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A visual-analytic toolkit for dynamic interaction graphs

Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta
2008 Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08  
Two case studies based on bibliometric and Wikipedia data are presented to demonstrate the utility of the toolkit for visual knowledge discovery.  ...  The tool we have developed incorporates common visualization paradigms such as zooming, coarsening and filtering while naturally integrating information extracted by a previously described event-driven  ...  We would like to thank Klaus Berberich and Evgeniy Gabrilovich for providing us with the Wikipedia dataset and the category hierarchy respectively.  ... 
doi:10.1145/1401890.1402011 dblp:conf/kdd/YangAPM08 fatcat:mdyjvmrftbgunf4mz22qacxdja

Discovering more precise process models from event logs by filtering out chaotic activities

Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
2018 Journal of Intelligent Information Systems  
We show that the presence of such chaotic activities in an event log heavily impacts the quality of the process models that can be discovered with process discovery techniques.  ...  The current modus operandi for filtering activities from event logs is to simply filter out infrequent activities.  ...  There are several ways to quantify the quality of a process model for an event log.  ... 
doi:10.1007/s10844-018-0507-6 fatcat:rykhka35rbfc3aisc3fi5qmejy

Sockeye: A Toolkit for Neural Machine Translation [article]

Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post
2018 arXiv   pre-print
To facilitate further comparison, we release all system outputs and training scripts used in our experiments. The Sockeye toolkit is free software released under the Apache 2.0 license.  ...  Sockeye also supports a wide range of optimizers, normalization and regularization techniques, and inference improvements from current NMT literature.  ...  Weight tying Sharing weights of the input embedding layer and the top-most output layer has been shown to improve language modeling quality [Press and Wolf, 2016] and to reduce memory consumption for  ... 
arXiv:1712.05690v2 fatcat:7ftlijtprbfzvlu4tpnt2iqkfm

Toolkit Support for Integrating Physical and Digital Interactions

Scott Klemmer, James Landay
2009 Human-Computer Interaction  
It separates each widget into three pieces: A controller (input handler) sends input events to a model (application logic), and the model sends application events to a view.  ...  The MVC separation enables software input and display style to be altered independently of its underlying functionality (Krasner & Pope, 1988) . 318 KLEMMER AND LANDAY  ...  Clients would report events to a server hosting the model, and then the server notified all of the other clients. In the most sophisticated system, the interaction clients were heterogeneous.  ... 
doi:10.1080/07370020902990428 fatcat:6tfjqtuxdfgudd6ermcp5nls5u

Review quality aware collaborative filtering

Sindhu Raghavan, Suriya Gunasekar, Joydeep Ghosh
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
, thereby improving the accuracy of the predictions.  ...  In this paper, the possibility of performing collaborative filtering while attaching weights or quality scores to the ratings is explored.  ...  Acknowledgements We would like to thank Raymond J. Mooney, Sreangsu Acharyya, and Gautam Muralidhar for their valuable feedback on the paper.  ... 
doi:10.1145/2365952.2365978 dblp:conf/recsys/RaghavanGG12 fatcat:4iqs4g33obf5zg7fbgvrmu5nrq

Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit [article]

Chengyuan Xu, Curtis McCully, Boning Dong, D. Andrew Howell, Pradeep Sen
2021 arXiv   pre-print
by the community of astronomers.  ...  We build a large, diverse ground-based CR dataset leveraging thousands of images from the Las Cumbres Observatory global telescope network to produce a generic CR-detection model which achieves a 99.91%  ...  We thank Simon Conseil and the DRAGONS software (Labrie et al. 2019 ) support team for their help in producing the Gemini GMOS evaluation dataset.  ... 
arXiv:2106.14922v1 fatcat:aym3x3lhobfzld5vd5flzc6354

User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit

Francisco Bernardo, Mick Grierson, Rebecca Fiebrink
2018 Journal of Science and Technology of the Arts  
We also discuss how these actions provided us with a better understanding of users, helped us to refine the scope of the design space, and informed improvements to the toolkit.  ...  This work focuses on the application of user-centred design with creative end-user developers for informing the design of an interactive machine learning toolkit.  ...  providing more ways to examine the ML models, for example through data visualisation, to aid understanding of model decision boundaries or model behaviour in higher dimensional spaces. • improving the  ... 
doi:10.7559/citarj.v10i2.509 fatcat:xiwliujfcvb4dnvl37lfzqvfx4

QwikMD — Integrative Molecular Dynamics Toolkit for Novices and Experts

João V. Ribeiro, Rafael C. Bernardi, Till Rudack, John E. Stone, James C. Phillips, Peter L. Freddolino, Klaus Schulten
2016 Scientific Reports  
QwikMD meets also the needs of experts in the field, increasing the efficiency and quality of their work by carrying out tedious or repetitive tasks while enabling easy control of every step.  ...  The trajectories of molecules are determined mostly by numerically solving Newton's equations of motion for a system of interacting particles, the molecular atoms.  ...  Groups can use the QwikMD log workflows to control, discuss, and improve scientific progress.  ... 
doi:10.1038/srep26536 pmid:27216779 pmcid:PMC4877583 fatcat:464rg7kcyzbgpcctssflgjerza

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Sophia Clara Mädler, Alice Julien-Laferriere, Luis Wyss, Miroslav Phan, Anthony Sonrel, Albert S W Kang, Eric Ulrich, Roland Schmucki, Jitao David Zhang, Martin Ebeling, Laura Badi, Tony Kam-Thong (+2 others)
2021 NAR Genomics and Bioinformatics  
Here, we present the toolkit Besca, which streamlines scRNA-seq analyses and their use to deconvolute bulk RNA-seq data according to current best practices.  ...  Beyond a standard workflow covering quality control, filtering, and clustering, two complementary Besca modules, utilizing hierarchical cell signatures and supervised machine learning, automate cell annotation  ...  for their helpful comments to improve the manuscript and the toolkit.  ... 
doi:10.1093/nargab/lqab102 pmid:34761219 pmcid:PMC8573822 fatcat:tyrasveb6nfmlieydc7csi76bq

Py3plex toolkit for visualization and analysis of multilayer networks

Blaž Škrlj, Jan Kralj, Nada Lavrač
2019 Applied Network Science  
With increasing amounts of data that lead to large multilayer networks consisting of different node and edge types, that can also be subject to temporal change, there is an increasing need for versatile  ...  The paper also focuses on how node embeddings can be used to speed up contemporary (multilayer) layout computation. The library's functionality is showcased on both real and synthetic networks.  ...  Acknowledgements We would like to thank to Lucija Luetič for proofreading the manuscript, which notably improved the work's quality.  ... 
doi:10.1007/s41109-019-0203-7 fatcat:o63vw34wsffxxou62qx4ev76sa

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

Jacob M Graving, Daniel Chae, Hemal Naik, Liang Li, Benjamin Koger, Blair R Costelloe, Iain D Couzin
2019 eLife  
State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to automatically estimate locations of an animal's body parts directly from images or videos  ...  We demonstrate the versatility of our methods with multiple challenging animal pose estimation tasks in laboratory and field settings-including groups of interacting individuals.  ...  We ran experiments 397 to optimize our approach and discovered that some straightforward modifications can greatly improve speed398 and accuracy.  ... 
doi:10.7554/elife.47994 pmid:31570119 pmcid:PMC6897514 fatcat:6oevtoeyt5ej5e4ns7nmraeuw4

Entity-Based Filtering and Topic Detection for Online Reputation Monitoring in Twitter

Damiano Spina
creation of suitable test collections (WePS-3, RepLab 2012 and RepLab 2013 evaluation campaigns) and we have studied in depth two of the identified challenges:'filtering' (Is a tweet related to a given  ...  --modeled as a binary classification task--and 'topic detection' (What is being said about an entity in a given tweet stream?), that consists of clustering tweets according to topics.  ...  to discover filter keywords automatically.  ... 
doi:10.6084/m9.figshare.1115122.v4 fatcat:bnwfsgm2prai3k6zrvnekdqjm4

Process Mining Approach Towards Optimization of ERP Business Processes: A Case Study of Healthcare

Ayesha Rashid, Naveed Anwer Butt, Nauman Riaz Choudhary, Reema Choudhary, Huma Jabeen
2019 University of Sindh Journal of Information and Communication Technology  
Enterprise Resource Planning (ERP) systems have a particular way of recording activities in the form of event logs.  ...  Business Intelligence aims to improve decision making processes and efficiency of the systems for that, organizations having ERP systems apply process mining techniques to extract information from event  ...  The purpose of this research is to improve and check the conformance of activity-oriented process models from event logs.  ... 
doaj:b2c91460a71a43cfbadda3e43c11283a fatcat:fi2ocvply5co7d346ngk4m6wy4

The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke

Sergi Bermúdez i Badia, M. S. Cameirão
2012 Stroke Research and Treatment  
Subsequently, a modeling approach is presented to understand how the measured movement kinematics relate to training parameters, and how these can be modified to adapt the training to meet the needs of  ...  In this study we evaluate the feasibility of NTT as a tool capable of automatically assessing and adapting to its user.  ...  Complete log files of all game events, parameters, and all motor actions performed by participants were collected.  ... 
doi:10.1155/2012/802157 pmid:22619741 pmcid:PMC3350995 fatcat:dtap2tv6ebgg7dyeiycvly6ole

A formal logic approach to firewall packet filtering analysis and generation

John Govaerts, Arosha Bandara, Kevin Curran
2008 Artificial Intelligence Review  
As a consequence, logic may be used to prove the properties of the models it represents and is a sensible way to go in order to create those models on computers to automate such activities.  ...  The prototype produces actual firewall rules as well, generated from the model and expressed in the syntax of IPChains and Cisco's PIX..  ...  Event Calculus can deal with conflicts even if the text is targeted at the Network Dimensioning part of Quality of Service techniques.  ... 
doi:10.1007/s10462-009-9147-0 fatcat:ypwfs5dqmzc6tewhyyyajuztdy
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