Area of research
Artificial Intelligence · Signal Processing
Research interest
Research interests include Anomaly Detection Techniques and Applications, Data Management and Algorithms, Data Mining Algorithms and Applications, and Complex Network Analysis Techniques.
Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey
Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks
Leveraging Large Language Models for Supply Chain Management Optimization: A Case Study
Mobility Data Science: Perspectives and Challenges
Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Ten years after ImageNet: a 360° perspective on artificial intelligence.
Neuro-Symbolic Regression with Applications
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding
<i>k</i>-means–: A unified approach to clustering and outlier detection
On detection of emerging anomalous traffic patterns using GPS data
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
2013cited by 67position: last
Inferring the Root Cause in Road Traffic Anomalies
Advances in Knowledge Discovery and Data Mining
Advances in Knowledge Discovery and Data Mining