The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals.
Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
* Includes the tracks: artificial intelligence and applied cognitive computing;
* Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).
págs. 3-16
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
Soheyla Amirian, Khaled Rasheed, Thiab R. Taha, H.R. Arabnia
págs. 17-28
White Blood Cell Classification Using Genetic Algorithm–Enhanced Deep Convolutional Neural Networks
Omer Sevinc, Mehrube Mehrubeoglu, Mehmet S. Guzel, Iman Askerzade
págs. 29-44
págs. 45-58
Deep Embedded Knowledge Graph Representations for Tactic Discovery
Joshua Haley, Ross Hoehn, John L. Singleton, Chris Ballinger, Alejandro Carbonara
págs. 59-72
Pathways to Artificial General Intelligence: a Brief Overview of Developments and Ethical Issues via Artificial Intelligence, Machine LearningDeep Learning, and Data Science
págs. 73-88
págs. 89-100
págs. 101-110
Long Short-Term Memory in Chemistry Dynamics Simulation
Heng Wu, Shaofei Lu, Eduardo Colmenares Diaz, Junbin Liang, Jingke She, Xiaolin Tan
págs. 111-126
When Entity Resolution Meets Deep Learning: is Similarity Measure Necessary?
págs. 127-140
págs. 141-146
A Deep Learning Approach to Diagnose Skin Cancer Using Image Processing
Roli Srivastava, Musarath Jahan Rahamathullah, Siamak Aram, Nathaniel Ashby, Roozbeh Sadeghian
págs. 147-154
págs. 157-170
Human Motion Recognition Using Zero-Shot Learning
Farid Ghareh Mohammadi, Ahmed Imteaj, M. Hadi Amini, H.R. Arabnia
págs. 171-182
págs. 183-200
págs. 201-210
Event-Based Keyframing: transforming Observation Data into Compact and Meaningful Form
Robert Wray, Robert Bridgman, Joshua Haley, Laura Hamel, Angela Woods
págs. 211-222
págs. 223-234
Traceability Analysis of Patterns Using Clustering Techniques
José Aguilar, Camilo Salazar, Julián Alberto Monsalve Pulido, Edwin Montoya, Henry Velasco
págs. 235-250
An Approach to Interactive Analysis of StarCraft: broodWar Replay Data
págs. 251-262
Jack Y. Yang, Xuesen Wu, Gang Chen, William Yang, John R. Talburt, Hong Xie, Qiang Fang, Shiren Wang, Mary Qu Yang
págs. 263-276
págs. 277-296
págs. 297-310
Targeted Aspect-Based Sentiment Analysis for Ugandan Telecom: reviews from Twitter
págs. 311-322
págs. 323-334
Reducing the Data Cost of Machine Learning with AI: a Case Study
págs. 335-344
págs. 345-350
Using Neural Networks and Genetic Algorithms for Predicting Human Movement in Crowds
Abdullah Alajlan, Alaa Edris, Robert B. Heckendorn, Terence Soule
págs. 353-368
págs. 369-380
págs. 381-408
págs. 409-424
págs. 425-436
págs. 437-448
págs. 449-460
págs. 461-474
págs. 477-490
Emergent Heterogeneous Strategies from Homogeneous Capabilities in Multi-Agent Systems
Rolando Fernandez, James D. Humann, Brandon Perelman, Michael R. Dorothy, Sebastian S. Rodriguez, Derrik E. Asher
págs. 491-498
Artificially Intelligent Cyber Security: reducing Risk and Complexity
págs. 499-524
págs. 525-542
págs. 543-560
págs. 561-570
págs. 571-582
págs. 583-606
págs. 607-618
Adaptive Chromosome Diagnosis Based on Scaling Hierarchical Clusters
Muhammed Akif Ağca, Cihan Taştan, Kadir Üstün, Ibrahim Halil Giden
págs. 619-640
págs. 641-650
A Multigraph-Based Method for Improving Music Recommendation
James Waggoner, Randi Dunkleman, Yang Gao, Todd Gary, Qingguo Vimal
págs. 651-666
págs. 667-678
págs. 679-694
págs. 695-714
págs. 715-720
A Classifier of Popular Music Online Reviews: joy Emotion Analysis
págs. 721-726
págs. 729-741
págs. 743-756
An IoT-Edge-Server System with BLE Mesh Network, LBPH: and Deep Metric Learning
Archit Gajjar, Shivang Dave, T. Andrew Yang, Lei Wu, Xiaokun Yang
págs. 757-774
págs. 775-786
Advancing AI-aided Computational Thinking in STEM (Science, Technology, Engineering & Math) Education: (Act-STEM)
Lei Wu, Alan Yang, Anton Dubrovskiy, Han He, Hua Yan, Xiaokun Yang, Xiao Qin, Bo Liu, Zhimin Gao, Shan Du, T. Andrew Yang
págs. 787-796
Realistic Drawing & Painting with AI-Supported Geometrical and Computational Method: (Fun-Joy)
Lei Wu, Alan Yang, Han He, Xiaokun Yang, Hua Yan, Zhimin Gao, Xiao Qin, Bo Liu, Shan Du, Anton Dubrovskiy, T. Andrew Yang
págs. 797-804
Training-Data Generation and Incremental Testing for Daily Peak Load Forecasting
Jihoon Moon, Sungwoo Park, Seungmin Jung, Eenjun Hwang, Seungmin Rho
págs. 807-816
págs. 817-824
págs. 825-832
págs. 833-840
págs. 841-850
A Hybrid Deep Learning Approach for Detecting and Classifying Breast Cancer Using Mammogram Images
K. Lakshminarayanan, Y. Harold Robinson, S. Vimal, Dongwann Kang
págs. 851-856
Food-Type Recognition and Estimation of Calories Using Neural Network
R. Dinesh Kumar, Golden Julie E., Y. Harold Robinson, Sanghyun Seo
págs. 857-862
Progression Detection of Glaucoma Using K-means and GLCM Algorithm
S. Vimal, Y. Harold Robinson, M. Kaliappan, K. Vijayalakshmi, Sanghyun Seo
págs. 863-868
Trend Analysis Using Agglomerative Hierarchical Clustering Approach for Time Series Big Data
P. Subbulakshmi, S. Vimal, M. Kaliappan, Y. Harold Robinson, Mucheol Kim
págs. 869-876
Demand Response: multiagent System Based DR Implementation
Faisal Saeed, Anand Paul, Seungmin Rho, Muhammad Jamal Ahmed
págs. 877-882
t-SNE-Based K-NN: a New Approach for MNIST
Muhammad Jamal Ahmed, Faisal Saeed, Anand Paul, Seungmin Rho
págs. 883-888
págs. 889-896
BI-LSTM-LSTM Based Time Series Electricity Consumption Forecast for South Korea
Malik Junaid Jami Gul, M. Hafid Firmansyah, Seungmin Rho, Anand Paul
págs. 897-902
Simón Fernández Vázquez, Rafael Rosillo Camblor, Paolo Priore Moreno, Isabel Fernández Quesada, Alberto Gómez Gómez, José Parreño Fernández
págs. 905-912
Smart Marketing on Audiovisual Content Platforms: intellectual Property Implications
Elisa Gutiérrez García, Cristina Puente Águeda, Cristina Velasco, José Ángel Olivas Varela
págs. 913-922
Priority Management in a Cybernetic Organization: a Simulation-Based Support Tool
Julio César Puche Regaliza, José Costas Gual, Borja Ponte Blanco, Raúl Pino Díez, David de la Fuente García
págs. 923-927
A Model for the Strategic Management of Innovation and R&D Based on Real Options Valuation: assessing the Options to Abandon and Expand Clinical Trials in Pharmaceutical Firms
Francisco Javier Puente García, S. Alonso, Fernando Gascón García-Ochoa, Borja Ponte Blanco, David de la Fuente García
págs. 927-932
págs. 935-950
págs. 951-962
págs. 963-978
págs. 981-998
págs. 999-1010
págs. 1011-1028
págs. 1029-1046
págs. 1047-1060
págs. 1061-1070
págs. 1071-1086
Assessing Cognitive Load via Pupillometry
Pavel Weber, Franca Rupprecht, Stefan Wiesen, Bernd Hamann, Achim Ebert
págs. 1087-1096
págs. 1097-1106
págs. 1107-1122
págs. 1123-1144
págs. 1145-1152
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