Usman Roshan

Affiliations:
  • New Jersey Institute of Technology, Newark, USA


According to our database1, Usman Roshan authored at least 50 papers between 2001 and 2024.

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Bibliography

2024
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble.
CoRR, 2024

2023
Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

An AI system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime with performative feedback.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Defense Against Adversarial Attacks Based on Stochastic Descent Sign Activation Networks on Medical Images.
Int. J. Pattern Recognit. Artif. Intell., 2022

2020
High scoring segment selection for pairwise whole genome sequence alignment with the maximum scoring subsequence and GPUs.
Int. J. Comput. Biol. Drug Des., 2020

Defending against substitute model black box adversarial attacks with the 01 loss.
CoRR, 2020

Robust binary classification with the 01 loss.
CoRR, 2020

On the transferability of adversarial examples between convex and 01 loss models.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Towards adversarial robustness with 01 loss neural networks.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Classification of Histopathology Images with Random Depthwise Convolutional Neural Networks.
Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020

Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Vessel lumen segmentation in carotid artery ultrasounds with the U-Net convolutional neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Challenges in predicting glioma survival time in multi-modal deep networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images.
CoRR, 2019

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images.
CoRR, 2019

Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2019

Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights.
Proceedings of the Advances in Computational Intelligence, 2019

Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Brain Tumor Classification with Tumor Segmentations and a Dual Path Residual Convolutional Neural Network from MRI and Pathology Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

A Multi-path Decoder Network for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Multi-path convolutional neural network for glioblastoma survival group prediction with point mutations and demographic features.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Statistically Rigorous Testing of Clustering Implementations.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018
Random depthwise signed convolutional neural networks.
CoRR, 2018

Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute.
Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

2016
Cross-validation and cross-study validation of chronic lymphocytic leukaemia with exome sequences and machine learning.
Int. J. Data Min. Bioinform., 2016

2015
Prediction of Continuous Phenotypes in Mouse, Fly, and Rice Genome Wide Association Studies with Support Vector Regression SNPs and Ridge Regression Classifier.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Cross-validation and cross-study validation of chronic lymphocytic leukemia with exome sequences and machine learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Top-k Parametrized Boost.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

Weighted Maximum Variance Dimensionality Reduction.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

2010
PLAST-ncRNA: Partition function Local Alignment Search Tool for non-coding RNA sequences.
Nucleic Acids Res., 2010

2008
Searching for evolutionary distant RNA homologs within genomic sequences using partition function posterior probabilities.
BMC Bioinform., 2008

2007
eProbalign: generation and manipulation of multiple sequence alignments using partition function posterior probabilities.
Nucleic Acids Res., 2007

Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study analyzing the neurotransmitter/Na<sup>+ </sup>symporter family.
BMC Bioinform., 2007

2006
PRec-I-DCM3: a parallel framework for fast and accurate large-scale phylogeny reconstruction.
Int. J. Bioinform. Res. Appl., 2006

Probalign: multiple sequence alignment using partition function posterior probabilities.
Bioinform., 2006

Computational Grand Challenges in Assembling the Tree of Life: Problems and Solutions.
Adv. Comput., 2006

Improving progressive alignment for phylogeny reconstruction using parsimonious guide-trees.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005
Reconstruction of large phylogenetic trees: A parallel approach.
Comput. Biol. Chem., 2005

Parallel Divide-and-Conquer Phylogeny Reconstruction by Maximum Likelihood.
Proceedings of the High Performance Computing and Communications, 2005

Improved Phylogenetic Motif Detection Using Parsimony.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004
Rec-I-DCM3: A Fast Algorithmic Technique for Reconstructing Large Phylogenetic Trees.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003
Diametrical clustering for identifying anti-correlated gene clusters.
Bioinform., 2003

2002
Estimating the Deviation from a Molecular Clock.
Proceedings of the Algorithms in Bioinformatics, Second International Workshop, 2002

Sequence-Length Requirements for Phylogenetic Methods.
Proceedings of the Algorithms in Bioinformatics, Second International Workshop, 2002

The Accuracy of Fast Phylogenetic Methods for Large Datasets.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

2001
The Performance of Phylogenetic Methods on Trees of Bounded Diameter.
Proceedings of the Algorithms in Bioinformatics, First International Workshop, 2001

Designing fast converging phylogenetic methods.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001


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