Why Is this User Asking so Many Questions? Explaining Sequences of Queries. - Aybar C. Acar; Amihai Motro (DBSec, 2004)

Utility-based Resolution of Data Inconsistencies. - Amihai Motro; Philipp Anokhin; Aybar C. Acar (IQIS, 2004)

An agent framework for dynamic agent retraining: Agent academy - Pericles A. Mitkas; Andreas L. Symeonidis; Dionisis D. Kehagias; Ioannis N. Athanasiadis; Gokce Laleci; Gokhan Kurt; Yildiray Kabak; Aybar C. Acar; Asuman Dogac (CoRR, 2004)

Intensional Encapsulations of Database Subsets via Genetic Programming. - Aybar C. Acar; Amihai Motro (DEXA, 2005)

Query Consolidation: Interpreting a Set of Independent Queries Using a Multidatabase Architecture in the Reverse Direction. - Aybar C. Acar; Amihai Motro (NTII, 2008)

Query Consolidation: Interpreting Queries Sent to Independent Heterogenous Databases. - Aybar C. Acar (2008)

Efficient discovery of join plans in schemaless data. - Aybar C. Acar; Amihai Motro (IDEAS, 2009)

Inferring User Goals from Sets of Independent Queries in a Multidatabase Environment. - Aybar C. Acar; Amihai Motro (Advances in Intelligent Information Systems, 2010)

Segmenting and Labeling Query Sequences in a Multidatabase Environment. - Aybar C. Acar; Amihai Motro (OTM Conferences (1), 2011)

mESAdb: microRNA Expression and Sequence Analysis Database. - Koray D. Kaya; Gökhan Karakülah; Cengiz M. Yakicier; Aybar C. Acar; Özlen Konu (Nucleic Acids Res., 2011)

Discriminative Modeling of Cell Signaling as Bayesian Networks. - Ayse Gul Yaman; Aybar C. Acar; Volkan Atalay; Rengül Çetin-Atalay (IWBBIO, 2014)

Design and Evaluation of an Interactive Art Installation to Introduce 'de novo' Mutations to Different Audiences: "Music Within" Project. - Elif Bozlak; Aybar Can Acar; Elif Sürer (GOODTECHS, 2018)

iBioProVis: interactive visualization and analysis of compound bioactivity space. - Ataberk Donmez; Ahmet Süreyya Rifaioglu; Aybar C. Acar; Tunca Dogan; Rengül Çetin-Atalay; Volkan Atalay (Bioinform., 2020)

iBioProVis: interactive visualization and analysis of compound bioactivity space. - Ataberk Donmez; Ahmet Süreyya Rifaioglu; Aybar C. Acar; Tunca Dogan; Rengül Çetin-Atalay; Volkan Atalay; Wren Jonathan (Bioinform., 2020)

Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference. - Emrah Akkoyun; Sebastian T. Kwon; Aybar C. Acar; Whal Lee; Seungik Baek (Comput. Biol. Medicine, 2020)

Real-time Malaria Parasite Screening in Thick Blood Smears for Low-Resource Setting. - Samson Chibuta; Aybar C. Acar (J. Digit. Imaging, 2020)

The Use of Informed Priors in Biclustering of Gene Expression with the Hierarchical Dirichlet Process. - Bahar Tercan; Aybar C. Acar (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Defining a master curve of abdominal aortic aneurysm growth and its potential utility of clinical management. - Emrah Akkoyun; Hamidreza Gharahi; Sebastian T. Kwon; Byron Zambrano; Akshay Rao; Aybar C. Acar; Whal Lee; Seungik Baek (Comput. Methods Programs Biomed., 2021)

Principal microbial groups: compositional alternative to phylogenetic grouping of microbiome data. - Asli Boyraz; Vera Pawlowsky-Glahn; Juan José Egozcue; Aybar Can Acar (Briefings Bioinform., 2022)

Learning functional properties of proteins with language models. - Serbülent Ünsal; Heval Atas; Muammer Albayrak; Kemal Turhan; Aybar C. Acar; Tunca Dogan (Nat. Mach. Intell., 2022)

3D Simulation and Comparative Analysis of Immune System Cell Micro-Level Responses in Virtual Reality and Mixed Reality Environments. - Hanifi Tugsad Kaya; Elif Sürer; Aybar C. Acar (GOODTECHS, 2023)

Transfer learning for drug-target interaction prediction. - Alperen Dalkiran; Ahmet Atakan; Ahmet Süreyya Rifaioglu; Maria Jesus Martin; Rengül Çetin-Atalay; Aybar C. Acar; Tunca Dogan; Volkan Atalay (Bioinform., 2023)

ProFAB - open protein functional annotation benchmark. - A Samet Özdilek; Ahmet Atakan; Gökhan Özsari; Aybar C. Acar; M. Volkan Atalay; Tunca Dogan; Ahmet Süreyya Rifaioglu (Briefings Bioinform., 2023)

Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting. - Serbülent Ünsal; Sinem Özdemir; Bünyamin Kasap; M. Ersan Kalayci; Kemal Turhan; Tunca Dogan; Aybar C. Acar (CoRR, 2024)

An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data. - Mona Shojaei; Navid Mohammadvand; Tunca Dogan; Can Alkan; Rengül Çetin-Atalay; Aybar C. Acar (Comput. Biol. Medicine, 2024)