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2020 – today
- 2024
[j19]Steven A. Hofmeyr
, Aydin Buluç, Robert Riley, Rob Egan, Oguz Selvitopi, Leonid Oliker, Katherine A. Yelick, Migun Shakya, Brett Youtsey, Ariful Azad:
Exabiome: Advancing Microbial Science through Exascale Computing. Comput. Sci. Eng. 26(2): 8-15 (2024)- [j18]Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner:
A Scalable Method for Readable Tree Layouts. IEEE Trans. Vis. Comput. Graph. 30(2): 1564-1578 (2024) - [c44]Charles Block, Gerasimos Gerogiannis, Charith Mendis, Ariful Azad, Josep Torrellas:
Two-Face: Combining Collective and One-Sided Communication for Efficient Distributed SpMM. ASPLOS (2) 2024: 1200-1217 - [c43]Isuru Ranawaka, Ariful Azad:
Scalable Node Embedding Algorithms Using Distributed Sparse Matrix Operations. IPDPS (Workshops) 2024: 1199-1201 - [c42]Nicholas Majeske, Ariful Azad:
Multi-modal Recurrent Graph Neural Networks for Spatiotemporal Forecasting. PAKDD (2) 2024: 144-157 - [c41]Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad:
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. WWW (Companion Volume) 2024: 778-781 - [c40]Selahattin Akkas, Ariful Azad:
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values. WWW 2024: 827-838 - [i37]Selahattin Akkas, Ariful Azad:
GNNShap: Fast and Accurate GNN Explanations using Shapley Values. CoRR abs/2401.04829 (2024) - [i36]Md Saidul Hoque Anik, Pranav Badhe, Rohit Gampa, Ariful Azad:
iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations. CoRR abs/2403.14853 (2024) - [i35]Md Taufique Hussain, Mahantesh Halappanavar, Samrat Chatterjee, Filippo Radicchi, Santo Fortunato, Ariful Azad:
Parallel Algorithms for Median Consensus Clustering in Complex Networks. CoRR abs/2408.11331 (2024) - [i34]Isuru Ranawaka, Md Taufique Hussain, Charles Block, Gerasimos Gerogiannis, Josep Torrellas, Ariful Azad:
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication. CoRR abs/2408.11988 (2024) - 2023
- [c39]Elaheh Hassani, Md Taufique Hussain, Ariful Azad:
Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra. HPEC 2023: 1-7 - [c38]Isuru Ranawaka, Md. Khaledur Rahman, Ariful Azad:
Distributed Sparse Random Projection Trees for Constructing K-Nearest Neighbor Graphs. IPDPS 2023: 36-46 - [c37]Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki:
22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). KDD 2023: 5897-5898 - [i33]Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç:
Extreme-scale many-against-many protein similarity search. CoRR abs/2303.01845 (2023) - [i32]Kathryn Gray, Mingwei Li, Abu Reyan Ahmed, Md. Khaledur Rahman, Ariful Azad, Stephen G. Kobourov, Katy Börner:
A Scalable Method for Readable Tree Layouts. CoRR abs/2305.09925 (2023) - 2022
- [j17]Nicholas Majeske, Xuesong Zhang, McKailey Sabaj, Lei Gong, Chen Zhu, Ariful Azad:
Inductive predictions of hydrologic events using a Long Short-Term Memory network and the Soil and Water Assessment Tool. Environ. Model. Softw. 152: 105400 (2022) - [j16]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
Scalable force-directed graph representation learning and visualization. Knowl. Inf. Syst. 64(1): 207-233 (2022) - [j15]Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç:
Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems. IEEE Trans. Parallel Distributed Syst. 33(4): 989-1001 (2022) - [c36]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c35]Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad:
Parallel Algorithms for Adding a Collection of Sparse Matrices. IPDPS Workshops 2022: 285-294 - [c34]Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Muaaz G. Awan, Georgios A. Pavlopoulos, Ariful Azad, Nikos Kyrpides, Leonid Oliker, Katherine A. Yelick, Aydin Buluç:
Extreme-Scale Many-against-Many Protein Similarity Search. SC 2022: 1:1-1:12 - [c33]Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad:
MarkovGNN: Graph Neural Networks on Markov Diffusion. WWW (Companion Volume) 2022: 1019-1029 - [c32]Selahattin Akkas, Ariful Azad:
JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning. WWW (Companion Volume) 2022: 1099-1105 - [i31]Md. Khaledur Rahman, Abhigya Agrawal, Ariful Azad:
MarkovGNN: Graph Neural Networks on Markov Diffusion. CoRR abs/2202.02470 (2022) - [i30]Malintha Fernando, Ransalu Senanayake, Ariful Azad, Martin Swany:
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks. CoRR abs/2205.02203 (2022) - [i29]Md. Khaledur Rahman, Ariful Azad:
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy. CoRR abs/2208.03559 (2022) - 2021
- [j14]Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. Data Intell. 3(3): 329-339 (2021) - [j13]Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo:
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35(6): 553-571 (2021) - [j12]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2(12): 100389 (2021) - [j11]Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data 7(1): 38-44 (2021) - [c31]Anuj Godase, Md. Khaledur Rahman, Ariful Azad:
GNNfam: utilizing sparsity in protein family predictions using graph neural networks. BCB 2021: 37:1-37:10 - [c30]Johannes Langguth, Aigars Tumanis, Ariful Azad:
Incremental Clustering Algorithms for Massive Dynamic Graphs. ICDM (Workshops) 2021: 360-369 - [c29]Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad:
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale. IPDPS 2021: 90-100 - [c28]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks. IPDPS 2021: 256-266 - [i28]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR abs/2101.04013 (2021) - [i27]Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg:
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. CoRR abs/2104.02932 (2021) - [i26]Nicholas Majeske, Bidisha Abesh, Chen Zhu, Ariful Azad:
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed. CoRR abs/2104.14658 (2021) - [i25]Ariful Azad, Oguz Selvitopi, Md Taufique Hussain, John R. Gilbert, Aydin Buluç:
Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems. CoRR abs/2106.14402 (2021) - [i24]Md Taufique Hussain, Guttu Sai Abhishek, Aydin Buluç, Ariful Azad:
Parallel Algorithms for Adding a Collection of Sparse Matrices. CoRR abs/2112.10223 (2021) - [i23]Md. Khaledur Rahman, Ariful Azad:
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods. CoRR abs/2112.10372 (2021) - 2020
- [j10]Yongzhe Zhang, Ariful Azad, Aydin Buluç:
Parallel algorithms for finding connected components using linear algebra. J. Parallel Distributed Comput. 144: 14-27 (2020) - [j9]Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth:
A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs. SIAM J. Sci. Comput. 42(4): C143-C168 (2020) - [c27]Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 2020: 14-25 - [c26]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory. PacificVis 2020: 16-25 - [c25]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
Force2Vec: Parallel force-directed graph embedding. ICDM 2020: 442-451 - [c24]Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang:
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC 2020: 216-227 - [c23]Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç:
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. IPDPS 2020: 116-126 - [c22]Yongzhe Zhang, Ariful Azad, Zhenjiang Hu:
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence. PP 2020: 46-57 - [c21]Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç:
Distributed many-to-many protein sequence alignment using sparse matrices. SC 2020: 75 - [c20]Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad:
Bandwidth Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. SPAA 2020: 293-303 - [i22]Katherine A. Yelick, Aydin Buluç, Muaaz G. Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven A. Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker:
The Parallelism Motifs of Genomic Data Analysis. CoRR abs/2001.06989 (2020) - [i21]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
BatchLayout: A Batch-Parallel Force-Directed Graph Layout Algorithm in Shared Memory. CoRR abs/2002.08233 (2020) - [i20]Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç:
Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. CoRR abs/2002.10083 (2020) - [i19]Zhixiang Gu, Jose Moreira, David Edelsohn, Ariful Azad:
Bandwidth-Optimized Parallel Algorithms for Sparse Matrix-Matrix Multiplication using Propagation Blocking. CoRR abs/2002.11302 (2020) - [i18]Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding:
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR abs/2004.01375 (2020) - [i17]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
Force2Vec: Parallel force-directed graph embedding. CoRR abs/2009.10035 (2020) - [i16]Langshi Chen, Jiayu Li, Ariful Azad, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR abs/2009.11665 (2020) - [i15]Oguz Selvitopi, Saliya Ekanayake, Giulia Guidi, Georgios A. Pavlopoulos, Ariful Azad, Aydin Buluç:
Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices. CoRR abs/2009.14467 (2020) - [i14]Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful Azad:
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale. CoRR abs/2010.08526 (2020) - [i13]Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks. CoRR abs/2011.06391 (2020) - [i12]Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. CoRR abs/2012.14065 (2020)
2010 – 2019
- 2019
- [j8]Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç:
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors. Parallel Comput. 90 (2019) - [c19]Md. Khaledur Rahman, Ariful Azad:
Evaluating the Community Structures from Network Images Using Neural Networks. COMPLEX NETWORKS (1) 2019: 866-878 - [c18]Ariful Azad, Aydin Buluç:
LACC: A Linear-Algebraic Algorithm for Finding Connected Components in Distributed Memory. IPDPS 2019: 2-12 - [i11]Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
A GraphBLAS Approach for Subgraph Counting. CoRR abs/1903.04395 (2019) - [i10]Yongzhe Zhang, Ariful Azad, Zhenjiang Hu:
FastSV: A Distributed-Memory Connected Component Algorithm with Fast Convergence. CoRR abs/1910.05971 (2019) - 2018
- [c17]Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh:
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. AISTATS 2018: 1376-1386 - [c16]Ye Chen, Ryan D. Calvert, Ariful Azad, Bartek Rajwa, James Fleet, Timothy Ratliff, Alex Pothen:
Phenotyping Immune Cells in Tumor and Healthy Tissue Using Flow Cytometry Data. BCB 2018: 73-78 - [c15]Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç:
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures. ICPP Workshops 2018: 34:1-34:10 - [c14]Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç:
Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. SPAA 2018: 77-86 - [i9]Ariful Azad, Aydin Buluç, Xiaoye S. Li, Xinliang Wang, Johannes Langguth:
A distributed-memory approximation algorithm for maximum weight perfect bipartite matching. CoRR abs/1801.09809 (2018) - [i8]Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç:
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures. CoRR abs/1804.01698 (2018) - 2017
- [j7]Ariful Azad, Aydin Buluç, Alex Pothen:
Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting. IEEE Trans. Parallel Distributed Syst. 28(1): 44-59 (2017) - [c13]Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng:
The Reverse Cuthill-McKee Algorithm in Distributed-Memory. IPDPS 2017: 22-31 - [c12]Ariful Azad, Aydin Buluç:
A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm. IPDPS 2017: 688-697 - [c11]Ariful Azad, Aydin Buluç:
Towards a GraphBLAS Library in Chapel. IPDPS Workshops 2017: 1095-1104 - [i7]Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick:
Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning. CoRR abs/1710.10769 (2017) - [i6]Amir Gholami, Ariful Azad, Kurt Keutzer, Aydin Buluç:
Integrated Model and Data Parallelism in Training Neural Networks. CoRR abs/1712.04432 (2017) - 2016
- [j6]Ariful Azad, Bartek Rajwa, Alex Pothen:
flowVS: channel-specific variance stabilization in flow cytometry. BMC Bioinform. 17: 291 (2016) - [j5]Ariful Azad, Aydin Buluç:
A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs. Parallel Comput. 58: 117-130 (2016) - [j4]Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams:
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. SIAM J. Sci. Comput. 38(6) (2016) - [c10]Ariful Azad, Aydin Buluç:
Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs. IPDPS 2016: 32-42 - [c9]Penporn Koanantakool, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Sang-Yun Oh, Leonid Oliker, Katherine A. Yelick:
Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication. IPDPS 2016: 842-853 - [i5]Ariful Azad, Aydin Buluç:
A work-efficient parallel sparse matrix-sparse vector multiplication algorithm. CoRR abs/1610.07902 (2016) - [i4]Ariful Azad, Mathias Jacquelin, Aydin Buluç, Esmond G. Ng:
The Reverse Cuthill-McKee Algorithm in Distributed-Memory. CoRR abs/1610.08128 (2016) - 2015
- [j3]Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan:
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer 48(8): 46-55 (2015) - [c8]Ariful Azad, Aydin Buluç:
Distributed-Memory Algorithms for Maximal Cardinality Matching Using Matrix Algebra. CLUSTER 2015: 398-407 - [c7]Ariful Azad, Aydin Buluç, John R. Gilbert:
Parallel Triangle Counting and Enumeration Using Matrix Algebra. IPDPS Workshops 2015: 804-811 - [c6]Ariful Azad, Aydin Buluç, Alex Pothen:
A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs. IPDPS 2015: 1075-1084 - [i3]Ariful Azad:
An Algorithmic Pipeline for Analyzing Multi-parametric Flow Cytometry Data. CoRR abs/1501.03461 (2015) - [i2]Ariful Azad, Grey Ballard, Aydin Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams:
Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. CoRR abs/1510.00844 (2015) - 2014
- [j2]Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne:
On parallel push-relabel based algorithms for bipartite maximum matching. Parallel Comput. 40(7): 289-308 (2014) - [i1]Ariful Azad, Bartek Rajwa, Alex Pothen:
Immunophenotypes of Acute Myeloid Leukemia From Flow Cytometry Data Using Templates. CoRR abs/1403.6358 (2014) - 2013
- [c5]Ariful Azad, Arif M. Khan, Bartek Rajwa, Saumyadipta Pyne, Alex Pothen:
Classifying Immunophenotypes With Templates From Flow Cytometry. BCB 2013: 256 - 2012
- [j1]Ariful Azad, Saumyadipta Pyne, Alex Pothen:
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry. BMC Bioinform. 13(S-2): S10 (2012) - [c4]Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen:
Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs. IPDPS 2012: 860-872 - [c3]Ariful Azad, Alex Pothen:
Multithreaded Algorithms for Matching in Graphs with Application to Data Analysis in Flow Cytometry. IPDPS Workshops 2012: 2494-2497 - 2011
- [c2]Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen:
Computing maximum matching in parallel on bipartite graphs: worth the effort? IA3@SC 2011: 11-14 - 2010
- [c1]Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen:
Identifying Rare Cell Populations in Comparative Flow Cytometry. WABI 2010: 162-175
Coauthor Index
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