List of accepted and to be presented papers.

Session 1: Cognitive Learning with Domain Knowledge
  • Machine Learning and Human Cognition Combined to Enhance Knowledge Discovery Fidelity
  • Salim Chujfi and Christoph Meinel (Hasso Plattner Institute, Gemany)
  • GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure
  • Lei Yu (IBM Research, US), Ling Liu, Calton Pu, Ka Ho Chow, Emre Gursoy, Stacey Truex, (Georgia Institute of Technology, US) Hong Min, Arun Iyengar, Gong Su, Qi Zhang and Donna Dillenberger (IBM Research, US)
  • Self-adaptive tuning for speech enhancement algorithm based on evolutionary approach
  • Ryan Leblanc and Sid Ahmed Selouani (Université de Moncton, Canada)
  • Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Heterogeneous Many-Camera Networks
  • Abhijit Suprem, Rodrigo Alves Lima (Georgia Institute of Technology, US), Bruno Padilha (University of São Paulo, Brazil), Calton Pu (Georgia Institute of Technology, US) and Joao Eduardo Ferreira (University of São Paulo, Brazil)

Session 2: Cognitive Machine Intelligence and Applications
  • Cognitive Identity Management: Risks, Trust and Decisions using Heterogeneous Sources
  • Svetlana Yanushkevich (University of Calgary, Canada), Gareth Howells (University of Kent, UK), Keeley Crockett, James O'Shea, (Manchester Metropolitan University, UK), Helder C. R. Oliveira(University of Calgary, Canada), Richard Guest (University of Kent, UK) and Vlad Shmerko (University of Calgary, Canada)
  • Deep Heterogeneous Social Network Alignment
  • Lin Meng, Yuxiang Ren, Jiawei Zhang (Florida State University, US), Fanghua Ye (University College London, UK) and Philip S. Yu (University of Il
  • Approximate Deep Network Embedding for Mining Large-scale Graphs
  • Yang Zhou (Auburn University, US) and Ling Liu (Georgia Institute of Technology)
  • #Selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury
  • Lei Xian, Samuel D. Vickers, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, and Lakshmish Ramaswamy (University of Georgia, US)

Session 3: Supervised and Unsupervised Learning
  • Cluster-based anonymozation of directed graphs
  • Tu Hoang, Barbara Carminati and Elena Ferrari (University of Insubria, Italy)
  • Annete: An Intelligent Tutoring Companion Embedded into the Eclipse IDE
  • Melissa Day, Manohara Rao Penumala and Javier Gonzalez-Sanchez (Arizona State University, US)
  • Acute Mental Stress Measurement using Brain-IoT System
  • Bhagyashree Shirke, Jonathan Wong and Kiran George (California State University Fullerton, US)
  • Multimodal models for contextual affect assessment in real-time [CogMI short paper]
  • Jordan Vice (Curtin University, Australia), Masood Mehmood Khan (Curtin University of Technology, Australia) and Svetlana Yanushkevich (University of Calgary, Canada)
  • Classification of Space Objects Using Machine Learning Methods [CogMI short paper]
  • Mahmoud Khalil, Elena Fantino and Panos Liatsis (Khalifa University, United Arab Emirates)
    [slides] [video]

Session 4: Learning and Machine Intelligence
  • Sensory Audio Focusing Detection Using Brain Computer Interface Archetype
  • Ryan Villanueva, Brandon Hoang, Urmil Shah, (California State University Fullerton, US) Yazmin Martinez (University of Nevada, US) and Kiran George (California State University Fullerton, US)
  • Creating Cyber Deception Games
  • Maxine Major (Naval Information Warfare Center Pacific, US), Kimberly Ferguson-Walter (Laboratory of Advanced Cybersecurity Research, US), Sunny Fugate and Justin Mauger (Naval Information Warfare Center Pacific, US)
  • Deployment of Deep Learning Models to Mobile Devices for Spam Classification [short paper]
  • Ameema Zainab, Dabeeruddin Syed (Texas A&M University, US) and Dena Al-Thani (Hamad bin Khalifa University, Qatar)
  • A2Text-Net: A Novel Deep Neural Network for Sarcasm Detection
  • Liyuan Liu, Jennifer Priestley, Yiyun Zhou, Herman Ray and Meng Han (Kennesaw State University, US)

Session 5: Cognitive Learning and Applications
  • Discovery of Action Rules for Continuously Valued Data
  • Tom Johnsten, Wyatt Green, Lowell Crook, Ho Yin Chan, Ryan Benton and David Bourrie (University of South Alabama, US)
  • Perennial, Permuted, and Pervasive Search in Ambient Intelligence
  • Javed Mostafa (University of North Carolina), Xiaopeng Lu (Carnegie Mellon University) and Sandeep Avula (University of North Carolina)
  • Fractal Base Antennas Effects on Wi-Fi Harvesting Technologies [short paper]
  • Riken Parekh and Kiran George (California State University Fullerton, US)
  • Benchmarking Contemporary Deep Learning Hardware and Frameworks: A Survey of Qualitative Metrics [short paper]
  • Wei Dai (Southeast Missouri State University, US) and Daniel Berleant (University of Arkansas at Little Rock, US)
  • Applying Software Design Metrics to Developer Story: A Supervised Machine Learning Analysis [CogMI short paper]
  • Asaad Algarni and Kenneth Magel (North Dakota State University, US)

Vision Track in Cognitive Machine Intelligence
  • On Urban Event Tracking from Online Media: A Social Cognition Perspective
  • Tarek Abdelzaher (University of Illinois at Urbana-Champaign, US)
  • How Network Analysis Can Improve the Reliability of Modern Software Ecosystems
  • Paolo Boldi (University of Milan, Italy)
  • Towards Generating Consumer Labels for Machine Learning Models
  • Christin Seifert (University of Twente, Netherlands), Lena Wiese (OTH Regensburg, Germany) and Stefanie Scherzinger (Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Germany)
  • AI, IoT, and Robotics: Connecting Millennials and Manufacturing
  • Sudhanshu Gaur, Joydeep Acharya and Yasutaka Serizawa (Hitachi, US)
  • Automating Deep Neural Network Model Selection for Edge Inference
  • Bingqian Lu, Jianyi Yang (University of California Riverside, US), Lydia Y. Chen (Delft University of Technology, Netherlands) and Shaolei Ren (University of California Riverside, US)
  • Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge
  • Dong Wang, Yue Zhang, Yang Zhang, Md Tahmid Rashid, Lanyu Shang and Na Wei (University of Notre Dame, US)
  • Building Explainable Data Analytics for Location-Dependent Time-Series Data
  • Yao-Yi Chiang, Yijun Liu, Meredith Franklin (University of Southern California, US) and Wei-Shinn Ku (Auburn University, US)
  • Toward Autonomy: Symbiotic Formal and Statistical Machine Reasoning
  • J. Sukarno Mertoguno (Georgia Tech Research Institute, US)
  • Detection Perceived Appropriateness of a Robot's Social Positioning Behavior from Non-Verbal Cues
  • Jered Vroon (Delft University of Technology, Netherlands), Gwenn Englebienne (University of Twente, Netherlands) and Vanessa Evers (Nanyang Technological University, Singapore)
  • Perennial, Permuted, and Pervasive Search in Ambient Intelligence
  • Javed Mostafa (University of North Carolina), Xiaopeng Lu (Carnegie Mellon University) and Sandeep Avula (University of North Carolina)