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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是4861-4870 订阅
排序:
Exploring Target Identification for Drug Design with K-Nearest Neighbors' Algorithm  22nd
Exploring Target Identification for Drug Design with K-Neare...
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22nd International Conference on artificial intelligence and Soft Computing (ICAISC)
作者: Jimenes-Vargas, Karina Perez-Castillo, Yunierkis Tejera, Eduardo Munteanu, Cristian R. Univ Las Amer Biocheminformat Res Grp Quito 170504 Ecuador Univ A Coruna Fac Comp Sci Dept Comp Sci & Informat Technol RNASA GrpCITIC La Coruna 15071 Spain
The identification of possible targets for a known compound by its sole molecular representation is one of the most important tasks for drug design and development. In this work, a methodology is proposed for target i...
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Reduction of Binary Attributes: Rough Set Theory Versus Formal Concept Analysis
Reduction of Binary Attributes: Rough Set Theory Versus Form...
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International Joint Conference on Rough Sets (IJCRS)
作者: Wasilewski, Piotr Kacprzyk, Janusz Zadrozny, Slawomir Polish Acad Sci Syst Res Inst Ul Newelska 6 PL-01447 Warsaw Poland Dalhousie Univ Fac Comp Sci 6050 Univ Ave Halifax NS Canada WIT Warsaw Sch Informat Technol Newelska 6 PL-01447 Warsaw Poland
The paper compares the concepts of reduction of binary attributes in rough set theory (RST) and the reduction of unary attributes or dychotomic attributes in formal concept analysis (FCA). We present some basics of bo...
来源: 评论
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents  22nd
On the Assessment of Deep Learning Models for Named Entity R...
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22nd EPIA Conference on artificial intelligence (EPIA)
作者: Albuquerque, Hidelberg O. Souza, Ellen Oliveira, Adriano L. I. Macedo, David Zanchettin, Cleber Vitorio, Douglas da Silva, Nadia F. F. de Carvalho, Andre C. P. L. F. Univ Fed Rural Pernambuco MiningBR Res Grp Recife PE Brazil Univ Fed Pernambuco Ctr Informat Recife PE Brazil Univ Fed Goias Inst Informat Goiania Go Brazil Univ Sao Paulo Inst Math & Comp Sci Sao Paulo Brazil
A large amount of legal and legislative documents are generated every year with highly specialized content and significant repercussions on society. Besides technical, the produced information is not semantically stan...
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Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy  15th
Scheduling Deep Learning Training in GPU Cluster Using the M...
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15th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
作者: Thanapol, Panissara Lavangnananda, Kittichai Leprevost, Franck Schleich, Julien Bouvry, Pascal Univ Luxembourg Fac Sci Technol & Med Dept Comp Sci Esch Sur Alzette Luxembourg King Mongkuts Univ Technol Thonburi Sch Informat Technol Bangkok Thailand Univ Luxembourg Dept Comp Sci Fac Sci Technol & Med Esch Sur Alzette Luxembourg Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust Esch Sur Alzette Luxembourg
Training large neural networks with huge amount of data using multiple Graphic Processing Units (GPUs) became widespread with the emergence of Deep Learning (DL) technology. It is usually operated in datacenters featu...
来源: 评论
DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing  15th
DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind ...
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15th International Conference on Computational Collective intelligence (ICCCI)
作者: Hanachi, Refka Sellami, Akrem Farah, Imed Riadh Mura, Mauro Dalla Univ Manouba RIADI Lab ENSI Manouba 2010 Tunisia Univ Lille Sci & Technol CRIStAL Lab Batiment Esprit F-59655 Villeneuve Dascq France IMT Atlant ITI Dept 655 Ave Technopole F-29280 Plouzane France Univ Grenoble Alpes Grenoble INP GIPSA Lab CNRS F-38000 Grenoble France
Recently, Deep Learning (DL)-based unmixing techniques have gained popularity owing to the robust learning of Deep Neural Networks (DNNs). In particular, the Autoencoder (AE) model, as a baseline network for unmixing,...
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A Few Good Sentences: Content Selection for Abstractive Text Summarization
A Few Good Sentences: Content Selection for Abstractive Text...
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
作者: Srivastava, Vivek Bhat, Savita Pedanekar, Niranjan TCS Res Pune Maharashtra India
The Abstractive text summarization has been of research interest for decades. Neural approaches, specifically recent transformer-based methods, have demonstrated promising performance in generating summaries with nove...
来源: 评论
Active Anomaly Detection for Autonomous Robots: A Benchmark  1
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24th Annual Conference on Towards Autonomous Robotic Systems (TAROS)
作者: Mantegazza, Dario Xhyra, Alind Giusti, Alessandro Guzzi, Jerome USI SUPSI Dalle Molle Inst Artificial Intelligence IDSIA Lugano Switzerland Constructor Univ Schaffhausen Switzerland Univ Svizzera Italiana Lugano Switzerland
Autonomous robots require well-trained Anomaly Detection systems to detect unexpected hazardous events in unknown deployment scenarios. Such systems are difficult to train when data is scarce. During deployment, lots ...
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The Delta Normal AGI  15th
The Delta Normal AGI
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15th International Conference on artificial General intelligence (AGI)
作者: ter Doest, Pieter PNF7 Holten Netherlands
In the quest for an artificial General intelligence (AGI) this paper presents a proposal for a symbol-based narrow AGI that uses a problem-driven mechanism within a certain domain. Using a small set of seeded ontology... 详细信息
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Obfuscating LLVM IR with the Application of Lambda Calculus  15th
Obfuscating LLVM IR with the Application of Lambda Calculus
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15th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
作者: Kasuya, Rei Yoshiura, Noriaki Saitama Univ Dept Informat & Comp Sci 255Shimo ookuboSakura ku Saitama Japan
Software obfuscation is a method that complicates data structures and algorithms in software to prevent software from being analyzed. This paper proposes a method to obfuscate loop structures in LLVM IR (LLVM is the a...
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A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning  27th
A Thompson Sampling Approach to Unifying Causal Inference an...
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27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
作者: Xu, Hanxuan Xie, Hong Chongqing Univ Coll Comp Sci Chongqing Peoples R China Chinese Acad Sci Chongqing Inst Green & Intelligent Technol Beijing Peoples R China
Offline logged data is quite common in many web applications such as recommendation, Internet advertising, etc., which offers great potentials to improve online decision making. It is a non-trivial task to utilize off...
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