Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mehrdad Zakershahrak"'
Publikováno v:
IEEE Access, Vol 8, Pp 139084-139095 (2020)
The exponential growth of the Web documents has constituted the need for automatic document summarization. In this context, extractive document summarization, i.e., that task of extracting the most relevant information, removing redundancy and presen
Externí odkaz:
https://doaj.org/article/ab49a3360ed94326aa65d89eea177ffe
Publikováno v:
IEEE Access, Vol 8, Pp 139084-139095 (2020)
The exponential growth of the Web documents has constituted the need for automatic document summarization. In this context, extractive document summarization, i.e., that task of extracting the most relevant information, removing redundancy and presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6416cc025b81e7d81599d189bcc9209
https://doi.org/10.1109/access.2020.3012539
https://doi.org/10.1109/access.2020.3012539
Publikováno v:
IJCNN
The ever-increasing amount of text data makes it challenging for humans to extract the required information. This problem is even more vital for the medical domain, where accessing up-to-date information is essential. Physicians and researchers face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953cbf3345ec101c13dd11b5ef297e9d
https://doi.org/10.1109/ijcnn52387.2021.9533922
https://doi.org/10.1109/ijcnn52387.2021.9533922
Publikováno v:
Service-Oriented Computing – ICSOC 2020 Workshops ISBN: 9783030763510
ICSOC Workshops
ICSOC Workshops
Monitoring network traffic data to detect any hidden patterns of anomalies is a challenging and time-consuming task which requires high computing resources. To this end, an appropriate summarization technique is of great importance, where it can be a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::781508bce5c2d7c43d4da31c438f24ef
https://doi.org/10.1007/978-3-030-76352-7_31
https://doi.org/10.1007/978-3-030-76352-7_31
Publikováno v:
IROS
As AI becomes an integral part of our lives, the development of explainable AI, embodied in the decision-making process of an AI or robotic agent, becomes imperative. For a robotic teammate, the ability to generate explanations to justify its behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc532594e73549c0e88a86193460316
https://doi.org/10.1109/iros45743.2020.9341792
https://doi.org/10.1109/iros45743.2020.9341792
Publikováno v:
ICRA
Prior work on generating explanations in a planning and decision-making context has focused on providing the rationale behind an AI agent's decision making. While these methods provide the right explanations from the explainer's perspective, they fai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a757a253fbab2f32aa92e6c10a2d3741
http://arxiv.org/abs/2004.07822
http://arxiv.org/abs/2004.07822
Publikováno v:
Big Data Research. 26:100257
Perceiving data can be challenging as the analysis goal is subjective. Storytelling approaches try to address this challenge by focusing on the research problem of understanding the data in general and, more particularly in curation, summarization, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4b57d7901cd61578b2e716bf1ad5290
https://doi.org/10.1016/j.bdr.2021.100257
https://doi.org/10.1016/j.bdr.2021.100257
Publikováno v:
RO-MAN
Human-robot teaming is one of the most important applications of artificial intelligence in the fast-growing field of robotics. For effective teaming, a robot must not only maintain a behavioral model of its human teammates to project the team status
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5de1ce5c419832e96ed798d4b0a58c8
https://doi.org/10.1109/roman.2018.8525540
https://doi.org/10.1109/roman.2018.8525540