PUBLICATIONS

INTERNATIONAL JOURNALS

• Khalid Zaman, Melike Sah, Cem Direkoglu, Masashi Unoki. A Survey of Audio Classification using Deep Learning. IEEE Access, vol. 11, pp. 106620-106649, 2023. (SCI-Expanded)

• Yazan Zaid, Melike Sah, Cem Direkoglu. Pre-processed and combined EEG data for epileptic seizure classification using deep learning. Biomedical Signal Processing and Control, Volume 84, 104738, 2023. (SCI-Expanded).

• Melike Sah and Cem Direkoglu. A Survey of Deep Learning Methods for Multiple Sclerosis Identification using Brain MRI Images. Neural Computing and Applications, 34:7349-7373, 2022. (SCI-Expanded)

• Nuray Vakitbilir, Adnan Hilal and Cem Direkoglu. Hybrid Deep Learning Models for Multivariate Forecasting of Global Horizontal Irradiation. Neural Computing and Applications, 34:8005-8026, 2022. (SCI-Expanded)

• Melike Sah and Cem Direkoglu. Review and Evaluation of Player Detection Methods in Field Sports. Multimedia Tools and Applications, 2021. (SCI-Expanded)

• Cem Direkoglu. Abnormal Crowd Behavior Detection Using Motion Information Images and Convolutional Neural Networks, IEEE Access, 8, 80408-80416, 2020. (SCI-Expanded)

• Nemer Odeh and Cem Direkoglu. Automated shopping system using computer vision. Multimedia Tools and Applications, 79 (41), 30151-30161, 2020. (SCI-Expanded)

• Eren Hatirnaz, Melike Sah and Cem Direkoglu. A Novel Framework and Concept-based Semantic Search Interface for Abnormal Crowd Behaviour Analysis in Surveillance Videos. Multimedia Tools and Applications, 79, 17579-17617, 2020. (SCI-Expanded)

• Cem Direkoglu and Noel E. O’Connor. Temporal Segmentation and Recongintion of Team Activities in Sports. Machine Vision and Applications, 29(5):891–913, July 2018. (SCI-Expanded)

• Cem Direkoglu, Melike Sah and Noel E. O’Connor. Player Detection in Field Sports. Machine Vision and Applications, 29(2):187–206, February 2018. (SCI-Expanded)

• Ali Isin, Cem Direkoglu, Melike Sah. Review of MRI-based Brain Tumor Image Segmentation Using Deep Learning Methods, Procedia Computer Science, 102:317-324, 2016.

• Cem Direkoglu and Mark S. Nixon. On Using an Analogy to Heat Flow for Shape Extraction, Pattern Analysis and Applications, 16(2):125-139, May 2013. (SCI-Expanded)

• Cem Direkoglu, Rozenn Dahyot and Michael Manzke. On using Anisotropic Diffusion for Skeleton Extraction, International Journal of Computer Vision, 100(2):170-189, November 2012. (SCI-Expanded)

• Cem Direkoglu and Mark S. Nixon. Shape Classification via Image-based Multiscale Description, Pattern Recognition, 44(9):2134-2146, September 2011. (SCI-Expanded)

• Cem Direkoglu and Mark S. Nixon. Moving-Edge Detection via Heat Flow Analogy, Pattern Recognition Letters , 32(2):270-279, January 2011. (SCI-Expanded)

• Mark Nixon, Xin Liu, Cem Direkoglu and David Hurley. On Using Physical Analogies for Feature and Shape Extraction in Computer Vision, The Computer Journal , 54(1):11-25, 2011. (SCI-Expanded)

NATIONAL JOURNALS

• Fatih Aksu and Cem Direkoglu. Person Re-Identification in Surveillance Videos using Deep Learning based Body Part Partition and Gaussian Filtering Avrupa Bilim ve Teknoloji Dergisi, 291-296, 2020.

• Ahmed Othman and Cem Direkoglu. Recognizing Musical Notation Using Convolutional Neural Networks. Avrupa Bilim ve Teknoloji Dergisi, 283-290, 2020.

CONFERENCES

• Mustafa Mulla and Cem Direkoglu. Brain Tumor Classification using a Convolutional Neural Network and Different Optimizers, Innovations in Intelligent Systems and Applications Conference (ASYU) (Publisher: IEEE), Sivas, Turkiye, pp. 1-6, 2023.

• Mehtab Ur Rahman and Cem Direkoglu. Multi-class Classification of Voice Disorders Using Deep Transfer Learning. International Conference on Computing, IoT and Data Analytics, July 2023 (Accepted).

• Hazrat Bilal, Cem Direkoglu. Optimized KiU-Net: Lightweight Convolutional Neural Network for Retinal Vessel Segmentation in Medical Images. International Conference on Advanced Engineering, Technology and Applications ICAETA 2023 (Accepted).

• Fatih Aksu and Cem Direkoglu. Lightweigth Convolutional Neural Networks for Person Re-Identification, 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (Publisher: IEEE), pages:1-5, 2021.

• Melike Sah and Cem Direkoglu. LightWeight Deep Convolutional Neural Networks for Vehicle Re-Identification using Diffusion-based Image Masking, 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (Publisher: IEEE), pages:1-6, 2021.

• Mohammed Abdulghani Taha, Melike Þah and Cem Direkoglu. Review of Place Recognition Approaches: Traditional and Deep Learning Methods. 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing (ICAFS 2020) , pages:183-191, 2020.

• Nuray Vakitbilir, Adnan Hilal and Cem Direkoglu. Prediction of Daily Solar Irradiation using CNN and LSTM Networks. 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing (ICAFS 2020) , pages:230-238, 2020.

• Khalid Zaman, Melike Þah, Cem Direkoglu. Classification of Harmful Noise Signals for Hearing Aid Applications using Spectrogram Images and Convolutional Neural Networks. International Symposium on Multidisciplinary Studies and Innovative Technologies (Publisher: IEEE), pages:1-9, 2020.

• Zafer Attal and Cem Direkoglu, Sea Turtle Species Classification for Environmental Research and Conservation. International Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions (ICSCCW 2019), pages:580-588, 2019.

• Mohamed Badawy and Cem Direkoglu, Sea Turtle Detection using Faster R-CNN for Conservation Purpose. International Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions (ICSCCW 2019), pages:535-541, 2019.

• Melike Sah and Cem Direkoglu. Evaluation of Image Representations for Player Detection in Field Sports using Convolutional Neural Networks. International Conference on Applications of Fuzzy Systems and Soft Computing (ICAFS 2018), August 2018.

• Damla Gul Altunay, Naciye Karademir, Okan Topcu and Cem Direkoglu. Intelligent surveillance system for abandoned luggage. IEEE Signal Processing and Communications Applications Conference (SIU 2018), pages. 1-4, May 2018, Turkey.

• Cem Direkoglu, Melike Sah and Noel E. O’Connor. Abnormal crowd behavior detection using novel optical flow-based features. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS2017), August 2017.

• Melike Sah and Cem Direkoglu. Semantic Annotation of Surveillance Videos for Abnormal Crowd Behaviour Search and Analysis. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS2017), August 2017.

• Ali Isin, Cem Direkoglu and Melike Sah. Review of MRI-based Brain Tumor Image Segmentation using Deep Learning Methods. International Conference on Applications of Fuzzy Systems and Soft Computging (ICAFS 2016), (Procedia Computer Science Journal, 102:317-324), August 2016.

• Iveel Jargalsaikhan, Cem Direkoglu, Suzanne Little, and Noel E. O'Connor. An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion. International Conference on Multimedia Modelling (MMM 2014), LNCS vol. 8326, pages: 56-67, January 2014.

• Iveel Jargalsaikhan, Suzanne Little, Cem Direkoglu and Noel E. O'Connor. Action Recognition based on Sparse Motion Trajectories. IEEE International Conference on Image Processing (ICIP 2013), pages: 15 - 18, September 2013.

• Suzanne Little, Iveel Jargalsaikhan, Kathy Clawson, Marcos Nieto, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Hao Li, Hui Wang and Bryan Scotney. An information retrieval approach to identifying infrequent events in surveillance video. ACM International Conference on Multimedia Retrieval (ICMR 2013), pages: 223-230 April 2013.

• Cem Direkoglu and Noel E. O'Connor. Team Activity Recognition in Sports, European Conference on Computer Vision 2012 (ECCV 2012), LNCS, 7578:69-83, October 2012.

• Cem Direkoglu and Noel E. O'Connor. Team Behavior Analysis in Sports using the Poisson Equation, IEEE International Conference on Image Processing 2012 (ICIP 2012), pages: 2693-2696, September 2012.

• Cem Direkoglu, Rozenn Dahyot and Michael Manzke. Skeleton Extraction via Anisotropic Heat Flow, British Machine Vision Conference 2010 (BMVC 2010) , pages: 61.1-61.11, September 2010.

• Cem Direkoglu and Mark S. Nixon. Image-based Multiscale Shape Description using Gaussian Filter, IEEE Indian Conference on Computer Vision, Graphics and Image Processing 2008 (ICVGIP 2008) , December 2008, India.

• Cem Direkoglu and Mark S. Nixon. Shape Classification using Multiscale Fourier-based Description in 2-D Space, IEEE International Conference on Signal Processing 2008 (ICSP 2008) , October 2008, Beijing China.

• Mark Nixon, Xin Liu, Cem Direkoglu, and David Hurley. On Using Physical Analogies for Feature and Shape Extraction in Computer Vision. In: 1st Conference on Visions of Computer Science, Sep 2008, Longon UK.

• Cem Direkoglu and Mark S. Nixon. "Shape Extraction via Heat Flow Analogy". International Conference on Advanced Concepts for Intelligent Vision Systems 2007 (Acivs 2007) , Delft, the Netherlands, 28-31 August, 2007.

• Cem Direkoglu and Mark S. Nixon. "Low Level Moving-Feature Extraction via Heat Flow Analogy". International Symposium on Visual Computing 2006 (ISVC 2006) , published by Springer Verlag as a volume in the "Lecture Notes in Computer Science" (LNCS) series, Nevada, USA, 6-8 November 2006.

• Turgay Celik, Cem Direkoglu, Huseyin Ozkaramanli, Hasan Demirel and Mustafa Uyguroglu. "Region-based Super-Resolution Aided Facial Feature Extraction from Low-resolution Video Sequences", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005) , Philadelphia, USA, March 2005.

• Cem Direkoglu, Hasan Demirel, Huseyin Ozkaramanli and Mustafa Uyguroglu. "Efficient Face and Facial Feature Tracking using Search Region Estimation", International Conference of Image Analysis and Recognition (ICIAR 2005), published by Springer Verlag as a volume in the "Lecture Notes in Computer Science" (LNCS) series, September 28-30, 2005.

• Turgay Celik, Cem Direkoglu, Huseyin Ozkaramanli, Hasan Demirel and Mustafa Uyguroglu. "Enhanced Facial Feature Extraction using Region-based Super-resolution aided Video Sequences", International Conference of Image Analysis and Recognition (ICIAR 2005) , published by Springer Verlag in the "Lecture Notes in Computer Science" (LNCS) series, September 28-30, 2005.

• Cem Direkoglu, Hasan Demirel, Huseyin Ozkaramanli, Mustafa Uyguroglu, and Ahmet M. Kondoz. "Scale and Translation Invariant Face Detection and Efficient Facial Feature Extraction", Proc. IASTED Int. Conf. on Signal and Image Processing (SIP'2004) , Honollulu, Hawaii, USA August 23-25, 2004, pp. 122-128.

WORKSHOPS

• Suzanne Little, Iveel Jargalsaikhan, Rami Albatal, Cem Direkoglu, Noel O'Connor, Alan F Smeaton, Kathy Clawson, Min Jing, Brian Scotney, Hui Wang, Jun Li, Marcos Nieto, Juan Diego Ortega, Aitor Rodriguez, Inigo Aramburu, Emmanouil Kafetzakis. SAVASA project @ TRECVid 2013: semantic indexing and interactive surveillance event detection. In: Text REtrieval Conference Video (TRECVid) Workshop, November 2013.

• Jogile Kuklyte, Kevin McGuinness, Ramya Hebbalaguppe, Cem Direkoglu , Leonardo Gualano, Noel E. O'Connor. International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2013), July 2013.

• Suzanne Little, Iveel Jargalsaikhan, Kathy Clawson, Hao Li, Marcos Nieto, Cem Direkoglu , Noel O'Connor, Alan F Smeaton, Aitor Rodriguez, Pedro Sanchez, Karina Villarroel Peniza, Ana Martinez Llorens, Roberto Gimenez, Raul Santos de la Camara, Anna Mereu. SAVASA project @ TRECVID 2012: interactive surveillance event detection. In: Text REtrieval Conference Video (TRECVid) Workshop , November 2012.

PREPRINT SERVERS

• Cem Direkoglu and Melike Sah. Worldwide and Regional Forecasting of Coronavirus (Covid-19) Spread using a Deep Learning Model, medRxiv, May 2020.

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