Hamid R. Rabiee
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View article: Computational drug design in the artificial intelligence era: A systematic review of molecular representations, generative architectures, and performance assessment
Computational drug design in the artificial intelligence era: A systematic review of molecular representations, generative architectures, and performance assessment Open
View article: Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect Open
The rapid development of generative models has made it increasingly crucial to develop detectors that can reliably detect synthetic images. Although most of the work has now focused on cross-generator generalization, we argue that this vie…
View article: Artificial intelligence applications in health insurances: a scoping review
Artificial intelligence applications in health insurances: a scoping review Open
View article: Using Non-Lipschitz Signum-Based Functions for Distributed Optimization and Machine Learning: Trade-Off Between Convergence Rate and Optimality Gap
Using Non-Lipschitz Signum-Based Functions for Distributed Optimization and Machine Learning: Trade-Off Between Convergence Rate and Optimality Gap Open
In recent years, the prevalence of large-scale datasets and the demand for sophisticated learning models have necessitated the development of efficient distributed machine learning (ML) solutions. Convergence speed is a critical factor inf…
View article: Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity
Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity Open
This paper considers automatic generation control over an information-sharing network of communicating generators as a multi-agent system. The optimization solution is distributed among the agents based on information consensus algorithms,…
View article: State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability
State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability Open
This systematic review critically evaluates publicly available abdominal CT datasets and their suitability for artificial intelligence (AI) applications in clinical settings. We examined 46 publicly available abdominal CT datasets (50,256 …
View article: Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity
Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity Open
Distributed optimization advances centralized machine learning methods by enabling parallel and decentralized learning processes over a network of computing nodes. This work provides an accelerated consensus-based distributed algorithm for…
View article: Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions
Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions Open
View article: LensCraft: Your Professional Virtual Cinematographer
LensCraft: Your Professional Virtual Cinematographer Open
Digital creators, from indie filmmakers to animation studios, face a persistent bottleneck: translating their creative vision into precise camera movements. Despite significant progress in computer vision and artificial intelligence, curre…
View article: Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions
Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions Open
Camera trajectory generation is a cornerstone in computer graphics, robotics, virtual reality, and cinematography, enabling seamless and adaptive camera movements that enhance visual storytelling and immersive experiences. Despite its grow…
View article: Fast, Not Fancy: Rethinking G2P with Rich Data and Rule-Based Models
Fast, Not Fancy: Rethinking G2P with Rich Data and Rule-Based Models Open
Homograph disambiguation remains a significant challenge in grapheme-to-phoneme (G2P) conversion, especially for low-resource languages. This challenge is twofold: (1) creating balanced and comprehensive homograph datasets is labor-intensi…
View article: Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning Open
Recommending items to users has long been a fundamental task, and studies have tried to improve it ever since. Most well-known models commonly employ representation learning to map users and items into a unified embedding space for matchin…
View article: Single-Bit Distributed Equality-Constraint Optimal Scheduling and Allocation
Single-Bit Distributed Equality-Constraint Optimal Scheduling and Allocation Open
Distributed resource allocation finds applications in multi-agent-based networked scheduling scenarios. In this work, a single-bit solution is proposed for distributed resource allocation to optimize strictly convex cost functions. The mai…
View article: Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study
Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study Open
View article: UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Open
Graph-structured datasets often suffer from class imbalance, which complicates node classification tasks. In this work, we address this issue by first providing an upper bound on population risk for imbalanced transductive node classificat…
View article: Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization Open
Intelligent transportation systems have recently emerged to address the growing interest for safer, more efficient, and sustainable transportation solutions. In this direction, this paper presents distributed algorithms for control and opt…
View article: Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles Open
Intelligent transportation systems (ITS) aim to advance innovative strategies relating to different modes of transport, traffic management, and autonomous vehicles. This paper studies the platoon of connected and autonomous vehicles (CAV) …
View article: Cueless EEG imagined speech for subject identification: dataset and benchmarks
Cueless EEG imagined speech for subject identification: dataset and benchmarks Open
Electroencephalogram (EEG) signals have emerged as a promising modality for biometric identification. While previous studies have explored the use of imagined speech with semantically meaningful words for subject identification, most have …
View article: Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models
Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models Open
View article: ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages
ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages Open
View article: DANI: fast diffusion aware network inference with preserving topological structure property
DANI: fast diffusion aware network inference with preserving topological structure property Open
Numerous algorithms have been proposed to infer the underlying structure of the social networks via observed information propagation. The previously proposed algorithms concentrate on inferring accurate links and neglect preserving the ess…
View article: Detecting Viral Social Events through Censored Observation with Deep Survival Analysis
Detecting Viral Social Events through Censored Observation with Deep Survival Analysis Open
Users increasing activity across various social networks made it the most widely used platform for exchanging and propagating information among individuals. To spread information within a network, a user initially shared information on a s…
View article: LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study
LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study Open
Grapheme-to-phoneme (G2P) conversion is critical in speech processing, particularly for applications like speech synthesis. G2P systems must possess linguistic understanding and contextual awareness of languages with polyphone words and co…
View article: ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages
ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages Open
In this study, we introduce ManaTTS, the most extensive publicly accessible single-speaker Persian corpus, and a comprehensive framework for collecting transcribed speech datasets for the Persian language. ManaTTS, released under the open …
View article: CNVDeep: deep association of copy number variants with neurocognitive disorders
CNVDeep: deep association of copy number variants with neurocognitive disorders Open
Our model effectively identifies regions associated with phenotypic traits using regularized deep learning. Rather than attempting to analyze the whole genome, CNVDeep allows us to focus only on the causative regions of disease.
View article: Control of Epidemic Process via Link Removal: Flattening the Infection Curve by Social Distancing
Control of Epidemic Process via Link Removal: Flattening the Infection Curve by Social Distancing Open
Spreading processes on complex networks have gained significant attention as a means to model the spread of infectious diseases in real social networks. This paper focuses on controlling epidemic processes and reducing the peak of contagio…
View article: Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks Open
Decentralized optimization strategies are helpful for various applications, from networked estimation to distributed machine learning. This paper studies finite-sum minimization problems described over a network of nodes and proposes a com…
View article: DeepDRA: Drug repurposing using multi-omics data integration with autoencoders
DeepDRA: Drug repurposing using multi-omics data integration with autoencoders Open
Cancer treatment has become one of the biggest challenges in the world today. Different treatments are used against cancer; drug-based treatments have shown better results. On the other hand, designing new drugs for cancer is costly and ti…
View article: How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach
How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach Open
Decentralized algorithms have gained substantial interest owing to advancements in cloud computing, Internet of Things (IoT), intelligent transportation networks, and parallel processing over sensor networks. The convergence of such algori…
View article: HGTDR: Advancing drug repurposing with heterogeneous graph transformers
HGTDR: Advancing drug repurposing with heterogeneous graph transformers Open
Motivation Drug repurposing is a viable solution for reducing the time and cost associated with drug development. However, thus far, the proposed drug repurposing approaches still need to meet expectations. Therefore, it is crucial to offe…