FAZLI CAN

About FAZLI CAN

FAZLI CAN, With an exceptional h-index of 29 and a recent h-index of 18 (since 2020), a distinguished researcher at Bilkent Üniversitesi, specializes in the field of Information retrieval, Data mining, all pubs hand verified to be actually mine.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams

Balancing efficiency vs. effectiveness and providing missing label robustness in multi-label stream classification

Cross-Lingual Transfer Learning for Misinformation Detection: Investigating Performance Across Multiple Languages

Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles

A broad ensemble learning system for drifting stream classification

Unsupervised concept drift detection for multi-label data streams

SiMiD: Similarity-based Misinformation Detection via Communities on Social Media Posts

DynED: Dynamic Ensemble Diversification in Data Stream Classification

FAZLI CAN Information

University

Position

___

Citations(all)

3441

Citations(since 2020)

1312

Cited By

2472

hIndex(all)

29

hIndex(since 2020)

18

i10Index(all)

62

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

FAZLI CAN Skills & Research Interests

Information retrieval

Data mining

all pubs hand verified to be actually mine

Top articles of FAZLI CAN

Title

Journal

Author(s)

Publication Date

A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams

ACM Transactions on Knowledge Discovery from Data

Pouya Ghahramanian

Sepehr Bakhshi

Hamed Bonab

Fazli Can

2024/2/13

Balancing efficiency vs. effectiveness and providing missing label robustness in multi-label stream classification

Knowledge-Based Systems

Sepehr Bakhshi

Fazli Can

2024/2/7

Cross-Lingual Transfer Learning for Misinformation Detection: Investigating Performance Across Multiple Languages

Oguzhan Ozcelik

Arda Sarp Yenicesu

Onur Yildirim

Dilruba Sultan Haliloglu

Erdem Ege Eroglu

...

2023/9

Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles

arXiv preprint arXiv:2308.14175

Enes Bektas

Fazli Can

2023/8/27

A broad ensemble learning system for drifting stream classification

IEEE Access

Sepehr Bakhshi

Pouya Ghahramanian

Hamed Bonab

Fazli Can

2023/8/21

Unsupervised concept drift detection for multi-label data streams

Artificial Intelligence Review

Ege Berkay Gulcan

Fazli Can

2023/3

SiMiD: Similarity-based Misinformation Detection via Communities on Social Media Posts

Oguzhan Ozcelik

Cagri Toraman

Fazli Can

2023/11/21

DynED: Dynamic Ensemble Diversification in Data Stream Classification

Soheil Abadifard

Sepehr Bakhshi

Sanaz Gheibuni

Fazli Can

2023/10/21

Binary transformation method for multi-label stream classification

Ege Berkay Gulcan

Isin Su Ecevit

Fazli Can

2022/10/17

Not good times for lies: Misinformation detection on the Russia-Ukraine war, COVID-19, and refugees

arXiv preprint arXiv:2210.05401

Cagri Toraman

Oguzhan Ozcelik

Furkan Şahinuç

Fazli Can

2022/10/11

Quantitative analysis of spoken discourse using memoirs of old-time moviegoers

Journal of Quantitative Linguistics

Sevil Çalışkan

Fazli Can

Hasan Akbulut

SR Öztürk

2022/7/3

Stance Detection and Open Research Avenues

arXiv preprint arXiv:2210.12383

Dilek Küçük

Fazli Can

2022/10/22

A Detailed Stylometric Investigation of the İnce Memed Tetralogy

Jon Patton

Fazli Can

2021/1/21

On-the-fly ensemble pruning in evolving data streams

arXiv preprint arXiv:2109.07611

Sanem Elbasi

Alican Büyükçakır

Hamed Bonab

Fazli Can

2021/9/15

Stance detection: Concepts, approaches, resources, and outstanding issues

Dilek Küçük

Fazli Can

2021/7/11

Concept learning using one-class classifiers for implicit drift detection in evolving data streams

Artificial Intelligence Review

Ömer Gözüaçık

Fazli Can

2021/6

Effectiveness Assessment of the Cover Coefficient Based Clustering Methodology

Esen Ozkarahan

Fazli Can

2020/8/11

Stance detection: A survey

Dilek Küçük

Fazli Can

2020/2/5

See List of Professors in FAZLI CAN University(Bilkent Üniversitesi)

Co-Authors

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