احسان ناظر فرد - دانشگاه صنعتی امیرکبیر

Elnaz Soleimani, Ehsan Nazerfard, "Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks", NEUROCOMPUTING, Vol. 0, Num. 0, Page 1-11, November 2020,

Milad Sadat Mohammadi, Morteza Nazari-Heris, Ehsan Nazerfard, Mehrdad Abedi, Somayeh Asadi, Houtan Jebelli, "Intelligent Approach for Residential Load Scheduling", IET GENERATION TRANSMISSION & DISTRIBUTION, Vol. 14, Num. 21, Page 4738-4745, September 2020,

Parviz Asghari, Elnaz Soleimani, Ehsan Nazerfard, "Online Human Activity Recognition Employing Hierarchical Hidden Markov Models", Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Num. 1, Page 1-12, June 2019,

Ehsan Nazerfard, "Temporal Features and Relations Discovery of Activities from Sensor Data", Journal of Ambient Intelligence and Humanized Computing, Vol. 10, Num. 1, Page 1-15, May 2018,

مقالات کنفرانس

داده های ثبت شده در پورتال

Masoud Malek, Mostafa Haghirchehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani, "Shallow Node Representation Learning using Centrality Indices ", 2021 IEEE International Conference on Big Data (IEEE BigData 2021), December 2021

Ali Risheh, Seyed Amirmohammad Jalili Shani, Ehsan Nazerfard, "Smart Irrigation IoT Solution using Transfer Learning for Neural Networks ", 10th International Conference on Computer and Knowledge Engineering, October 2020

Rasool Panahi, Nima Sedghiyeh, Ehsan Nazerfard, "A novel data cleaning method for learning in imbalanced datasets based on k-nearest neighbors ", 10th International Conference on Computer and Knowledge Engineering, October 2020

Yoosof Mashayekhi, Ehsan Nazerfard, Alireza Ranjbar, Samira Shirzadeh, "The MinMax Fuzzy C-Means ", 5th International Conference on Knowledge-Based Engineering and Innovation, February 2019

Parviz Asghari, Ehsan Nazerfard, "Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data ", The 9th International Symposium on Telecommunications, December 2018

Masoomeh Rahimi Ghazikalayeh, Asghar Zarei, Ehsan Nazerfard, Mohammad Hassan Moradi, "Ensemble Methods Combination for Motor Imagery Tasks in Brain Computer Interface ", International Iranian Conference on Biomedical Engineering-ICBME, November 2016

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دوره درسی

Data Mining

Data mining is a practice of data processing and applying algorithms on the data available from domain to solve domain related problems. Data mining involves six common classes of tasks: • Anomaly detection (outlier/change/deviation detection) –

Spring 2022

Applied Machine Learning

Today, machine learning is widely used in various fields of science and engineering. The purpose of this course is to acquaint students of different engineering fields with machine learning in a practical way. In this course, different algorithms tha

Spring 2022

Applied Linear Algebra

The course consists of the topics of linear algebra and its applications and optimization that are extensively used in different fields of computer engineering. The course contains topics of linear equations, matrices, eigenvalues and eigenvectors, v

Fall 2021

Applied Machine Learning

Fall 2021

Machine Learning

The objective of Machine Learning is to study algorithms capable of learning from past experiences and data

Fall 2021

Data Structures and Algorithms

In this course, the students will learn important data structures as well as algorithms required to deal with these data structures

Fall 2021

Machine Learning

The objective of Machine Learning is to study algorithms capable of learning from past experiences and data

Spring 2021

Data Mining

Spring 2021