8 citations · 12 across the 8 of their papers we have counts for
8 papers
A3T: Accuracy Aware Adversarial Training
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar +1
Adversarial training has been empirically shown to be more prone to overfitting than standard training. The exact underlying reasons still need to be fully understood. In this pape…
Ten Years after ImageNet: A 360° Perspective on AI
Sanjay Chawla, Preslav Nakov, Ahmed Ali +7
It is ten years since neural networks made their spectacular comeback. Prompted by this anniversary, we take a holistic perspective on Artificial Intelligence (AI). Supervised Lear…
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting
Muhammad Imran, Sanjay Chawla, Carlos Castillo
An emerging challenge in the online classification of social media data streams is to keep the categories used for classification up-to-date. In this paper, we propose an innovativ…
Resilience of human brain functional coactivation networks under thresholding
S. Sarkar, S. Chawla, H. Weng
Recent studies have demonstrated the existence of community structure and rich club nodes, (i.e., highly interconnected, high degree hub nodes), in human brain functional networks.…
Integer Programming Relaxations for Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio Ramos +2
In this paper we present methods for exemplar based clustering with outlier selection based on the facility location formulation. Given a distance function and the number of outlie…
Network Traffic Decomposition for Anomaly Detection
Tahereh Babaie, Sanjay Chawla, Sebastien Ardon
In this paper we focus on the detection of network anomalies like Denial of Service (DoS) attacks and port scans in a unified manner. While there has been an extensive amount of re…