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M. Asif Naeem
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2020 – today
- 2024
- [j37]Widana Kankanamge Darsha Jayamini, Farhaan Mirza, M. Asif Naeem, Amy Hai Yan Chan:
Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review. J. Medical Syst. 48(1): 49 (2024) - [j36]Musa Dildar Ahmed Cheema, Mohammad Daniyal Shaiq, Farhaan Mirza, Ali Kamal, M. Asif Naeem:
Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR). PeerJ Comput. Sci. 10: e1964 (2024) - [j35]Benjamin Denham
, Edmund M.-K. Lai
, Roopak Sinha
, M. Asif Naeem
:
Dynamic Quantification With Constrained Error Under Unknown General Dataset Shift. IEEE Trans. Knowl. Data Eng. 36(7): 2980-2994 (2024) - 2023
- [j34]U. H. W. A. Hewage
, Roopak Sinha, M. Asif Naeem:
Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review. Artif. Intell. Rev. 56(9): 10427-10464 (2023) - [c50]Rashi Bhalla, Farhaan Mirza, M. Asif Naeem, Amy Hai Yan Chan:
Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach. PKAW 2023: 1-14 - [i3]Nawal Chanane, Farhaan Mirza, M. Asif Naeem:
Co-Designing a Medication Notification Application with Multi-Channel Reminders. CoRR abs/2310.13703 (2023) - 2022
- [j33]Rashi Bhalla, Russel Pears, M. Asif Naeem, Farhaan Mirza:
Novel method for optimizing performance in resource constrained distributed data streams. Appl. Intell. 52(11): 12924-12942 (2022) - [j32]Sana Aurangzeb, Haris Anwar, Muhammad Asif Naeem, Muhammad Aleem:
BigRC-EML: big-data based ransomware classification using ensemble machine learning. Clust. Comput. 25(5): 3405-3422 (2022) - [j31]Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, M. Asif Naeem:
Witan: Unsupervised Labelling Function Generation for Assisted Data Programming. Proc. VLDB Endow. 15(11): 2334-2347 (2022) - [j30]Muhammad Usama, M. Asif Naeem
, Farhaan Mirza
:
Multi-Class Skin Lesions Classification Using Deep Features. Sensors 22(21): 8311 (2022) - [j29]M. Asif Naeem
, Wasiullah Waqar, Farhaan Mirza, Ali Tahir:
TinyLFU-based semi-stream cache join for near-real-time data warehousing. Soft Comput. 26(20): 11091-11103 (2022) - 2021
- [j28]Alhanof Almutairi
, Muhammad Asif Naeem
, Gerald Weber
:
Assessing User Satisfaction of Current Enterprise Systems and Their Adaptability From the Perspective of Top Management. IEEE Access 9: 153442-153455 (2021) - [j27]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Topical affinity in short text microblogs. Inf. Syst. 96: 101662 (2021) - [j26]Herman Masindano Wandabwa
, M. Asif Naeem
, Farhaan Mirza, Russel Pears:
Multi-interest semantic changes over time in short-text microblogs. Knowl. Based Syst. 228: 107249 (2021) - [c49]Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, M. Asif Naeem:
Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift. ICDM 2021: 1048-1053 - 2020
- [j25]M. Asif Naeem
, Farhaan Mirza
, Habib Ullah Khan
, David Sundaram
, Noreen Jamil, Gerald Weber:
Big Data Velocity Management-From Stream to Warehouse via High Performance Memory Optimized Index Join. IEEE Access 8: 195370-195384 (2020) - [j24]Benjamin Denham
, Russel Pears, M. Asif Naeem
:
Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining. Expert Syst. Appl. 152: 113380 (2020) - [j23]M. Asif Naeem
, Erum Mehmood
, M. G. Abbas Malik
, Noreen Jamil:
Optimizing Semi-Stream CACHEJOIN for Near-Real- Time Data Warehousing. J. Database Manag. 31(1): 20-37 (2020) - [j22]Benjamin Denham, Russel Pears, M. Asif Naeem:
HDSM: A distributed data mining approach to classifying vertically distributed data streams. Knowl. Based Syst. 189 (2020) - [j21]Muhammad Daud Kamal, Ali Tahir
, Muhammad Babar Kamal, Faisal Moeen, M. Asif Naeem:
A Survey for the Ranking of Trajectory Prediction Algorithms on Ubiquitous Wireless Sensors. Sensors 20(22): 6495 (2020) - [j20]Ayesha Kamran Ul haq, Amira Khattak, Noreen Jamil
, M. Asif Naeem
, Farhaan Mirza:
Data Analytics in Mental Healthcare. Sci. Program. 2020: 2024160:1-2024160:9 (2020) - [j19]Asif Mansoor, Muhammad Waleed Usman, Noreen Jamil
, M. Asif Naeem
, Iván García-Magariño:
Deep Learning Algorithm for Brain-Computer Interface. Sci. Program. 2020: 5762149:1-5762149:12 (2020) - [j18]Bahman A. Sassani Sarrafpour, Mohammed Alkorbi, Noreen Jamil
, M. Asif Naeem, Farhaan Mirza:
Evaluating Encryption Algorithms for Sensitive Data Using Different Storage Devices. Sci. Program. 2020: 6132312:1-6132312:9 (2020) - [c48]Nawal Chanane, Farhaan Mirza, Muhammad Asif Naeem:
Co-Designing a Medication Notification Application with Multi-Channel Reminders. ACIS 2020: 29 - [c47]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears, Andy Nguyen
:
Multi-interest User Profiling in Short Text Microblogs. DESRIST 2020: 154-168 - [c46]Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears:
Follow-back Recommendations for Sports Bettors: A Twitter-based Approach. HICSS 2020: 1-10 - [c45]Benjamin Denham, Russel Pears, M. Asif Naeem:
Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. ICDM 2020: 990-995
2010 – 2019
- 2019
- [j17]Huy Vuong Nguyen, M. Asif Naeem, Nuttanan Wichitaksorn, Russel Pears:
A smart system for short-term price prediction using time series models. Comput. Electr. Eng. 76: 339-352 (2019) - [j16]M. Asif Naeem, Gerald Weber, Christof Lutteroth
:
A memory-optimal many-to-many semi-stream join. Distributed Parallel Databases 37(4): 623-649 (2019) - [j15]M. Asif Naeem:
Optimization and Extension of Stream-Relation Joins. Int. J. Inf. Technol. Decis. Mak. 18(4): 1289-1315 (2019) - [j14]Adi Darliansyah, M. Asif Naeem, Farhaan Mirza, Russel Pears:
SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts. J. Univers. Comput. Sci. 25(10): 1323-1352 (2019) - [c44]Nawal Chanane, Farhaan Mirza, M. Asif Naeem:
Insights of Medication Adherence Management: A Qualitative Study with Healthcare Professionals and Technology Designers. ACIS 2019: 74 - [c43]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Topical Expressivity in Short Texts. CONF-IRM 2019: 19 - [c42]M. Asif Naeem, Omer Aziz, Noreen Jamil:
Optimising HYBRIDJOIN to Process Semi-Stream Data in Near-real-time Data Warehousing. CONF-IRM 2019: 27 - [c41]Christopher J. Rapson, Boon-Chong Seet, M. Asif Naeem, Jeong Eun Lee, Reinhard Klette
:
A Performance Comparison of Deep Learning Methods for Real-time Localisation of Vehicle Lights in Video Frames. ITSC 2019: 567-572 - [i2]M. Asif Naeem, Erum Mehmood, M. G. Abbas Malik, Noreen Jamil:
Optimizing Semi-Stream CACHEJOIN for Near-Real-Time Data Warehousing. CoRR abs/1911.02646 (2019) - 2018
- [j13]Herman Masindano Wandabwa
, Muhammad Asif Naeem, Russel Pears, Farhaan Mirza:
A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. IEEE Access 6: 65582-65593 (2018) - [j12]M. Asif Naeem
, I. Wayan S. Linggawa, Aftab A. Mughal, Christof Lutteroth
, Gerald Weber:
A Smart Email Client Prototype for Effective Reuse of Past Replies. IEEE Access 6: 69453-69471 (2018) - [j11]Chamari I. Kithulgoda, Russel Pears, M. Asif Naeem:
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams. Expert Syst. Appl. 97: 1-17 (2018) - [j10]Noreen Jamil
, Farhaan Mirza
, M. Asif Naeem, Nilufar Baghaei
:
A refinement of an iterative orthogonal projection method. J. Comput. Appl. Math. 341: 31-41 (2018) - [c40]Hiten Karamchandani, M. Asif Naeem, Farhaan Mirza, Mirza Mansoor Baig:
Improving Post-Hospital Discharge Management by Implementing the Discharge Summary on a Mobile Application. ICMU 2018: 1-2 - [c39]Hoa Hong Nguyen, Feng Zhou, Farhaan Mirza, M. Asif Naeem:
Fall Detection Using Smartphones to Enhance Safety and Security of Older Adults at Home. ICMU 2018: 1-2 - [c38]Shraddha Nayak, Md. Akbar Hossain
, Farhaan Mirza, M. Asif Naeem, Noreen Jamil:
E-BRACE: A Secure Electronic Health Record Access Method in Medical Emergency. INTAP 2018: 16-27 - [c37]Adi Darliansyah, Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. INTAP 2018: 65-75 - [c36]Christopher J. Rapson, Boon-Chong Seet, M. Asif Naeem, Jeong Eun Lee, Mahmoud Al-Sarayreh, Reinhard Klette
:
Reducing the Pain: A Novel Tool for Efficient Ground-Truth Labelling in Images. IVCNZ 2018: 1-9 - 2017
- [j9]M. Asif Naeem, Gillian Dobbie, Christof Lutteroth
, Gerald Weber:
Skewed distributions in semi-stream joins: How much can caching help? Inf. Syst. 64: 63-74 (2017) - [j8]Imran Sarwar Bajwa, Fatim Karim, M. Asif Naeem, Riaz ul Amin:
A Semi Supervised Approach for Catchphrase Classification in Legal Text Documents. J. Comput. 12(5): 451-461 (2017) - [j7]Rivindu Perera
, Parma Nand, M. Asif Naeem:
Utilizing typed dependency subtree patterns for answer sentence generation in question answering systems. Prog. Artif. Intell. 6(2): 105-119 (2017) - [c35]M. Asif Naeem, Kim Tung Nguyen, Gerald Weber:
A Multi-way Semi-stream Join for a Near-Real-Time Data Warehouse. ADC 2017: 59-70 - [c34]Hoa Hong Nguyen, Farhaan Mirza, M. Asif Naeem, Minh Nguyen:
A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. CSCWD 2017: 257-262 - [c33]Ali Haider Hussein Ghazala, M. Asif Naeem, Farhaan Mirza, Noreen Jamil:
Uncovering useful patterns in shopping cart data. CSCWD 2017: 349-354 - [c32]Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza:
Document level semantic comprehension of noisy text streams via convolutional neural networks. CSCWD 2017: 475-479 - [c31]Nawal Chanane, Farhaan Mirza, M. Asif Naeem, Asfahaan Mirza:
Acceptance of Technology-Driven Interventions for Improving Medication Adherence. FNSS 2017: 188-198 - [c30]Akbar Hossain
, Farhaan Mirza, M. Asif Naeem, Jairo A. Gutiérrez
:
A crowd sourced framework for neighbour assisted medical emergency system. ITNAC 2017: 1-6 - [c29]Hoa Hong Nguyen, Farhaan Mirza, M. Asif Naeem, Mirza Mansoor Baig:
Detecting Falls Using a Wearable Accelerometer Motion Sensor. MobiQuitous 2017: 422-431 - [c28]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza:
Aspect of Blame in Tweets: A Deep Recurrent Neural Network Approach. WWW (Companion Volume) 2017: 1423-1424 - 2016
- [j6]Noreen Jamil
, Johannes Müller, M. Asif Naeem, Christof Lutteroth
, Gerald Weber:
Extending linear relaxation for non-square matrices and soft constraints. J. Comput. Appl. Math. 308: 346-360 (2016) - [j5]M. Asif Naeem
, Imran Sarwar Bajwa
, Noreen Jamil:
A Cached-Based Stream-Relation Join Operator for Semi-Stream Data Processing. Int. J. Data Warehous. Min. 12(3): 14-31 (2016) - [c27]M. Asif Naeem, Gerald Weber, Christof Lutteroth
:
Optimising Queue-Based Semi-stream Joins by Introducing a Queue of Frequent Pages. ADC 2016: 407-418 - [i1]Rory P. Bunker
, Wenjun Zhang, M. Asif Naeem:
Improving a Credit Scoring Model by Incorporating Bank Statement Derived Features. CoRR abs/1611.00252 (2016) - 2015
- [c26]M. Asif Naeem, Imran Sarwar Bajwa
, Noreen Jamil:
A Cache-Based Semi-Stream Join to deal with Unmatched Stream Data. ADC 2015: 54-65 - [c25]Hao Gao, Muhammad Asif Naeem, Christof Lutteroth
, Gerald Weber:
S3J: A Parallel Semi-Stream Similarity Join. DOLAP 2015: 49-57 - [c24]M. Asif Naeem, Imran Sarwar Bajwa
, Noreen Jamil:
A Cached-based approach to enrich Stream data with master data. ICDIM 2015: 57-62 - 2014
- [j4]M. Asif Naeem, Noreen Jamil:
An Efficient Stream-based Join to Process End User Transactions in Real-Time Data Warehousing. J. Digit. Inf. Manag. 12(3): 201-215 (2014) - [j3]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
Efficient processing of streaming updates with archived master data in near-real-time data warehousing. Knowl. Inf. Syst. 40(3): 615-637 (2014) - [c23]M. Asif Naeem, Gerald Weber, Christof Lutteroth
, Gillian Dobbie:
Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data. DaWaK 2014: 171-182 - [c22]Aqsa Mahmood
, Kiran Qazi, Imran Sarwar Bajwa
, M. Asif Naeem:
Natural language processing based interpretation of skewed graphs. ICACCI 2014: 2700-2704 - [c21]M. Asif Naeem:
A caching approach to process stream data in data warehouse. ICDIM 2014: 162-167 - [c20]Shabana Ramzan, Imran Sarwar Bajwa
, Ikram Ul Haq, M. Asif Naeem:
A model transformation from NL to SBVR. ICDIM 2014: 220-225 - 2013
- [j2]Noreen Jamil, M. Asif Naeem:
Speeding Up SOR and Kaczmarz for Constraint-based GUIs with a Warm-Start Strategy. J. Multim. Process. Technol. 4(3): 179-188 (2013) - [c19]M. Asif Naeem:
Tuned X-HYBRIDJOIN for Near-Real-Time Data Warehousing. APWeb 2013: 494-505 - [c18]M. Asif Naeem, Gerald Weber, Gillian Dobbie, Christof Lutteroth
:
A generic front-stage for semi-stream processing. CIKM 2013: 769-774 - [c17]M. Asif Naeem, Gerald Weber, Gillian Dobbie, Christof Lutteroth
:
SSCJ: A Semi-Stream Cache Join Using a Front-Stage Cache Module. DaWaK 2013: 236-247 - [c16]M. Asif Naeem:
Efficient processing of semi-stream data. ICDIM 2013: 7-10 - [c15]M. Asif Naeem:
A robust join operator to process streaming data in real-time data warehousing. ICDIM 2013: 119-124 - [e1]Imran Sarwar Bajwa, M. Asif Naeem, Pit Pichappan:
Eighth International Conference on Digital Information Management (ICDIM 2013), Islamabad, Pakistan, September 10-12, 2013. IEEE 2013, ISBN 978-1-4799-0613-0 [contents] - 2012
- [c14]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
Optimised X-HYBRIDJOIN for Near-Real-Time Data Warehousing. ADC 2012: 21-30 - [c13]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
A Lightweight Stream-Based Join with Limited Resource Consumption. DaWaK 2012: 431-442 - [c12]M. Asif Naeem, Gillian Dobbie, Imran Sarwar Bajwa
, Gerald Weber:
Resource optimization for processing of stream data in data warehouse environment. ICACCI 2012: 62-68 - [c11]M. Asif Naeem, Imran Sarwar Bajwa
:
Generating OLAP queries from natural language specification. ICACCI 2012: 768-773 - [c10]M. Asif Naeem, Saif Ullah, Imran Sarwar Bajwa
:
Interacting with Data Warehouse by Using a Natural Language Interface. NLDB 2012: 372-377 - 2011
- [j1]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
HYBRIDJOIN for Near-Real-Time Data Warehousing. Int. J. Data Warehous. Min. 7(4): 21-42 (2011) - [c9]Ashfa Umber, Imran Sarwar Bajwa
, M. Asif Naeem:
NL-Based Automated Software Requirements Elicitation and Specification. ACC (2) 2011: 30-39 - [c8]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
X-HYBRIDJOIN for Near-Real-Time Data Warehousing. BNCOD 2011: 33-47 - [c7]Imran Sarwar Bajwa, M. Asif Naeem, Ahsan Ali Chaudhri, Shahzad Ali:
A Controlled Natural Language Interface to Class Models. ICEIS (2) 2011: 102-110 - [c6]Imran Sarwar Bajwa
, M. Asif Naeem:
On Specifying Requirements Using a Semantically Controlled Representation. NLDB 2011: 217-220 - 2010
- [c5]Shafiq Alam
, Gillian Dobbie, Patricia Riddle, M. Asif Naeem:
A swarm intelligence based clustering approach for outlier detection. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c4]M. Asif Naeem, Gillian Dobbie, Gerald Weber, Shafiq Alam
:
R-MESHJOIN for near-real-time data warehousing. DOLAP 2010: 53-60 - [c3]Shafiq Alam
, Gillian Dobbie, Patricia Riddle, M. Asif Naeem:
Particle Swarm Optimization Based Hierarchical Agglomerative Clustering. IAT 2010: 64-68
2000 – 2009
- 2009
- [c2]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
Comparing Global Optimization and Default Settings of Stream-Based Joins - (Experimental Paper). BIRTE 2009: 155-170 - 2008
- [c1]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
An Event-Based Near Real-Time Data Integration Architecture. EDOCW 2008: 401-404
Coauthor Index
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