Zobrazeno 1 - 10
of 30 777
pro vyhledávání: '"Dehghani, A."'
Autor:
Hejabi, Parsa, Rahmati, Elnaz, Ziabari, Alireza S., Golazizian, Preni, Thomason, Jesse, Dehghani, Morteza
Large Language Models (LLMs) have shown impressive capabilities in complex tasks and interactive environments, yet their creativity remains underexplored. This paper introduces a simulation framework utilizing the game Balderdash to evaluate both the
Externí odkaz:
http://arxiv.org/abs/2411.10422
Autor:
Arikan, Demir, Zhang, Peiyao, Sommersperger, Michael, Dehghani, Shervin, Esfandiari, Mojtaba, Taylor, Russel H., Nasseri, M. Ali, Gehlbach, Peter, Navab, Nassir, Iordachita, Iulian
Robotic platforms provide repeatable and precise tool positioning that significantly enhances retinal microsurgery. Integration of such systems with intraoperative optical coherence tomography (iOCT) enables image-guided robotic interventions, allowi
Externí odkaz:
http://arxiv.org/abs/2411.06557
Autor:
Alizadeh, Meysam, Asgari, Yasaman, Samei, Zeynab, Yari, Sara, Dehghani, Shirin, Kubli, Mael, Zare, Darya, Bermeo, Juan Diego, Batzdorfer, Veronika, Gilardi, Fabrizio
Academics increasingly acknowledge the predictive power of social media for a wide variety of events and, more specifically, for financial markets. Anecdotal and empirical findings show that cryptocurrencies are among the financial assets that have b
Externí odkaz:
http://arxiv.org/abs/2411.05577
Autor:
Dehghani, Mahshid, Shafiee, Amirahmad, Shafiei, Ali, Fallah, Neda, Alizadeh, Farahmand, Gholinejad, Mohammad Mehdi, Behroozi, Hamid, Habibi, Jafar, Asgari, Ehsaneddin
Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets. This paper introduces "Emo3D", an extensive "Text-Image-Expression dataset" spanning a wide spectrum of human emotions, each paired with i
Externí odkaz:
http://arxiv.org/abs/2410.02049
Autor:
Hohmann, Martin, Kreiss, Lucas, Dehghani, Faramarz, Ni, Dongqin, Gmelch, Max, Friedrich, Oliver, Büchler, Lorenz, Schmidt, Michael
This paper introduces the combination of Laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy (RS) and diffuse reflectance spectroscopy (DRS) in the field of biomedical research. Thereby, the results from RS and LIBS are combined with prev
Externí odkaz:
http://arxiv.org/abs/2409.02511
Autor:
Dehghani, Farzaneh, Dibaji, Mahsa, Anzum, Fahim, Dey, Lily, Basdemir, Alican, Bayat, Sayeh, Boucher, Jean-Christophe, Drew, Steve, Eaton, Sarah Elaine, Frayne, Richard, Ginde, Gouri, Harris, Ashley, Ioannou, Yani, Lebel, Catherine, Lysack, John, Arzuaga, Leslie Salgado, Stanley, Emma, Souza, Roberto, Santos, Ronnie de Souza, Wells, Lana, Williamson, Tyler, Wilms, Matthias, Wahid, Zaman, Ungrin, Mark, Gavrilova, Marina, Bento, Mariana
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, from healthcare to economics. However, its black box nature presents sign
Externí odkaz:
http://arxiv.org/abs/2408.15550
Autor:
Muttillo, Vittoriano, Di Sipio, Claudio, Rubei, Riccardo, Berardinelli, Luca, Dehghani, MohammadHadi
Producing accurate software models is crucial in model-driven software engineering (MDE). However, modeling complex systems is an error-prone task that requires deep application domain knowledge. In the past decade, several automated techniques have
Externí odkaz:
http://arxiv.org/abs/2408.14259
Autor:
Tezerjani, Mohammad Dehghani, Khoshnazar, Mohammad, Tangestanizadeh, Mohammadhamed, Yang, Qing
The emergence of mobile robotics, particularly in the automotive industry, introduces a promising era of enriched user experiences and adept handling of complex navigation challenges. The realization of these advancements necessitates a focused techn
Externí odkaz:
http://arxiv.org/abs/2408.14518
Autor:
Zhang, Suyi, Alam, Ekram, Baber, Jack, Bianco, Francesca, Turner, Edward, Chamanzar, Maysam, Dehghani, Hamid
In the coming decade, artificial intelligence systems will continue to improve and revolutionise every industry and facet of human life. Designing effective, seamless and symbiotic communication paradigms between humans and AI agents is increasingly
Externí odkaz:
http://arxiv.org/abs/2408.05362
Autor:
Zhang, Suyi, Alam, Ekram, Baber, Jack, Bianco, Francesca, Turner, Edward, Chamanzar, Maysam, Dehghani, Hamid
In the coming decade, artificial intelligence systems are set to revolutionise every industry and facet of human life. Building communication systems that enable seamless and symbiotic communication between humans and AI agents is increasingly import
Externí odkaz:
http://arxiv.org/abs/2408.05361