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2020 – today
- 2024
- [j43]Mahatab Uddin, Ataharul Chowdhury, Muhammad Ashad Kabir:
Legal and ethical aspects of deploying artificial intelligence in climate-smart agriculture. AI Soc. 39(1): 221-234 (2024) - [j42]Ricky Sinclair, Sadia Nodi, Muhammad Ashad Kabir:
Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions. Comput. Electron. Agric. 216: 108527 (2024) - [j41]Mahir Habib, Muhammad Ashad Kabir, Lihong Zheng, Shawn McGrath:
LEI: Livestock Event Information schema for enabling data sharing. Comput. Electron. Agric. 220: 108874 (2024) - [j40]Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir, Sumaiya Amin, Anik Das:
Smartphone apps for child sexual abuse education: gaps and design considerations. Int. J. Mob. Learn. Organisation 18(1): 101-134 (2024) - [j39]Muhammad Ashad Kabir, Sabiha Samad, Fahmida Ahmed, Samsun Naher, Jill Featherston, Craig Laird, Sayed Ahmed:
Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities. J. Medical Syst. 48(1): 80 (2024) - [j38]Md. Nahidul Islam Opu, Md Ekramul Hossain, Muhammad Ashad Kabir:
Handwritten Bangla character recognition using convolutional neural networks: a comparative study and new lightweight model. Neural Comput. Appl. 36(1): 337-348 (2024) - [j37]Mahir Habib, Muhammad Ashad Kabir, Lihong Zheng:
LEI2JSON: Schema-based validation and conversion of livestock event information. SoftwareX 26: 101629 (2024) - [j36]Israq Ahmed Anik, A. H. M. Kamal, Muhammad Ashad Kabir, Shahadat Uddin, Mohammad Ali Moni:
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. IEEE Trans. Artif. Intell. 5(10): 4938-4947 (2024) - [i35]Mahathir Mohammad Bishal, Md. Rakibul Hassan Chowdory, Anik Das, Muhammad Ashad Kabir:
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions. CoRR abs/2402.09897 (2024) - [i34]Sheikh Mohammed Shariful Islam, Moloud Abrar, Teketo Tegegne, Liliana Loranjo, Chandan Karmakar, Md. Abdul Awal, Md. Shahadat Hossain, Muhammad Ashad Kabir, Mufti Mahmud, Abbas Khosravi, George Siopis, Jeban Chandir Moses, Ralph Maddison:
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data. CoRR abs/2407.16721 (2024) - [i33]Mrim M. Alnfiai, Muhammad Ashad Kabir:
Exploring the Impact of Word Prediction Assistive Features on Smartphone Keyboards for Blind Users. CoRR abs/2408.10791 (2024) - [i32]Mehedi Tajrian, Azizur Rahman, Muhammad Ashad Kabir, Md. Rafiqul Islam:
Analysis of child development facts and myths using text mining techniques and classification models. CoRR abs/2408.13091 (2024) - [i31]Md. Sohanur Rahman, Muhammad E. H. Chowdhury, Hasib Ryan Rahman, Mosabber Uddin Ahmed, Muhammad Ashad Kabir, Sanjiban Sekhar Roy, Rusab Sarmun:
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier. CoRR abs/2410.12584 (2024) - [i30]Danny Falero, Muhammad Ashad Kabir, Nusrat Homaira:
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19. CoRR abs/2410.12589 (2024) - [i29]Rishal Ravikesh Chand, Neeraj Anand Sharma, Muhammad Ashad Kabir:
Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques. CoRR abs/2410.12605 (2024) - 2023
- [j35]Mehedi Tajrian, Azizur Rahman, Muhammad Ashad Kabir, Md. Rafiqul Islam:
A Review of Methodologies for Fake News Analysis. IEEE Access 11: 73879-73893 (2023) - [j34]Luke Bartlett, Muhammad Ashad Kabir, Jun Han:
A Review on Business Process Management System Design: The Role of Virtualization and Work Design. IEEE Access 11: 116786-116819 (2023) - [j33]Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Mohammed Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni:
An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder. Comput. 12(5): 92 (2023) - [j32]Habiba Sultana, A. H. M. Kamal, Gahangir Hossain, Muhammad Ashad Kabir:
A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method. Future Internet 15(3): 108 (2023) - [j31]Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, Md. Abul Ala Walid, Sakifa Aktar, Naif Mohammed Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni:
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh. Inf. 14(7): 376 (2023) - [c46]Dylan Warman, David Tien, Muhammad Ashad Kabir:
A Review of Systems for Educational User Data Storage and Security Through Decentralised Blockchain Storage Systems. ICMLC 2023: 594-600 - [c45]Umashankar Upadhyay, Eshita Dhar, Sherali Bomrah, Yarou Huang, Mohy Uddin, Muhammad Ashad Kabir, Shabbir Syed-Abdul:
The Impact of Social and Broadcast Media on Public Health Initiatives: Study of the COVID-19 Infodemics. MedInfo 2023: 469-473 - [i28]Muhammad Riaz Hasib Hossain, Muhammad Ashad Kabir:
Machine Learning Techniques for Estimating Soil Moisture from Mobile Captured Images. CoRR abs/2303.11527 (2023) - [i27]Sayed Ahmed, Muhammad Ashad Kabir, Muhammad E. H. Chowdhury, Susan Nancarrow:
AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications. CoRR abs/2309.13049 (2023) - [i26]Dylan Warman, Muhammad Ashad Kabir:
COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News. CoRR abs/2310.13890 (2023) - [i25]Abdul Aziz, Nihad Karim Chowdhury, Muhammad Ashad Kabir, Abu Nowshed Chy, Md Jawad Siddique:
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data. CoRR abs/2310.14143 (2023) - [i24]Mahir Habib, Muhammad Ashad Kabir, Lihong Zheng:
LEI2JSON: Schema-based Validation and Conversion of Livestock Event Information. CoRR abs/2310.17414 (2023) - [i23]Mahir Habib, Muhammad Ashad Kabir, Lihong Zheng, Shawn McGrath:
LEI: Livestock Event Information Schema for Enabling Data Sharing. CoRR abs/2310.17684 (2023) - 2022
- [j30]Jahedul Islam, Amril Nazir, Md. Moinul Hossain, Hitmi Khalifa Alhitmi, Muhammad Ashad Kabir, Abdul-Halim M. Jallad:
A Surrogate Assisted Quantum-Behaved Algorithm for Well Placement Optimization. IEEE Access 10: 17828-17844 (2022) - [j29]Javeriah Saleem, Rafiqul Islam, Muhammad Ashad Kabir:
The Anonymity of the Dark Web: A Survey. IEEE Access 10: 33628-33660 (2022) - [j28]Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Sheikh Mohammed Shariful Islam:
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. Comput. Biol. Medicine 145: 105405 (2022) - [j27]Md. Nahidul Islam Opu, Md. Rakibul Islam, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam:
Learn2Write: Augmented Reality and Machine Learning-Based Mobile App to Learn Writing. Comput. 11(1): 4 (2022) - [j26]Md. Arafat Hossain, Jiaojiao Jiang, Jun Han, Muhammad Ashad Kabir, Jean-Guy Schneider, Chengfei Liu:
Inferring data model from service interactions for response generation in service virtualization. Inf. Softw. Technol. 145: 106803 (2022) - [j25]Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam:
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. Intell. Syst. Appl. 15: 200103 (2022) - [j24]Omar Sharif, Md. Rafiqul Islam, Md Zobaer Hasan, Muhammad Ashad Kabir, Md Emran Hasan, Salman A. AlQahtani, Guandong Xu:
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. J. Heal. Informatics Res. 6(1): 72-90 (2022) - [j23]Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury:
A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging. Quant. Biol. 10(2): 188 (2022) - [j22]Riyad Bin Rafiq, Kazi Miftahul Hoque, Muhammad Ashad Kabir, Sayed Ahmed, Craig Laird:
OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans. Sensors 22(23): 9554 (2022) - [j21]A. R. Sanaullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu:
Applications of machine learning for COVID-19 misinformation: a systematic review. Soc. Netw. Anal. Min. 12(1): 94 (2022) - [j20]Md. Arafat Hossain, Jun Han, Jean-Guy Schneider, Jiaojiao Jiang, Muhammad Ashad Kabir, Steve Versteeg:
Extracting Formats of Service Messages with Varying Payloads. ACM Trans. Internet Techn. 22(3): 71:1-71:31 (2022) - [c44]Belal Alsinglawi, Lihong Zheng, Muhammad Ashad Kabir, Md Zahidul Islam, Dave Swain, Will Swain:
Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities. AINA (3) 2022: 556-566 - [c43]Sharifa Sultana, Sadia Tasnuva Pritha, Rahnuma Tasnim, Anik Das, Rokeya Akter, Shaid Hasan, S. M. Raihanul Alam, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed:
'ShishuShurokkha': A Transformative Justice Approach for Combating Child Sexual Abuse in Bangladesh. CHI 2022: 577:1-577:23 - [i22]Ayesha Siddiqua, Muhammad Ashad Kabir, Tanzina Ferdous, Israt Bintea Ali, Leslie A. Weston:
Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations. CoRR abs/2208.02446 (2022) - [i21]Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam:
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps. CoRR abs/2208.02490 (2022) - [i20]Ricky Sinclair, Muhammad Ashad Kabir:
Understanding the Effect of Smartphone Cameras on Estimating Munsell Soil Colors from Imagery. CoRR abs/2210.06667 (2022) - [i19]Md Ekramul Hossain, Muhammad Ashad Kabir, Lihong Zheng, Dave L. Swain, Shawn McGrath, Jonathan Medway:
A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions. CoRR abs/2210.09215 (2022) - [i18]Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir, Shawn McGrath, Jonathan Medway, Dave Swain, Will Swain:
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis. CoRR abs/2210.11939 (2022) - 2021
- [j19]Imran Chowdhury, Abdul Moeid, Enamul Hoque, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam:
Designing and Evaluating Multimodal Interactions for Facilitating Visual Analysis With Dashboards. IEEE Access 9: 60-71 (2021) - [j18]Jahedul Islam, Sheikh Tanzim Meraj, Ammar Masaoud, Md. Apel Mahmud, Amril Nazir, Muhammad Ashad Kabir, Md. Moinul Hossain, Farhan Mumtaz:
Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters. IEEE Access 9: 103610-103626 (2021) - [j17]Muhammad Ashad Kabir, Jun Han, Md. Arafat Hossain, Steve Versteeg:
SpecMiner: Heuristic-based mining of service behavioral models from interaction traces. Future Gener. Comput. Syst. 117: 59-71 (2021) - [j16]Md. Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam:
Detecting autism spectrum disorder using machine learning techniques. Health Inf. Sci. Syst. 9(1): 17 (2021) - [j15]Anik Das, Sumaiya Amin, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam:
FoodCalorie: A Mobile Game to Learn Daily Calorie Intake Standard. Int. J. Game Based Learn. 11(2): 61-81 (2021) - [j14]Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, Noortaz Rezoana:
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19. PeerJ Comput. Sci. 7: e551 (2021) - [j13]Nayeem Hasan, Md. Saiful Islam, Wenyu Chen, Muhammad Ashad Kabir, Saad Al-Ahmadi:
Encryption Based Image Watermarking Algorithm in 2DWT-DCT Domains. Sensors 21(16): 5540 (2021) - [j12]Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Automatically Assessing Quality of Online Health Articles. IEEE J. Biomed. Health Informatics 25(2): 591-601 (2021) - [j11]Jing Li, Zhenchang Xing, Muhammad Ashad Kabir:
Leveraging Official Content and Social Context to Recommend Software Documentation. IEEE Trans. Serv. Comput. 14(2): 472-486 (2021) - [c42]Mohammad Rashidujjaman Rifat, Mahiratul Jannat, Mahdi Nasrullah Al-Ameen, S. M. Taiabul Haque, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed:
Purdah, Amanah, and Gheebat: Understanding Privacy in Bangladeshi "pious" Muslim Communities. COMPASS 2021: 199-214 - [c41]Ashish Pondit, Muhammad Eshaque Ali Rukon, Anik Das, Muhammad Ashad Kabir:
BenAV: a Bengali Audio-Visual Corpus for Visual Speech Recognition. ICONIP (2) 2021: 526-535 - [c40]Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu:
ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. IV 2021: 48-53 - [i17]Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir, Sumaiya Amin, Anik Das:
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines. CoRR abs/2107.01596 (2021) - [i16]Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury:
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging. CoRR abs/2108.04344 (2021) - [i15]Ananya Bhattacharjee, S. M. Taiabul Haque, Abdul Hady, S. M. Raihanul Alam, Mashfiqui Rabbi, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed:
Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study. CoRR abs/2109.02838 (2021) - [i14]Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman:
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification. CoRR abs/2110.00508 (2021) - [i13]A. R. Sana Ullah, Anupam Das, Anik Das, Muhammad Ashad Kabir, Kai Shu:
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues. CoRR abs/2110.00737 (2021) - 2020
- [j10]Samrah Arif, M. Arif Khan, Sabih ur Rehman, Muhammad Ashad Kabir, Muhammad Imran:
Investigating Smart Home Security: Is Blockchain the Answer? IEEE Access 8: 117802-117816 (2020) - [j9]Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir:
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images. Health Inf. Sci. Syst. 8(1): 27 (2020) - [c39]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c38]Imran Chowdhury, Abdul Moeid, Enamul Hoque, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam:
MIVA: Multimodal Interactions for Facilitating Visual Analysis with Multiple Coordinated Views. IV 2020: 714-717 - [i12]Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Automatically Assessing Quality of Online Health Articles. CoRR abs/2004.05113 (2020) - [i11]Nihad Karim Chowdhury, Md. Muhtadir Rahman, Muhammad Ashad Kabir:
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images. CoRR abs/2007.14777 (2020) - [i10]Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan, Manoranjan Paul:
Towards Domain-Specific Characterization of Misinformation. CoRR abs/2007.14806 (2020) - [i9]Muhammad Ashad Kabir, Sowmen Rahman, Mohammad Mainul Islam, Sayed Ahmed, Craig Laird:
Mobile Apps for Foot Measurement: A Scoping Review. CoRR abs/2009.04198 (2020) - [i8]Anik Das, Sumaiya Amin, Muhammad Ashad Kabir, Md. Sabir Hossain, Mohammad Mainul Islam:
FoodCalorie: A Mobile Game to Learn Daily Calorie Intake Standard. CoRR abs/2009.05802 (2020) - [i7]Nihad Karim Chowdhury, Md. Muhtadir Rahman, Noortaz Rezoana, Muhammad Ashad Kabir:
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays. CoRR abs/2009.11850 (2020) - [i6]Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed:
Mental Health and Sensing. CoRR abs/2009.12488 (2020) - [i5]Md. Delowar Hossain, Muhammad Ashad Kabir, Adnan Anwar, Md Zahidul Islam:
Detecting Autism Spectrum Disorder using Machine Learning. CoRR abs/2009.14499 (2020) - [i4]Muhammad Ashad Kabir, Jun Han, Md. Arafat Hossain, Steve Versteeg:
Heuristic-based Mining of Service Behavioral Models from Interaction Traces. CoRR abs/2011.00431 (2020)
2010 – 2019
- 2019
- [j8]Mohammad Khubeb Siddiqui, Md Zahidul Islam, Muhammad Ashad Kabir:
A novel quick seizure detection and localization through brain data mining on ECoG dataset. Neural Comput. Appl. 31(9): 5595-5608 (2019) - [c37]Mohammad Fahim Abrar, Md. Rakibul Islam, Md. Sabir Hossain, Mohammad Mainul Islam, Muhammad Ashad Kabir:
Augmented Reality in Education: A Study on Preschool Children, Parents, and Teachers in Bangladesh. HCI (10) 2019: 217-229 - [c36]Muhammad Rafiqul Islam, Manoranjan Paul, Michael Antolovich, Ashad Kabir:
Sports Highlights Generation using Decomposed Audio Information. ICME Workshops 2019: 579-584 - [c35]Sameer Dhoju, Md Main Uddin Rony, Muhammad Ashad Kabir, Naeemul Hassan:
A Large-Scale Analysis of Health Journalism by Reliable and Unreliable Media. MedInfo 2019: 93-97 - [c34]Md. Delowar Hossain, Muhammad Ashad Kabir:
Detecting Child Autism Using Classification Techniques. MedInfo 2019: 1447-1448 - [c33]Mohammad Jabed Morshed Chowdhury, Alan Colman, Muhammad Ashad Kabir, Jun Han, Paul Sarda:
Continuous Authorization in Subject-Driven Data Sharing Using Wearable Devices. TrustCom/BigDataSE 2019: 327-333 - [c32]Sameer Dhoju, Md Main Uddin Rony, Muhammad Ashad Kabir, Naeemul Hassan:
Differences in Health News from Reliable and Unreliable Media. WWW (Companion Volume) 2019: 981-987 - 2018
- [j7]Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior. Comput. J. 61(3): 349-368 (2018) - [j6]Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, Abu Raihan M. Kamal, Hua Wang, Anwaar Ulhaq:
Depression detection from social network data using machine learning techniques. Health Inf. Sci. Syst. 6(1): 8 (2018) - [c31]Mohammad Jabed Morshed Chowdhury, Alan Colman, Jun Han, Muhammad Ashad Kabir:
A system architecture for subject-centric data sharing. ACSW 2018: 4:1-4:10 - [c30]Mohammad Jabed Morshed Chowdhury, Alan Colman, Jun Han, Muhammad Ashad Kabir:
A Policy Framework for Subject-Driven Data Sharing. HICSS 2018: 1-10 - [c29]Mohammad Jabed Morshed Chowdhury, Alan Colman, Muhammad Ashad Kabir, Jun Han, Paul Sarda:
Blockchain as a Notarization Service for Data Sharing with Personal Data Store. TrustCom/BigDataSE 2018: 1330-1335 - [c28]Mohammad Jabed Morshed Chowdhury, Alan Colman, Muhammad Ashad Kabir, Jun Han, Paul Sarda:
Blockchain Versus Database: A Critical Analysis. TrustCom/BigDataSE 2018: 1348-1353 - [c27]Paul Sarda, Mohammad Jabed Morshed Chowdhury, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Blockchain for Fraud Prevention: A Work-History Fraud Prevention System. TrustCom/BigDataSE 2018: 1858-1863 - [c26]Md. Arafat Hossain, Steve Versteeg, Jun Han, Muhammad Ashad Kabir, Jiaojiao Jiang, Jean-Guy Schneider:
Mining accurate message formats for service APIs. SANER 2018: 266-276 - [i3]Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior. CoRR abs/1811.09577 (2018) - 2017
- [c25]Mohammad Khubeb Siddiqui, Md Zahidul Islam, Muhammad Ashad Kabir:
Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure. ADMA 2017: 386-398 - [c24]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior. AusDM 2017: 72-85 - [c23]Muhammad Ashad Kabir, Zhenchang Xing, Prakash Chandrasekaran, Shang-Wei Lin:
Process Patterns: Reusable Design Artifacts for Business Process Models. COMPSAC (1) 2017: 714-721 - [c22]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
An effective call prediction model based on noisy mobile phone data. UbiComp/ISWC Adjunct 2017: 193-196 - [c21]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Designing architecture of a rule-based system for managing phone call interruptions. UbiComp/ISWC Adjunct 2017: 898-903 - [c20]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Understanding recency-based behavior model for individual mobile phone users. UbiComp/ISWC Adjunct 2017: 916-921 - [c19]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan W. Colman, Jun Han:
An Approach to Modeling Call Response Behavior on Mobile Phones Based on Multi-Dimensional Contexts. MOBILESoft@ICSE 2017: 91-95 - [c18]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Identifying Recent Behavioral Data Length in Mobile Phone Log. MobiQuitous 2017: 545-546 - [c17]Xuejiao Zhao, Zhenchang Xing, Muhammad Ashad Kabir, Naoya Sawada, Jing Li, Shang-Wei Lin:
HDSKG: Harvesting domain specific knowledge graph from content of webpages. SANER 2017: 56-67 - [i2]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
An Improved Naive Bayes Classifier-based Noise Detection Technique for Classifying User Phone Call Behavior. CoRR abs/1710.04461 (2017) - [i1]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Identifying Recent Behavioral Data Length in Mobile Phone Log. CoRR abs/1711.06837 (2017) - 2016
- [b1]Muhammad Ashad Kabir, Jun Han, Alan Colman:
Pervasive Social Computing - Socially-Aware Pervasive Systems and Mobile Applications. Springer 2016, ISBN 978-3-319-29949-5, pp. 1-282 - [c16]Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Behavior-Oriented Time Segmentation for Mining Individualized Rules of Mobile Phone Users. DSAA 2016: 488-497 - [c15]Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users. DSAA 2016: 584-593 - [c14]Iqbal H. Sarker, Alan W. Colman, Muhammad Ashad Kabir, Jun Han:
Understanding individuals phone call behavior for calendar events. UbiComp Adjunct 2016: 605-607 - [c13]Iqbal H. Sarker, Alan W. Colman, Muhammad Ashad Kabir, Jun Han:
Phone call log as a context source to modeling individual user behavior. UbiComp Adjunct 2016: 630-634 - [c12]Muhammad Ashad Kabir, Jun Han, Alan W. Colman, Naif R. Aljohani, Mohammed Basheri, Zhenchang Xing, Shang-Wei Lin:
Engineering Socially-Aware Systems and Applications. ICECCS 2016: 81-90 - [c11]