Mohammad Al Hasan

Orcid: 0000-0002-8279-1023

According to our database1, Mohammad Al Hasan authored at least 121 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unsupervised hypernymy directionality prediction using context terms.
Nat. Lang. Process. J., 2024

Real-time crop row detection using computer vision- application in agricultural robots.
Frontiers Artif. Intell., 2024

Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
CIKM 2022 Conference Report.
SIGWEB Newsl., 2023

ASPER: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context.
Nat. Lang. Process. J., 2023

Robust Node Representation Learning via Graph Variational Diffusion Networks.
CoRR, 2023

A Semi-Automatic Knowledge Discovery Tool to Identify and Visualize Course Bottlenecks.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Force-directed graph embedding with hops distance.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Reliability Maximization in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2022

How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
Neural Process. Lett., 2022

Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns.
J. Heal. Informatics Res., 2022

ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction.
CoRR, 2022

Deperturbation of Online Social Networks via Bayesian Label Transition.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Semantic Segmentation Approaches in Crop Row Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning network event sequences using long short-term memory and second-order statistic loss.
Stat. Anal. Data Min., 2021

Improving the Robustness of Object Detection Through a Multi-Camera-Based Fusion Algorithm Using Fuzzy Logic.
Frontiers Artif. Intell., 2021

RASMA: a reverse search algorithm for mining maximal frequent subgraphs.
BioData Min., 2021

Non-exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Deep Learning based Crop Row Detection with Online Domain Adaptation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Real-time Detection of the More is Less Performance Anti-Pattern in MySQL Databases.
Proceedings of the 24th IEEE International Symposium on Real-Time Distributed Computing, 2021

Group Link Prediction Using Conditional Variational Autoencoder.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Reliability Maximization in Uncertain Graphs (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Source detection on networks using spatial temporal graph convolutional networks.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
The Role of Graphlets in Viral Processes on Networks.
J. Nonlinear Sci., 2020

Anti-perturbation of Online Social Networks by Graph Label Transition.
CoRR, 2020

Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives.
Proceedings of the Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media, 2020

Automated Corn Ear Height Prediction Using Video-Based Deep Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Interpretable Hawkes Process Spatial Crime Forecasting with TV-Regularization.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Android Malware Detection via Graphlet Sampling.
IEEE Trans. Mob. Comput., 2019

Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins Using Frequent Subgraph Mining.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding.
Data Sci. Eng., 2019

Budgeted Reliability Maximization in Uncertain Graphs.
CoRR, 2019

Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction.
CoRR, 2019

Characteristics of Bitcoin Transactions on Cryptomarkets.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2019

Triangle Completion Time Prediction Using Time-Conserving Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Network Alignment Using Graphlet Signature and High Order Proximity.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Lighter U-net for segmenting white matter hyperintensities in MR images.
Proceedings of the MobiQuitous 2019, 2019

Investigate Transitions into Drug Addiction through Text Mining of Reddit Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Group Link Prediction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Into the Reverie: Exploration of the Dream Market.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Neural-brane: an inductive approach for attributed network embedding.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Triangle counting in large networks: a review.
WIREs Data Mining Knowl. Discov., 2018

Predicting <i>interval time</i> for reciprocal link creation using survival analysis.
Soc. Netw. Anal. Min., 2018

Incremental eigenpair computation for graph Laplacian matrices: theory and applications.
Soc. Netw. Anal. Min., 2018

GPU Accelerated Browser for Neuroimaging Genomics.
Neuroinformatics, 2018

Special Issue Editorial.
Data Sci. Eng., 2018

Representing Graphs as Bag of Vertices and Partitions for Graph Classification.
Data Sci. Eng., 2018

Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes.
CoRR, 2018

DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks.
CoRR, 2018

A Combined Representation Learning Approach for Better Job and Skill Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Predicting Virality on Networks Using Local Graphlet Frequency Distribution.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Feature Selection for Classification under Anonymity Constraint.
Trans. Data Priv., 2017

Bayesian Non-Exhaustive Classification for Active Online Name Disambiguation.
CoRR, 2017

Name Entity Disambiguation in Anonymized Graphs using Link Analysis: A Network Embedding based Solution.
CoRR, 2017

Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Name Disambiguation in Anonymized Graphs using Network Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Regularized and Retrofitted models for Learning Sentence Representation with Context.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A distributed k-core decomposition algorithm on spark.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

E-CLoG: Counting edge-centric local graphlets.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

RAVEN: Web-based smart home exploration system through interactive pattern discovery.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Interactive knowledge discovery from hidden data through sampling of frequent patterns.
Stat. Anal. Data Min., 2016

Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR, 2016

Dis-S2V: Discourse Informed Sen2Vec.
CoRR, 2016

Link Prediction in Dynamic Networks Using Graphlet.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Waiting to Be Sold: Prediction of Time-Dependent House Selling Probability.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

ACTS: Extracting Android App topologiCal signature through graphleT Sampling.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Interactive personalized interesting pattern discovery.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

PRIIME: A generic framework for interactive personalized interesting pattern discovery.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm.
IEEE Trans. Knowl. Data Eng., 2015

Name disambiguation from link data in a collaboration graph using temporal and topological features.
Soc. Netw. Anal. Min., 2015

FS<sup>3</sup>: A sampling based method for top-<i>k</i> frequent subgraph mining.
Stat. Anal. Data Min., 2015

Feature Selection for Classification under Anonymity Constraint.
CoRR, 2015

Incremental Method for Spectral Clustering of Increasing Orders.
CoRR, 2015

TopCom: Index for Shortest Distance Query in Directed Graph.
Proceedings of the Database and Expert Systems Applications, 2015

Finding Network Motifs Using MCMC Sampling.
Proceedings of the Complex Networks VI, 2015

Batch-mode active learning for technology-assisted review.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Graft: An Efficient Graphlet Counting Method for Large Graph Analysis.
IEEE Trans. Knowl. Data Eng., 2014

GUISE: a uniform sampler for constructing frequency histogram of graphlets.
Knowl. Inf. Syst., 2014

FS^3: A Sampling based method for top-k Frequent Subgraph Mining.
CoRR, 2014

Sampling Triples from Restricted Networks using MCMC Strategy.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

FS<sup>3</sup>: A sampling based method for top-k frequent subgraph mining.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

FSM-H: Frequent Subgraph Mining Algorithm in Hadoop.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Name disambiguation from link data in a collaboration graph.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Frequent Pattern Mining Algorithms: A Survey.
Proceedings of the Frequent Pattern Mining, 2014

Discrete Sequence Clustering.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
MIRAGE: An Iterative MapReduce based FrequentSubgraph Mining Algorithm.
CoRR, 2013

Auto-constructing dataflow models from system execution traces.
Proceedings of the 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2013

Characterization of the dynamics and interactions of domain names and name server.
Proceedings of the IEEE Conference on Communications and Network Security, 2013

On segmentation of eCommerce queries.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Approximate triangle counting algorithms on multi-cores.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Clustering Biological Data.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Biological knowledge discovery and data mining.
Sci. Program., 2012

GUISE: Uniform Sampling of Graphlets for Large Graph Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

GRAFT: an approximate graphlet counting algorithm for large graph analysis.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Interactive pattern mining on hidden data: a sampling-based solution.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
SimClus: an effective algorithm for clustering with a lower bound on similarity.
Knowl. Inf. Syst., 2011

Query suggestion for E-commerce sites.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

A Survey of Link Prediction in Social Networks.
Proceedings of the Social Network Data Analytics, 2011

2010
Mining interesting subgraphs by output space sampling.
SIGKDD Explor., 2010

SONNET: Efficient Approximate Nearest Neighbor Using Multi-core.
Proceedings of the ICDM 2010, 2010

2009
Summarization in Pattern Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Mining interesting subgraphs by output space sampling.
PhD thesis, 2009

Output Space Sampling for Graph Patterns.
Proc. VLDB Endow., 2009

Robust partitional clustering by outlier and density insensitive seeding.
Pattern Recognit. Lett., 2009

SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters.
Knowl. Inf. Syst., 2009

MUSK: Uniform Sampling of k Maximal Patterns.
Proceedings of the SIAM International Conference on Data Mining, 2009

Clustering with Lower Bound on Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

COA: finding novel patents through text analysis.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns.
Stat. Anal. Data Min., 2008

Optimal placement of stereo sensors.
Optim. Lett., 2008

An integrated, generic approach to pattern mining: data mining template library.
Data Min. Knowl. Discov., 2008

SPARCL: Efficient and Effective Shape-Based Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
ORIGAMI: Mining Representative Orthogonal Graph Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Assessing patent value through advanced text analysis.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Law, 2007

2005
Towards Generic Pattern Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005


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