Publications & Patents
My research contributions to the field of machine learning and artificial intelligence, including peer-reviewed publications and intellectual property.
Transformer-Based Multi-Variate Time Series Forecasting with Attention Mechanisms
Your Name, Jane Smith, Robert Johnson
Journal of Machine Learning Research 25 (1-28)
We propose a novel transformer architecture specifically designed for multi-variate time series forecasting. Our approach incorporates temporal attention mechanisms and achieves state-of-the-art performance on multiple benchmark datasets.
Federated Learning with Differential Privacy for Healthcare Applications
Your Name, Alice Chen, Michael Brown, Sarah Davis
International Conference on Machine Learning (ICML) (2156-2167)
This paper presents a federated learning framework that preserves patient privacy while enabling collaborative model training across healthcare institutions. We demonstrate significant improvements in diagnostic accuracy while maintaining strict privacy guarantees.
Multi-Modal Deep Learning for Medical Image Analysis
Your Name, David Wilson, Emily Rodriguez
Nature Machine Intelligence 4 (892-905)
We develop a multi-modal deep learning approach that combines medical imaging with clinical text data for improved diagnostic accuracy. Our method shows 12% improvement in early disease detection across multiple conditions.
Real-Time Anomaly Detection in IoT Sensor Networks Using Ensemble Methods
Your Name, Kevin Lee, Maria Garcia
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1234-1243)
We present a scalable ensemble-based approach for real-time anomaly detection in IoT sensor networks. Our system processes over 100K events per second with sub-millisecond latency while maintaining high accuracy.
Large Language Models for Code Generation: A Comprehensive Evaluation
Your Name, Lisa Wang, James Thompson
arXiv preprint
This work provides a comprehensive evaluation of large language models for automated code generation across multiple programming languages and domains. We introduce new benchmarks and evaluation metrics.