Mahmud Shahriar Hossain

Orcid: 0009-0003-9277-5283

Affiliations:
  • University of Texas at El Paso, USA


According to our database1, Mahmud Shahriar Hossain authored at least 47 papers between 2007 and 2024.

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Timeline

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Bibliography

2024
Context-Aware Temporal Embedding of Objects in Video Data.
CoRR, 2024

A Mixture of Experts in Forecasting Student Performance in Classroom Programming Activities.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Temporal word embedding with predictive capability.
Knowl. Inf. Syst., December, 2023

Automatic Data Generation and Rule Creation for Network Scanning Tools.
Proceedings of the Future Technologies Conference, 2023

2022
Human Mobility Driven Modeling of an Infectious Disease.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
Repeatable Experimentation for Cybersecurity Moving Target Defense.
Proceedings of the Security and Privacy in Communication Networks, 2021

Diffusion-based Temporal Word Embeddings.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020
A vulnerability analysis and prediction framework.
Comput. Secur., 2020

VizObj2Vec: Contextual Representation Learning for Visual Objects in Video-frames.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
F2ConText: how to extract holistic contexts of persons of interest for enhancing exploratory analysis.
Knowl. Inf. Syst., 2019

Analyzing evolving stories in news articles.
Int. J. Data Sci. Anal., 2019

2018
Tracking the Evolution of Words with Time-reflective Text Representations.
CoRR, 2018

Analyzing Evolving Trends of Vulnerabilities in National Vulnerability Database.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Tracking the Evolution of Words with Time-reflective Text Representations.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Reconstructing and evolving software architectures using a coordinated clustering framework.
Autom. Softw. Eng., 2017

Enhancing Yelp Data with Deep Learning and Information Reuse.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

A scalable model for tracking topical evolution in large document collections.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Is a Picture Worth Ten Thousand Words in a Review Dataset?
CoRR, 2016

Contextual Embedding for Distributed Representations of Entities in a Text Corpus.
Proceedings of the 5th International Workshop on Big Data, 2016

Encoding Lineage in Scholarly Articles.
Proceedings of the Scholarly Big Data: AI Perspectives, 2016

Connecting the Dots Using Contextual Information Hidden in Text and Images.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Concurrent Inference of Topic Models and Distributed Vector Representations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
Charging and Storage Infrastructure Design for Electric Vehicles.
ACM Trans. Intell. Syst. Technol., 2014

AutoLCA: A Framework for Sustainable Redesign and Assessment of Products.
ACM Trans. Intell. Syst. Technol., 2014

The human is the loop: new directions for visual analytics.
J. Intell. Inf. Syst., 2014

2013
How to "alternatize" a clustering algorithm.
Data Min. Knowl. Discov., 2013

Probability-one homotopy maps for tracking constrained clustering solutions.
Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013

How analysts cognitively "connect the dots".
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

2012
Exploratory Data Analysis using Clusters and Stories.
PhD thesis, 2012

Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results.
IEEE Trans. Vis. Comput. Graph., 2012

Narratives in the Network: Interactive Methods for Mining Cell Signaling Networks.
J. Comput. Biol., 2012

Discovering the Ebb and Flow of Ideas from Text Corpora.
Computer, 2012

Coordinated clustering algorithms to support charging infrastructure design for electric vehicles.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Storytelling in entity networks to support intelligence analysts.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Evaluation
CoRR, 2011

Agent Based Processing of Global Evaluation Function
CoRR, 2011

Triangular Dynamic Architecture for Distributed Computing in a LAN Environment
CoRR, 2011

Load Balancing in a Networked Environment through Homogenization
CoRR, 2011

Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Analyst's workspace: Protecting vastopolis.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

Helping Intelligence Analysts Make Connections.
Proceedings of the Scalable Integration of Analytics and Visualization, 2011

2010
Efficiently Discovering Hammock Paths from Induced Similarity Networks
CoRR, 2010

Unifying dependent clustering and disparate clustering for non-homogeneous data.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Storytelling and Clustering for Cellular Signaling Pathways.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009

2007
Sense based organization of descriptive data.
Proceedings of the IEEE International Conference on Systems, 2007

Algorithm for Interpretation of Multi-valued Taxonomic Attributes in Similarity-Based Fuzzy Databases.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

GDClust: A Graph-Based Document Clustering Technique.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007


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