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2020 – today
- 2024
[j33]Soroor Motie
, Bijan Raahemi:
Financial fraud detection using graph neural networks: A systematic review. Expert Syst. Appl. 240: 122156 (2024)- [c32]Tin H. Pham, Bijan Raahemi:
An Adaptive Quantum-based Genetic Algorithm Feature Selection for Outlier Detection. CoDIT 2024: 1034-1039 - 2023
- [j32]Tin H. Pham, Bijan Raahemi:
Bio-Inspired Feature Selection Algorithms With Their Applications: A Systematic Literature Review. IEEE Access 11: 43733-43758 (2023) - [j31]Matin N. Ashtiani, Bijan Raahemi:
News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review. Expert Syst. Appl. 217: 119509 (2023) - 2022
- [j30]Matin N. Ashtiani, Bijan Raahemi:
Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review. IEEE Access 10: 72504-72525 (2022) - [j29]Waeal J. Obidallah, Bijan Raahemi, Waleed Rashideh:
Multi-Layer Web Services Discovery Using Word Embedding and Clustering Techniques. Data 7(5): 57 (2022) - [j28]Mahboobeh Riahi-Madvar, Ahmad Akbari Azirani, Babak Nasersharif, Bijan Raahemi:
Subspace-based outlier detection using linear programming and heuristic techniques. Expert Syst. Appl. 207: 117955 (2022) - [j27]Boshra Pishgoo, Ahmad Akbari Azirani, Bijan Raahemi:
A dynamic feature selection and intelligent model serving for hybrid batch-stream processing. Knowl. Based Syst. 256: 109749 (2022) - 2021
- [j26]Boshra Pishgoo, Ahmad Akbari Azirani, Bijan Raahemi:
A hybrid distributed batch-stream processing approach for anomaly detection. Inf. Sci. 543: 309-327 (2021) - [j25]Mahboobeh Riahi-Madvar, Ahmad Akbari Azirani, Babak Nasersharif, Bijan Raahemi:
A new density-based subspace selection method using mutual information for high dimensional outlier detection. Knowl. Based Syst. 216: 106733 (2021) - 2020
- [j24]Waeal J. Obidallah, Bijan Raahemi, Umar Ruhi:
Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review. SN Comput. Sci. 1(1): 27:1-27:33 (2020) - [c31]Fatemeh Cheraghchi, Ibrahim Y. Abualhaol, Rafael Falcon, Rami S. Abielmona, Bijan Raahemi, Emil M. Petriu:
Distributed Multi-Objective Cooperative Coevolution Algorithm for Big-Data-Enabled Vessel Schedule Recovery Problem. CogSIMA 2020: 90-97
2010 – 2019
- 2018
- [j23]Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin:
Incremental anomaly detection using two-layer cluster-based structure. Inf. Sci. 429: 315-331 (2018) - [j22]Fatemeh Cheraghchi, Ibrahim Y. Abualhaol, Rafael Falcon, Rami S. Abielmona, Bijan Raahemi, Emil M. Petriu:
Modeling the speed-based vessel schedule recovery problem using evolutionary multiobjective optimization. Inf. Sci. 448-449: 53-74 (2018) - 2017
- [j21]Ila Dutta, Shantanu Dutta, Bijan Raahemi:
Detecting financial restatements using data mining techniques. Expert Syst. Appl. 90: 374-393 (2017) - [j20]Taha Arian, Amir Kusedghi, Bijan Raahemi, Ahmad Akbari:
A Collaborative Load Balancer for Network Intrusion Detection in Cloud Environments. J. Comput. 12(1): 28-47 (2017) - [j19]Waeal J. Obidallah, Bijan Raahemi:
Managing Changes in Service Oriented Virtual Organizations: A Structural and Procedural Framework to Facilitate the Process of Change. J. Electron. Commer. Organ. 15(1): 59-83 (2017) - [j18]Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin:
A fast and noise resilient cluster-based anomaly detection. Pattern Anal. Appl. 20(1): 183-199 (2017) - [c30]Fatemeh Cheraghchi, Ibrahim Y. Abualhaol, Rafael Falcon, Rami S. Abielmona, Bijan Raahemi, Emil M. Petriu:
Big-data-enabled modelling and optimization of granular speed-based vessel schedule recovery problem. IEEE BigData 2017: 1786-1794 - [c29]Fatemeh Cheraghchi, Arash Iranzad, Bijan Raahemi:
Subspace selection in high-dimensional big data using genetic algorithm in apache spark. ICC 2017: 54:1-54:7 - [c28]Farzad Firozbakht, Waeal J. Obidallah, Bijan Raahemi:
Cloud computing service discovery framework for IaaS and PaaS models. ICC 2017: 82:1-82:6 - [c27]Waeal J. Obidallah, Bijan Raahemi:
A survey on web service discovery approaches. ICC 2017: 156:1-156:8 - 2016
- [c26]Arina Esmaeilpour, Elnaz Bigdeli, Fatemeh Cheraghchi, Bijan Raahemi, Behrouz H. Far:
Distributed Gaussian Mixture Model Summarization Using the MapReduce Framework. Canadian AI 2016: 323-335 - [c25]Elham Akhond Zadeh Noughabi, Behrouz H. Far, Bijan Raahemi:
Predicting Students' Behavioral Patterns in University Networks for Efficient Bandwidth Allocation: A Hybrid Data Mining Method (Application Paper). IRI 2016: 102-109 - [c24]Waeal J. Obidallah, Bijan Raahemi:
A Taxonomy to Characterize Web Service Discovery Approaches, Looking at Five Perspectives. SOSE 2016: 458-459 - [c23]Waeal J. Obidallah, Umar Ruhi, Bijan Raahemi:
Current Landscape of Web Service Discovery: A Typology Based on Five Characteristics. WI 2016: 678-683 - 2015
- [j17]Mahdi Mohammadi, Bijan Raahemi, Saeed Adel Mehraban, Elnaz Bigdeli, Ahmad Akbari:
An enhanced noise resilient K-associated graph classifier. Expert Syst. Appl. 42(21): 8283-8293 (2015) - [j16]Mahdi Mohammadi, Bijan Raahemi, Ahmad Akbari:
A geometric density-based sample reduction method. Intell. Data Anal. 19(6): 1233-1257 (2015) - [j15]Mahdi Mohammadi, Fadwa Al-Azab, Bijan Raahemi, Gregory Richards, Natalia Jaworska, Dylan Smith, Sara de la Salle, Pierre Blier, Verner Knott:
Data mining EEG signals in depression for their diagnostic value. BMC Medical Informatics Decis. Mak. 15: 108 (2015) - [j14]Hassan Asgharian, Ahmad Akbari, Bijan Raahemi:
Feature engineering for detection of Denial of Service attacks in session initiation protocol. Secur. Commun. Networks 8(8): 1587-1601 (2015) - [c22]Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin:
Incremental Cluster Updating Using Gaussian Mixture Model. Canadian AI 2015: 264-272 - [c21]Mohammad Hossein Tekieh, Bijan Raahemi:
Importance of Data Mining in Healthcare: A Survey. ASONAM 2015: 1057-1062 - [c20]Morooj Safdar, Gregory Richards, Bijan Raahemi:
A Model of Effective IT Governance for Collaborative Networked Organizations. ICE-B 2015: 191-202 - 2014
- [j13]Seyed Abdolmotalleb Izad Shenas, Bijan Raahemi, Mohammad Hossein Tekieh, Craig E. Kuziemsky:
Identifying high-cost patients using data mining techniques and a small set of non-trivial attributes. Comput. Biol. Medicine 53: 9-18 (2014) - [j12]Maryam Roodaki, Kaamran Raahemifar, Bijan Raahemi:
Analysis of Quality of Services in LTE and Mobile WiMAX. Comput. Electr. Eng. 40(5): 1508-1523 (2014) - [j11]Mehdi Mohammadi, Ahmad Akbari, Bijan Raahemi, Babak Nasersharif, Hassan Asgharian:
A fast anomaly detection system using probabilistic artificial immune algorithm capable of learning new attacks. Evol. Intell. 6(3): 135-156 (2014) - [c19]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari:
A Clustering Density-Based Sample Reduction Method. Canadian AI 2014: 319-325 - [c18]Mohammad Mahdi Mohammadi, Bijan Raahemi, Fatemeh Cheraghchi, Waeal J. Obidallah, Elnaz Bigdeli:
Big data analytics using hadoop. CASCON 2014: 323-325 - [c17]Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin:
Arbitrary Shape Cluster Summarization with Gaussian Mixture Model. KDIR 2014: 43-52 - [c16]Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin:
Cluster Summarization with Dense Region Detection. IC3K (Selected Papers) 2014: 68-83 - [c15]Mahdi Mohammadi, Saeed Adel Mehraban, Elnaz Bigdeli, Bijan Raahemi, Ahmad Akbari:
A Noise Resilient and Non-parametric Graph-based Classifier. KDIR 2014: 170-175 - [c14]Waeal J. Obidallah, Bijan Raahemi, Fahad Saleh Alaieri:
Change Processes and Procedures in Service Oriented Virtual Organizations and Collaborative Network. MEDES 2014: 50-55 - [c13]Waeal J. Obidallah, Bijan Raahemi:
Change Management in Service Oriented Virtual Organizations - A Structural Framework to Identify the Impacts and Triggers of Changes. WEBIST (1) 2014: 346-353 - 2013
- [j10]Ehsan Tavakoli, Mahmoud Tabandeh, Sara Kaffash, Bijan Raahemi:
Multi-hop communications on wireless network-on-chip using optimized phased-array antennas. Comput. Electr. Eng. 39(7): 2068-2085 (2013) - [j9]Weicai Zhong, Bijan Raahemi, Jing Liu:
Classifying peer-to-peer applications using imbalanced concept-adapting very fast decision tree on IP data stream. Peer-to-Peer Netw. Appl. 6(3): 233-246 (2013) - [c12]Waeal J. Obidallah, Bijan Raahemi, S. M. Amin Kamali, Mohammad H. Danesh:
Service oriented virtual organizations: A service change management perspective. CCECE 2013: 1-6 - 2012
- [j8]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari, Babak Nasersharif, Hossein Moeinzadeh:
Improving linear discriminant analysis with artificial immune system-based evolutionary algorithms. Inf. Sci. 189: 219-232 (2012) - [j7]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari, Babak Nasersharif:
New class-dependent feature transformation for intrusion detection systems. Secur. Commun. Networks 5(12): 1296-1311 (2012) - [c11]Mohammad H. Danesh, Bijan Raahemi, S. M. Amin Kamali, Gregory Richards:
A distributed service oriented infrastructure for business process management in Virtual Organizations. CCECE 2012: 1-6 - [c10]Mehdi Mohammadi, Ahmad Akbari, Bijan Raahemi, Babak Nasersharif:
A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Based Algorithm. ICARIS 2012: 205-217 - [c9]S. M. Amin Kamali, Gregory Richards, Mohammad H. Danesh, Bijan Raahemi:
A Framework for Performance Measurement in Service Oriented Virtual Organizations - A Value Network Approach to Collaborative Performance Measurement. DCNET/ICE-B/OPTICS 2012: 263-271 - 2011
- [j6]Mehdi Mohammadi, Bijan Raahemi, Ahmad Akbari, Hossein Moeinzadeh, Babak Nasersharif:
Genetic-based minimum classification error mapping for accurate identifying Peer-to-Peer applications in the internet traffic. Expert Syst. Appl. 38(6): 6417-6423 (2011) - [j5]Pingfeng Liu, Bijan Raahemi, Morad Benyoucef:
Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective. Knowl. Based Syst. 24(3): 427-443 (2011) - [c8]Gregory Richards, Bijan Raahemi:
Workshop on information management for situational analytics. CASCON 2011: 321-322 - 2010
- [j4]Bijan Raahemi, Ali Mumtaz:
Classification of Peer-to-Peer Traffic Using A Two-Stage Window-Based Classifier With Fast Decision Tree and IP Layer Attributes. Int. J. Data Warehous. Min. 6(3): 28-42 (2010) - [c7]Sara Lakani, Hossein Ghaffarian, Mahmood Fathy, Bijan Raahemi:
A neighbor-based holdoff reduction scheme for distributed scheduling in wireless mesh networks. WiMob 2010: 733-738
2000 – 2009
- 2009
- [j3]Bijan Raahemi, Weicai Zhong, Jing Liu:
Exploiting unlabeled data to improve peer-to-peer traffic classification using incremental tri-training method. Peer-to-Peer Netw. Appl. 2(2): 87-97 (2009) - [c6]Modjtaba Khalidji, Hossein Moeinzadeh, Ahmad Akbari, Bijan Raahemi:
LDA Pre-processing for Classification: Class-Dependent Single Objective GA and Multi-objective GA Approaches. IDEAL 2009: 457-464 - [c5]Weicai Zhong, Bijan Raahemi, Jing Liu:
Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques. IJCNN 2009: 3548-3554 - 2008
- [j2]Shahzad Khan, Bijan Raahemi:
Dynamics and Future of the Information and Communication Technology Sector in Canada. Int. J. Bus. Data Commun. Netw. 4(3): 52-68 (2008) - [c4]Bijan Raahemi, Ali Mumtaz:
A Two-Stage Architecture for Classification of Peer-to-Peer Traffic Using Fast Decision Tree. DMIN 2008: 144-149 - [c3]Bijan Raahemi, Weicai Zhong, Jing Liu:
Peer-to-Peer Traffic Identification by Mining IP Layer Data Streams Using Concept-Adapting Very Fast Decision Tree. ICTAI (1) 2008: 525-532 - 2007
- [j1]Bijan Raahemi, Ahmad Hayajneh, Peter Rabinovitch:
Peer-to-Peer IP Traffic Classification Using Decision Tree and IP Layer Attributes. Int. J. Bus. Data Commun. Netw. 3(4): 60-74 (2007) - [c2]Bijan Raahemi, Ahmad Hayajneh, Peter Rabinovitch:
Classification of Peer-to-Peer Traffic Using Neural Networks. Artificial Intelligence and Pattern Recognition 2007: 411-417 - 2006
- [c1]Bijan Raahemi, Bashar Bou-Diab:
A Minimum-Cost Resilient Tree-Based VPLS for Digital TV Broadcast Services. CCECE 2006: 995-998
Coauthor Index
aka: Mehdi Mohammadi
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