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Sarwan Ali
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2020 – today
- 2024
- [j18]Zahra Tayebi, Sarwan Ali
, Taslim Murad, Imdadullah Khan
PseAAC2Vec protein encoding for TCR protein sequence classification. Comput. Biol. Medicine 170: 107956 (2024) - [j17]Sarwan Ali
Molecular sequence classification using efficient kernel based embedding. Inf. Sci. 679: 121100 (2024) - [j16]Muhammad Sohaib Ayub
CAMP: A context-aware cricket players performance metric. J. Oper. Res. Soc. 75(6): 1140-1156 (2024) - [j15]Sarwan Ali
Elliptic geometry-based kernel matrix for improved biological sequence classification. Knowl. Based Syst. 304: 112479 (2024) - [j14]Sarwan Ali
From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical Biol. Eng. Comput. 62(8): 2449-2483 (2024) - [j13]Sarwan Ali, Muhammad Ahmad, Maham Anwer Beg, Imdadullah Khan, Safiullah Faizullah, Muhammad Asad Khan:
SsAG: Summarization and Sparsification of Attributed Graphs. ACM Trans. Knowl. Discov. Data 18(6): 141:1-141:22 (2024) - [c33]Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson:
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. ISBRA (1) 2024: 52-62 - [c32]Sarwan Ali, Tamkanat E. Ali
A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. PKDD (4) 2024: 194-206 - [c31]Taslim Murad, Sarwan Ali, Murray Patterson:
Weighted Chaos Game Representation for Molecular Sequence Classification. PKDD (4) 2024: 234-245 - [i39]Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson:
A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis. CoRR abs/2402.08117 (2024) - [i38]Sarwan Ali, Pablo Moscato:
A Memetic Algorithm To Find a Hamiltonian Cycle in a Hamiltonian Graph. CoRR abs/2403.07886 (2024) - [i37]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting. CoRR abs/2403.19844 (2024) - [i36]Sarwan Ali, Prakash Chourasia, Bipin Koirala, Murray Patterson:
Nearest Neighbor CCP-Based Molecular Sequence Analysis. CoRR abs/2409.04922 (2024) - [i35]Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson:
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images. CoRR abs/2409.06694 (2024) - 2023
- [j12]Haris Mansoor
Short-Term Load Forecasting Using AMI Data. IEEE Internet Things J. 10(24): 22040-22050 (2023) - [j11]Sarwan Ali, Babatunde Bello, Zahra Tayebi, Murray Patterson
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location. J. Comput. Biol. 30(4): 432-445 (2023) - [j10]Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. J. Comput. Biol. 30(4): 469-491 (2023) - [j9]Sarwan Ali
ViralVectors: compact and scalable alignment-free virome feature generation. Medical Biol. Eng. Comput. 61(10): 2607-2626 (2023) - [j8]Taslim Murad, Sarwan Ali
Spike2CGR: an efficient method for spike sequence classification using chaos game representation. Mach. Learn. 112(10): 3633-3658 (2023) - [j7]Sarwan Ali
Efficient Approximate Kernel Based Spike Sequence Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3376-3388 (2023) - [j6]Zohair Raza Hassan
Computing Graph Descriptors on Edge Streams. ACM Trans. Knowl. Discov. Data 17(8): 112:1-112:25 (2023) - [c30]Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson:
Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. IEEE Big Data 2023: 1429-1437 - [c29]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson:
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL 2023: 6-18 - [c28]Mansoor Ahmed
Robust Brain Age Estimation via Regression Models and MRI-Derived Features. ICCCI (CCIS Volume) 2023: 661-674 - [c27]Sarwan Ali, Prakash Chourasia, Murray Patterson:
When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. Tiny Papers @ ICLR 2023 - [c26]Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson:
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. ICONIP (10) 2023: 215-227 - [c25]Sarwan Ali, Taslim Murad, Murray Patterson:
PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification. IJCNN 2023: 1-8 - [c24]Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson:
Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. IJCNN 2023: 1-8 - [c23]Sarwan Ali:
Information We Can Extract About a User from 'One Minute Mobile Application Usage'. INFOCOM Workshops 2023: 1-6 - [c22]Taslim Murad, Sarwan Ali, Murray Patterson:
A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. INNS DLIA@IJCNN 2023: 666-675 - [c21]Sarwan Ali, Pin-Yu Chen, Murray Patterson:
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA 2023: 1-15 - [c20]Sarwan Ali, Usama Sardar, Imdadullah Khan
Efficient Sequence Embedding for SARS-CoV-2 Variants Classification. ISBRA 2023: 16-30 - [c19]Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub, Muhammad Shoaib, Khurram Bashir, Imdadullah Khan, Murray Patterson:
Sequence-Based Nanobody-Antigen Binding Prediction. ISBRA 2023: 227-240 - [c18]Sarwan Ali, Prakash Chourasia, Murray Patterson:
PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. ISBRA 2023: 376-386 - [c17]Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson:
Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. ISBRA 2023: 387-397 - [c16]Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson:
Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. ISBRA 2023: 442-452 - [c15]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration for Bioinformatics-Based Machine Learning. KDH@IJCAI 2023 - [c14]Sarwan Ali, Usama Sardar
BioSequence2Vec: Efficient Embedding Generation for Biological Sequences. PAKDD (2) 2023: 173-185 - [i34]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration For Bioinformatics-Based Machine Learning. CoRR abs/2302.00347 (2023) - [i33]Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. CoRR abs/2302.08688 (2023) - [i32]Taslim Murad, Sarwan Ali, Murray Patterson:
Exploring The Potential Of GANs In Biological Sequence Analysis. CoRR abs/2303.02421 (2023) - [i31]Sarwan Ali, Usama Sardar, Murray Patterson, Imdadullah Khan:
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences. CoRR abs/2304.00291 (2023) - [i30]Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson:
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation. CoRR abs/2304.02891 (2023) - [i29]Sarwan Ali, Taslim Murad, Murray Patterson:
PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification. CoRR abs/2304.06731 (2023) - [i28]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan
Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR abs/2304.12328 (2023) - [i27]Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson:
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. CoRR abs/2304.13145 (2023) - [i26]Mansoor Ahmed, Usama Sardar, Sarwan Ali, Shafiq Alam, Murray Patterson, Imdadullah Khan:
Robust Brain Age Estimation via Regression Models and MRI-derived Features. CoRR abs/2306.05514 (2023) - [i25]Muhammad Sohaib Ayub, Naimat Ullah, Sarwan Ali, Imdadullah Khan, Mian Muhammad Awais, Muhammad Asad Khan, Safiullah Faizullah:
CAMP: A Context-Aware Cricket Players Performance Metric. CoRR abs/2307.13700 (2023) - [i24]Usama Sardar
Sequence-Based Nanobody-Antigen Binding Prediction. CoRR abs/2308.01920 (2023) - [i23]Sarwan Ali:
Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information. CoRR abs/2309.11294 (2023) - 2022
- [j5]Sarwan Ali
Efficient analysis of COVID-19 clinical data using machine learning models. Medical Biol. Eng. Comput. 60(7): 1881-1896 (2022) - [c13]Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson:
Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. ACML 2022: 754-769 - [c12]Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. IEEE Big Data 2022: 101-106 - [c11]Sarwan Ali:
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model. IEEE Big Data 2022: 5182-5188 - [c10]Sarwan Ali, Muhammad Ahmad, Umair ul Hassan, Muhammad Asad Khan, Shafiq Alam
Efficient Data Analytics on Augmented Similarity Triplets. IEEE Big Data 2022: 5871-5880 - [c9]Haris Mansoor, Sarwan Ali, Shafiq Alam
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. IEEE Big Data 2022: 5988-5997 - [c8]Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson:
Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. BigDataService 2022: 81-88 - [c7]Sarwan Ali
PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification. ICONIP (7) 2022: 420-432 - [i22]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson:
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. CoRR abs/2201.02273 (2022) - [i21]Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy, Pin-Yu Chen, Murray Patterson:
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. CoRR abs/2207.08898 (2022) - [i20]Sarwan Ali:
Information We Can Extract About a User From 'One Minute Mobile Application Usage'. CoRR abs/2207.13222 (2022) - [i19]Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan, Alexander Zelikovsky, Imdadullah Khan
Efficient Approximate Kernel Based Spike Sequence Classification. CoRR abs/2209.04952 (2022) - [i18]Haris Mansoor, Sarwan Ali, Shafiq Alam
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. CoRR abs/2211.00783 (2022) - [i17]Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson:
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. CoRR abs/2211.08267 (2022) - [i16]Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. CoRR abs/2211.09263 (2022) - [i15]Sarwan Ali:
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model. CoRR abs/2211.10546 (2022) - 2021
- [j4]Zahra Tayebi, Sarwan Ali
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. Algorithms 14(12): 348 (2021) - [j3]Sarwan Ali
Simpler and Faster Development of Tumor Phylogeny Pipelines. J. Comput. Biol. 28(11): 1142-1155 (2021) - [j2]Sarwan Ali
Predicting Attributes of Nodes Using Network Structure. ACM Trans. Intell. Syst. Technol. 12(2): 21:1-21:23 (2021) - [c6]Sarwan Ali, Murray Patterson
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. IEEE BigData 2021: 1533-1540 - [c5]Prakash Chourasia
Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. ICCABS 2021: 133-148 - [c4]Sarwan Ali
A k-mer Based Approach for SARS-CoV-2 Variant Identification. ISBRA 2021: 153-164 - [i14]Sarwan Ali:
Cache Replacement Algorithm. CoRR abs/2107.14646 (2021) - [i13]Sarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan:
A k-mer Based Approach for SARS-CoV-2 Variant Identification. CoRR abs/2108.03465 (2021) - [i12]Sarwan Ali, Tamkanat E. Ali, Muhammad Asad Khan, Imdadullah Khan
Effective and scalable clustering of SARS-CoV-2 sequences. CoRR abs/2108.08143 (2021) - [i11]Sarwan Ali, Murray Patterson:
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. CoRR abs/2109.05019 (2021) - [i10]Inaam Ul Hassan, Abdul Haseeb, Sarwan Ali:
Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3). CoRR abs/2109.08774 (2021) - [i9]Sarwan Ali, Babatunde Bello, Murray Patterson:
Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning. CoRR abs/2110.00809 (2021) - [i8]Sarwan Ali, Yijing Zhou, Murray Patterson:
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models. CoRR abs/2110.09606 (2021) - [i7]Zahra Tayebi, Sarwan Ali, Murray Patterson:
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. CoRR abs/2110.09622 (2021) - 2020
- [j1]Muhammad Ahmad
Combinatorial trace method for network immunization. Inf. Sci. 519: 215-228 (2020) - [c3]Asad Ullah, Sarwan Ali
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal. IntelliSys (3) 2020: 400-415 - [c2]Sarwan Ali
Fair Allocation Based Soft Load Shedding. IntelliSys (2) 2020: 407-424 - [i6]Asad Ullah, Sarwan Ali
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal. CoRR abs/2002.00461 (2020)
2010 – 2019
- 2019
- [c1]Sarwan Ali
Short Term Load Forecasting using Smart Meter Data. e-Energy 2019: 419-421 - [i5]Muhammad Ahmad, Muhammad Haroon Shakeel, Sarwan Ali, Imdadullah Khan
Efficient Data Analytics on Augmented Similarity Triplets. CoRR abs/1912.12064 (2019) - [i4]Muhammad Ahmad, Sarwan Ali, Juvaria Tariq, Imdadullah Khan, Mudassir Shabbir, Arif Zaman:
Combinatorial Trace Method for Network Immunization. CoRR abs/1912.12070 (2019) - [i3]Abdullah M. Alshanqiti, Safi Faizullah, Sarwan Ali
Detecting DDoS Attack on SDN Due to Vulnerabilities in OpenFlow. CoRR abs/1912.12221 (2019) - [i2]Sarwan Ali
Predicting Attributes of Nodes Using Network Structure. CoRR abs/1912.12264 (2019) - [i1]Sarwan Ali
Hour-Ahead Load Forecasting Using AMI Data. CoRR abs/1912.12479 (2019)
Coauthor Index
[j18] [j17] [j15] [j14] [c33] [c32] [c31] [i39] [i37] [i36] [i35] [j11] [j10] [j9] [j8] [j7] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [j5] [c13] [c12] [c8] [c7] [i22] [i21] [i19] [i17] [i16] [j4] [j3] [c6] [c5] [c4] [i13] [i12] [i11] [i9] [i8] [i7]
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last updated on 2024-10-22 20:13 CEST by the dblp team
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