributed Two-Tank System

Liu Chia-Ruei, Chen Po-Wei, Yang Chao-Chun and Duan Li-Hua. Monitoring Machine Tool Based On External Physical Characteristics Of The Machine Tool Using Machine Learning Algorithm

Florian Jaensch, Akos Csiszar, Annika Kienzlen and Alexander Verl. Reinforcement Learning of Material Flow Control Logic using Hardware-in-the-Loop simulation

ai4i(6) – Artificial Intelligence

Session Chair:

Fabio Persia

Louis Rosenberg, David Askay, Lynn Metcalf, Erick Harris and Gregg Willcox. Amplifying the Social Intelligence of Teams Through Human Swarming

Vinod Muthusamy, Aleksander Slominski and Vatche Ishakian. Towards enterprise-ready artificial intelligence deployments

Stephan Matzka. Using Process Quality Prediction to increase Resource Efficiency in Manufacturing Processes

Gian Antonio Susto, Matteo Terzi, Chiara Masiero, Simone Pampuri and Andrea Schirru. A Fraud Detection Decision Support System via Human On-line Behavior Characterization and Machine Learning

ai4i(7) – Neural Network

Session Chair:

Mototsugu Hamada

Marcelo Nery, Marcio Moreno, Rodrigo C. M. Santos and Wallas H. S. Dos Santos. Facing Digital Agriculture Challenges with Knowledge Engineering

Ryota Shimizu, Kosuke Asako, Hiroki Ojima, Shohei Morinaga, Mototsugu Hamada and Tadahiro Kuroda. Balanced Mini-batch Training for Imbalanced Image Data Classification with Neural Network

Guangzhi Qu. Detection Sound Source Direction in 3D Space Using Convolutional Neural Networks

Javad Rouzafzoon and Petri Helo. Developing Logistics and Supply Chain Management by Using Agent-Based Simulation


Detailed Sessions (IEEE AIKE 2018)

Session

Title

AIKE(1) – Machine Learning

Session Chair:

Yu-Heng Hsieh

38        Ganapathy Mani, Bharat Bhargava, Pelin Angin, Miguel Villarreal-Vasquez, Denis Ulybyshev and Jason Kobes. Machine Learning Models to Enhance the Science of Cognitive Autonomy

17        Chieh-Kang Liao, Alan Liu and Yu-Sheng Chao. A Machine Learning Approach to Case Adaptation

48        Nikki Lijing Kuang and Clement H. C. Leung. Performance Dynamics and Termination Errors in Reinforcement Learning

AIKE(2) – Deep Learning

Session Chair:

Stefan Schwab

14        Shin Kamada, Takumi Ichimura and Toshihide Harada. Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5

39        Ganapathy Mani, Bharat Bhargava and Jason Kobes. Scalable Deep Learning Through Fuzzy-based Clustering in Autonomous Systems

AIKE(3) – Best AIKE18  Papers

Session Chair:

Lubomir Stanchev

21        Somang Nam and Deborah Fels. Assessing closed captioning quality using a multilayer perceptron

23        Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal Angryk, Lisa Crystal Krishnamurthy and Robin Morris. Biomarker Detection from fMRI-based Complete Functional Connectivity Networks

45        Mattia Atzeni and Maurizio Atzori. Translating Natural Language to Code: an Unsupervised Ontology-based Approach

AIKE(4) – Knowledge Graph Representations and Search

Session Chair:

Gustavo de Assis Costa

25        Ying Fung Yiu, Jing Du and Rabi Mahapatra. Evolutionary Heuristic A* search: Heuristic Function Optimization via Genetic Algorithm

20        Graph-based Ontology Summarization: A Survey

36        Gustavo De Assis Costa and José Maria Parente Oliveira. Towards Exploring Literals to enrich Data Linking in Knowledge Graphs

46        Ajay Kshemkalyani and Faizan Ali. Fast Graph Exploration by a Mobile Robot

33        Marcio Moreno, Rodrigo C. M. Santos, Wallas H. S. Dos Santos, Reinaldo Silva and Renato Cerqueira. Knowledge Bases Enrichment with Temporal Reasoning using Hyperknowledge

22        Angelina A. Tzacheva, Arunkumar Bagavathi and Sharath C.B. Suryanarayanaprasad. In Search of Actionable Patterns of Lowest Cost - a Scalable Action Graph Method

AIKE(5) – Ensemble Learning

Session Chair:

Rodrigo Costa

54        Justin Kehl and Lubomir Stanchev. N-SLOPE: A One-Class Classification Ensemble For Nuclear Forensics

19        Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin and Rafal Angryk. Neuro-Ensemble

6        Nouna Khandan and Ali Ghobadi. A Comprehensive Approach to Integrate Multiple Fuzzy Expert Systems

AIKE(6) – Poster Session

Session Chair:

Christoph F. Eick

24        Soukaina Filali Boubrahimi and Rafal Angryk. Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction

53        Emmanuel Oyekanlu and Kevin Scoles. Towards Low-Cost, Real-Time, Distributed Signal and Data Processing for Artificial Intelligence Applications at Edges of Large Industrial and Internet Networks

35        Bogdan Walek and Petra Spackova. Content-based recommender system for online stores using expert system

11        Wedad Alawad, Mohamed Zohdy and Debatosh Debnath. Tuning Hyperparameters of Decision Tree Classifiers using Computationally Efficient Schemes

12        Pablo Andrés Millan Arias and Julián Armando Quiroga Sepúlveda. Deep Learned vs. Hand-Crafted Features for Action Classification

AIKE(7) – AI methods for Sentiment and social Analysis

Session Chair:

Bogdan Walek

15        Dongyang Liang, Shasha Li, Bing Ji, Zibo Yi, Jie Yu, Jianfeng Zhang, Yusong Tan and Qingbo Wu. Research on Matrix Multiplication Based WeChat Group Tagging Technology

37        Romita Banerjee, Karima Elgarroussi, Sujing Wang, Yongli Zhang and Christoph F. Eick. Tweet Emotion Mapping: Understanding US Emotions in Time and Space

13        Yongli Zhang and Christoph F. Eick. A Novel Two-stage System for Detecting and Tracking Events in Twitter

4        Jaishree Ranganathan, Nikhil Hedge, Allen Irudayaraj and Angelina Tzacheva. Automatic Detection of Emotions in Twitter Data - A Scalable Decision Tree Classification Method

30        Minh-Son Dao, Koji Zettsu and Asem Kasem. A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data

AIKE(8) – Innovative Approaches in AI and KE

Session Chair:

Minh-Son Dao

26        Pengwei Hu, Zhaomeng Niu, Tiantian He and Keith C.C. Chan. Learning Deep Representations in Integrated Large Network for Graph Clustering

43        Yu-Heng Hsieh and Ming-Syan Chen. Toward green computing: striking the trade-off between efficiency and energy consumption of parallel sequential pattern mining on GPU

61        Markus Lemmer, Florian Köpf, Stefan Schwab, Michael Flad and Sören Hohmann. Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games

40        Ganapathy Mani, Bharat Bhargava, Denis Ulybyshev, Jason Kobes and Puneet Goyal. Autonomous Aggregate Data Analytics in Untrusted Cloud

31        Ryohei Yokobayashi and Takao Miura. Multidimensional Data Mining Based on Tensor Model


AIKE2018 WORKSHOPS

ABC 2018  Chair: Yunmook Nah, Dankook University, Korea

  1. Jeong-Min Seo, Haanju Yoo, Kimin Yun, Hyunil Kim, Sang-Il Choi, Behavior Recognition of a Person in a Daily Video Using Joint Position Information
  2. Sherzod Nurullayev and Sang-Woong Lee,  Parking occupancy detection for unseen dataset based on Dilated Convolutional Neural Networks
  3. Jaemin Jung, Myeonggeon Lee, ..., Seong-je Cho, Kyungwon Suh, Android Malware Detection based on Useful API Calls and Machine Learning
  4. Emmanuel Oyekanlu, Distributed Osmotic Computing Approach to Implementation of Explainable Predictive Deep Learning at Industrial IoT Network Edges with Real-Time Adaptive Wavelet Graphs
  5. Axel Gedeon Mengara, Jiwan Lee, Bonghee Hong, Woo Chan Kim(Agency for Defense Development), Generation of data set for tactical moving objects
  6. Donghan Sun and Soochan Hwang, DSSP: Stream Split Processing Model for High Correctness of Out-of-Order Data Processing
  7. SungHwan Jeon, Wonseok Choi,  HaeJin Chung, Jin Taek Kim, Jonghoon Chun, and Yunmook Nah, MapReduce Tuning to Improve Distributed Machine Learning Performance
  8. Woojin Jeon, Daeseon Choi and Ki-Woong Park, Applying Time-Lapse Concepts into Storage System for Long-Term System Trace Analysis
  9. Chan Cheong, Kee-Won Kim and Seung-Hoon Kim, Design of the Platform Architecture Providing Information for Barrier-free Tourism
  10. Ngoc-Quang Nguyen and Sang-Woong Lee, Colorectal Segmentation Using Multiple Encoder-Decoder Network in Colonoscopy Images 

AI3D 2018  Chair: Salman Ahmed Shaikh, AIRC, AIST, Japan

  1. Rocio Torres, Piero Fraternali, Federico Milani and Darian Frajberg, A Deep Learning model for identifying mountain summits in Digital Elevation Model data
  2. Salman Shaikh, Akiyoshi Matono and Kyoung-Sook Kim, Continuous Querying over Mobile Mapping Stream
  3. Jun Lee, Mikyoung Seo, Jinhwan Kim, Soyoung Hwang, Taehoon Kim and Kyoung-Sook Kim, Management of Subdivided Dynamic Indoor Environments by Autonomous Scanning System 
  4. Taehoon Kim, Jun Lee, Akiyoshi Matono and Kyoung-Sook Kim, DOTLOOM: A Distributed Computing Platform for Three-dimensional Point Cloud Data
  5. Chen-Yu Hao, Mei-Hsin Chen, Tien-Yin Chou and Chia-Wei Lin, The Research on the Framework Design for Integrating the Point Cloud Semantic Annotation Process and PointNET Classification Module

IDP 2018  Chair: Kristen Yuanxi Li, Hong Kong Baptist University, Hong Kong

  1. Paolo Mengoni, Alfredo Milani, Yuanxi Li, Multi-term, Semantic Context Elicitation from Collaborative Networks
  2. Valentina Franzoni, Michele Lepri, Yuanxi Li, Alfredo Milani, Efficient Graph-based Author Disambiguation by Topological Similarity in DBLP
  3. Nikki L. J. Kuang, Clement H. C. Leung, Vienne W. K. Sung, Stochastic Reinforcement Learning
  4. James Jie Deng, Clement H. C. Leung, Yuanxi Li, Emotion Recognition from Human Behaviors using Attention Model
  5. Sheung Wai Chan, Valentina Franzoni, Paolo Mengoni, Alfredo Milani,
    Yiu Ming Cheung, Context-based Image Semantic Similarity for Prosthetic Knowledge