18 citations · 34 across the 7 of their papers we have counts for
8 papers
DDoD: Dual Denial of Decision Attacks on Human-AI Teams
Benjamin Tag, Niels van Berkel, Sunny Verma +5
Artificial Intelligence (AI) systems have been increasingly used to make decision-making processes faster, more accurate, and more efficient. However, such systems are also at cons…
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Yiqiao Li, Jianlong Zhou, Sunny Verma +1
Graph neural networks (GNNs) have demonstrated a significant boost in prediction performance on graph data. At the same time, the predictions made by these models are often hard to…
Fairness and Cost Constrained Privacy-Aware Record Linkage
Nan Wu, Dinusha Vatsalan, Sunny Verma +1
Record linkage algorithms match and link records from different databases that refer to the same real-world entity based on direct and/or quasi-identifiers, such as name, address,…
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
Jianlong Zhou, Sunny Verma, Mudit Mittal +1
Algorithmic processes are increasingly employed to perform managerial decision making, especially after the tremendous success in Artificial Intelligence (AI). This paradigm shift…
Imitation Learning: Progress, Taxonomies and Challenges
Boyuan Zheng, Sunny Verma, Jianlong Zhou +2
Imitation learning aims to extract knowledge from human experts' demonstrations or artificially created agents in order to replicate their behaviors. Its success has been demonstra…
Variational Co-embedding Learning for Attributed Network Clustering
Shuiqiao Yang, Sunny Verma, Borui Cai +4
Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is e…
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
Sunny Verma, Jiwei Wang, Zhefeng Ge +5
Multimodal sentiment analysis utilizes multiple heterogeneous modalities for sentiment classification. The recent multimodal fusion schemes customize LSTMs to discover intra-modal…
Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion
Sunny Verma, Chen Wang, Liming Zhu +1
The principal component analysis network (PCANet) is an unsupervised parsimonious deep network, utilizing principal components as filters in its convolution layers. Albeit powerful…