Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sakr, Nourhan"'
This paper designs a sequential repeated game of a micro-founded society with three types of agents: individuals, insurers, and a government. Nascent to economics literature, we use Reinforcement Learning (RL), closely related to multi-armed bandit p
Externí odkaz:
http://arxiv.org/abs/2207.01010
In this work, we propose a technique to transfer speech recognition capabilities from audio speech recognition systems to visual speech recognizers, where our goal is to utilize audio data during lipreading model training. Impressive progress in the
Externí odkaz:
http://arxiv.org/abs/2207.05692
Autor:
El-Husseiny, Momen, Mashaly, Islam, Azouz, Nouran, Sakr, Nourhan, Seddik, Karim, Atallah, Samer
Publikováno v:
In Transportation Research Interdisciplinary Perspectives July 2024 26
Autor:
Elashmawy, Shahd, Ramsis, Marian, Eraqi, Hesham M., Eldeshnawy, Farah, Mabrouk, Hadeel, Abugabal, Omar, Sakr, Nourhan
Despite the advancement in the domain of audio and audio-visual speech recognition, visual speech recognition systems are still quite under-explored due to the visual ambiguity of some phonemes. In this work, we propose a new lip-reading model that c
Externí odkaz:
http://arxiv.org/abs/2108.03543
The swift transitions in higher education after the COVID-19 outbreak identified a gap in the pedagogical support available to faculty. We propose a smart, knowledge-based chatbot that addresses issues of knowledge distillation and provides faculty w
Externí odkaz:
http://arxiv.org/abs/2104.12558
Autor:
Farid, Karim, Sakr, Nourhan
Learning by interaction is the key to skill acquisition for most living organisms, which is formally called Reinforcement Learning (RL). RL is efficient in finding optimal policies for endowing complex systems with sophisticated behavior. All paradig
Externí odkaz:
http://arxiv.org/abs/2103.08850
Autor:
Sakr, Nourhan
Contemporary research in building optimization models and designing algorithms has become more data-centric and application-specific. While addressing three problems in the fields of combinatorial optimization and machine learning (ML), this work hig
Autor:
Bojarski, Mariusz, Choromanska, Anna, Choromanski, Krzysztof, Fagan, Francois, Gouy-Pailler, Cedric, Morvan, Anne, Sakr, Nourhan, Sarlos, Tamas, Atif, Jamal
We consider an efficient computational framework for speeding up several machine learning algorithms with almost no loss of accuracy. The proposed framework relies on projections via structured matrices that we call Structured Spinners, which are for
Externí odkaz:
http://arxiv.org/abs/1610.06209
Autor:
Sakr, Nourhan, Stein, Cliff
This work studies online scheduling algorithms for buffer management, develops new algorithms, and analyzes their performances. Packets arrive at a release time r, with a non-negative weight w and an integer deadline d. At each time step, at most one
Externí odkaz:
http://arxiv.org/abs/1603.07947
Akademický článek
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