Items where Division is "Computer Science and Software Engineering" and Year is 2023

A

Aktar, Mumu (2023) Automatic Evaluation of Collaterals in Ischemic Stroke. PhD thesis, Concordia University.

Al Adraa, Mohamad (2023) Expanding Horizons: A Comprehensive Exploration of Robustness, Performance and Programmable Data Plane Routing in Next Generation Data Centers. Masters thesis, Concordia University.

Alessandroni, Nicolás ORCID: https://orcid.org/0000-0002-6595-0969, Byers-Heinlein, Krista ORCID: https://orcid.org/0000-0002-7040-2510, Alasmar, Zaki, Bong, Ji Yae, Chalifour, Joshua ORCID: https://orcid.org/0000-0001-7663-0509, Dennie, Danielle ORCID: https://orcid.org/0000-0003-3771-2450, Dugré, Mathieu, Fibla-Reixachs, Laia, Glatard, Tristan, Harris, Rachel ORCID: https://orcid.org/0000-0002-7356-0127, Johnson, Aaron P., Khelifa, Rassim, Kos, Gregor, Moore, Charlotte, Peres-Neto, Pedro R., López Pérez, Melanie, Quirk, Erin, Sander-Montant, Andrea, Savary, Paul, Steele, Christopher, Vermeire, Brian C. and Williams, Madison (2023) Recommendations for Fostering Open Science at Concordia University. Working Paper. Concordia University, Montréal. (Unpublished)

Alsaig, Alaa (2023) A Tight Coupling Context-Based Framework for Dataset Discovery. PhD thesis, Concordia University.

Annabathuni, Sandeep chowdary (2023) Mitigating the Cold-Start Problem by Leveraging Category Level Associations. Masters thesis, Concordia University.

Arafe, Mohanad (2023) The effects of reproducibility & replicability of Parkinson's disease progression prediction using machine learning. Masters thesis, Concordia University.

Asadi, Nader (2023) New Insights on Catastrophic Forgetting in Neural Networks. Masters thesis, Concordia University.

B

Badran, Khaled (2023) Using ChatGPT to Augment Software Engineering Chatbots Datasets. Masters thesis, Concordia University.

Bagora, Prateek (2023) Data Labeling for Fault Detection in Cloud: A Test Suite-Based Active Learning Approach. Masters thesis, Concordia University.

Behizadi, Hamid Reza (2023) Application of Attention Mechanism in Deep Neural Network Architecture for System Failure Prognostics. Masters thesis, Concordia University.

Bordeau--Aubert, Korantin, Whatley, Justin, Nadeau, Sylvain, Glatard, Tristan and Jaumard, Brigitte (2023) Classification of Anomalies in Telecommunication Network KPI Time Series. Masters thesis, Concordia University.

Borhan Uddin, Md (2023) An Improved Approach for Extracting Frequently Extracted Code Idioms. Masters thesis, Concordia University.

C

Cavalheiro Ullmann, Gabriel (2023) SyDRA: An Exploratory Approach to Game Engine Architecture Recovery. Masters thesis, Concordia University.

Chaudhary, Muawiz (2023) New Methods For Domain Adaptation And Low Data Deep Learning. Masters thesis, Concordia University, Mila.

Chen, An Ran (2023) Extending the Reach of Fault Localization to Assist in Automated Debugging. PhD thesis, Concordia University.

D

Dam, Diptopol (2023) API Finder: Accurate Extraction of Method Binding Information from Call Sites without Building the Code. Masters thesis, Concordia University.

Dhall, Ishika (2023) Enhancing Text Annotation with Few-shot and Active Learning: A Comprehensive Study and Tool Development. Masters thesis, Concordia University.

Dutta, Riya (2023) Diversity Awareness in Software Engineering Participant Research. Masters thesis, Concordia University.

E

Entezami, Mahmoudreza and Havaeji, Hossein (2023) Green Drug Supply Chain Investigation by Time-Market Balance and Risk. World Journal of Engineering and Technology, 11 (3). pp. 611-631. ISSN 2331-4249

F

Fallahzadeh, Emad (2023) Assessing the Efficacy of Test Selection, Prioritization, and Batching Strategies in the Presence of Flaky Tests and Parallel Execution at Scale. PhD thesis, Concordia University.

Farahnak, Farhood (2023) Ordering Problems in Natural Language Generation. PhD thesis, Concordia University.

Flageol, William (2023) Improving Object-Oriented Programming by Integrating Language Features to Support Immutability. PhD thesis, Concordia University.

Fulleringer, Alexander (2023) Manipulating Explanations: Modifying Feature Visualizatio in in Artificial Neural Networks. Masters thesis, Concordia University.

G

Gadelrab, Mahmoud ORCID: https://orcid.org/0000-0001-7581-4664 (2023) LEO Satellite Feeding System: Design and Analysis. Masters thesis, Concordia University.

H

Hanel, Blaise (2023) Discourse Analysis of Argumentative Essays of English Learners based on their CEFR Level. Masters thesis, Concordia University.

Hasan, Mohammed Tayeeb (2023) Fine-Grained Source Code Tracking and Visualization in Commit History. Masters thesis, Concordia University.

J

Jaberi, Solmaz ORCID: https://orcid.org/0009-0009-3896-0596 (2023) Using ASSL as a Method for Intent Expression to Enact Autonomic Networking. Masters thesis, Concordia University.

Jalayer, Sepehr (2023) Immersive Virtual Reality Tool for Connectome Visualization and Analysis. Masters thesis, Concordia University.

Javan Jafari Bojnordi, Abbas (2023) Dependency Management Practices for the npm Software Ecosystem. PhD thesis, Concordia University.

Jebbar, Oussama (2023) Live Testing of Cloud Services. PhD thesis, Concordia University.

Joshi, Yashas (2023) Towards Understanding and Expanding Locomotion in Physical and Virtual Realities. PhD thesis, Concordia University.

K

Kandarkar, Pradnya (2023) On Zero-Shot Multi-Speaker Text-to-Speech Using Deep Learning. Masters thesis, Concordia University.

Katyal, Jatin (2023) Synthetic Data as a Supplement for Training Deep Learning Models. Masters thesis, Concordia University.

Kazemipour, Negar (2023) Mixed Reality and Force Feedback Haptic Tools for Improved Surgical Planning. Masters thesis, Concordia University.

Khamesi, Zahra (2023) Deep Learning For The Classification of Lung Diseases Using Chest X-Rays. Masters thesis, Concordia University.

Khanlari, Aram (2023) Broadcasting in highly connected graphs. Masters thesis, Concordia University.

Khannouz, Martin (2023) Data Stream Classification with Mondrian Forest under Memory Constraints. PhD thesis, Concordia University.

Khatoonabadi, SayedHassan (2023) Pull Request Abandonment in Open-Source Projects. PhD thesis, Concordia University.

M

Makkouk, Tarek (2023) Investigating and Testing Performance Issues in Deep Learning Frameworks. Masters thesis, Concordia University.

Marhwal, Vashisht (2023) MARFL: An Intensional Language for Demand-Driven Management of Machine Learning Backends. Masters thesis, Concordia University.

Mehrafrooz Mayvan, Zohreh (2023) The Design and Implementation of a Query Platform and Simulation Tool for the Analysis of UML State Machines through Declarative Modeling. Masters thesis, Concordia University.

Mehta, Meet Divyesh (2023) Design and Implementation of an IoT Platform for Flood Prediction. Masters thesis, Concordia University.

Moocheet, Nalveer (2023) Minimizing Energy Consumption in Data Centers Using Embedded Sensors and Machine Learning. Masters thesis, Concordia University.

mohammad khalid, nasir (2023) clip-mesh: generating textured meshes from text using pretrained image-text models. Masters thesis, Concordia University.

N

Normandin-Taillon, Hubert (2023) Forecasting the Value-at-Risk of an Equity Portfolio: A Recurrent Mixture Density Network Approach. Masters thesis, Concordia University.

Noroozi, Mohammad (2023) Design and Development of LapBot: An Interactive Mobile Game for Mastering Safe Laparoscopic Cholecystectomy. Masters thesis, Concordia University.

Nouri, Pedram (2023) PurityChecker: A Tool for Detecting Purity of Method-level Refactoring Operations. Masters thesis, Concordia University.

P

Patel, Adeetya (2023) Scaling Local Learning for Supervised and Self-supervised Learning. Masters thesis, Concordia University.

Portafaix, Aloys (2023) Computer Vision-Based Guidance Tool for Correct Radiographic Hand Positioning. Masters thesis, Concordia University.

R

Ramburn, Tirathraj (2023) Improving Blockchain's Throughput via Small but Highly Fault-Tolerant Shards. Masters thesis, Concordia University.

Rasoulian, Amirhossein (2023) Cerebrovascular Pathology Segmentation Using Weakly Supervised Deep Learning Methods. Masters thesis, Concordia University.

Roostaei Ali Mehr, Pouria (2023) Scalable Automatic Service Composition using Genetic Algorithms. Masters thesis, Concordia University.

S

Sarfi, Amirmohammad (2023) On Using Simulated Annealing in Training Deep Neural Networks. Masters thesis, Concordia University.

T

Taghavi, Milad (2023) A Knowledge Graph to Represent Software Vulnerabilities. Masters thesis, Concordia University.

Tran, Trong Tuan (2023) A Flexible Heuristic Closed-Loop Algorithm for QoS Assurance in 5G End-to-End Network Slices. Masters thesis, Concordia University.

V

Vashisth, Shubham (2023) Automated Data Preparation using Semantics of Data Science Artifacts. Masters thesis, Concordia University.

Y

Yagnik, Bhargav Charudatt (2023) Design and Implementation of Machine Learning Models and Algorithms for Flood, Drought and Frazil Prediction. Masters thesis, Concordia University.