Note: This page will be discontinued. Please visit my new webpage HERE and update your bookmarks.
My publications on Google Scholar.
Corey Broeckling, Jessica Prenni, Asa Ben-Hur, and Fayyaz Minhas, RAMClust: Clustering of Mass Spectrometry Features for Identification. U.S. Provisional Patent Application. 2012.
Muhammad Arif, Fayyaz Minhas, M.U. Akram, and A. Fida, Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem, Advances in Knowledge Discovery and Data Mining, Ed. Thanaruk Theeramunkong, Boonserm Kijsirkul, Tu-Bao Ho, PAKDD2009 Proceedings, LNAI 5476, pp. 491-498, Springer-Verlag Berlin Heidelberg, 2009. (Online), (Download draft)
Amina Asif and Fayyaz Minhas. “An embarrassingly simple approach to neural multiple instance classification.” arXiv:1905.01947, May 6, 2019. (Paper)
Fayyaz Minhas, Amina Asif, Asa Ben-Hur. “Ten ways to fool the masses with machine learning.” arXiv:1901.01686, January 7, 2019. (Paper)
Amina Asif, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas. “A generalized meta-loss function for distillation and learning using privileged information for classification and regression.” arXiv:1811.06885, November 16, 2018. (Paper)
Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, Fayyaz Ul Amir Afsar Minhas. “ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors.” arXiv:1711.0540, November 22, 2017. (Paper)
Asif, Amina, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, and Fayyaz ul Amir Afsar Minhas. “pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.” arXiv:1711.04913 [Cs, Stat], November 13, 2017. (Paper)
Basit, Abdul Hannan, Wajid Arshad Abbasi, Amina Asif, and Fayyaz Ul Amir Afsar Minhas. “Training Large Margin Host-Pathogen Protein-Protein Interaction Predictors.” arXiv:1711.07886 [Cs, Q-Bio, Stat], November 21, 2017. (Paper)AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides, Sadaf Gull, Nauman Shamim and Fayyaz ul Amir Afsar Minhas, Computers in biology and medicine 107 (2019): 172-181. (Paper)(software)
In Silico Prediction and Validations of Domains Involved in Gossypium hirsutum SnRK1 Protein Interaction with Cotton leaf curl Multan betasatellite encoded βC1, Kamal, Hira, Fayyaz ul Amir Afsar Minhas, Muhammad Farooq, Diwaker Tripathi, Muhammad Hamza, Roma Mustafa, Muhammad Zuhaib Khan, Shahid Mansoor, Hanu R. Pappu, and Imran Amin, in Frontiers in Plant Science 10 (2019): 656. (Paper)
Learning protein binding affinity using privileged information, Wajid Abbasi, Amina Asif, Asa Ben-Hur and Fayyaz ul Amir Afsar Minhas, BMC Bioinformatics (2018) doi: 10.1186/s12859-018-2448-z. (Paper)(software)
PHURIE: Hurricane Intensity Estimation from Infrared Satellite Imagery using Machine Learning, Amina Asif, Muhammad Dawood, Bismillah Jan, Javaid Khurshid, Mark DeMaria, and Fayyaz ul Amir Afsar Minhas, in Neural Computing and Applications, DOI: http://dx.doi.org/10.1007/s00521-018-3874-6, 2018. (Paper)(software)
Training host-pathogen protein–protein interaction predictors , Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull and Fayyaz ul Amir Afsar Minhas, in Journal of Bioinformatics and Computational Biology, Vol. 16, No. 04, 1850014 (2018). (Paper)(software)
"Correlation Filters for Detection of Cellular Nuclei in Histopathology Images", Asif Ahmed, Amina Asif, M. Arif, Nasir Rajpoor and Fayyaz ul Amir Afsar Minhas, in Journal of medical systems, 2017. (Paper)(software)
CaMELS: In silico Prediction of Calmodulin Binding Proteins and their Binding Sites, Wajid Abbasi, Amina Asif, Saiqa Andleeb, and Fayyaz ul Amir Afsar Minhas, in Proteins: Structure, Function and Bioinformatics, 2017. (Paper)(software)
Amino Acid Composition Predicts Prion Activity, Fayyaz ul Amir Afsar Minhas, Eric D. Ross and Asa Ben-Hur, PLoS Computational Biology, 13(4): e1005465. https://doi.org/10.1371/journal.pcbi.1005465, 2017. (Paper)(software)
CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data, Fayyaz ul Amir Afsar Minhas et al., in Computers in Biology and Medicine, vol. 79, pp. 68-79, Oct. 2016. (Paper)(software)
Issues In Performance Evaluation for Host-Pathogen Protein Interaction Prediction, Wajid A. Abbasi and Fayyaz Minhas, in Journal of Bioinformatics and Computational Biology, vol. 14, no. 3, 1650011, January 2016. (more details)
RAMClust: A Novel Feature Clustering Method Enables Spectral-Matching Based Annotation for Metabolomics Data., Corey D. Broeckling, Fayyaz Minhas, Steffen Neumann, Asa Ben-Hur, and Jessica E. Prenni in Analytical Chemistry, vol. 86, no. 14, pp 6812-6817, June 2014. (Online), (Download draft)
PAIRpred: Partner-specific prediction of interacting residues from sequence and structure, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur in Proteins: Structure, Function and Bioinformatics, vol. 82, no. 7, pp. 1142-1155, 2014 (Published Online: 2013). (Online), (Download draft)
Multiple instance learning of Calmodulin binding sites, Fayyaz Minhas and Asa Ben-Hur. Bioinformatics (2012) 28(18): i416-i422 (special ECCB 2012 issue). (Paper), (Download draft), (Application webserver)
Automated Classification of Liver Disorders using Ultrasound Images, Fayyaz Minhas, Durr-e-Sabih, Mutawarra Hussain, in Journal of Medical Systems, vol. 34, no. 5, pp. 3163-3172, 2012 (Online), (Download draft)
MOX: A Novel Global Optimization Algorithm Inspired from Oviposition Site Selection and Egg Hatching Inhibition in Mosquitoes, Fayyaz Minhas and M. Arif in Journal of Applied Soft Computing, vol. 11, no. 8, pp. 4614-4625, 2011 (Paper), (Download draft), (Matlab Code)
Detection and Localization of Myocardial Infarction using K-Nearest Neighbor Classifier M. Arif, I.A. Malagore, Fayyaz .A. Afsar, Journal of Medical Systems, DOI 10.1007/s10916-010-9474-3, 2010. (Online)
Pruned Fuzzy K-nearest neighbor Classifier for Beat Classification, M. Arif, M. Usman Akram, Fayyaz Minhas, in Journal of Biomedical Science and Engineering (JBISE), vol. 2010, no. 3, pp. 380-389, 2010. (Online)
Robust Electrocardiogram (ECG) beat classification using Discrete Wavelet Transform, Fayyaz Minhas and M. Arif, in Physiological Measurement, 29 (2008), pp. 1-16, 2008. (Online)
Detection of ST Segment Deviation Episodes in the ECG using KLT with an Ensemble Neural Classifier, Fayyaz Minhas and M. Arif, in Physiological Measurement 29 (2008), pp. 747-760, 2008. (Online)
Kanza Hamid, Amina Asif, Wajid Abbasi, Durre Sabih and Fayyaz Minhas, Machine learning with abstention for automated liver disease diagnosis, in proc. 15th International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan.(Paper)
Fahad Hassan and Fayyaz Minhas, Deep and self-taught learning for protein accessible surface area prediction, in proc. 15th International Conference on Frontiers of Information Technology (FIT 2017), December 18-20, 2017, Islamabad, Pakistan. (Paper)
Protein Binding Affinity Prediction Using Support Vector Regression and Interfacial Features, Adiba Yaseen, Wajid A. Abbasi and Fayyaz Minhas in proc. 14th IEEE International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 9-13 Jan. 2017.(Paper)
Real Time Eye Tracking using Kalman Extended Spatio-Temporal Context Learning, by Farzeen Munir, Fayyaz Minhas, Abdul Jalil and Moongu Jeon in proc. International conference on Pattern Recognition (http://icopr.org/), May 1-2, Singapore. (Paper)
In Silico Prediction of Calmodulin Interactions, by Wajid Abbasi and Fayyaz Minhas, in proc. 3rd National Computational Science Conference (NCSC 2015), Institute of Space Technology, Islamabad, Pakistan (presentation only).
A new novelty detector for finding abnormal beats in ECG recordings, Fayyaz Minhas, in proc. International conference on Integrative Biology summit, Las Vegas, NV, USA, August 5-7, 2013. (Online Abstract)(biorxiv preprint.)
Multiple instance learning of Calmodulin binding sites, Fayyaz Minhas and Asa Ben-Hur, in proc. 11th European Conference on Computational Biology (ECCB), Basel, Switzerland, 9-12 September 2012. (Online, conference acceptance: 48 out of 348). (Paper) (Application webserver)
Performance Comparisons of Classifiers for Medical Image Segmentation with Transform and Moment based features, Asim Imdad, A. Jalil and Fayyaz Minhas, in proc. 8th International Bhurban Conference on Applied Science & Technology, Islamabad, Pakistan, Jan 2011.
Prediction of Acute Hypotension Episodes in Pakistan Taking Pressor Medication using Modeling of Arterial Blood Pressure, Fayyaz Minhas, in proc. International Conference on Bioinformatics and Biomedical Engineering, Chengdu, China, June 2010. (Online)
Automatic Detection and Localization of Myocardial Infarction using Back Propagation Neural Networks, Muhammad Arif, Ijaz Ahmed Malagore and Fayyaz Minhas, in proc. International Conference on Bioinformatics and Biomedical Engineering, Chengdu, China, June 2010 (Online).
Wavelet Transform Based Automatic Speaker Recognition, S. Malik and Fayyaz Minhas, in proc. International Multitopic Conference (INMIC), Islamabad, Pakistan, December 2010. (Online)
Arrhythmia Beat Classification using Pruned Fuzzy K-Nearest Neighbor Classifier, M. Arif, M. Usman Akram and Fayyaz Minhas, in proc. 2009 International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, 04-07 December 2010. (Online) .
A Comparison of Baseline Removal Algorithms for Electrocardiogram (ECG) based Automated Diagnosis of Coronary Heart Disease, Fayyaz Minhas, M. S. Riaz and M. Arif, in proc. 3rd International Conference on Bioinformatics & Biomedical Engineering (iCBBE-2009), Beijing, PR of China, June 11-13, 2009. (Online)
Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem, M. Arif, Fayyaz Minhas , M. U. Akram, A. Fida, in proc. 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2009 (PAKDD09). (Online)
A Pruned Fuzzy k-Nearest Neighbor Classifier with Application to Electrocardiogram based Cardiac Arrhythmia Recognition, Fayyaz Minhas, M. U. Akram, M. Arif, J. Khurshid, in proc. Intl. Multi-topic Conference (INMIC) 2008, Karachi, Pakistan, December 23-24, 2008. (Online)
Person Identification based on Palm & Hand Geometry, Qaiser N. Ashraf and Fayyaz Minhas, presented at Doctoral Symposium on Computer Science, Lahore, Pakistan, August 9-10, 2008. (Download)
Robust Classification of ECG Beats using Discrete Wavelet Transform & Principal Component Analysis, Fayyaz Minhas, and M. Arif, in proc. 2nd International Conference on Bioinformatics & Biomedical Engineering (iCBBE-2008), Shanghai, PR of China, May 16-18, 2008. (Online)
Detection of ST Segment Deviation Episodes in the ECG using KLT with an Ensemble Neural Classifier, Fayyaz Minhas, and M. Arif, in proc. IEEE International Conference on Emerging Technologies (ICET) 2007, Rawalpindi, Pakistan, 2007. (Online)
QRS Detection & Delineation for ECG Based Robust Clinical Decision Support System Design, Fayyaz Minhas, and M. Arif, in proc. National Research Conference 2007, Lahore, Pakistan, 2007 (Online).
Genetic Algorithm Based Path Planning and Optimization for Autonomous Mobile Robots with Morphological Preprocessing, Fayyaz Minhas, M. Arif, and M. Hussain, in proc. IEEE International Multitopic Conference (INMIC) 2006, Karachi, Pakistan, 2006. (Online)
An Effective Approach to Fingerprint Segmentation using Fisher Basis, Fayyaz Minhas, M. Arif and M. Hussain, in proc. IEEE International Multitopic Conference (INMIC) 2005, Karachi, Pakistan, 2005. (Online)
Wavelet Transform Based Global Features for Online Signature Recognition, Fayyaz Minhas, U. Farrukh and M. Arif, in proc. IEEE International Multitopic Conference (INMIC) 2005, Karachi, Pakistan, 2005 (Online).
Development of a Minutiae Based Fingerprint Identification System, Fayyaz Minhas, M. Arif and M. Hussain, in proc. International Science Conference, Muzzaffarabad, Pakistan, Oct. 2004.
Fingerprint Identification and Verification using Minutiae Matching, Fayyaz Minhas, M. Arif and M. Hussain, in proc. National Conference on Emerging Technologies, Karachi, Pakistan, 2004. (Download)
Fingerprint Based Person Identification and Verification for Commercial Applications, Fayyaz Minhas, M. Arif, M. Hussain, in proc. IEEE International Multitopic Conference (INMIC) 2004, Lahore, Pakistan, 2004. (Online)
The Machine Learning Revolution in Medical Informatics and Computational Biology, Fayyaz Minhas at 2nd Interdisciplinary Statistical Data Analysis Workshop, Swat Institute of Nuclear Medicine, Oncology & Radiotherapy (SINOR), August 21-23, 2017. (Download)
Learning Machine Learning for the Future, Fayyaz Minhas at Department of Electrical Engineering, Islamic International University, Islambad, Pakistan (April 20, 2016). (Download)
Computational Tools in Proteomics & Interactomics, Fayyaz Minhas in Workshop on the use of Bioinformatics in High throughput sequencing, Genomics, Transcriptomics and Proteomics, National Institute of Biotechnology and Genetic Engineering (NIBGE) Faisalabad, Pakistan March 31, 2015. (Download)
PAIRpred: Partner-Specific Prediction Of Interacting Residues In Protein Complexes, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur, oral and poster presentation in 11th Annual Rocky Mountain Bioinformatics Conference, 2013, Aspen, Colorado USA.
PAIRpred: Partner-Specific Prediction Of Interacting Residues In Protein Complexes, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur, poster presentation in Structural Bioinformatics and Computational Biophysics (3DSIG), July 19-20, 2013, Berlin, Germany. (Download)
PAIRpred: Prediction of partner-specific interacting residues from sequence and structure, Fayyaz Minhas, Brian Geiss and Asa Ben-Hur, oral presentation in Seventh International Workshop on Machine Learning in Systems Biology (MLSB13), July 19-20, 2013, Berlin, Germany. (Abstract)
RAMClust: an unsupervised feature clustering method for non-targeted metabolomics datasets, Corey Broeckling, Fayyaz Minhas, Asa Ben-Hur, Jessica Prenni, oral presentation in 61st American Society for Mass Spectrometry (ASMS) Conference, June 9 - 13, 2013, Minneapolis, USA.
Tutorial on fingerprint based person identification, Fayyaz Minhas, presented in International Symposium on Biometrics & Security Technologies (ISBAST 2008) at Bahria University, Islamabad, Pakistan, April 23, 2008.
Fayyaz Minhas, Large-margin methods for partner-specific prediction of protein interfaces, Ph.D. dissertation, Dept. of Computer Science, Colorado State University, Fort Collins, Colorado, USA, 2014. (Online), (Download)
Fayyaz Minhas, A taxonomy of protein binding problems, Research exam report, Department of Computer Science, Colorado State University, Fort Collins, Colorado, USA, 2012. (Download)
Fayyaz Minhas, Open Heart: ECG Based Cardiac Disease Analysis and Diagnosis System, MS (System Engineering) thesis, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan, 2007. (Download)
Fayyaz Minhas, Automatic Fingerprint Identification and Verification, BS (Computer and Information Sciences) thesis, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan, 2005. (Download)
