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Publication search results
found 29 matches
- 2023
- Esteban Bautista, Matthieu Latapy:
Link Streams as a Generalization of Graphs and Time Series. CogMI 2023: 150-158 - Wenlong Ding, Libin Liu, Li Chen, Hong Xu:
ABC: Automatic Bottom-Up Construction of Configuration Knowledge Base for Multi-Vendor Networks. CogMI 2023: 135-140 - Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Amplifying Object Tracking Performance on Edge Devices. CogMI 2023: 83-92 - Jiawei Han:
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. CogMI 2023: xiii - Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. CogMI 2023: 190-195 - Anli Ji, Berkay Aydin:
Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CogMI 2023: 196-203 - Hongpeng Jin, Wenqi Wei, Xuyu Wang
, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI 2023: 112-121 - Masud Karim, Md. Solaiman Mia
, Saifuddin Md. Tareeq, Md. Hasanuzzaman:
Evaluate Effectiveness of NAO Robot to Train Children with Autism Spectrum Disorder (ASD). CogMI 2023: 165-174 - Robert K. L. Kennedy, Taghi M. Khoshgoftaar:
A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data. CogMI 2023: 11-17 - 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. CogMI 2023: 175-183 - Boris Lorbeer, Mustafa Mohsen:
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders. CogMI 2023: 103-111 - 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 Heisl, 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. CogMI 2023: 1-10 - Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu:
Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI 2023: 24-30 - Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar:
Community AI: Towards Community-based Federated Learning. CogMI 2023: 1-9 - Praharsh Nanavati, Ranjitha Prasad:
CLIMAX: An Exploration of Classifier-Based Contrastive Explanations. CogMI 2023: 49-58 - Edgar Navarro, Kyle J. Standing, Gaby G. Dagher, Tim Andersen:
Ensuring Trustworthy Neural Network Training via Blockchain. CogMI 2023: 31-40 - Elisa Nguyen
, Meike Nauta
, Gwenn Englebienne
, Christin Seifert
:
Feature Attribution Explanations for Spiking Neural Networks. CogMI 2023: 59-68 - Esteban Payares, Edwin Puertas, Juan Carlos Martínez Santos:
Quantum N-Gram Language Models for Tweet Classification. CogMI 2023: 69-74 - Calton Pu, Abhijit Suprem, Aibek Musaev, João Eduardo Ferreira:
Evolution of Knowledge in Social Media and Their Relationship to an Evolving Real World. CogMI 2023: 18-23 - Adrienne Raglin, Raha Moraffah:
Data Integrity and Artificial Reasoning. CogMI 2023: 93-96 - 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. CogMI 2023: 41-48 - Matteo Riondato:
Statistically-Sound Knowledge Discovery from Data: Challenges and Directions. CogMI 2023: 97-102 - Mohamed Abdul Karim Sadiq, Thirumurugan Shanmugam, Nasser Mohammed Al-Fannah, Firdous Kausar:
Skills Extraction from Entities in Arabic CVs. CogMI 2023: 204-208 - Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini:
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. CogMI 2023: 128-134 - Richard Torres-Molina, Mohammed Seyam:
The Intersection of Usability Evaluation and Machine Learning in Software Systems. CogMI 2023: 122-127 - Aatman Vaidya, Seema Nagar, Amit Anil Nanavati:
Forecasting the Spread of Toxicity on Twitter. CogMI 2023: 209-217 - Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar:
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. CogMI 2023: 75-82 - Chungheon Yi, Wonik Choi, Ling Liu:
Revisiting Metric Space Similarity Methods for High Performance Deep Embedding Learning. CogMI 2023: 159-164 - 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 [contents]
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