CogMI

Publications

2023

Esteban Payares, Edwin Puertas, Juan Carlos Martínez Santos
Quantum N-Gram Language Models for Tweet Classification. CogMI (2023)
Praharsh Nanavati, Ranjitha Prasad
CLIMAX: An Exploration of Classifier-Based Contrastive Explanations. CogMI (2023)
Aatman Vaidya, Seema Nagar, Amit Anil Nanavati
Forecasting the Spread of Toxicity on Twitter. CogMI (2023)
Edgar Navarro, Kyle J. Standing, Gaby G. Dagher, Tim Andersen
Ensuring Trustworthy Neural Network Training via Blockchain. CogMI (2023)
Chungheon Yi, Wonik Choi, Ling Liu
Revisiting Metric Space Similarity Methods for High Performance Deep Embedding Learning. CogMI (2023)
Richard Torres-Molina, Mohammed Seyam
The Intersection of Usability Evaluation and Machine Learning in Software Systems. CogMI (2023)
Mohamed Abdul Karim Sadiq, Thirumurugan Shanmugam, Nasser Mohammed Al-Fannah, Firdous Kausar
Skills Extraction from Entities in Arabic CVs. CogMI (2023)
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)
Esteban Bautista, Matthieu Latapy
Link Streams as a Generalization of Graphs and Time Series. CogMI (2023)
Jiawei Han
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. CogMI (2023)
Anli Ji, Berkay Aydin
Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CogMI (2023)
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)
5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023, Atlanta, GA, USA, November 1-4, 2023 CogMI (2023)
Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert
Feature Attribution Explanations for Spiking Neural Networks. CogMI (2023)
Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu
Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI (2023)
Robert K. L. Kennedy, Taghi M. Khoshgoftaar
A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data. CogMI (2023)
Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. CogMI (2023)
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)
Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar
Community AI: Towards Community-based Federated Learning. CogMI (2023)
Matteo Riondato
Statistically-Sound Knowledge Discovery from Data: Challenges and Directions. CogMI (2023)
Boris Lorbeer, Mustafa Mohsen
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders. CogMI (2023)
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)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI (2023)
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)
Adrienne Raglin, Raha Moraffah
Data Integrity and Artificial Reasoning. CogMI (2023)
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)
Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu
Amplifying Object Tracking Performance on Edge Devices. CogMI (2023)
Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. CogMI (2023)
Wenlong Ding, Libin Liu, Li Chen, Hong Xu
ABC: Automatic Bottom-Up Construction of Configuration Knowledge Base for Multi-Vendor Networks. CogMI (2023)

2022