Asst. Prof. GHAZAAL SHEIKHI

Articles 6

1. Casting criminals: a framework for evaluating demographic bias in AI-generated narratives

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS , vol.64, no.2, pp.621-652, 2026 (SCI-Expanded, Scopus) Sustainable Development

2. Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models

Anari S., Sadeghi S., Sheikhi G., Ranjbarzadeh R., Bendechache M.

SCIENTIFIC REPORTS , vol.15, no.1, 2025 (SCI-Expanded, Scopus) Sustainable Development

3. Threshold prediction for detecting rare positive samples using a meta-learner

Zefrehi H. G., Sheikhi G., Altincay H.

PATTERN ANALYSIS AND APPLICATIONS , vol.26, no.1, pp.289-306, 2023 (SCI-Expanded, Scopus)

4. Visual User-Generated Content Verification in Journalism: An Overview

Khan S. A., Sheikhi G., Opdahl A. L., Rabbi F., Stoppel S., Trattner C., et al.

IEEE ACCESS , vol.11, pp.6748-6769, 2023 (SCI-Expanded, Scopus)

5. A novel dissimilarity metric based on feature-to-feature scatter frequencies for clustering-based feature selection in biomedical data

Sheikhi G., Altincay H.

COMPUTATIONAL INTELLIGENCE , vol.37, no.4, pp.1865-1889, 2021 (SCI-Expanded, Scopus)

6. Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method

Sheikhi G., Altincay H.

EXPERT SYSTEMS WITH APPLICATIONS , vol.158, 2020 (SCI-Expanded, Scopus)

Papers Presented at Peer-Reviewed Scientific Conferences 7

1. Automated Claim Detection for Fact-checking: A Case Study using Norwegian Pre-trained Language Models

Sheikhi G., Touileb S., Khan S. A.

24th Nordic Conference on Computational Linguistics, NoDaLiDa 2023, Torshavn, Faroe Islands, 22 - 24 May 2023, pp.1-9, (Full Text)

2. Making Sense of Nonsense: Integrated Gradient-based Input Reduction to Improve Recall for Check-worthy Claim Detection

Sheikhi G., Opdahl A. L., Touileb S., Setty V.

5th Symposium of the Norwegian AI Society, NAIS 2023, Bergen, Norway, 14 - 15 June 2023, vol.3431, (Full Text)

3. Supervised Feature Embedding for Classification by Learning Rank-based Neighborhoods

Sheikhi G., Altncay H.

25th International Conference on Pattern Recognition (ICPR), ELECTR NETWORK, 10 - 15 January 2021, pp.9340-9347, (Full Text)

4. Using the Distance in Logistic Regression Models for Predictor Ranking in Diabetes Detection

Sheikhi G., Altincay H.

International Conference on Medical and Biological Engineering in Bosnia and Herzegovina (CMBEBIH), Banja Luka, Bosnia And Herzegovina, 16 - 18 May 2019, vol.73, pp.665-670, (Full Text)

5. Employing Data from Diagnosed Patients for Undiagnosed Type 2 Diabetes Detection

Hajarolasvadi N., Sheikhi G., Altincay H.

14th Annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), Athens, Greece, 1 - 03 July 2016, vol.226, pp.75-78, (Full Text) Sustainable Development

6. The cost of Type II Diabetes Mellitus: A Machine Learning Perspective

Sheikhi G., Altincay H.

14th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), Paphos, CYPRUS, 31 March - 02 April 2016, vol.57, pp.818-821, (Full Text) Sustainable Development