محمد اکبری - دانشگاه صنعتی امیرکبیر

Sadeq Kord, Touraj Taghikhany, Mohammad Akbari, "A Novel Spatiotemporal 3D CNN Framework with Multi-task Learning for Efficient Structural Damage Detection", STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, Vol. online, Num. 1, Page 1-18, November 2023,

Mehdi Paykan Heyrati, Zahra Ghorbanali, Mohammad Akbari, Ghasem Pishgahi, Fatemeh Zare Mirakabad, "BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation", ACS Omega, Vol. 47, Num. 8, Page 44757-44772, November 2023,

Zahra Ghorbanali, Fatemeh Zare Mirakabad, Najmeh Salehi, Mohammad Akbari, Research Open Access Published: 03 October 2023 Drugrep-Hesiagraph: When Heterogenous, "DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing", BMC BIOINFORMATICS, Vol. 374, Num. 24, Page 1-31, October 2023,

Farzaneh Rezaei, Mohammad Akbari, Yousef Rafiei, Abdolhossein Hemmati?Sarapardeh, "Compositional modeling of gas-condensate viscosity using ensemble approach", Scientific Reports, Vol. 13, Num. 1, Page 1-21, June 2023,

Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour, "Learning textual features for Twitter spam detection: A systematic literature review", EXPERT SYSTEMS WITH APPLICATIONS, Vol. 228, Num. 0, Page 0-0, May 2023,

Zahra Ghorbanali, Fatemeh Zare Mirakabad, Mohammad Akbari, Najmeh Salehi, Ali Masoudi-Nejad, "DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge Graphs", JOURNAL OF CHEMICAL INFORMATION AND MODELING, Vol. 10, Num. 21, Page 1-20, April 2023,

Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi, "Bagging Supervised Autoencoder Classifier for Credit Scoring", EXPERT SYSTEMS WITH APPLICATIONS, Vol. 213, Num. 0, Page 2-13, March 2023,

Maryam Etemadi, Sepidehbazzaz Abkenar, Ahmad Ahmadzadeh, Mostafa Haghi Kashani, Parvaneh Asghari, Mohammad Akbari, Ebrahim Mahdipour, "A systematic review of healthcare recommender systems: Open issues, challenges, and techniques", EXPERT SYSTEMS WITH APPLICATIONS, Vol. 213, Num. 0, Page 1-27, September 2022,

Yaghoob Karimi, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour, "Leveraging big data in smart cities: A systematic review", CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, Vol. 33, Num. 21, Page 0-0, June 2021,

سایر داده ها

Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari, Michael Pazzani, "Indexing multivariate mobile data through spatio-temporal event detection and clustering", Sensors, Vol. 19, Num. 3, Page , 2019,

Mostafa Rezazad, Matthias Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung, "Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning", Advances in Information and Communication Networks, Vol. , Num. , Page , 2017,

, "Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality", Transaction on Knowledge and Data Engineering, Vol. 29, Num. 10, Page , 2017,

Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua, "Towards Organizing Health Knowledge on Community-based Health Services", EURASIP Journal on Bioinformatics and Systems Biology, Vol. 17, Num. , Page , 2016,

Mohammad Akbari, Liqiang Nie, and Tat-Seng Chua, "aMM: Towards adaptive ranking of multi-modal documents", International Journal of Multimedia Information Retrieval, Vol. , Num. , Page , 2015,

Nie, Liqiang, Yi-Liang Zhao, Mohammad Akbari, Jialie Shen, and Tat-Seng Chua, "Bridging the vocabulary gap between health seekers and healthcare knowledge.", Transaction on Knowledge and Data Engineering, Vol. 27, Num. 2, Page , 2015,

مقالات کنفرانس

سایر داده ها

Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O’Harney, Marc Sloan, and Jun Wang, "Modeling User Return Time Using Inhomogeneous Poisson Process", The European Conference on Information Retrieval (ECIR), 2019

Alberto Cetoli, Stefano Bragaglia, Andrew D. O’ Harney, Marc Sloan, Mohammad Akbari, "A Neural Approach to Entity Linking on Wikidata", The European Conference on Information Retrieval (ECIR), 2019

Mohammad Akbari, and Rumi Chunara, "Using Contextual Information to Improve Blood Glucose Prediction", In Machine Learning for Healthcare Conference, 2019

Zou, Shihao, Zhonghua Li, Mohammad Akbari, Jun Wang, and Peng Zhang, "MarlRank: Multi-agent Reinforced Learning to Rank", The Conference on Information and Knowledge Management (CIKM), 2019

Ray Han, Mohammad Akbari, "Vertical Domain Text Classification: Towards Understanding IT Tickets using Deep Neural Networks", AAAI Conference on Artificial Intelligence, 2018

Mohammad Akbari, Rumi Chunara, "From the User to the Medium: Deep Profiling Across Web Communities to Augment Disease Epidemiology", The International AAAI Conference on Web and Social Media (ICWSM), 2018

Han, Jianglei, Ka Hian Goh, Aixin Sun, and Mohammad Akbari, "Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets", The Conference on Information and Knowledge Management (CIKM), 2018

Kunal Relia, Mohammad Akbari, Dustin Duncan, Rumi Chunara, "Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes", ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2018

Mohammad Akbari, Tat-Seng Chua, "Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling", The Tenth ACM International Conference on Web Search and Data Mining, 2017

Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua, "On the Organization and Retrieval of Health QA Records for Community-based Health Services", International Joint Conference on Artificial Intelligence, 2016

Song, Xuemeng, Liqiang Nie, Luming Zhang, Mohammad Akbari, and Tat-Seng Chua, "Multiple social network learning and its application in volunteerism tendency prediction", The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Farseev, Aleksandr, Liqiang Nie, Mohammad Akbari, and Tat-Seng Chua, "Harvesting multiple sources for user profile learning: a big data study", The ACM on International Conference on Multimedia Retrieval, 2015

Nie, Liqiang, Mohammad Akbari, Tao Li, and Tat-Seng Chua, "A joint local-global approach for medical terminology assignment", The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Nie, Liqiang, Tao Li, Mohammad Akbari, Jialie Shen, and Tat-Seng Chua, "Wenzher: Comprehensive vertical search for healthcare domain", The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

عضویت در هیأت تحریریه مجلات

عناوین مجلات

تاریخ همکارى و توضیحات

Associate Editor, Journal of Frontiers in Artificial Intelligence

IEEE Transaction on Knowledge and Data Engineering (TKDE).

ACM Transaction on Knowledge and Data Discovery (TKDD).

Pattern Recognition Letters Journal.

Journal of Information Sciences.

Journal of Data Mining and Knowledge Discovery

Journal of Biomedical Informatics (JBI).

دروس ارائه شده

عنوان درس

توصیف درس

سرفصل ها

دوره درسی

Computer Prog.

To familiarize the trainee with basic concepts of computer programming and developer tools. To present the syntax and semantics of the “C” language as well as data types offered by the Language. To allow the trainee to write their own programs us

Fall 2022

Data Structures & Algorithms

Covers the design, analysis, and implementation of data structures and algorithms to solveengineering problems using an object?oriented programming language. Topics include elementary datastructures, (including arrays, stacks, queues, and lists), adv

Fall 2022

Machine Learning

This course provides a fundamental introduction to the mathematics, algorithms and practice of machine learning, focusing on representation, loss functions, and optimization.

Fall 2022