Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBehrouz Homayoun Far
Behrouz H. Far
Person information
- affiliation: University of Calgary, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j32]Mohammad Mehdi Afsar
, Trafford Crump, Behrouz H. Far:
Reinforcement Learning based Recommender Systems: A Survey. ACM Comput. Surv. 55(7): 145:1-145:38 (2023)- 2022
- [j31]Fatemeh Sharifi, Emad A. Mohammed, Trafford Crump, Behrouz H. Far:
Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data. Appl. Artif. Intell. 36(1) (2022) - [j30]Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far:
Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Syst. Appl. 199: 116830 (2022) - [j29]Seyyed Mohammadreza Rahimi, Behrouz Homayoun Far, Xin Wang:
Contextual location recommendation for location-based social networks by learning user intentions and contextual triggers. GeoInformatica 26(1): 1-28 (2022) - [c149]Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
Sample Efficiency in Deep Reinforcement Learning based Recommender Systems with Imitation Learning. AI 2022 - [c148]Munima Jahan, Zahra Shakeri Hossein Abad, Behrouz H. Far:
Detecting Use Case Scenarios in Requirements Artifacts: A Deep Learning Approach. IEA/AIE 2022: 682-694 - [c147]Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Roberto Souza, Behrouz Homayoun Far:
Using SHAP Analysis to Detect Areas Contributing to Diabetic Retinopathy Detection. IRI 2022: 166-171 - [c146]Esmaeil Shakeri, Anja Slama, Roberto Souza, Behrouz Homayoun Far:
COVID-19 Vaccine Infodemiology using Unsupervised Natural Language Processing. IRI 2022: 178-183 - 2021
- [j28]Seyedehmehrnaz Mireslami, Logan Rakai, Mea Wang, Behrouz Homayoun Far:
Dynamic Cloud Resource Allocation Considering Demand Uncertainty. IEEE Trans. Cloud Comput. 9(3): 981-994 (2021) - [c145]Esmaeil Shakeri, Emad A. Mohammed, Zahra Shakeri Hossein Abad, Behrouz Homayoun Far:
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning. EMBC 2021: 2472-2475 - [c144]Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
An Exploration On-demand Article Recommender System for Cancer Patients Information Provisioning. FLAIRS 2021 - [c143]Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. IRI 2021: 326-333 - [c142]Emad A. Mohammed, Esmaeil Shakeri, Zahra Shakeri Hossein Abad, Trafford Crump, Behrouz H. Far:
Important Features Identification for Prostate Cancer Patients Stratification Using Isolation Forest and Interactive Clustering Method. IRI 2021: 334-341 - [c141]Anja Slama, Zahra Shakeri Hossein Abad, Behrouz H. Far:
Detection of Asynchronous Concatenation Emergent Behaviour in Multi-Agent Systems. KES-AMSTA 2021: 77-88 - [c140]Munima Jahan, Zahra Shakeri Hossein Abad, Behrouz H. Far:
Generating Sequence Diagram from Natural Language Requirements. RE Workshops 2021: 39-48 - [i7]Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
Reinforcement learning based recommender systems: A survey. CoRR abs/2101.06286 (2021) - [i6]Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. CoRR abs/2102.13517 (2021) - [i5]Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
A Load Balanced Recommendation Approach. CoRR abs/2105.09981 (2021) - [i4]Farid Talebloo, Emad A. Mohammed, Behrouz H. Far:
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis. CoRR abs/2109.08996 (2021) - [i3]Farid Talebloo, Emad A. Mohammed, Behrouz H. Far:
Deep Learning Approach for Aggressive Driving Behaviour Detection. CoRR abs/2111.04794 (2021) - 2020
- [j27]Seyyed Mohammadreza Rahimi, Behrouz Homayoun Far, Xin Wang:
Behavior-based location recommendation on location-based social networks. GeoInformatica 24(3): 477-504 (2020) - [c139]Mohammad Noaeen, Behrouz H. Far:
The Efficacy of Using Social Media Data for Designing Traffic Management Systems. CrowdRE@RE 2020: 11-17 - [c138]Esmaeil Shakeri, Behrouz H. Far:
Exploring the requirements of pandemic awareness systems: a case study of COVID-19 using social media data. ASE Workshops 2020: 33-40 - [c137]Munima Jahan, Zahra Shakeri Hossein Abad, Behrouz H. Far:
Detecting Emergent Behavior in Scenario-Based Specifications using a Probabilistic Model. MoDRE@RE 2020: 31-38 - [c136]Emad A. Mohammed, Christopher T. Naugler, Behrouz H. Far:
A Method for Alternatives Ranking Using an OWA Operator Based on the Laplace Distribution. SMC 2020: 88-95
2010 – 2019
- 2019
- [j26]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz H. Far:
Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles. IEEE Access 7: 127904-127919 (2019) - [j25]Faezeh Eshragh, Mozhdeh Shahbazi, Behrouz Homayoun Far:
Real-time opponent learning in automated negotiation using recursive Bayesian filtering. Expert Syst. Appl. 128: 28-53 (2019) - [c135]Seyyed Mohammadreza Rahimi, Rodrigo Augusto de Oliveira e Silva, Behrouz Homayoun Far, Xin Wang:
Optimized Random Walk with Restart for Recommendation Systems. Canadian Conference on AI 2019: 320-332 - [c134]Mohammad Mehdi Afsar, R. Trafford Crump, Behrouz H. Far:
Energy-Efficient Coalition Formation in Sensor Networks: a Game-Theoretic Approach. CCECE 2019: 1-6 - [c133]Mohammad Noaeen, Behrouz H. Far:
Social media analysis for traffic management. ICGSE 2019: 72-73 - [c132]Munima Jahan, Zahra Shakeri Hossein Abad, Behrouz H. Far:
Detecting emergent behaviors and implied scenarios in scenario-based specifications: a machine learning approach. MiSE@ICSE 2019: 8-14 - [c131]Zahra Shakeri Hossein Abad, Vincenzo Gervasi, Didar Zowghi, Behrouz H. Far:
Supporting analysts by dynamic extraction and classification of requirements-related knowledge. ICSE 2019: 442-453 - [c130]Fatemeh Sharifi, Emad A. Mohammed, Trafford Crump, Behrouz H. Far:
A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis. Innovate-Data 2019: 92-106 - 2018
- [c129]Zahra Shakeri Hossein Abad, Mohammad Noaeen, Didar Zowghi, Behrouz H. Far, Ken Barker:
Two Sides of the Same Coin: Software Developers' Perceptions of Task Switching and Task Interruption. EASE 2018: 175-180 - [c128]Sahil Dhankhad, Emad A. Mohammed, Behrouz H. Far:
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study. IRI 2018: 122-125 - [c127]Reeta Suman, Behrouz H. Far, Emad A. Mohammed, Ashok Nair, Sanaz Janbakhsh:
Visualization of Server Log Data for Detecting Abnormal Behaviour. IRI 2018: 244-247 - [c126]Sepideh Afkhami Goli, Behrouz H. Far, Abraham O. Fapojuwo:
Vehicle Trajectory Prediction with Gaussian Process Regression in Connected Vehicle Environment$\star$. Intelligent Vehicles Symposium 2018: 550-555 - [c125]Anja Slama, Fatemeh Hendijani Fard, Behrouz H. Far:
A Hybrid System for Detection of Implied Scenarios in Distributed Software Systems (S). SEKE 2018: 360-359 - [e1]Mohammad Moshirpour, Mahmood Moussavi, Alicia M. Grubb, Sarah Gregory, Behrouz H. Far:
8th IEEE International Workshop on Requirements Engineering Education and Training, REET@RE 2018, Banff, AB, Canada, August 21, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-8408-5 [contents] - [i2]Zahra Shakeri Hossein Abad, Mohammad Noaeen, Didar Zowghi, Behrouz H. Far, Ken Barker:
Two Sides of the Same Coin: Software Developers' Perceptions of Task Switching and Task Interruption. CoRR abs/1805.05504 (2018) - 2017
- [j24]Emad A. Mohammed, Mostafa M. A. Mohamed, Christopher Naugler, Behrouz H. Far:
Toward leveraging big value from data: chronic lymphocytic leukemia cell classification. Netw. Model. Anal. Health Informatics Bioinform. 6(1): 6 (2017) - [j23]Seyedehmehrnaz Mireslami, Logan Rakai, Behrouz Homayoun Far, Mea Wang:
Simultaneous Cost and QoS Optimization for Cloud Resource Allocation. IEEE Trans. Netw. Serv. Manag. 14(3): 676-689 (2017) - [c124]Faezeh Eshragh, Mozhdeh Shahbazi, Behrouz Homayoun Far:
Automated Dynamic Negotiation over Environmental Issues. IRI 2017: 92-99 - [c123]Seyyed Mohammadreza Rahimi, Xin Wang, Behrouz Homayoun Far:
Behavior-Based Location Recommendation on Location-Based Social Networks. PAKDD (2) 2017: 273-285 - [c122]Mohammad Noaeen, Zahra Shakeri Hossein Abad, Behrouz Homayoun Far:
Let's Hear it from RETTA: A Requirements Elicitation Tool for TrAffic Management Systems. RE 2017: 450-451 - [c121]Mostafa M. A. Mohamed, Mohamed F. Ibrahim, Behrouz H. Far:
Measuring the potential of zonal control in large open areas on reducing the heating/AC energy. SMC 2017: 2637-2642 - [i1]Mohammad Noaeen, Zahra Shakeri Hossein Abad, Behrouz Homayoun Far:
Let's hear it from RETTA: A Requirements Elicitation Tool for TrAffic management systems. CoRR abs/1707.01927 (2017) - 2016
- [j22]Emad A. Mohammed, Christopher T. Naugler, Behrouz H. Far:
Breast tumor classification using a new OWA operator. Expert Syst. Appl. 61: 302-313 (2016) - [c120]Arina Esmaeilpour, Elnaz Bigdeli, Fatemeh Cheraghchi, Bijan Raahemi, Behrouz H. Far:
Distributed Gaussian Mixture Model Summarization Using the MapReduce Framework. Canadian Conference on AI 2016: 323-335 - [c119]Hamdy A. Ibrahim, Ahmed K. Aly, Behrouz H. Far:
A system for vehicle collision and rollover detection. CCECE 2016: 1-6 - [c118]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz Homayoun Far:
Predicting Web service response time percentiles. CNSM 2016: 73-81 - [c117]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 - [c116]Hamdy Ibrahim, Behrouz H. Far:
Clustering and Artificial Neural Network Ensembles Based Effort Estimation. SEKE 2016: 301-308 - [c115]Mohamed F. Ibrahim, Mostafa M. A. Mohamed, Behrouz H. Far:
Measuring the effectiveness of zonal heating control for energy saving. SMC 2016: 132-136 - [p5]Elham Akhond Zadeh Noughabi, Behrouz H. Far, Amir Albadvi:
Intelligent Decision Making for Customer Dynamics Management Based on Rule Mining and Contrast Set Mining - A Segmentation Analysis Perspective. Theoretical Information Reuse and Integration 2016: 135-155 - [p4]Sepideh Afkhami Goli, Behrouz H. Far, Abraham O. Fapojuwo:
An Accurate Multi-sensor Multi-target Localization Method for Cooperating Vehicles. Theoretical Information Reuse and Integration 2016: 197-217 - 2015
- [j21]Mohammad Moshirpour, Shimaa M. El-Sherif, Reda Alhajj, Behrouz H. Far:
Verification of lack of emergent behavior in extending a social network of agents. Soc. Netw. Anal. Min. 5(1): 1:1-1:13 (2015) - [j20]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz Homayoun Far:
Managing Performance Interference in Cloud-Based Web Services. IEEE Trans. Netw. Serv. Manag. 12(3): 320-333 (2015) - [c114]Emad A. Mohammed, Charan Aulakh, Diwakar Krishnamurthy, Christopher T. Naugler, Behrouz H. Far:
Short-term travel time estimation: A case study. CCECE 2015: 489-496 - [c113]Hamdy Ibrahim, Behrouz H. Far:
Simulation-based benefit analysis of pattern recognition application in intelligent transportation systems. CCECE 2015: 507-512 - [c112]Seyedehmehrnaz Mireslami, Logan Rakai, Mea Wang, Behrouz Homayoun Far:
Minimizing Deployment Cost of Cloud-Based Web Application with Guaranteed QoS. GLOBECOM 2015: 1-6 - [c111]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz Homayoun Far:
Detecting performance interference in cloud-based web services. IM 2015: 423-431 - [c110]Sepideh Afkhami Goli, Behrouz H. Far, Abraham O. Fapojuwo:
Cooperative Multi-sensor Multi-vehicle Localization in Vehicular Adhoc Networks. IRI 2015: 142-149 - [c109]Elham Akhond Zadeh Noughabi, Amir Albadvi, Behrouz Homayoun Far:
How Can We Explore Patterns of Customer Segments' Structural Changes? A Sequential Rule Mining Approach. IRI 2015: 273-280 - [c108]Soheil Salehian, Behrouz H. Far:
Embedded Real Time Blink Detection System for Driver Fatigue Monitoring. SEKE 2015: 188-194 - 2014
- [j19]Emad A. Mohammed, Behrouz Homayoun Far, Christopher Naugler:
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends. BioData Min. 7: 22 (2014) - [c107]Lisa Graham, Mohammad Moshirpour, Michael Smith, Behrouz H. Far:
Designing interactive health care systems: Bridging the gap between patients and health care professionals. BHI 2014: 235-239 - [c106]Yasaman Amannejad, Mohammad Moshirpour, Behrouz Homayoun Far, Reda Alhajj:
From requirements to software design: An automated solution for packaging software classes. IRI 2014: 36-43 - [c105]Fatemeh Hendijani Fard, Behrouz H. Far:
Detection of implied scenarios in multiagent systems with clustering agents' communications. IRI 2014: 237-244 - [c104]Hamdy Ibrahim, Behrouz H. Far:
Data-oriented intelligent transportation systems. IRI 2014: 322-329 - [c103]Elahe Paikari, Mohammad Moshirpour, Reda Alhajj, Behrouz H. Far:
Data integration and clustering for real time crash prediction. IRI 2014: 537-544 - [c102]Elahe Paikari, Shahram Tahmasseby, Behrouz H. Far:
A simulation-based benefit analysis of deploying connected vehicles using dedicated short range communication. Intelligent Vehicles Symposium 2014: 980-985 - [c101]Elahe Paikari, Behrouz H. Far:
Analysis, Design and Implementation of an Agent Based System for Simulating Connected Vehicles. SEKE 2014: 338-343 - [c100]Charanjeet Kaur, Diwakar Krishnamurthy, Behrouz H. Far:
Using Web Mining to Support Low Cost Historical Vehicle Traffic Analytics. SEKE 2014: 365-370 - [c99]Maris Sekar, Mohammad Moshirpour, Julian Serfontein, Behrouz Homayoun Far:
Performance enhancement of Behavior-Based Safety of fleet management systems. SMC 2014: 3840-3845 - [p3]Fatemeh Hendijani Fard, Behrouz H. Far:
Detecting Neutral Nodes in a Network of Heterogeneous Agent Based System. Social Networks: Analysis and Case Studies 2014: 41-60 - [p2]Fatemeh Hendijani Fard, Behrouz H. Far:
On the Usage of Network Visualization for Multiagent System Verification. Online Social Media Analysis and Visualization 2014: 201-228 - 2013
- [j18]Mohsen Afsharchi, Arman Didandeh, Nima Mirbakhsh, Behrouz H. Far:
Common understanding in a multi-agent system using ontology-guided learning. Knowl. Inf. Syst. 36(1): 83-120 (2013) - [c98]Mohammad Moshirpour, Shimaa M. El-Sherif, Reda Alhajj, Behrouz H. Far:
Analyzing the scalability of a social network of agents. ASONAM 2013: 1-7 - [c97]Fatemeh Hendijani Fard, Behrouz H. Far:
Visualizing the network of software agents for verification of multiagent systems. ASONAM 2013: 1280-1281 - [c96]Mohammad Moshirpour, Nariman Mani, Armin Eberlein, Behrouz Homayoun Far:
Model based approach to detect emergent behavior in multi-agent systems. AAMAS 2013: 1285-1286 - [c95]Emad A. Mohammed, Behrouz H. Far, Mostafa M. A. Mohamed, Christopher Naugler:
Automatic working area localization in blood smear microscopic images using machine learning algorithms. BIBM 2013: 43-50 - [c94]Fatemeh Hendijani Fard, Behrouz H. Far:
Detecting a certain kind of emergent behavior in multi agent systems applied on mase methodology. CCECE 2013: 1-4 - [c93]Seyedehmehrnaz Mireslami, Behrouz H. Far:
Automated verification of AUML based multi-agent system design. CCECE 2013: 1-4 - [c92]Emad A. Mohammed, Mostafa M. A. Mohamed, Christopher Naugler, Behrouz H. Far:
Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding. CCECE 2013: 1-5 - [c91]Elham Paikari, Lina Kattan, Shahram Tahmasseby, Behrouz H. Far:
Modeling and simulation of advisory speed and re-routing strategies in connected vehicles systems for crash risk and travel time reduction. CCECE 2013: 1-4 - [c90]Emad A. Mohammed, Behrouz Homayoun Far, Mostafa M. A. Mohamed, Christopher Naugler:
Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation. Healthcom 2013: 622-626 - [c89]Fatemeh Hendijani Fard, Behrouz H. Far:
Detecting distributed software components that will not cause emergent behavior in asynchronous communication style. IRI 2013: 201-208 - [c88]Beenish Khurshid, Mohammad Moshirpour, Armin Eberlein, Behrouz H. Far:
An automated ontology generation technique for an emergent behavior detection system. IRI 2013: 380-387 - [c87]Mohammad Moshirpour, Armin Eberlein, Behrouz H. Far:
Automated Construction of System Domain Knowledge Using an Ontology-Based Approach (S). SEKE 2013: 63-66 - [c86]Seyedehmehrnaz Mireslami, Behrouz H. Far:
A System-Level Approach for Model-Based Verification of Distributed Software Systems. SMC 2013: 2545-2550 - [c85]Maris Sekar, Mohammad Moshirpour, Julian Serfontein, Behrouz H. Far:
Using Neuro-fuzzy Models to Benchmark Road Safety Management Systems. SMC 2013: 4012-4017 - [p1]Mohammad Moshirpour, Shimaa M. El-Sherif, Behrouz H. Far, Reda Alhajj:
Detecting Emergent Behavior in a Social Network of Agents. The Influence of Technology on Social Network Analysis and Mining 2013: 393-409 - 2012
- [j17]Mohammad Moshirpour, Abdolmajid Mousavi, Behrouz H. Far:
Detecting Emergent Behavior in Distributed Systems using Scenario-Based Specifications. Int. J. Softw. Eng. Knowl. Eng. 22(6): 729-746 (2012) - [j16]Lina Kattan, Mahmood Mousavi, Behrouz H. Far, Colin Harschnitz, Ahmad Radmanesh, Saeid Saidi:
Microsimulation Evaluation of the Potential Impacts of Vehicle-to-Vehicle Communication (V2V) in Disseminating Warning Information under High Incident Occurrence Conditions. Int. J. Intell. Transp. Syst. Res. 10(3): 137-147 (2012) - [c84]Fatemeh Hendijani Fard, Behrouz H. Far:
Clustering Social Networks to Remove Neutral Nodes. ASONAM 2012: 1289-1294 - [c83]Mostafa M. A. Mohamed, Behrouz H. Far:
An enhanced threshold based technique for white blood cells nuclei automatic segmentation. Healthcom 2012: 202-207 - [c82]Shimaa M. El-Sherif, Behrouz Homayoun Far, Armin Eberlein:
Machine Learning Module to Improve Communication between Agents in Multi-agent System. ICMLA (2) 2012: 295-300 - [c81]Mostafa Mohamed A. Mohamed, Behrouz H. Far:
A Fast Technique for White Blood Cells Nuclei Automatic Segmentation Based on Gram-Schmidt Orthogonalization. ICTAI 2012: 947-952 - [c80]Fatemeh Hendijani Fard, Behrouz H. Far:
A method for detecting agents that will not cause emergent behavior in agent based systems - A case study in agent based auction systems -. IRI 2012: 185-192 - [c79]Mohammad Moshirpour, Seyedehmehrnaz Mireslami, Reda Alhajj, Behrouz H. Far:
Automated ontology construction from scenario based software requirements using clustering techniques. IRI 2012: 541-547 - [c78]Seyedehmehrnaz Mireslami, Mohammad Moshirpour, Behrouz H. Far:
Detecting Emergent Behavior in Distributed Systems Caused by Overgeneralization. SEKE 2012: 70-73 - [c77]Shimaa M. El-Sherif, Behrouz Homayoun Far, Armin Eberlein:
Using Social Networks for Learning New Concepts in Multi-Agent Systems. SEKE 2012: 261-266 - [c76]Mostafa M. A. Mohamed, Behrouz H. Far, Amr Guaily:
An efficient technique for white blood cells nuclei automatic segmentation. SMC 2012: 220-225 - [c75]Mohammad Moshirpour, Payman Mohassel, Armin Eberlein, Behrouz H. Far:
Detection of emergent behavior for internet filtering systems. SMC 2012: 1755-1760 - [c74]Fatemeh Hendijani Fard, Behrouz H. Far:
Detecting emergent behavior in autonomous distributed systems with many components of the same type. SMC 2012: 1924-1929 - [c73]Mohammad Moshirpour, Seyedehmehrnaz Mireslami, Armin Eberlein, Behrouz H. Far:
A method to detect and remove emergent behavior caused by overgeneralization. SMC 2012: 2469-2474 - 2011
- [c72]Mohammad Moshirpour, Payman Mohassel, Behrouz H. Far:
Model based analysis of internet filtering systems. IRI 2011: 494-495 - [c71]Elham Paikari, Emadoddin Livani, Mohammad Moshirpour, Behrouz H. Far, Günther Ruhe:
Multi-Agent System for Semantic Web Service Composition. KSEM 2011: 305-317 - [c70]Mohammad Moshirpour, Reda Alhajj, Mahmood Moussavi, Behrouz H. Far:
Detecting emergent behavior in distributed systems using an ontology based methodology. SMC 2011: 2407-2412 - [c69]Shimaa M. El-Sherif, Armin Eberlein, Behrouz Homayoun Far:
Calculating the strength of ties of a social network in a semantic search system using hidden Markov models. SMC 2011: 2755-2760 - 2010
- [j15]Nariman Mani, Vahid Garousi, Behrouz H. Far:
Search-Based Testing of Multi-Agent Manufacturing Systems for Deadlocks Based on Models. Int. J. Artif. Intell. Tools 19(4): 417-437 (2010) - [c68]Shimaa M. El-Sherif, Behrouz Homayoun Far, Armin Eberlein:
Using social networks in resolving conflicts of concept learning process. CCECE 2010: 1-4 - [c67]Abdel Halim Elamy, Behrouz Homayoun Far:
Condition-based reliability modeling for systems with partial and standby redundancy. CCECE 2010: 1-5 - [c66]Abdel Halim Elamy, Mrinal Mandal, Behrouz Homayoun Far, Anup Basu, Irene Cheng, Richard Long:
An intelligent CAD system for automated detection of pulmonary tuberculosis on chest radiograph and CT thorax: A road map. CCECE 2010: 1-4 - [c65]Nora Houari, Behrouz Homayoun Far:
A Decentralized Evolutional Approach to Handle Schedule Execution in Software Projects. ICAS 2010: 116-124 - [c64]Mohammad Moshirpour, Abdolmajid Mousavi, Behrouz H. Far:
A Technique and a Tool to Detect Emergent Behavior of Distributed Systems Using Scenario-Based Specifications. ICTAI (1) 2010: 153-159