Document image database indexing with pictorial dictionary. - Mohammad Akbari 001; Reza Azimi (ICDIP, 2010)

Utilizing Bee Colony to Solve Task Scheduling Problem in Distributed Systems. - Mostafa Haghi Kashani; Seyed Mahdi Jamei; Mohammad Akbari 001; R. Moosavi Tayebi (CICSyN, 2011)

A Joint Local-Global Approach for Medical Terminology Assignment. - Liqiang Nie; Mohammad Akbari 001; Tao Li; Tat-Seng Chua (MedIR@SIGIR, 2014)

WenZher: comprehensive vertical search for healthcare domain. - Liqiang Nie; Tao Li; Mohammad Akbari 001; Jialie Shen 001; Tat-Seng Chua (SIGIR, 2014)

Harvesting Multiple Sources for User Profile Learning: a Big Data Study. - Aleksandr Farseev; Liqiang Nie; Mohammad Akbari 001; Tat-Seng Chua (ICMR, 2015)

Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. - Xuemeng Song; Liqiang Nie; Luming Zhang; Mohammad Akbari 001; Tat-Seng Chua (SIGIR, 2015)

aMM: Towards adaptive ranking of multi-modal documents. - Mohammad Akbari 001; Liqiang Nie; Tat-Seng Chua (Int. J. Multim. Inf. Retr., 2015)

Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge. - Liqiang Nie; Yi-Liang Zhao; Mohammad Akbari 001; Jialie Shen 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2015)

From Tweets to Wellness: Wellness Event Detection from Twitter Streams. - Mohammad Akbari 001; Xia Hu 001; Liqiang Nie; Tat-Seng Chua (AAAI, 2016)

Towards organizing health knowledge on community-based health services. - Mohammad Akbari 001; Xia Hu 001; Liqiang Nie; Tat-Seng Chua (EURASIP J. Bioinform. Syst. Biol., 2016)

"360° user profiling: past, future, and applications" by Aleksandr Farseev, Mohammad Akbari, Ivan Samborskii and Tat-Seng Chua with Martin Vesely as coordinator. - Aleksandr Farseev; Mohammad Akbari 001; Ivan Samborskii; Tat-Seng Chua (SIGWEB Newsl., 2016)

Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling. - Mohammad Akbari 001; Tat-Seng Chua (WSDM, 2017)

Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality. - Mohammad Akbari 001; Xia Hu 001; Fei Wang 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2017)

Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets. - Jianglei Han; Ka Hian Goh; Aixin Sun; Mohammad Akbari 001 (CIKM, 2018)

From the User to the Medium: Neural Profiling Across Web Communities. - Mohammad Akbari 001; Kunal Relia; Anas Elghafari; Rumi Chunara (ICWSM, 2018)

Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes. - Kunal Relia; Mohammad Akbari 001; Dustin Duncan; Rumi Chunara (Proc. ACM Hum. Comput. Interact., 2018)

MarlRank: Multi-agent Reinforced Learning to Rank. - Shihao Zou; Zhonghua Li; Mohammad Akbari 001; Jun Wang 012; Peng Zhang 002 (CIKM, 2019)

Modeling User Return Time Using Inhomogeneous Poisson Process. - Mohammad Akbari 001; Alberto Cetoli; Stefano Bragaglia; Andrew D. O'Harney; Marc Sloan; Jun Wang 012 (ECIR (2), 2019)

A Neural Approach to Entity Linking on Wikidata. - Alberto Cetoli; Stefano Bragaglia; Andrew D. O'Harney; Marc Sloan; Mohammad Akbari 001 (ECIR (2), 2019)

Using Contextual Information to Improve Blood Glucose Prediction. - Mohammad Akbari 001; Rumi Chunara (CoRR, 2019)

Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering. - Reza Rawassizadeh; Chelsea Dobbins; Mohammad Akbari 001; Michael J. Pazzani (Sensors, 2019)

Twitter Spam Detection: A Systematic Review. - Sepideh Bazzaz Abkenar; Mostafa Haghi Kashani; Mohammad Akbari 001; Ebrahim Mahdipour (CoRR, 2020)

Leveraging big data in smart cities: A systematic review. - Yaghoob Karimi; Mostafa Haghi Kashani; Mohammad Akbari 001; Ebrahim Mahdipour (Concurr. Comput. Pract. Exp., 2021)

Bagging Supervised Autoencoder Classifier for credit scoring. - Mahsan Abdoli; Mohammad Akbari 001; Jamal Shahrabi (Expert Syst. Appl., 2023)

A systematic review of healthcare recommender systems: Open issues, challenges, and techniques. - Maryam Etemadi; Sepideh Bazzaz Abkenar; Ahmad Ahmadzadeh; Mostafa Haghi Kashani; Parvaneh Asghari; Mohammad Akbari 001; Ebrahim Mahdipour (Expert Syst. Appl., 2023)

Learning textual features for Twitter spam detection: A systematic literature review. - Sepideh Bazzaz Abkenar; Mostafa Haghi Kashani; Mohammad Akbari 001; Ebrahim Mahdipour (Expert Syst. Appl., 2023)

Big data and predictive analytics: A sytematic review of applications. - Amirhossein Jamarani; Saeid Haddadi; Raheleh Sarvizadeh; Mostafa Haghi Kashani; Mohammad Akbari 001; Saeed Moradi (Artif. Intell. Rev., 2024)

TinyML and edge intelligence applications in cardiovascular disease: A survey. - Ali Reza Keivanimehr; Mohammad Akbari 001 (Comput. Biol. Medicine, 2025)

Drug-target interaction/affinity prediction: Deep learning models and advances review. - Ali Vefghi; Zahed Rahmati; Mohammad Akbari 001 (Comput. Biol. Medicine, 2025)

Enhancing cross-lingual hate speech detection through contrastive and adversarial learning. - Asseel Jabbar Almahdi; Ali Mohades; Mohammad Akbari 001; Soroush Heidary (Eng. Appl. Artif. Intell., 2025)