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@InProceedings{ 10.1145/3448139.3448203,
author = {Hilliger, Isabel and Miranda, Constanza and Schuit,
Gregory and Duarte, Fernando and Anselmo, Martin and Parra,
Denis},
title = {Evaluating a Learning Analytics Dashboard to Visualize
Student Self-Reports of Time-on-Task: A Case Study in a
Latin American University},
year = {2021},
isbn = {9781450389358},
url = {https://doi.org/10.1145/3448139.3448203},
doi = {10.1145/3448139.3448203},
booktitle = {LAK21: 11th International Learning Analytics and Knowledge
Conference},
pages = {592–598},
series = {LAK21}
}
@InProceedings{ 1706.07515,
author = {Vicente Dominguez and Pablo Messina and Denis Parra and
Domingo Mery and Christoph Trattner and Alvaro Soto},
title = {Comparing Neural and Attractiveness-based Visual Features
for Artwork Recommendation},
year = {2017},
eprint = {arXiv:1706.07515},
url = {https://arxiv.org/pdf/1706.07515.pdf},
doi = {10.1145/3125486.3125495},
booktitle = {Proceedings of the Workshop on Deep Learning for
Recommender Systems, co-located at RecSys 2017}
}
@InProceedings{ 1807.09870,
author = {Felipe del Rio and Pablo Messina and Vicente Dominguez and
Denis Parra},
title = {Do Better ImageNet Models Transfer Better... for Image
Recommendation?},
year = {2018},
eprint = {arXiv:1807.09870},
url = "https://arxiv.org/abs/1807.09870",
booktitle = {2nd workshop on Intelligent Recommender Systems by
Knowledge Transfer and Learning}
}
@InProceedings{ 8569404,
author = {Catalán, Hernán F. and Lobel, Hans and Herrera, Juan
C.},
booktitle = {2018 21st International Conference on Intelligent
Transportation Systems (ITSC)},
title = {Classifying Drivers' Behavior in Public Transport using
Inertial Measurement Units and Decision Trees},
year = {2018},
volume = {},
number = {},
pages = {217-222},
doi = {10.1109/ITSC.2018.8569404}
}
@Article{ 8708245,
author = {Méndez, José Tomás and Lobel, Hans and Parra, Denis and
Herrera, Juan Carlos},
journal = {IEEE Access},
title = {Using Twitter to Infer User Satisfaction With Public
Transport: The Case of Santiago, Chile},
year = {2019},
volume = {7},
number = {},
pages = {60255-60263},
doi = {10.1109/ACCESS.2019.2915107}
}
@Article{ 9410222,
author = {Correa, Pedro Pablo and Cipriano, Aldo and Nuñez, Felipe
and Salas, Juan Carlos and Lobel, Hans},
journal = {IEEE Access},
title = {Forecasting copper electrorefining cathode rejection by
means of recurrent neural networks with attention
mechanism},
year = {2021},
volume = {},
number = {},
pages = {1-1},
doi = {10.1109/ACCESS.2021.3074780}
}
@Article{ activecarvallo2020,
title = "Automatic document screening of medical literature using
word and text embeddings in an active learning setting",
journal = "Scientometrics",
year = "2020",
doi = "10.1007/s11192-020-03648-6",
url = "http://dparra.sitios.ing.uc.cl/pdfs/Pre_print_Carvallo_Document_Screening_Active_Learning.pdf",
author = "Andres Carvallo and Denis Parra and Hans Lobel and Alvaro
Soto",
keywords = "Active learning, Document screening, Natural language
processing"
}
@InProceedings{ aguilera:etat:2007,
author = {JM. Aguilera and A. Cipriano and M. Erana and I. Lillo and
D. Mery and A. Soto and C. Valdivieso},
title = {Computer Vision for Quality Control in Latin American Food
Industry, A Case Study},
booktitle = {Int. Conf. on Computer Vision (ICCV): Workshop on Computer
Vision Applications for Developing Countries},
pages = {},
year = {2007},
abstract = {},
url = {}
}
@InProceedings{ alfaro:etal:2013,
author = { A. Alfaro and D. Mery and A. Soto},
title = {Human Action Recognition from Inter-Temporal Dictionaries
of Key-Sequences},
booktitle = {6th Pacific-Rim Symposium on Image and Video Technology,
PSIVT},
year = {2013},
abstract = {This paper addresses the human action recognition in video
by proposing a method based on three main processing steps.
First, we tackle problems related to intraclass variations
and differences in video lengths. We achieve this by
reducing an input video to a set of key-sequences that
represent atomic meaningful acts of each action class.
Second, we use sparse coding techniques to learn a
representation for each key-sequence. We then join these
representations still preserving information about temporal
relationships. We believe that this is a key step of our
approach because it provides not only a suitable shared rep
resentation to characterize atomic acts, but it also
encodes global tem poral consistency among these acts.
Accordingly, we call this represen tation inter-temporal
acts descriptor. Third, we use this representation and
sparse coding techniques to classify new videos. Finally,
we show that, our approach outperforms several
state-of-the-art methods when is tested using common
benchmarks.},
url = {http://saturno.ing.puc.cl/media/papers_alvaro/Anali-PSIVT-13.pdf}
}
@InProceedings{ anali:etal:2016,
author = {A. Alfaro and D. Mery and A. Soto},
title = {Action Recognition in Video Using Sparse Coding and
Relative Features},
booktitle = {{CVPR}},
year = {2016},
abstract = {This work presents an approach to category-based action
recognition in video using sparse coding techniques. The
proposed approach includes two main contributions: i) A new
method to handle intra-class variations by decomposing each
video into a reduced set of representative atomic action
acts or key-sequences, and ii) A new video descriptor,
ITRA: Inter-Temporal Relational Act Descriptor, that
exploits the power of comparative reasoning to capture
relative similarity relations among key-sequences. In terms
of the method to obtain key-sequences, we introduce a loss
function that, for each video, leads to the identification
of a sparse set of representative key-frames capturing
both, relevant particularities arising in the input video,
as well as relevant generalities arising in the complete
class collection. In terms of the method to obtain the ITRA
descriptor, we introduce a novel scheme to quantify
relative intra and inter-class similarities among local
temporal patterns arising in the videos. The resulting ITRA
descriptor demonstrates to be highly effective to
discriminate among action categories. As a result, the
proposed approach reaches remarkable action recognition
performance on several popular benchmark datasets,
outperforming alternative state-of-the-art techniques by a
large margin.},
url = {http://saturno.ing.puc.cl/media/papers_alvaro/FinalVersion-Anali-CVPR-2016.pdf}
}
@Article{ andjelkovic2018,
title = "Moodplay: Interactive Music Recommendation based on
Artists’ Mood Similarity ",
author = "Andjelkovic, Ivana and Parra, Denis and O'Donovan, John",
journal = "International Journal of Human-Computer Studies ",
volume = "",
number = "",
pages = " - ",
year = "2018",
issn = "1071-5819",
doi = "10.1016/j.ijhcs.2018.04.004",
keywords = "interactive visualization, recommender systems, artists'
emotion, music recommendation, user study",
url = "http://dparra.sitios.ing.uc.cl/pdfs/preprint-andjelkovic-IJCHS_Moodplay.pdf"
}
@Article{ araneda:fienberg:soto:2007,
author = {A. Araneda and S. Fienberg and A. Soto},
title = {A Statistical approach to simultaneous mapping and
localization for mobile robots},
journal = {The Annals of Applied Statistics},
volume = {1},
number = {1},
pages = {66-84},
year = {2007},
abstract = {},
url = {}
}
@InProceedings{ araneda:soto:2004,
author = {A. Araneda and A. Soto,},
title = {Statistical Inference in Mapping and Localization for
Mobile Robots},
booktitle = {Advances in Artificial Intelligence, Iberamia-04, LNAI
3315},
pages = {545-554},
year = {2004},
abstract = {},
url = {}
}
@InProceedings{ araneda:soto:2005,
author = {A. Araneda and A. Soto},
title = {Important Sampling in Mapping and Localization by a Mobile
Robot},
booktitle = {Workshop on Case Studies of Bayesian Statistics},
year = {2005},
abstract = {},
url = {}
}
@InProceedings{ araujo2019,
author = {Araujo, Vladimir and Rios, Felipe and Parra, Denis},
title = {Data Mining for Item Recommendation in MOBA Games},
booktitle = {Proceedings of the 13th ACM Conference on Recommender
Systems},
series = {RecSys '19},
year = {2019},
location = {Copenhagen, Denmark},
pages = {393--397},
numpages = {5},
url = {http://dparra.sitios.ing.uc.cl/pdfs/MOBArecsys2019-preprint.pdf},
doi = {10.1145/3298689.3346986},
publisher = {ACM},
keywords = {MOBA games, data mining, item recommendation}
}
@InProceedings{ bailey2018,
author = "Bailey, Samuel M. and Wei, Justin A. and Wang, Chaoli and
Parra, Denis and Brusilovsky, Peter",
title = "CNVis: A Web-Based Visual Analytics Tool for Exploring
Conference Navigator Data",
booktitle = {IS&T Electronic Imaging 2018 Symposium },
year = "2018",
url = "http://dparra.sitios.ing.uc.cl/pdfs/vda18-cnvis.pdf"
}
@InProceedings{ balbymarinho:2015:rpr:2792838.2799674,
acmid = {2799674},
address = {New York, NY, USA},
author = {Balby Marinho, Leandro and Trattner, Christoph and Parra,
Denis},
booktitle = {Proceedings of the 9th ACM Conference on Recommender
Systems},
date-added = {2015-12-30 15:00:53 +0000},
date-modified = {2015-12-30 15:05:38 +0000},
doi = {10.1145/2792838.2799674},
isbn = {978-1-4503-3692-5},
keywords = {location-based recommendations, virtual environments},
location = {Vienna, Austria},
numpages = {4},
pages = {245--248},
publisher = {ACM},
series = {RecSys '15},
title = {Are Real-World Place Recommender Algorithms Useful in
Virtual World Environments?},
url = {http://web.ing.puc.cl/~dparra/pdfs/Parra-Marinho-Trattner-Recsys2015-VirtualWorlds-LBSN-preprint.pdf},
year = {2015},
bdsk-url-1 = {http://doi.acm.org/10.1145/2792838.2799674},
bdsk-url-2 = {http://dx.doi.org/10.1145/2792838.2799674}
}
@InProceedings{ ben:etal:2018,
author = {B. Zhang and JC. Niebles and A. Soto},
title = {Interpretable Visual Question Answering by Visual
Grounding from Automatic Attention Annotations},
booktitle = {WACV},
year = {2019},
abstract = {A key aspect of VQA models that are interpretable is their
ability to ground their answers to relevant regions in the
image. Current approaches with this capability rely on
supervised learning and human annotated groundings to train
attention mechanisms inside the VQA architecture.
Unfortunately, obtaining human annotations specific for
visual grounding is difficult and expensive. In this work,
we demonstrate that we can effectively train a VQA
architecture with grounding supervision that can be
automatically obtained from available region descriptions
and object annotations. We also show that our model trained
with this mined supervision generates visual groundings
that achieve higher correlation to manually-annotated
groundings than alternative approaches, even in the case of
state-of-the-art algorithms that are directly trained with
human grounding annotations.},
url = {https://arxiv.org/abs/1808.00265}
}
@InProceedings{ brusilovsky2010collaborative,
author = {Brusilovsky, Peter and Parra, Denis and Sahebi, Shaghayegh
and Wongchokprasitti, Chirayu},
booktitle = {Collaborative Computing: Networking, Applications and
Worksharing (CollaborateCom), 2010 6th International
Conference on},
organization = {IEEE},
pages = {1--10},
title = {Collaborative information finding in smaller communities:
The case of research talks},
year = {2010}
}
@Article{ cansado:soto:2008,
author = {A. Cansado and A. Soto},
title = {Unsupervised Anomaly Detection in Large Databases Using
Bayesian Networks},
journal = {Applied Artificial Intelligence},
volume = {22},
number = {4},
pages = {309-330},
year = {2008},
abstract = {Today, there has been a massive proliferation of huge
databases storing valuable information. The opportunities
of an effective use of these new data sources are enormous,
however, the huge size and dimensionality of current large
databases call for new ideas to scale up current
statistical and computational approaches. This paper
presents an application of Ar- tificial Intelligence
technology to the problem of automatic detection of
candidate anomalous records in a large database. We build
our approach with three main goals in mind: 1)An effective
detection of the records that are potentially anomalous,
2)A suitable selection of the subset of at- tributes that
explains what makes a record anomalous, and 3)An efficient
implementation that allows us to scale the approach to
large databases. Our algorithm, called Bayesian Network
Anomaly Detector (BNAD), uses the joint probability density
function (pdf) provided by a Bayesian Net- work (BN) to
achieve these goals. By using appropriate data structures,
advanced caching techniques, the flexibility of Gaussian
Mixture models, and the efficiency of BNs to model joint
pdfs, BNAD manages to effi- ciently learn a suitable BN
from a large dataset. We test BNAD using synthetic and real
databases, the latter from the fields of manufacturing and
astronomy, obtaining encouraging results. },
url = {http://saturno.ing.puc.cl/media/papers_alvaro/Cansado-Soto-AAI-2007.pdf}
}
@Article{ cardoso2018,
title = "IntersectionExplorer, a Multi-Perspective Approach for
Exploring Recommendations",
journal = "International Journal of Human-Computer Studies",
year = "2018",
issn = "1071-5819",
doi = "10.1016/j.ijhcs.2018.04.008",
author = "Bruno Cardoso and Gayane Sedrakyan and Francisco
Gutiérrez and Denis Parra and Peter Brusilovsky and
Katrien Verbert",
keywords = "interactive visualization, exploration of recommendations,
recommender systems, set visualization, scalability, user
study",
url = "http://dparra.sitios.ing.uc.cl/pdfs/preprint-iexplorer-2018.pdf"
}
@Article{ caro:etal:2012,
author = {L. Caro, J. Correa, P. Espinace, D. Maturana, R. Mitnik,
S. Montabone, S. Pszszfolkowski, D. Langdon, A. Araneda, D.
Mery, M. Torres, A. Soto},
title = {Indoor Mobile Robotics at Grima, PUC},
journal = {Journal of Intelligent and Robotic Systems},
volume = {66},
pages = {151-165},
number = {1-2},
year = {2012},
abstract = {This paper describes the main activities and achievements
of our research group on Ma- chine Intelligence and
Robotics (Grima) at the Computer Science Department,
Pontificia Uni- versidad Catolica de Chile (PUC). Since
2002, we have been developing an active research in the
area of indoor autonomous social robots. Our main focus has
been the cognitive side of Robotics, where we have
developed algorithms for autonomous navigation using
wheeled robots, scene recognition using vision and 3D range
sen- sors, and social behaviors using Markov Deci- sion
Processes, among others. As a distinguish- ing feature, in
our research we have followed a probabilistic approach,
deeply rooted in ma- chine learning and Bayesian
statistical techniques. Among our main achievements are an
increasing list of publications in main Robotics conference
and journals, and the consolidation of a research group
with more than 25 people among full- time professors,
visiting researchers, and graduate students. },
url = {http://saturno.ing.puc.cl/media/papers_alvaro/Latam-2012.pdf}
}
@InProceedings{ carvallo2019,
author = {Carvallo, Andres and Parra, Denis},
title = {Comparing Word Embeddings for Document Screening based on
Active Learning},
year = {2019},
booktitle = {Proceedings of the 4th Joint Workshop on
Bibliometric-enhanced Information Retrieval and Natural
Language Processing for Digital Libraries (BIRNDL 2019)},
location = {Paris, France},
url = {http://ceur-ws.org/Vol-2414/paper10.pdf}
}
@Article{ carvallo2020,
doi = {10.1007/s11192-020-03648-6},
url = {https://doi.org/10.1007/s11192-020-03648-6},
year = {2020},
month = sep,
publisher = {Springer Science and Business Media {LLC}},
volume = {125},
number = {3},
pages = {3047--3084},
author = {Andres Carvallo and Denis Parra and Hans Lobel and Alvaro
Soto},
title = {Automatic document screening of medical literature using
word and text embeddings in an active learning setting},
journal = {Scientometrics}
}
###Article{ carvallo2020,
doi = {10.1007/s11192-020-03648-6},
url = {https://doi.org/10.1007/s11192-020-03648-6},
year = {2020},
month = sep,
publisher = {Springer Science and Business Media {LLC}},
volume = {125},
number = {3},
pages = {3047--3084},
author = {Andres Carvallo and Denis Parra and Hans Lobel and Alvaro
Soto},
title = {Automatic document screening of medical literature using
word and text embeddings in an active learning setting},
journal = {Scientometrics}
}
@Article{ cerda2020translating,
title = {Translating Natural Language Instructions for Behavioral
Robot Navigation with a Multi-Head Attention Mechanism},
author = {Cerda-Mardini, Patricio and Araujo, Vladimir and Soto,
Alvaro},
journal = {arXiv preprint arXiv:2006.00697},
year = {2020}
}
@InProceedings{ cheuque:2019:rso:3308560.3316457,
author = {Cheuque, Germ\'{a}n and Guzm\'{a}n, Jos{\'e} and Parra,
Denis},
title = {Recommender Systems for Online Video Game Platforms: The
Case of STEAM},
booktitle = {Companion Proceedings of The 2019 World Wide Web
Conference},
series = {WWW '19},
year = {2019},
isbn = {978-1-4503-6675-5},
location = {San Francisco, USA},
pages = {763--771},
numpages = {9},
url = {http://doi.acm.org/10.1145/3308560.3316457},
doi = {10.1145/3308560.3316457},
acmid = {3316457},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Deep Factorization Machines, Deep Neural Networks,
Diversity, Factorization Machines, Novelty, Recommender
System}
}
@InProceedings{ cipriano:et:al:1997,
author = {A. Cipriano and M. Guarini and A. Soto and H. Briseño and
D. Mery,},
title = {Expert supervision of flotation cells using digital image
processing},
booktitle = {In Proc. of 20th Int. Mineral Processing Congress},
pages = {281-292},
year = {1997},
abstract = {},
url = {}
}
@Article{ cipriano:etal:1998,
author = {A. Cipriano and M. Guarini and R. Vidal and A. Soto and C.
Sepúlveda and D. Mery and H. Briseño},
title = {A Real Time Visual Sensor for Supervision of Flotations
Cells},
journal = {Minerals Engineering},
volume = {11},
number = {6},
pages = {489-499},
year = {1998},
abstract = {},
url = {}
}
@InProceedings{ cobo:2015:irm:2740908.2741719,
acmid = {2741719},
address = {Republic and Canton of Geneva, Switzerland},
author = {Cobo, Alfredo and Parra, Denis and Nav\'{o}n, Jaime},
booktitle = {Proceedings of the 24th International Conference on World
Wide Web},
date-added = {2015-12-30 15:21:21 +0000},
date-modified = {2015-12-30 15:24:32 +0000},
doi = {10.1145/2740908.2741719},
isbn = {978-1-4503-3473-0},
keywords = {class imbalance, machine learning, natural disaster,
twitter},
location = {Florence, Italy},
numpages = {6},
pages = {1189--1194},
publisher = {International World Wide Web Conferences Steering
Committee},
series = {WWW '15 Companion},
title = {Identifying Relevant Messages in a Twitter-based Citizen
Channel for Natural Disaster Situations},
year = {2015},
url = {http://web.ing.puc.cl/~dparra/pdfs/Cobo20151503.05784v1.pdf},
bdsk-url-1 = {http://dx.doi.org/10.1145/2740908.2741719}
}
@Article{ comcomparra2015,
author = {Denis Parra and Christoph Trattner and Diego G{\'o}mez and
Mat{\'\i}as Hurtado and Xidao Wen and Yu-Ru Lin},
doi = {10.1016/j.comcom.2015.07.001},
issn = "0140-3664",
journal = "Computer Communications ",
volume = "73, Part B",
pages = "301--314",
year = {2015},
note = "Online Social Networks ",
keywords = {Sentiment analysis},
title = {Twitter in academic events: A study of temporal usage,
communication, sentimental and topical patterns in 16
Computer Science conferences},
url = {http://web.ing.puc.cl/~dparra/pdfs/preprint-TwitterConferences__ComCom.pdf},
bdsk-url-1 = {http://web.ing.puc.cl/~dparra/pdfs/preprint-TwitterConferences__ComCom.pdf},
bdsk-url-2 = {http://dx.doi.org/10.1016/j.comcom.2015.07.001}
}
@Article{ correa:etal:2010,
author = {J. Correa and A. Soto},
title = {Active visual perception for mobile robot localization},
journal = {Journal of Intelligent and Robotic Systems},
volume = {58},
number = {3-4},
pages = {339-354},
year = {2010},
abstract = {Localization is a key issue for a mobile robot, in
particular in environments where a globally accurate
positioning system, such as GPS, is not available. In these
environments, accurate and efficient robot localization is
not a trivial task, as an increase in accuracy usually
leads to an impoverishment in efficiency and viceversa.
Active perception appears as an appealing way to improve
the localization process by increasing the richness of the
information acquired from the environment. In this paper,
we present an active perception strategy for a mobile robot
provided with a visual sensor mounted on a pan-tilt
mechanism. The visual sensor has a limited field of view,
so the goal of the active perception strategy is to use the
pan-tilt unit to direct the sensor to informative parts of
the environment. To achieve this goal, we use a topological
map of the environment and a Bayesian non-parametric
estimation of robot position based on a particle filter. We
slightly modify the regular implementation of this filter
by including an additional step that selects the best
perceptual action using Monte Carlo estimations. We
understand the best perceptual action as the one that
produces the greatest reduction in uncertainty about the
robot position. We also consider in our optimization
function a cost term that favors efficient perceptual
actions. Previous works have proposed active perception
strategies for robot localization, but mainly in the
context of range sensors, grid representations of the
environment, and parametric techniques, such as the
extended Kalman filter. Accordingly, the main contributions
of this work are: i) Development of a sound strategy for
active selection of perceptual actions in the context of a
visual sensor and a topological map; ii) Real time
operation using a modified version of the particle filter
and Monte Carlo based estimations; iii) Implementation and
testing of these ideas using simulations and a real case
scenario. Our results indicate that, in terms of accuracy
of robot localization, the proposed approach decreases mean
average error and standard deviation with respect to a
passive perception scheme. Furthermore, in terms of
efficiency, the active scheme is able to operate in real
time without adding a relevant overhead to the regular
robot operation. },
url = {http://saturno.ing.puc.cl/media/papers_alvaro/Intell-Robots-2010.pdf}
}
@InProceedings{ cortez:etal:2009,
author = {P. Cortez-Cargill and C. Undurraga-Rius and D. Mery and A.
Soto},
title = {Performance Evaluation of the Covariance Descriptor for
Target Detection},
booktitle = {Proc. of XXVIII Int. Conf. of the Chilean Computer Science
Society/IEEE CS Press},
year = {2009},
abstract = {In computer vision, there has been a strong advance in
creating new image descriptors. A descriptor that has
recently appeared is the Covariance Descriptor, but there
have not been any studies about the different methodologies
for its construction. To address this problem we have
conducted an analysis on the contribution of diverse
features of an image to the descriptor and therefore their
contribution to the detection of varied targets, in our
case: faces and pedestrians. That is why we have defined a
methodology to determinate the performance of the
covariance matrix created from different characteristics.
Now we are able to determinate the best set of features for
face and people detection, for each problem. We have also
achieved to establish that not any kind of combination of
features can be used because it might not exist a
correlation between them. Finally, when an analysis is
performed with the best set of features, for the face
detection problem we reach a performance of 99%, meanwhile
for the pedestrian detection problem we reach a performance
of 85%. With this we hope we have built a more solid base
when choosing features for this descriptor, allowing to
move forward to other topics such as object recognition or
tracking. },
url = {http://saturno.ing.puc.cl/media/papers_alvaro/Final-Proceedings-Cortez_Undurraga_Mery_Soto_SCCC2009.pdf}
}
@Proceedings{ dblp:conf/aaai/2006,
title = {Proceedings, The Twenty-First National Conference on
Artificial Intelligence and the Eighteenth Innovative
Applications of Artificial Intelligence Conference, July
16-20, 2006, Boston, Massachusetts, {USA}},
publisher = {{AAAI} Press},
year = {2006},
timestamp = {Thu, 13 Jul 2006 12:28:06 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/2006},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aaai/2008,
editor = {Dieter Fox and Carla P. Gomes},
title = {Proceedings of the Twenty-Third {AAAI} Conference on
Artificial Intelligence, {AAAI} 2008, Chicago, Illinois,
USA, July 13-17, 2008},
publisher = {{AAAI} Press},
year = {2008},
isbn = {978-1-57735-368-3},
timestamp = {Fri, 15 Aug 2008 11:13:22 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/2008},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aaai/2011,
editor = {Wolfram Burgard and Dan Roth},
title = {Proceedings of the Twenty-Fifth {AAAI} Conference on
Artificial Intelligence, {AAAI} 2011, San Francisco,
California, USA, August 7-11, 2011},
publisher = {{AAAI} Press},
year = {2011},
timestamp = {Tue, 09 Aug 2011 07:56:46 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/2011},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aaai/2013,
editor = {Marie desJardins and Michael L. Littman},
title = {Proceedings of the Twenty-Seventh {AAAI} Conference on
Artificial Intelligence, July 14-18, 2013, Bellevue,
Washington, {USA}},
publisher = {{AAAI} Press},
year = {2013},
url = {http://www.aaai.org/Library/AAAI/aaai13contents.php},
isbn = {978-1-57735-615-8},
timestamp = {Tue, 17 Dec 2013 19:26:12 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaai/2013},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aaai/2015,
editor = {Blai Bonet and Sven Koenig},
title = {Proceedings of the Twenty-Ninth {AAAI} Conference on
Artificial Intelligence, January 25-30, 2015, Austin,
Texas, {USA}},
publisher = {{AAAI} Press},
year = {2015},
url = {http://www.aaai.org/Library/AAAI/aaai15contents.php},
isbn = {978-1-57735-698-1},
timestamp = {Sun, 12 Apr 2015 12:16:43 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/2015},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aaai/2017,
editor = {Satinder P. Singh and Shaul Markovitch},
title = {Proceedings of the Thirty-First {AAAI} Conference on
Artificial Intelligence, February 4-9, 2017, San Francisco,
California, {USA}},
publisher = {{AAAI} Press},
year = {2017},
url = {http://www.aaai.org/Library/AAAI/aaai17contents.php},
timestamp = {Mon, 06 Mar 2017 08:17:31 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaai/2017},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/baierfbm08,
author = {Jorge A. Baier and Christian Fritz and Meghyn Bienvenu and
Sheila A. McIlraith},
title = {Beyond Classical Planning: Procedural Control Knowledge
and Preferences in State-of-the-Art Planners},
booktitle = {Proceedings of the Twenty-Third {AAAI} Conference on
Artificial Intelligence, {AAAI} 2008, Chicago, Illinois,
USA, July 13-17, 2008},
pages = {1509--1512},
year = {2008},
crossref = {DBLP:conf/aaai/2008},
url = {http://www.aaai.org/Library/AAAI/2008/aaai08-251.php},
timestamp = {Tue, 10 Jun 2014 01:00:00 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/BaierFBM08},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/baierm06,
author = {Jorge A. Baier and Sheila A. McIlraith},
title = {Planning with First-Order Temporally Extended Goals using
Heuristic Search},
booktitle = {Proceedings, The Twenty-First National Conference on
Artificial Intelligence and the Eighteenth Innovative
Applications of Artificial Intelligence Conference, July
16-20, 2006, Boston, Massachusetts, {USA}},
pages = {788--795},
year = {2006},
crossref = {DBLP:conf/aaai/2006},
url = {http://www.aaai.org/Library/AAAI/2006/aaai06-125.php},
timestamp = {Mon, 19 Mar 2012 00:00:00 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaai/BaierM06},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/camachotmbm17,
author = {Alberto Camacho and Eleni Triantafillou and Christian J.
Muise and Jorge A. Baier and Sheila A. McIlraith},
title = {Non-Deterministic Planning with Temporally Extended Goals:
{LTL} over Finite and Infinite Traces},
booktitle = {Proceedings of the Thirty-First {AAAI} Conference on
Artificial Intelligence, February 4-9, 2017, San Francisco,
California, {USA.}},
pages = {3716--3724},
year = {2017},
crossref = {DBLP:conf/aaai/2017},
url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/15026},
timestamp = {Mon, 06 Mar 2017 08:17:31 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaai/CamachoTMBM17},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/davis-mendelowbm13,
author = {Sammy Davis{-}Mendelow and Jorge A. Baier and Sheila A.
McIlraith},
title = {Assumption-Based Planning: Generating Plans and
Explanations under Incomplete Knowledge},
booktitle = {Proceedings of the Twenty-Seventh {AAAI} Conference on
Artificial Intelligence, July 14-18, 2013, Bellevue,
Washington, {USA.}},
year = {2013},
crossref = {DBLP:conf/aaai/2013},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI13/paper/view/6466},
timestamp = {Tue, 17 Dec 2013 19:26:12 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaai/Davis-MendelowBM13},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/hernandezab15,
author = {Carlos Hern{\'{a}}ndez and Roberto As{\'{\i}}n and Jorge
A. Baier},
title = {Reusing Previously Found A* Paths for Fast Goal-Directed
Navigation in Dynamic Terrain},
booktitle = {Proceedings of the Twenty-Ninth {AAAI} Conference on
Artificial Intelligence, January 25-30, 2015, Austin,
Texas, {USA.}},
pages = {1158--1164},
year = {2015},
crossref = {DBLP:conf/aaai/2015},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/10053},
timestamp = {Sun, 12 Apr 2015 12:16:43 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/HernandezAB15},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/riverahb17,
author = {Nicolas Rivera and Carlos Hern{\'{a}}ndez and Jorge A.
Baier},
title = {Grid Pathfinding on the 2\emph{k} Neighborhoods},
booktitle = {Proceedings of the Thirty-First {AAAI} Conference on
Artificial Intelligence, February 4-9, 2017, San Francisco,
California, {USA.}},
pages = {891--897},
year = {2017},
crossref = {DBLP:conf/aaai/2017},
url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/15014},
timestamp = {Mon, 06 Mar 2017 08:17:31 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaai/RiveraHB17},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaai/sohrabibm11,
author = {Shirin Sohrabi and Jorge A. Baier and Sheila A.
McIlraith},
title = {Preferred Explanations: Theory and Generation via
Planning},
booktitle = {Proceedings of the Twenty-Fifth {AAAI} Conference on
Artificial Intelligence, {AAAI} 2011, San Francisco,
California, USA, August 7-11, 2011},
year = {2011},
crossref = {DBLP:conf/aaai/2011},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/view/3568},
timestamp = {Tue, 09 Aug 2011 07:56:46 +0200},
biburl = {https://dblp.org/rec/bib/conf/aaai/SohrabiBM11},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aaaiss/2007-5,
title = {Logical Formalizations of Commonsense Reasoning, Papers
from the 2007 {AAAI} Spring Symposium, Technical Report
SS-07-05, Stanford, California, USA, March 26-28, 2007},
publisher = {{AAAI}},
year = {2007},
url = {http://www.aaai.org/Library/Symposia/Spring/ss07-05.php},
timestamp = {Fri, 17 Feb 2012 14:14:44 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaaiss/2007-5},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aaaiss/baierm07,
author = {Jorge A. Baier and Sheila A. McIlraith},
title = {On Domain-Independent Heuristics for Planning with
Qualitative Preferences},
booktitle = {Logical Formalizations of Commonsense Reasoning, Papers
from the 2007 {AAAI} Spring Symposium, Technical Report
SS-07-05, Stanford, California, USA, March 26-28, 2007},
pages = {7--12},
year = {2007},
crossref = {DBLP:conf/aaaiss/2007-5},
url = {http://www.aaai.org/Library/Symposia/Spring/2007/ss07-05-003.php},
timestamp = {Fri, 17 Feb 2012 14:14:44 +0100},
biburl = {https://dblp.org/rec/bib/conf/aaaiss/BaierM07},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aamas/hernandezbuk12,
author = {Carlos Hern{\'{a}}ndez and Jorge A. Baier and Tansel Uras
and Sven Koenig},
title = {Time-bounded adaptive {A}},
booktitle = {International Conference on Autonomous Agents and
Multiagent Systems, {AAMAS} 2012, Valencia, Spain, June
4-8, 2012 {(3} Volumes)},
pages = {997--1006},
year = {2012},
crossref = {DBLP:conf/atal/2012},
url = {http://dl.acm.org/citation.cfm?id=2343839},
timestamp = {Thu, 19 Mar 2015 00:00:00 +0100},
biburl = {https://dblp.org/rec/bib/conf/aamas/HernandezBUK12},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/ai/2018,
editor = {Ebrahim Bagheri and Jackie Chi Kit Cheung},
title = {Advances in Artificial Intelligence - 31st Canadian
Conference on Artificial Intelligence, Canadian {AI} 2018,
Toronto, ON, Canada, May 8-11, 2018, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {10832},
publisher = {Springer},
year = {2018},
url = {https://doi.org/10.1007/978-3-319-89656-4},
doi = {10.1007/978-3-319-89656-4},
isbn = {978-3-319-89655-7},
timestamp = {Mon, 23 Apr 2018 18:08:42 +0200},
biburl = {https://dblp.org/rec/bib/conf/ai/2018},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/ai/camachobmm18,
author = {Alberto Camacho and Jorge A. Baier and Christian J. Muise
and Sheila A. McIlraith},
title = {Synthesizing Controllers: On the Correspondence Between
{LTL} Synthesis and Non-deterministic Planning},
booktitle = {Advances in Artificial Intelligence - 31st Canadian
Conference on Artificial Intelligence, Canadian {AI} 2018,
Toronto, ON, Canada, May 8-11, 2018, Proceedings},
pages = {45--59},
year = {2018},
crossref = {DBLP:conf/ai/2018},
url = {https://doi.org/10.1007/978-3-319-89656-4\_4},
doi = {10.1007/978-3-319-89656-4\_4},
timestamp = {Mon, 23 Apr 2018 18:08:42 +0200},
biburl = {https://dblp.org/rec/bib/conf/ai/CamachoBMM18},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aiide/2011,
editor = {Vadim Bulitko and Mark O. Riedl},
title = {Proceedings of the Seventh {AAAI} Conference on Artificial
Intelligence and Interactive Digital Entertainment, {AIIDE}
2011, October 10-14, 2011, Stanford, California, {USA}},
publisher = {The {AAAI} Press},
year = {2011},
url = {http://www.aaai.org/Library/AIIDE/aiide11contents.php},
timestamp = {Mon, 13 Feb 2012 19:36:33 +0100},
biburl = {https://dblp.org/rec/bib/conf/aiide/2011},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@InProceedings{ dblp:conf/aiide/hernandezb11,
author = {Carlos Hern{\'{a}}ndez and Jorge A. Baier},
title = {Real-Time Adaptive A* with Depression Avoidance},
booktitle = {Proceedings of the Seventh {AAAI} Conference on Artificial
Intelligence and Interactive Digital Entertainment, {AIIDE}
2011, October 10-14, 2011, Stanford, California, {USA}},
year = {2011},
crossref = {DBLP:conf/aiide/2011},
url = {http://www.aaai.org/ocs/index.php/AIIDE/AIIDE11/paper/view/4082},
timestamp = {Mon, 13 Feb 2012 19:36:33 +0100},
biburl = {https://dblp.org/rec/bib/conf/aiide/HernandezB11},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aips/2006,
editor = {Derek Long and Stephen F. Smith and Daniel Borrajo and Lee
McCluskey},
title = {Proceedings of the Sixteenth International Conference on
Automated Planning and Scheduling, {ICAPS} 2006, Cumbria,
UK, June 6-10, 2006},
publisher = {{AAAI}},
year = {2006},
isbn = {978-1-57735-270-9},
timestamp = {Fri, 23 Nov 2007 13:41:37 +0100},
biburl = {https://dblp.org/rec/bib/conf/aips/2006},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aips/2007,
editor = {Mark S. Boddy and Maria Fox and Sylvie Thi{\'{e}}baux},
title = {Proceedings of the Seventeenth International Conference on
Automated Planning and Scheduling, {ICAPS} 2007,
Providence, Rhode Island, USA, September 22-26, 2007},
publisher = {{AAAI}},
year = {2007},
isbn = {978-1-57735-344-7},
timestamp = {Fri, 15 Aug 2008 12:09:00 +0200},
biburl = {https://dblp.org/rec/bib/conf/aips/2007},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aips/2009,
editor = {Alfonso Gerevini and Adele E. Howe and Amedeo Cesta and
Ioannis Refanidis},
title = {Proceedings of the 19th International Conference on
Automated Planning and Scheduling, {ICAPS} 2009,
Thessaloniki, Greece, September 19-23, 2009},
publisher = {{AAAI}},
year = {2009},
isbn = {978-1-57735-406-2},
timestamp = {Wed, 25 Nov 2009 09:51:15 +0100},
biburl = {https://dblp.org/rec/bib/conf/aips/2009},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aips/2011,
editor = {Fahiem Bacchus and Carmel Domshlak and Stefan Edelkamp and
Malte Helmert},
title = {Proceedings of the 21st International Conference on
Automated Planning and Scheduling, {ICAPS} 2011, Freiburg,
Germany June 11-16, 2011},
publisher = {{AAAI}},
year = {2011},
timestamp = {Tue, 28 Jun 2011 14:20:04 +0200},
biburl = {https://dblp.org/rec/bib/conf/aips/2011},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aips/2013,
editor = {Daniel Borrajo and Subbarao Kambhampati and Angelo Oddi
and Simone Fratini},
title = {Proceedings of the Twenty-Third International Conference
on Automated Planning and Scheduling, {ICAPS} 2013, Rome,
Italy, June 10-14, 2013},
publisher = {{AAAI}},
year = {2013},
url = {http://www.aaai.org/Library/ICAPS/icaps13contents.php},
isbn = {978-1-57735-609-7},
timestamp = {Wed, 29 Mar 2017 16:45:27 +0200},
biburl = {https://dblp.org/rec/bib/conf/aips/2013},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@Proceedings{ dblp:conf/aips/2014,
editor = {Steve A. Chien and Minh Binh Do and Alan Fern and Wheeler
Ruml},