Publications

2019:

  1. Event Detection using Hierarchical Multi-Aspect Attention; Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan; World Wide Web Conference (WWW), 2019 (.pdf)
  2. NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network; Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan; ACM International Conference on Information and Knowledge Management (CIKM), 2019 (.pdf)
  3. RumorSleuth: Joint Detection of Rumor Veracity and User Stance; Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan; IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019 (.pdf)

2018:

  1. DeepDiffuse: Predicting the 'Who' and 'When' in Cascades; Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan, IEEE International Conference on Data Mining (ICDM), 2018 (.pdf)
  2. SIGNet: Scalable Embeddings for Signed Networks; Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018 (.pdf)
  3. DANN: Incorporating Prior Domain Knowledge into Model Training; Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Anuj Karpatne, and Naren Ramakrishnan, IEEE BigData, 2018
  4. Sujay Yadawadkar, Brian Mayer, Sanket Lokegaonkar, Mohammad Raihanul Islam, et al.; Identifying Distracted and Drowsy Drivers, IEEE BigData, 2018

2016:

  1. Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices; Mohammad Raihanul Islam, K.S.M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan, The AAAI Conference on Artificial Intelligence (AAAI) 2016 (.pdf)

2014:

  1. Recurring and Novel Class Detection in Concept-Drifting Data Streams using Class-Based Ensemble; Mohammad Raihanul Islam, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2014 (.pdf)

2013:

  1. A Novel Approach for Generating Clustered Based Ensemble of Classifiers; Mohammad Raihanul Islam, Md. Mustafizur Rahman, Asif Salekin, Ahmed Shayer Andalib; International Journal on Machine Learning and Computing, Vol. 3, No. 1, February, 2013 (.pdf) (link)
  2. Novel and Recurring Class Detection using Ensemble of Classifiers: A Class-based Approach; Mohammad Raihanul Islam; International Journal of Computer Applications, Vol. 84, No. 6, December 2013 (.pdf) (link)
  3. An Improved Intelligent Water Drop Algorithm for a Real-life Waste Collection Problem; Mohammad Raihanul Islam and M. Sohel Rahman; International Conference on Swarm Intelligence, 2013, Harbin, China (.pdf) (link)
  4. A Novel Clustering-Based Ensemble Classification Model for Block Learning; Mohammad Raihanul Islam, Md. Mustafizur Rahman and Asif Salekin and Shihab Hasan Chowdhury and Samiul Alam Anik; International Conference on Pattern Recognition Applications and Methods, 2013, Barcelona, Spain (.pdf) (link)
  5. A Novel Approach for Constructing Emulator for Microsoft Kinect XBOX 360 Sensor in the .NET Platform; Mohammad Raihanul Islam, Sazzadur Rahman Rakibul Hasan, Ridwan Rashid Noel, Asif Salekin, Hasan Shahid Ferdous; International Conference on Intelligent System, Modeling and Simulation, 2013, Bangkok (.pdf) (link)

2012:

  1. Novel Approaches for Detecting Fabric Fault using Artificial Neural Network with K-fold Validation; Ahmed Shayer Andalib, Mohammad Raihanul Islam, Asif Salekin, Md. Abdulla-Al-Shami; International Conference on Computer and Information Technology, 2012, Chittagong, Bangladesh (.pdf) (link)
  2. Composite Pattern Matching in Time Series; Asif Salekin, Md. Mustafizur Rahman, Mohammad Raihanul Islam; International Conference on Computer and Information Technology, 2012, Chittagong, Bangladesh (.pdf) (link)
  3. An Ant Colony Optimization Algorithm for Waste Collection Vehicle Routing with Time Windows, Driver Rest Period and Multiple Disposal Facilities; Mohammad Raihanul Islam, M. Sohel Rahman; International Conference on Informatics, Electronics and Vision, 2012, Dhaka, Bangladesh (.pdf) (link)

Newsletters:

  1. Natural User Interface Classroom based on Kinect (.pdf)