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Farhan Riaz
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2020 – today
- 2024
- [j25]Marva Touheed, Urooj Zubair, Dilshad Sabir, Ali Hassan, Muhammad Fasih Uddin Butt, Farhan Riaz, Wadood Abdul, Rashid Ayub:
Applications of Pruning Methods in Natural Language Processing. IEEE Access 12: 89418-89438 (2024) - [j24]Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz:
ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph. Big Data Min. Anal. 7(2): 340-356 (2024) - [c27]Sara Tehsin, Ali Hassan, Farhan Riaz:
Ensemble Learning for Offline Signature Verification using Fused Deep Features. ICACS 2024: 1-6 - 2023
- [j23]Abdul Wahab Muzaffar, Farhan Riaz, Tarik Abu-Ain, Waleed Abdel Karim Abu-Ain, Farhan Hussain, Muhammad Umar Farooq, Muhammad Ajmal Azad:
Gabor Contrast Patterns: A Novel Framework to Extract Features From Texture Images. IEEE Access 11: 60324-60334 (2023) - [j22]Muhammad Tahir, Farhan Riaz, Imran Usman, Mohamed Ibrahim Habib:
Classification of Gastric Lesions Using Gabor Block Local Binary Patterns. Comput. Syst. Sci. Eng. 46(3): 4007-4022 (2023) - [j21]Muhammad Ajmal Azad, Farhan Riaz, Anum Aftab, Syed Khurram Jah Rizvi, Junaid Arshad, Hany F. Atlam:
Corrigendum to "DEEPSEL: A novel feature selection for early identification of malware in mobile applications" [Future Gener. Comput. Syst. 129 (2022) 54-63]. Future Gener. Comput. Syst. 143: 422 (2023) - 2022
- [j20]Muhammad Ajmal Azad, Farhan Riaz, Anum Aftab, Syed Khurram Jah Rizvi, Junaid Arshad, Hany F. Atlam:
DEEPSEL: A novel feature selection for early identification of malware in mobile applications. Future Gener. Comput. Syst. 129: 54-63 (2022) - 2021
- [j19]Sidra Minhas, Aasia Khanum, Atif Alvi, Farhan Riaz, Shoab Ahmad Khan, Fawaz Alsolami, Muazzam Ali Khan:
Early MCI-to-AD Conversion Prediction Using Future Value Forecasting of Multimodal Features. Comput. Intell. Neurosci. 2021: 6628036:1-6628036:12 (2021) - [j18]Muhammad Ajmal Azad, Junaid Arshad, Syed Muhammad Ali Akmal, Farhan Riaz, Sidrah Abdullah, Muhammad Imran, Farhan Ahmad:
A First Look at Privacy Analysis of COVID-19 Contact-Tracing Mobile Applications. IEEE Internet Things J. 8(21): 15796-15806 (2021) - [j17]Anum Aftab, Farrukh Aslam Khan, Muhammad Khurram Khan, Haider Abbas, Waseem Iqbal, Farhan Riaz:
Hand-based multibiometric systems: state-of-the-art and future challenges. PeerJ Comput. Sci. 7: e707 (2021) - 2020
- [j16]Farhan Riaz, Saad Rehman, Muhammad Ajmal Azad, Rehan Hafiz, Ali Hassan, Naif Radi Aljohani, Raheel Nawaz, Rupert C. D. Young, Miguel Tavares Coimbra:
Gaussian Mixture Model Based Probabilistic Modeling of Images for Medical Image Segmentation. IEEE Access 8: 16846-16856 (2020) - [j15]Hussam Ali, Muhammad Sharif, Mussarat Yasmin, Mubashir Husain Rehmani, Farhan Riaz:
A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract. Artif. Intell. Rev. 53(4): 2635-2707 (2020) - [j14]Muhammad Ajmal Azad, Mamoun Alazab, Farhan Riaz, Junaid Arshad, Tariq Abullah:
Socioscope: I know who you are, a robo, human caller or service number. Future Gener. Comput. Syst. 105: 297-307 (2020) - [i1]Muhammad Ajmal Azad, Junaid Arshad, Ali Akmal, Sidrah Abdullah, Farhan Ahmad, Muhammad Ali Imran, Farhan Riaz:
A First Look at Contact Tracing Apps. CoRR abs/2006.13354 (2020)
2010 – 2019
- 2019
- [j13]Farhan Riaz, Muhammad Ajmal Azad, Junaid Arshad, Muhammad Imran, Ali Hassan, Saad Rehman:
Pervasive blood pressure monitoring using Photoplethysmogram (PPG) sensor. Future Gener. Comput. Syst. 98: 120-130 (2019) - [j12]Farhan Riaz, Sidra Naeem, Raheel Nawaz, Miguel T. Coimbra:
Active Contours Based Segmentation and Lesion Periphery Analysis for Characterization of Skin Lesions in Dermoscopy Images. IEEE J. Biomed. Health Informatics 23(2): 489-500 (2019) - [c26]Farhan Riaz, Rehan Nemati, Hina Ajmal, Ali Hassan, Ernest Edifor, Raheel Nawaz:
Osteoporosis Classification Using Texture Features. CBMS 2019: 575-579 - 2018
- [j11]Sidra Minhas, Aasia Khanum, Farhan Riaz, Shoab Ahmad Khan, Atif Alvi:
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Disease Using Autoregressive Modelling of Longitudinal and Multimodal Biomarkers. IEEE J. Biomed. Health Informatics 22(3): 818-825 (2018) - [c25]Muntaha Sakeena, Rubata Riasat, Ali Hassan, Farhan Riaz:
Supervised Level Sets For Dermoscopic Image Segmentation. HealthCom 2018: 1-5 - [c24]Shah Khalid, Ali Hassan, Sana Ullah, Farhan Riaz:
Segmentation of Heart Sound by Clustering Using Spectral and Temporal Features. IntelliSys (1) 2018: 337-346 - [c23]Sana Ullah, Shah Khalid, Farhan Hussain, Ali Hassan, Farhan Riaz:
Curve Evolution Based on Edge Following Algorithm for Medical Image Segmentation. IntelliSys (1) 2018: 529-538 - [p1]Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz:
SOCIO-LENS: Spotting Unsolicited Caller Through Network Analysis. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 235-258 - 2017
- [j10]Sara Tehsin, Saad Rehman, Muhammad Omer Bin Saeed, Farhan Riaz, Ali Hassan, Muhammad Abbas, Rupert C. D. Young, Mohammad S. Alam:
Self-Organizing Hierarchical Particle Swarm Optimization of Correlation Filters for Object Recognition. IEEE Access 5: 24495-24502 (2017) - [j9]Farhan Riaz, Ali Hassan, Rida Nisar, Mário Dinis-Ribeiro, Miguel Tavares Coimbra:
Content-Adaptive Region-Based Color Texture Descriptors for Medical Images. IEEE J. Biomed. Health Informatics 21(1): 162-171 (2017) - [j8]Sidra Minhas, Aasia Khanum, Farhan Riaz, Atif Alvi, Shoab Ahmad Khan:
A Nonparametric Approach for Mild Cognitive Impairment to AD Conversion Prediction: Results on Longitudinal Data. IEEE J. Biomed. Health Informatics 21(5): 1403-1410 (2017) - [c22]Sidra Minhas, Aasia Khanum, Farhan Riaz, Shoab Ahmad Khan, Atif Alvi:
Trajectory based predictive modeling of conversion from mild cognitive impairment to Alzheimer's disease. BHI 2017: 385-388 - [c21]Muntaha Sakeena, Rubata Riasat, Abdul Hannan Sadiq, Zeeshan Ahmad, Farhan Riaz:
Dermoscopic image analysis using pattern recognition techniques from region of interest (ROI) for detection of melanoma. ICMLC 2017: 162-168 - 2016
- [j7]Sheikh Waqas Akhtar, Saad Rehman, Mahmood Akhtar, Muazzam Ali Khan, Farhan Riaz, Qaiser Chaudry, Rupert C. D. Young:
Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training. IEEE Access 4: 9501-9511 (2016) - [c20]Farhan Riaz, Ali Hassan, Pedro Pimentel-Nunes, Diogo Libnio e Jorge Lage, Miguel Tavares Coimbra:
How well can the fusion of Gabor filters and local binary patterns help in identifying gastric lesions? EMBC 2016: 1204-1207 - 2015
- [j6]Kamran Babar, Rehan Hafiz, Khawar Khurshid, Awais M. Kamboh, Ali Hassan, Farhan Riaz, Byeungwoo Jeon:
A scalable architecture for geometric correction of multi-projector display systems. Displays 40: 104-112 (2015) - [j5]Sheeraz Akram, Muhammad Younus Javed, Ayyaz Hussain, Farhan Riaz, M. Usman Akram:
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques. J. Exp. Theor. Artif. Intell. 27(6): 737-751 (2015) - [c19]Ali Hassan, Farhan Riaz, Abdul Basit:
A robust classification model based on iBSA and GCA biomarkers for diagnosis of epilepsy. CCECE 2015: 171-175 - [c18]Ali Hassan, Farhan Riaz, Abdul Basit:
A robust classification model with voting based feature selection for diagnosis of epilepsy. CCECE 2015: 176-179 - [c17]Ali Hassan, Farhan Riaz, Saad Rehman, Mads Jochumsen, Imran Khan Niazi, Kim Dremstrup:
An empirical study to remove noise from single-trial MRCP for movement intention detection. CCECE 2015: 184-189 - [c16]Rizwan Khalid, Saad Rehman, Farhan Riaz, Ali Hassan:
Enhanced dynamic quadrant histogram equalization plateau limit for image contrast enhancement. DICTAP 2015: 86-91 - [c15]Sidra Minhas, Aasia Khanum, Farhan Riaz, Atif Alvi, Shoab Ahmad Khan:
Early Alzheimer's Disease Prediction in Machine Learning Setup: Empirical Analysis with Missing Value Computation. IDEAL 2015: 424-432 - [c14]Sidra Naeem, Farhan Riaz, Ali Hassan, Rida Nisar:
Description of Visual Content in Dermoscopy Images Using Joint Histogram of Multiresolution Local Binary Patterns and Local Contrast. IDEAL 2015: 433-440 - [c13]Ali Hassan, Usman Ghani, Farhan Riaz, Saad Rehman, Mads Jochumsen, Denise Taylor, Imran Khan Niazi:
Using a Portable Device for Online Single-Trial MRCP Detection and Classification. IDEAL 2015: 527-534 - 2014
- [j4]Ali Hassan, Farhan Riaz, Arslan Shaukat:
Scale and Rotation Invariant Texture Classification Using Covariate Shift Methodology. IEEE Signal Process. Lett. 21(3): 321-324 (2014) - [c12]Farhan Riaz, Ali Hassan, Saad Rehman, Imran Khan Niazi, Mads Jochumsen, Kim Dremstrup:
Processing movement related cortical potentials in EEG signals for identification of slow and fast movements. EMBC 2014: 4908-4911 - [c11]Farhan Riaz, Ali Hassan, Muhammad Younus Javed, Miguel Tavares Coimbra:
Detecting melanoma in dermoscopy images using scale adaptive local binary patterns. EMBC 2014: 6758-6761 - [c10]Arslan Shaukat, Muhammad Ahsan, Ali Hassan, Farhan Riaz:
Daily sound recognition for elderly people using ensemble methods. FSKD 2014: 418-423 - [c9]Ali Hassan, Imran Khan Niazi, Mads Jochumsen, Farhan Riaz, Kim Dremstrup:
Classification of kinetics of movement for lower limb using covariate shift method for brain computer interface. ICASSP 2014: 5854-5858 - [c8]Ali Hassan, Hassan Akhtar, Muhammad Junaid Khan, Farhan Riaz, Faiza Hassan, Imran Khan Niazi, Mads Jochumsen, Kim Dremstrup:
Use of Empirical Mode Decomposition for Classification of MRCP Based Task Parameters. IDEAL 2014: 77-84 - 2013
- [j3]Farhan Riaz, Ali Hassan, Saad Rehman, Usman Qamar:
Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features. IEEE Signal Process. Lett. 20(6): 607-610 (2013) - [j2]Farhan Riaz, Francisco Baldaque Silva, Mário Dinis-Ribeiro, Miguel Tavares Coimbra:
Impact of Visual Features on the Segmentation of Gastroenterology Images Using Normalized Cuts. IEEE Trans. Biomed. Eng. 60(5): 1191-1201 (2013) - [c7]Farhan Riaz, Pedro Pimentel-Nunes, Mário Dinis-Ribeiro, Miguel Tavares Coimbra:
Segmentation of gastroenterology images: A comparison between clustering and fitting models approaches. CBMS 2013: 550-551 - [c6]Farhan Riaz, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra:
Integral scale histogram local binary patterns for classification of narrow-band gastroenterology images. EMBC 2013: 3714-3717 - [c5]Farhan Riaz, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra:
A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology. ICIP 2013: 1443-1446 - 2012
- [j1]Farhan Riaz, Francisco Baldaque Silva, Mário Dinis-Ribeiro, Miguel Tavares Coimbra:
Invariant Gabor Texture Descriptors for Classification of Gastroenterology Images. IEEE Trans. Biomed. Eng. 59(10): 2893-2904 (2012) - 2011
- [c4]Farhan Riaz, Fernando Vilariño, Mário Dinis-Ribeiro, Miguel Tavares Coimbra:
Identifying Potentially Cancerous Tissues in Chromoendoscopy Images. IbPRIA 2011: 709-716 - [c3]Farhan Riaz, Miguel Areia, Francisco Baldaque Silva, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra:
Gabor textons for classification of gastroenterology images. ISBI 2011: 117-120
2000 – 2009
- 2009
- [c2]Farhan Riaz, Mário Dinis-Ribeiro, Miguel Tavares Coimbra:
Semantic relevance of current image segmentation algorithms. WIAMIS 2009: 165-168 - 2007
- [c1]Imad Aad, Philipp Hofmann, Luis Loyola, Farhan Riaz, Jörg Widmer:
E-MAC: Self-Organizing 802.11-Compatible MAC with Elastic Real-time Scheduling. MASS 2007: 1-10
Coauthor Index
aka: Miguel T. Coimbra
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last updated on 2024-10-07 22:11 CEST by the dblp team
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