Suchergebnisse - Computer Learning and Pattern Recognition::Neural Networks~

Refurbished embeddings with integrated guidance networks for efficient context-length scaling ; Bağlam uzunluğunu verimli ölçeklemek için entegre rehber ağlarla yeniden düzenlenmiş temsiller

Autoren: Çavuşoğlu, Ali Devrim Ekin Akbaş, Emre Department of Computer Engineering

Weitere Verfasser: Çavuşoğlu, Ali Devrim Ekin Akbaş, Emre Department of Computer Engineering

Schlagwörter: Long Document Embeddings, Contrastive Learning, Hierarchical Encoding, Guidance Networks, Document Retrieval, Large Context NLP, Token-Free Training, HDF5 Caching, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Text/Document Processing, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Natural Language Processing

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/116043

Verfügbarkeit: https://hdl.handle.net/11511/116043

A Mobile Touch-Based Continuous Authentication System via User-Specific Distribution Based Learning ; Kullanıcıya Özel Dağılım Tabanlı Öğrenme İle Dokunmatik Sürekli Kimlik Doğrulama Sistemi

Autoren: Gündüz, Gürkan Taşkaya Temizel, Tuğba Department of Data Informatics

Weitere Verfasser: Gündüz, Gürkan Taşkaya Temizel, Tuğba Department of Data Informatics

Schlagwörter: Continuous authentication (CA), Behavioral biometrics, Touch-based authentication, Kernel density estimation (KDE), Kullback-leibler divergence, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Human Computer Interaction, Computer Learning and Pattern Recognition::Computer Learning

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/115607

Verfügbarkeit: https://hdl.handle.net/11511/115607

Radar target detection under correlated non-Gaussian clutter using transfer learning ; Gauss olmayan ilintili kargaşa altında transfer öğrenmeyi kullanarak radar hedef tespiti

Autoren: Ürgüp, Mehmet Zeki Yılmaz, Ali Özgür Department of Electrical and Electronics Engineering

Weitere Verfasser: Ürgüp, Mehmet Zeki Yılmaz, Ali Özgür Department of Electrical and Electronics Engineering

Schlagwörter: Target detection, Deep learning, Transfer learning, Non-Gaussian, Correlated clutter, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing, Communication and Control Engineering::Communication Engineering::Radar Theory, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/113378

Verfügbarkeit: https://hdl.handle.net/11511/113378

TRAINING-FREE IMAGE-LEVEL AFFORDANCE DISCOVERY AND LABELING USING PRE-TRAINED DEEP NETWORKS ; ÖNCEDEN EĞİTİLMİŞ DERİN AĞLAR ÜZERİNDE EĞİTİM GEREKTİRMEYEN GÖRÜNTÜ DÜZEYİNDE SAĞLARLIK KEŞFİ VE ETİKETLEME

Autoren: Özçil, İsmail Koku, Ahmet Buğra Department of Mechanical Engineering

Weitere Verfasser: Özçil, İsmail Koku, Ahmet Buğra Department of Mechanical Engineering

Schlagwörter: affordance, manifold curvature, subspace projection, deep learning, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Mechanical Engineering::Machine Theory and Dynamics::Robotics

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/114089

Verfügbarkeit: https://hdl.handle.net/11511/114089

ADAPTIVE PARAMETER OPTIMIZATION FOR REINFORCEMENT LEARNING-BASED SPARK JOB SCHEDULING ; Pekiştirmeli Öğrenme Tabanlı Spark İş Zamanlaması İçin Parametre Uyarlama

Autoren: Şen, Burak Manguoğlu, Murat Department of Computer Engineering

Weitere Verfasser: Şen, Burak Manguoğlu, Murat Department of Computer Engineering

Schlagwörter: Reinforcement Learning, Spark Scheduling, Graph Neural Networks, Adaptive Optimization, Job Scheduling, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms::Distributed Systems

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/116039

Verfügbarkeit: https://hdl.handle.net/11511/116039

Optimizing air conditioner system efficiency through reinforcement learning ; Pekiştirmeli öğrenme ile klima sistemlerinin verimliliğinin optimizasyonu

Autoren: Hekimoğlu, Mehmet Burak Schmidt, Klaus Werner Ulusoy, İlkay et al.

Weitere Verfasser: Hekimoğlu, Mehmet Burak Schmidt, Klaus Werner Ulusoy, İlkay et al.

Schlagwörter: Reinforcement learning, Multi-agent systems, HVAC, Energy optimization, Indoor air quality, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/115653

Verfügbarkeit: https://hdl.handle.net/11511/115653

Minimally Supervised Tracking of Animal Colonies with Iteratively Trained Object Detectors ; Yinelemeli Eğitilen Nesne Algılayıcılar İle Hayvan Kolonilerinin Minimal Denetimli Takibi

Autoren: Gödelek, Oğuz Alemdar, Hande Department of Computer Engineering

Weitere Verfasser: Gödelek, Oğuz Alemdar, Hande Department of Computer Engineering

Schlagwörter: Animal tracking, Computer vision, High-density object detection, Self-training, Knowledge distillation, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Neural Networks

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/113490

Verfügbarkeit: https://hdl.handle.net/11511/113490

Thermodynamics behavior prediction of nickel alloys at elevated temperatures with artificial intelligence ; Yapay zeka ile yüksek sıcaklıktaki nikel alaşımları için termodinamik davranışın tahmini

Autoren: Dinçer, Mehmet Şamil Sargın, Irmak Department of Metallurgical and Materials Engineering

Weitere Verfasser: Dinçer, Mehmet Şamil Sargın, Irmak Department of Metallurgical and Materials Engineering

Schlagwörter: Bayesian Neural Network (BNN), Calculation of Phase Diagram (CALPHAD), High Throughput Calculation (HTC), Nickel-Based Superalloys, Arbis Subjects::Engineering and Technology::Metallurgical and Materials Engineering::Material science and engineering::Metallic Materials, Arbis Subjects::Engineering and Technology::Metallurgical and Materials Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Uncertainity Management

Dateibeschreibung: 77 pages; application/pdf

Relation: https://hdl.handle.net/11511/116631

Verfügbarkeit: https://hdl.handle.net/11511/116631

Deep plug-and-play and unrolling approaches for phase retrieval ; Faz geri kazanımı için derin-öğrenme içeren koy-ve-oynat düzenlileştirmeye ve baştan uca eğitilerek açılmaya dayalı yaklaşımlar

Autoren: Külbay, Deniz Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Weitere Verfasser: Külbay, Deniz Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Schlagwörter: Image reconstruction, Deep learning, Plug-and-play regularization, Phase retrieval, Algorithm unrolling, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/116071

Verfügbarkeit: https://hdl.handle.net/11511/116071

Graph neural networks on predicting aerodynamic flow fields around airfoils ; Kanat kesitleri çevresindeki aerodinamik akış alanları tahmininde grafik sinir ağları

Autoren: Çeltik, Süleyman Onat Alemdar, Hande Baran, Özgür Uğraş et al.

Weitere Verfasser: Çeltik, Süleyman Onat Alemdar, Hande Baran, Özgür Uğraş et al.

Schlagwörter: Deep learning, Graph neural networks, Airfoil aerodynamics, Adaptive mesh refinement, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Aeronautical and Space Engineering::Aeronautical Engineering::Flight Sciences::Aerodynamics

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/111388

Verfügbarkeit: https://hdl.handle.net/11511/111388

Augmenting Clip-based few shot recognition using shapes and concepts ; Şekiller ve kavramlar kullanarak Clip tabanlı az örnekli tanımayı geliştirme

Autoren: Güder, Erce Akbaş, Emre Department of Computer Engineering

Weitere Verfasser: Güder, Erce Akbaş, Emre Department of Computer Engineering

Schlagwörter: object recognition, image classification, few-shot learning, CLIP adaptation, deep learning, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Computer Learning and Pattern Recognition::Other

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/115645

Verfügbarkeit: https://hdl.handle.net/11511/115645

Token interchangeability and alpha-equivalence: enhancing the generalization capacity of language models for formal logic ; Belirteç değiştirilebilirliği ve alfa-eşdeğerlilik: dil modellerinin biçimsel mantık için genelleme kabiliyetinin iyileştirilmesi

Autoren: Işık, İlker Cinbiş, Ramazan Gökberk Department of Computer Engineering

Weitere Verfasser: Işık, İlker Cinbiş, Ramazan Gökberk Department of Computer Engineering

Schlagwörter: Machine learning, Formal methods, Language modeling, Linear temporal logic, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Automated Problem Solving, Theorem Proving and Logical Reasoning

Dateibeschreibung: 65 pages; application/pdf

Relation: https://hdl.handle.net/11511/115558

Verfügbarkeit: https://hdl.handle.net/11511/115558

Memory Networks as Neurocomputational Models of Cognitive Functions ; Kognitif Fonksiyonların Sinirbilimsel Modelleri Olarak Bellek Ağları

Autoren: ALTINUÇ, Sinan Onur Çakır, Murat Perit Department of Cognitive Sciences

Weitere Verfasser: ALTINUÇ, Sinan Onur Çakır, Murat Perit Department of Cognitive Sciences

Schlagwörter: Memory Networks, Rule Learning, Generalization, Computational Models of Mind, Cognitive Models, Working Memory, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition, Arbis Subjects::Natural Sciences::Life Sciences::Neurobiology, Arbis Subjects::Social Sciences and Humanities::Informatics::Cognitive Science

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/110953

Verfügbarkeit: https://hdl.handle.net/11511/110953

Predicting pedestrian crossing behavior with attention-based encodings of vehicle and pedestrian states ; Dikkat mekanizmasıyla kodlanmış araç ve yaya bilgileriyle yaya geçiş davranışının öngörülmesi

Autoren: Kumral, Mehmet Ali Schmidt, Klaus Werner Department of Electrical and Electronics Engineering

Weitere Verfasser: Kumral, Mehmet Ali Schmidt, Klaus Werner Department of Electrical and Electronics Engineering

Schlagwörter: Autonomous vehicles, Pedestrian intention prediction, Machine learning, Attention networks, Feature fusion, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Computer Learning

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/115591

Verfügbarkeit: https://hdl.handle.net/11511/115591

Hypernetwork-based hybrid recommendation system enhanced by LLM-augmented representations ; Büyük dil modelleri ile zenginleştirilen temsillerle güçlendirilmiş hiper-ağ tabanlı hibrit öneri sistemi

Autoren: Aytekin, Berke Ateş Ertekin Bolelli, Şeyda Department of Computer Engineering

Weitere Verfasser: Aytekin, Berke Ateş Ertekin Bolelli, Şeyda Department of Computer Engineering

Schlagwörter: Recommendation systems, Personalization, Large language models, Hypernetworks, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Dateibeschreibung: 91 pages; application/pdf

Relation: https://hdl.handle.net/11511/115578

Verfügbarkeit: https://hdl.handle.net/11511/115578

Bridging AI and Personalization: From Social Media Insights to Targeted Marketing ; Yapay Zeka ve Kişiselleştirme: Sosyal Medya İçgörülerinden Hedefli Pazarlamaya

Autoren: Çetinkaya, Yusuf Mücahit Toroslu, İsmail Hakkı Department of Computer Engineering

Weitere Verfasser: Çetinkaya, Yusuf Mücahit Toroslu, İsmail Hakkı Department of Computer Engineering

Schlagwörter: AI-driven personalization, social media, targeted marketing, user segmentation, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Natural Language Processing, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Text/Document Processing, Computer Learning and Pattern Recognition::Human Computer Interaction

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/113348

Verfügbarkeit: https://hdl.handle.net/11511/113348

Learning furniture assembly with reinforcement learning ; Pekiştirmeli öğrenme ile mobilya montajı öğrenme

Autoren: Aslan, Özgür Kalkan, Sinan Şahin, Erol et al.

Weitere Verfasser: Aslan, Özgür Kalkan, Sinan Şahin, Erol et al.

Schlagwörter: Assembly planning, Deep reinforcement learning, Graph neural networks, Causality, Error correction, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Human Computer Interaction

Dateibeschreibung: 64 pages; application/pdf

Relation: https://hdl.handle.net/11511/110398

Verfügbarkeit: https://hdl.handle.net/11511/110398

COMPARATIVE ANALYSIS OF MULTIPLE MACHINE LEARNING ALGORITHMS FOR POST-EARTHQUAKE BUILDING DAMAGE ASSESSMENT IN HATAY CITY FOLLOWING THE 2023 EARTHQUAKE ; HATAY İLİNDE 2023 DEPREMİ SONRASI BİNA HASAR TESPİTİ İÇİN ÇOKLU MAKİNE ÖĞRENME ALGORİTMALARININ KARŞILAŞTIRMALI ANALİZİ

Autoren: Kaya, Ömer Akyürek, Sevda Zuhal Kuter, Semih et al.

Weitere Verfasser: Kaya, Ömer Akyürek, Sevda Zuhal Kuter, Semih et al.

Schlagwörter: Multispectral Imagery, Post-Earthquake Building Damage Assessment, Machine Learning, Arbis Subjects::Engineering and Technology, Arbis Subjects::Natural Sciences::Statistics::Statistical Analysis and Applications, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Computer Learning

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/109446

Verfügbarkeit: https://hdl.handle.net/11511/109446

Intention mining: surfacing and reshaping deep intentions by proactive human computer interaction ; Niyet madenciliği: proaktif insan bilgisayar etkileşimiyle derin niyetlerin ortaya çıkarılması ve yeniden şekillendirilmesi

Autoren: Şencan, Cevdet Erkmen, Aydan Müşerref Ertuğrul, Aygün et al.

Weitere Verfasser: Şencan, Cevdet Erkmen, Aydan Müşerref Ertuğrul, Aygün et al.

Schlagwörter: Intention risk and stimulus factor impact (IRSI), Human intention reshaping, Human-computer interaction, Intention recognition, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Human Computer Interaction, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms, Arbis Subjects::Social Sciences and Humanities::Psychology

Dateibeschreibung: 132 pages; application/pdf

Relation: https://hdl.handle.net/11511/112941

Verfügbarkeit: https://hdl.handle.net/11511/112941

Fiducial marker detection and identification for individual honey bee tracking using cascaded deep learning models ; Ardışık derin öğrenme modelleri kullanarak bireysel arı takibi için güvenilir işaretçi tespiti ve çözümlenmesi

Autoren: Kara, Mustafa Yavuz Alemdar, Hande Department of Computer Engineering

Weitere Verfasser: Kara, Mustafa Yavuz Alemdar, Hande Department of Computer Engineering

Schlagwörter: Visual recognition, Object detection, Data generation, Visual fiducial marker, Bee tracking, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks

Dateibeschreibung: 62 pages; application/pdf

Relation: https://hdl.handle.net/11511/113487

Verfügbarkeit: https://hdl.handle.net/11511/113487