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06/21/2023
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans, a...
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11/29/2022
A3T: Accuracy Aware Adversarial Training
Adversarial training has been empirically shown to be more prone to over...
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11/20/2022
Interpretable Scientific Discovery with Symbolic Regression: A Review
Symbolic regression is emerging as a promising machine learning method f...
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11/10/2022
Impact of Adversarial Training on Robustness and Generalizability of Language Models
Adversarial training is widely acknowledged as the most effective defens...
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01/07/2022
Offline Reinforcement Learning for Road Traffic Control
Traffic signal control is an important problem in urban mobility with a ...
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10/13/2021
Updating Street Maps using Changes Detected in Satellite Imagery
Accurately maintaining digital street maps is labor-intensive. To addres...
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04/02/2021
Permutation-Invariant Subgraph Discovery
We introduce Permutation and Structured Perturbation Inference (PSPI), a...
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12/22/2020
Probabilistic Outlier Detection and Generation
A new method for outlier detection and generation is introduced by lifti...
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10/07/2020
QarSUMO: A Parallel, Congestion-optimized Traffic Simulator
Traffic simulators are important tools for tasks such as urban planning ...
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09/17/2020
Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework
To reach a broader audience and optimize traffic toward news articles, m...
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08/06/2020
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
In this paper, we will show that the recently introduced graphical model...
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07/19/2020
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
Inferring road graphs from satellite imagery is a challenging computer v...
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12/28/2019
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Inferring road attributes such as lane count and road type from satellit...
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06/17/2019
Machine-Assisted Map Editing
Mapping road networks today is labor-intensive. As a result, road maps h...
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05/22/2019
AI-CARGO: A Data-Driven Air-Cargo Revenue Management System
We propose AI-CARGO, a revenue management system for air-cargo that comb...
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01/10/2019
Deep Learning for Anomaly Detection: A Survey
Anomaly detection is an important problem that has been well-studied wit...
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05/29/2018
Building your Cross-Platform Application with RHEEM
Today, organizations typically perform tedious and costly tasks to juggl...
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05/09/2018
RHEEMix in the Data Jungle -- A Cross-Platform Query Optimizer --
In pursuit of efficient and scalable data analytics, the insight that "o...
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04/13/2018
Group Anomaly Detection using Deep Generative Models
Unlike conventional anomaly detection research that focuses on point ano...
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02/18/2018
Anomaly Detection using One-Class Neural Networks
We propose a one-class neural network (OC-NN) model to detect anomalies ...
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02/11/2018
Unthule: An Incremental Graph Construction Process for Robust Road Map Extraction from Aerial Images
The availability of highly accurate maps has become crucial due to the i...
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02/07/2018
Road Network Fusion for Incremental Map Updates
In the recent years a number of novel, automatic map-inference technique...
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01/31/2018
Optimizing Non-decomposable Measures with Deep Networks
We present a class of algorithms capable of directly training deep neura...
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12/25/2017
SAGA: A Submodular Greedy Algorithm For Group Recommendation
In this paper, we propose a unified framework and an algorithm for the p...
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11/03/2017
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge
Program analysis is a technique to reason about programs without executi...
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04/22/2017
Robust, Deep and Inductive Anomaly Detection
PCA is a classical statistical technique whose simplicity and maturity h...
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02/20/2017
Kharita: Robust Map Inference using Graph Spanners
The widespread availability of GPS information in everyday devices such ...
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10/06/2016
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting
An emerging challenge in the online classification of social media data ...
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05/13/2016
Online Optimization Methods for the Quantification Problem
The estimation of class prevalence, i.e., the fraction of a population t...
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07/20/2011