Ehsan Nazerfard

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Citations	534	332
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Diane J CookWashington State UniversityVerified email at eecs.wsu.edu
Parviz AsghariUniversity of CologneVerified email at uni-koeln.de
Lawrence HolderWashington State UniversityVerified email at wsu.edu
Barnan DasIntel CorporationVerified email at intel.com
Houtan JebelliAssistant Professor, Penn StateVerified email at psu.edu
Milad Sadat-MohammadiPennsylvania State UniversityVerified email at psu.edu
Mehrdad AbediProfessor of Power System, Amirkabir University of TechnologyVerified email at aut.ac.ir
Morteza Nazari-HerisLawrence Technological UniversityVerified email at ltu.edu
Mohammad Hassan MoradiBiomedical Engineering Faculty, Amirkabir University of TechnologyVerified email at aut.ac.ir
Ali Asghar ZareiData Scientist at UNEEG MedicalVerified email at hst.aau.dk
Setareh RahimiUniversity of CambridgeVerified email at cam.ac.uk
Ali RishehResearcher & MSc student at CSULAVerified email at calstatela.edu
Hamid MohammadiAmirkabir University of TechnologyVerified email at aut.ac.ir
Saeed Bagheri ShourakiProfessor of Electrical Engineering, Sharif UniversityVerified email at sharif.edu
Vesal HakamiAssistant Professor, Iran University of Science and TechnologyVerified email at iust.ac.ir
Yoosof MashayekhiPhD Student, Ghent University, Ghent, BelgiumVerified email at aut.ac.ir
Arman RahbarPhD Student of Computer Science, Chalmers University of TechnologyVerified email at chalmers.se
Mostafa Haghir ChehreghaniAmirkabir University of Technology (Tehran Polytechnic)Verified email at aut.ac.ir
Morteza Haghir ChehreghaniChalmers University of TechnologyVerified email at chalmers.se
Mohammadhossein HaghighiPh.D. candidate, Amirkabir University of TechnologyVerified email at aut.ac.ir

Ehsan Nazerfard

Amirkabir Univ of Tech (AUT) => Sharif Univ of Tech => Washington State University => AUT

Verified email at aut.ac.ir - Homepage

Machine Learning Deep Learning Reinforcement Learning Data Mining


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Conditional random fields for activity recognition in smart environments E Nazerfard, B Das, LB Holder, DJ Cook Proceedings of the 1st ACM International Health Informatics Symposium, 282-286, 2010	88	2010
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks E Soleimani, E Nazerfard Neurocomputing 426, 26-34, 2021	81	2021
CRAFFT: an activity prediction model based on Bayesian networks E Nazerfard, DJ Cook Journal of ambient intelligence and humanized computing 6, 193-205, 2015	72	2015
Using association rule mining to discover temporal relations of daily activities E Nazerfard, P Rashidi, DJ Cook Toward Useful Services for Elderly and People with Disabilities: 9th …, 2011	57	2011
Discovering temporal features and relations of activity patterns E Nazerfard, P Rashidi, DJ Cook 2010 IEEE International Conference on Data Mining Workshops, 1069-1075, 2010	57	2010
Online Human Activity Recognition Employing Hierarchical Hidden Markov Models P Asghari, E Soelimani, E Nazerfard Journal of Ambient Intelligence and Humanized Computing, 2019	55	2019
Using Bayesian Networks for Daily Activity Prediction E Nazerfard, DJ Cook AAAI Workshop on Plan, Activity and Intent Recognition, 32-38, 2013	45	2013
Bayesian networks structure learning for activity prediction in smart homes E Nazerfard, DJ Cook 2012 Eighth International Conference on Intelligent Environments, 50-56, 2012	21	2012
Intelligent approach for residential load scheduling M Sadat‐Mohammadi, M Nazari‐Heris, E Nazerfard, M Abedi, S Asadi, ... IET Generation, Transmission & Distribution 14 (21), 4738-4745, 2020	18	2020
Temporal features and relations discovery of activities from sensor data E Nazerfard Journal of Ambient Intelligence and Humanized Computing, 1-16, 2018	14	2018
Smart Irrigation IoT solution using transfer learning for neural networks A Risheh, A Jalili, E Nazerfard 2020 10th International Conference on Computer and Knowledge Engineering …, 2020	7	2020
Ensemble methods combination for motor imagery tasks in brain computer interface M Rahimi, A Zarei, E Nazerfard, MH Moradi 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016	7	2016
Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data P Asghari, E Nazerfard Proceedings of the 9th International Symposium on Telecommunications, 2018	3	2018
Barnan Das, Lawrence B Holder, and Diane J Cook.“ E Nazerfard Conditional random fields for activity recognition in smart environments …, 2010	3	2010
Video violence recognition and localization using a semi-supervised hard attention model H Mohammadi, E Nazerfard Expert Systems with Applications 212, 118791, 2023	2	2023
Shallow Node Representation Learning using Centrality Indices M Malek, MH Chehreghani, E Nazerfard, MH Chehreghani 2021 IEEE International Conference on Big Data (Big Data), 5209-5214, 2021	1	2021
The minmax fuzzy C-means Y Mashayekhi, E Nazerfard, A Rahbar, SSH Mahmood 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI …, 2019	1	2019
Using Probabilistic Graphical Models for Activity Prediction E Nazerfard Washington State University, 2014	1	2014
Evolutionary GMDH-based Identification of Building Blocks for Binary-Coded Systems E Nazerfard, SB Shouraki, V Hakami Information and Communication Technologies, 2006. ICTTA'06. 2nd 1, 1900-1904, 2006	1	2006
A novel fuzzy Bayesian network-based approach for solving the project time-cost-quality trade-off problem M Haghighi, M Ashrafi, E Nazerfard AUT Journal of Modeling and Simulation, 2023		2023

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