1 code implementation • 7 Oct 2021 • Sepehr Bakhshi, Pouya Ghahramanian, Hamed Bonab, Fazli Can
It employs an ensemble of output layers to address the limitations of BLS and handle drifts.
no code implementations • 15 Sep 2021 • Sanem Elbasi, Alican Büyükçakır, Hamed Bonab, Fazli Can
Ensemble pruning is the process of selecting a subset of componentclassifiers from an ensemble which performs at least as well as theoriginal ensemble while reducing storage and computational costs. Ensemble pruning in data streams is a largely unexplored area ofresearch.
1 code implementation • 13 Sep 2021 • Hamed Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan
We introduce and formalize the problem of cross-market product recommendation, i. e., market adaptation.
no code implementations • 10 Sep 2021 • Youngwoo Kim, Razieh Rahimi, Hamed Bonab, James Allan
Transformer-based rankers have shown state-of-the-art performance.
no code implementations • 7 Sep 2021 • Zhiqi Huang, Hamed Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan
In the monolingual retrieval task, because of the same lexical inputs, it is easier for model to identify the query terms that occurred in documents.
no code implementations • COLING 2020 • Ann Clifton, Sravana Reddy, Yongze Yu, Aasish Pappu, Rezvaneh Rezapour, Hamed Bonab, Maria Eskevich, Gareth Jones, Jussi Karlgren, Ben Carterette, Rosie Jones
Paired with the audio files, they are also a resource for speech processing and the study of paralinguistic, sociolinguistic, and acoustic aspects of the domain.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • ACL 2019 • Sheikh Muhammad Sarwar, Hamed Bonab, James Allan
We describe a multi-task learning approach to train a Neural Machine Translation (NMT) model with a Relevance-based Auxiliary Task (RAT) for search query translation.
1 code implementation • 26 Sep 2018 • Alican Büyükçakır, Hamed Bonab, Fazli Can
As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer.
no code implementations • 9 Sep 2017 • Hamed Bonab, Fazli Can
In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of existing batch and online ensemble classifiers.