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ORCID5th CogMI 2023: Atlanta, GA, USA
- 5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023, Atlanta, GA, USA, November 1-4, 2023. IEEE 2023, ISBN 979-8-3503-2383-2
- Swati Rai, Jignesh S. Bhatt, Sarat Kumar Patra, Tanmay Ambadkar:
A Cognitive Behavioral AI: Novel Conversational Memory Elements for Technical Understanding of Medical Deep Denoisers. 41-48 - Richard Torres-Molina, Mohammed Seyam:
The Intersection of Usability Evaluation and Machine Learning in Software Systems. 122-127 - Chungheon Yi, Wonik Choi, Ling Liu:
Revisiting Metric Space Similarity Methods for High Performance Deep Embedding Learning. 159-164 - Calton Pu, Abhijit Suprem, Aibek Musaev, João Eduardo Ferreira:
Evolution of Knowledge in Social Media and Their Relationship to an Evolving Real World. 18-23 - Sanjana Vijay Ganesh
, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Amplifying Object Tracking Performance on Edge Devices. 83-92 - Mohamed Abdul Karim Sadiq, Thirumurugan Shanmugam, Nasser Mohammed Al-Fannah, Firdous Kausar:
Skills Extraction from Entities in Arabic CVs. 204-208 - Adrienne Raglin, Raha Moraffah:
Data Integrity and Artificial Reasoning. 93-96 - Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar:
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. 75-82 - Edgar Navarro, Kyle J. Standing, Gaby G. Dagher, Tim Andersen:
Ensuring Trustworthy Neural Network Training via Blockchain. 31-40 - Praharsh Nanavati, Ranjitha Prasad:
CLIMAX: An Exploration of Classifier-Based Contrastive Explanations. 49-58 - Jiawei Han:
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. xiii - Wenlong Ding, Libin Liu, Li Chen, Hong Xu:
ABC: Automatic Bottom-Up Construction of Configuration Knowledge Base for Multi-Vendor Networks. 135-140 - Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. 112-121 - Esteban Payares, Edwin Puertas, Juan Carlos Martínez Santos:
Quantum N-Gram Language Models for Tweet Classification. 69-74 - Anli Ji, Berkay Aydin:
Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. 196-203 - Esteban Bautista, Matthieu Latapy:
Link Streams as a Generalization of Graphs and Time Series. 150-158 - Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar:
Community AI: Towards Community-based Federated Learning. 1-9 - Masud Karim, Md. Solaiman Mia, Saifuddin Md. Tareeq, Md. Hasanuzzaman:
Evaluate Effectiveness of NAO Robot to Train Children with Autism Spectrum Disorder (ASD). 165-174 - Aatman Vaidya, Seema Nagar, Amit Anil Nanavati:
Forecasting the Spread of Toxicity on Twitter. 209-217 - Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert:
Feature Attribution Explanations for Spiking Neural Networks. 59-68 - Dohee Kim, Sung-Hyun Sim, Bori Yoon, Ling Liu, Hyerim Bae:
Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder. 175-183 - Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu:
Location-Adaptive Generative Graph Augmentation for Fraud Detection. 24-30 - Robert K. L. Kennedy, Taghi M. Khoshgoftaar:
A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data. 11-17 - Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. 190-195 - Matteo Riondato:
Statistically-Sound Knowledge Discovery from Data: Challenges and Directions. 97-102 - Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini:
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. 128-134 - Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning, David Coyle, Philip M. Dames, Tom O'Halloran, James Hays, Patrick Hiesl, Chenfanfu Jiang, Puskar Khanal, Venkat Narayan Krovi, Sara Kuebbing, Nianyi Li, JingJing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao:
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. 1-10 - Boris Lorbeer, Mustafa Mohsen:
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders. 103-111
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