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07/14/2023
Decomposition Based Refinement for the Network Interdiction Problem
The shortest path network interdiction (SPNI) problem poses significant ...
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06/05/2023
Literature-based Discovery for Landscape Planning
This project demonstrates how medical corpus hypothesis generation, a kn...
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04/15/2023
Learning To Optimize Quantum Neural Network Without Gradients
Quantum Machine Learning is an emerging sub-field in machine learning wh...
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10/18/2022
Towards Practical Explainability with Cluster Descriptors
With the rapid development of machine learning, improving its explainabi...
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09/07/2022
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation
One of the key problems in tensor network based quantum circuit simulati...
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04/30/2022
Quantum Approximate Optimization Algorithm with Sparsified Phase Operator
The Quantum Approximate Optimization Algorithm (QAOA) is a promising can...
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04/28/2022
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms
Barren plateaus are a notorious problem in the optimization of variation...
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01/17/2022
Proactive Query Expansion for Streaming Data Using External Source
Query expansion is the process of reformulating the original query by ad...
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11/17/2021
CONFAIR: Configurable and Interpretable Algorithmic Fairness
The rapid growth of data in the recent years has led to the development ...
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02/22/2021
Coping with Mistreatment in Fair Algorithms
Machine learning actively impacts our everyday life in almost all endeav...
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02/10/2021
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers
Combinatorial optimization on near-term quantum devices is a promising p...
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02/10/2021
Accelerating COVID-19 research with graph mining and transformer-based learning
In 2020, the White House released the, "Call to Action to the Tech Commu...
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12/08/2020
Classical symmetries and QAOA
We study the relationship between the Quantum Approximate Optimization A...
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11/18/2020
Accelerating Text Mining Using Domain-Specific Stop Word Lists
Text preprocessing is an essential step in text mining. Removing words t...
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11/05/2020
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines
The support vector machines (SVM) is one of the most widely used and pra...
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03/18/2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Graph representation learning based on graph neural networks (GNNs) can ...
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03/02/2020
Recent Advances in Scalable Network Generation
Random graph models are frequently used as a controllable and versatile ...
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02/13/2020
CBAG: Conditional Biomedical Abstract Generation
Biomedical research papers use significantly different language and jarg...
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02/13/2020
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
Medical research is risky and expensive. Drug discovery, as an example, ...
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11/22/2019
On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware
Many combinatorial scientific computing problems are NP-hard which in pr...
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10/22/2019
Multilevel Combinatorial Optimization Across Quantum Architectures
Emerging quantum processors provide an opportunity to explore new approa...
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09/09/2019
Hypergraph Partitioning With Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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09/09/2019
Partition Hypergraphs with Embeddings
The problem of placing circuits on a chip or distributing sparse matrix ...
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05/27/2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings
Typical graph embeddings may not capture type-specific bipartite graph f...
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02/18/2019
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
We present a topology-based method for mesh-partitioning in three-dimens...
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10/01/2018
Community Detection Across Emerging Quantum Architectures
One of the roadmap plans for quantum computers is an integration within ...
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08/19/2018
Spatio-temporal prediction of crimes using network analytic approach
It is quite evident that majority of the population lives in urban area ...
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08/19/2018
Spatio-temproal prediction of crimes using network analytic approach
It is quite evident that majority of the population lives in urban area ...
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04/13/2018
Are Abstracts Enough for Hypothesis Generation?
The potential for automatic hypothesis generation (HG) systems to improv...
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02/26/2018
Multiscale Planar Graph Generation
The study of network representations of physical, biological, and social...
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02/26/2018
Aggregative Coarsening for Multilevel Hypergraph Partitioning
Algorithms for many hypergraph problems, including partitioning, utilize...
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02/11/2018
Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems
Literature underpins research, providing the foundation for new ideas. B...
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10/18/2017
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning
Multilevel partitioning methods that are inspired by principles of multi...
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02/20/2017
MOLIERE: Automatic Biomedical Hypothesis Generation System
Hypothesis generation is becoming a crucial time-saving technique which ...
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11/16/2016
Algebraic multigrid support vector machines
The support vector machine is a flexible optimization-based technique wi...
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10/25/2016
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Topic modeling, a method for extracting the underlying themes from a col...
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04/07/2016
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values
This work is motivated by the needs of predictive analytics on healthcar...
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03/21/2015
Fast Imbalanced Classification of Healthcare Data with Missing Values
In medical domain, data features often contain missing values. This can ...
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10/13/2014