University at Albany

research

∙ 11/25/2019

Phase Contrast Microscopy Cell PopulationSegmentation: A Survey

Phase contrast microscopy (PCM) has been widely used in biomedicine rese...

Lin Zhang, et al. ∙

research

∙ 01/16/2020

Vision Meets Drones: Past, Present and Future

Drones, or general UAVs, equipped with cameras have been fast deployed w...

Pengfei Zhu, et al. ∙

research

∙ 01/29/2021

Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling

Student procrastination and cramming for deadlines are major challenges ...

Mengfan Yao, et al. ∙

research

∙ 04/21/2020

On-the-Fly Joint Feature Selection and Classification

Joint feature selection and classification in an online setting is essen...

Yasitha Warahena Liyanage, et al. ∙

research

∙ 12/20/2019

Learning Semantic Neural Tree for Human Parsing

The majority of existing human parsing methods formulate the task as sem...

Ruyi Ji, et al. ∙

research

∙ 01/29/2021

Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs

Hawkes processes have been shown to be efficient in modeling bursty sequ...

Mengfan Yao, et al. ∙

research

∙ 08/30/2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

For node level graph encoding, a recent important state-of-art method is...

Zhiqian Chen, et al. ∙

research

∙ 06/21/2019

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations

Recent years have seen fast development in synthesizing realistic human ...

Yuezun Li, et al. ∙

research

∙ 09/15/2017

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks

Detection of interesting (e.g., coherent or anomalous) clusters has been...

Feng Chen, et al. ∙

research

∙ 10/30/2016

Feature-Augmented Neural Networks for Patient Note De-identification

Patient notes contain a wealth of information of potentially great inter...

Ji Young Lee, et al. ∙

research

∙ 06/10/2016

De-identification of Patient Notes with Recurrent Neural Networks

Objective: Patient notes in electronic health records (EHRs) may contain...

Franck Dernoncourt, et al. ∙

research

∙ 05/06/2016

LSTM with Working Memory

Previous RNN architectures have largely been superseded by LSTM, or "Lon...

Andrew Pulver, et al. ∙

research

∙ 05/24/2017

Learning with Average Top-k Loss

In this work, we introduce the average top-k (AT_k) loss as a new ensemb...

Yanbo Fan, et al. ∙

research

∙ 12/11/2016

Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity

Sparsity-constrained optimization is an important and challenging proble...

Feng Chen, et al. ∙

research

∙ 09/30/2016

Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection

Structured sparse optimization is an important and challenging problem f...

Baojian Zhou, et al. ∙

research

∙ 05/22/2017

Robust Localized Multi-view Subspace Clustering

In multi-view clustering, different views may have different confidence ...

Yanbo Fan, et al. ∙

research

∙ 10/17/2015

A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks

Analysis of opinion dynamics in social networks plays an important role ...

Victor Amelkin, et al. ∙

research

∙ 03/02/2015

Unregularized Online Learning Algorithms with General Loss Functions

In this paper, we consider unregularized online learning algorithms in a...

Yiming Ying, et al. ∙

research

∙ 08/28/2010

Foundations of Inference

We present a simple and clear foundation for finite inference that unite...

Kevin H. Knuth, et al. ∙

research

∙ 03/18/2013

Modeling a Sensor to Improve its Efficacy

Robots rely on sensors to provide them with information about their surr...

N. K. Malakar, et al. ∙

research

∙ 10/09/2017

A Unified Approach on the Local Power of Panel Unit Root Tests

In this paper, a unified approach is proposed to derive the exact local ...

Zhongwen Liang, et al. ∙

research

∙ 03/27/2018

Multi-Scale Structure-Aware Network for Human Pose Estimation

We develop a robust multi-scale structure-aware neural network for human...

Lipeng Ke, et al. ∙

research

∙ 03/31/2018

Tagging like Humans: Diverse and Distinct Image Annotation

In this work we propose a new automatic image annotation model, dubbed ...

Baoyuan Wu, et al. ∙

research

∙ 04/14/2018

Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding

Knowledge Graphs (KGs) are becoming essential to information systems tha...

Muhammad Rizwan Saeed, et al. ∙

research

∙ 04/16/2018

A Univariate Bound of Area Under ROC

Area under ROC (AUC) is an important metric for binary classification an...

Siwei Lyu, et al. ∙

research

∙ 05/24/2018

How Many Directions Determine a Shape and other Sufficiency Results for Two Topological Transforms

In this paper we consider two topological transforms based on Euler calc...

Justin Curry, et al. ∙

research

∙ 06/13/2018

A Hybrid RF-VLC System for Energy Efficient Wireless Access

In this paper, we propose a new paradigm in designing and realizing ener...

Abdallah Khreishah, et al. ∙

research

∙ 07/24/2018

An Efficient System for Subgraph Discovery

Subgraph discovery in a single data graph---finding subsets of vertices ...

Aparna Joshi, et al. ∙

research

∙ 12/21/2018

Exact computation of the matching distance on 2-parameter persistence modules

The matching distance is a pseudometric on multi-parameter persistence m...

Michael Kerber, et al. ∙

research

∙ 02/15/2019

Computing Minimal Presentations and Betti Numbers of 2-Parameter Persistent Homology

Motivated by applications to topological data analysis, we give an effic...

Michael Lesnick, et al. ∙

research

∙ 02/15/2019

Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology

Motivated by applications to topological data analysis, we give an effic...

Michael Lesnick, et al. ∙

research

∙ 03/31/2019

An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images

In this paper, we propose a new model to segment cells in phase contrast...

Lin Zhang, et al. ∙

research

∙ 04/25/2019

Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning

In this paper we study the stability and its trade-off with optimization...

Wei Shen, et al. ∙

research

∙ 05/26/2019

Dual Averaging Method for Online Graph-structured Sparsity

Online learning algorithms update models via one sample per iteration, t...

Baojian Zhou, et al. ∙

research

∙ 06/11/2019

Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Existing hand detection methods usually follow the pipeline of multiple ...

Dan Liu, et al. ∙

research

∙ 06/14/2019

Stochastic Proximal AUC Maximization

In this paper we consider the problem of maximizing the Area under the R...

Yunwen Lei, et al. ∙

research

∙ 10/12/2019

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data

Subjective Logic (SL) is one of well-known belief models that can explic...

Xujiang Zhao, et al. ∙

research

∙ 02/11/2020

ZipPhone: Protecting user location privacy from cellular service providers

Wireless service providers track the time and location of all user conne...

Keen Sung, et al. ∙

research

∙ 02/13/2020

The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version

Graph convolutional networks (GCNs) are a widely used method for graph r...

Abram Magner, et al. ∙

research

∙ 02/25/2020

Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge

Social engineers attempt to manipulate users into undertaking actions su...

Bonnie J. Dorr, et al. ∙

research

∙ 03/16/2020

Multi-Drone based Single Object Tracking with Agent Sharing Network

Drone equipped with cameras can dynamically track the target in the air ...

Pengfei Zhu, et al. ∙

research

∙ 04/20/2020

The Panacea Threat Intelligence and Active Defense Platform

We describe Panacea, a system that supports natural language processing ...

Adam Dalton, et al. ∙

research

∙ 05/07/2020

Non-Orthogonal Multiple Access for Hybrid VLC-RF Networks with Imperfect Channel State Information

The present contribution proposes a general framework for the energy eff...

Ahmed Al Hammadi, et al. ∙

research

∙ 06/19/2020

New Insights into Learning with Correntropy Based Regression

Stemming from information-theoretic learning, the correntropy criterion ...

Yunlong Feng, et al. ∙

research

∙ 06/23/2020

Modeling Knowledge Acquisition from Multiple Learning Resource Types

Students acquire knowledge as they interact with a variety of learning m...

Siqian Zhao, et al. ∙

research

∙ 06/30/2020

Predicting Sample Collision with Neural Networks

Many state-of-art robotics applications require fast and efficient motio...

Tuan Tran, et al. ∙

research

∙ 07/29/2020

Predictive Probability Path Planning Model For Dynamic Environments

Path planning in dynamic environments is essential to high-risk applicat...

Sourav Dutta, et al. ∙

research

∙ 02/03/2022

Proofs and Supplementary Material: Unified Characterization and Precoding for Non-Stationary Channels

This document provides the supplementary material including a comprehens...

Zhibin Zou, et al. ∙

research

∙ 03/01/2022

A Lattice-Theoretic Perspective on the Persistence Map

We provide a naturally isomorphic description of the persistence map fro...

Brendan Mallery, et al. ∙

research

∙ 03/28/2022

AUC Maximization in the Era of Big Data and AI: A Survey

Area under the ROC curve, a.k.a. AUC, is a measure of choice for assessi...

Tianbao Yang, et al. ∙

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