{"id":1753,"date":"2012-07-21T00:11:09","date_gmt":"2012-07-20T23:11:09","guid":{"rendered":"http:\/\/web.ist.utl.pt\/rmch\/?page_id=1753"},"modified":"2024-12-19T11:22:46","modified_gmt":"2024-12-19T11:22:46","slug":"software","status":"publish","type":"page","link":"http:\/\/web.ist.utl.pt\/rmch\/research\/software","title":{"rendered":"software"},"content":{"rendered":"<h3><span style=\"color: #585858;\">Software<\/span><\/h3>\n<p>&nbsp;<\/p>\n<p>The software packages are made available solely for research and educational purposes.<br \/>\nIf you wish to use them for commercial purposes, please contact the authors.<\/p>\n<ul>\n<li type=\"square\"><a href=\"https:\/\/github.com\/eeg-to-fmri\/eeg-to-fmri\"><strong>eeg2bold<\/strong><\/a>: deep neural networks for EEG to fMRI synthesis (see MLHC&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/quizzes-tutor.tecnico.ulisboa.pt\/\"><strong>fraudQT<\/strong><\/a>: fraud detection using response concordance and answer time (see TCSS&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/joaopalet\/multiple-input-context-aware-forecaster\"><strong>micf<\/strong><\/a>: multi-input prospect-aware NN forecasters (see DAMI&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/MiguelGarcaoSilva\/cml_synthetic_demo\"><strong>MSpa<\/strong><\/a>: descriptors of spatiotemporal dynamics from mobile data (see EPB&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/dmgoncal\/omics2flux\"><strong>omics2flux<\/strong><\/a>: metabolic flux prediction from transcriptomics and proteomics data (see CSBJ&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/leonorsilva\/UNIANO\"><strong>uniano<\/strong><\/a>: anomaly consensus in time series sensitive to cross-correlated profiles (see SDM&#8217;21 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/JupitersMight\/DISA\"><strong>DISA<\/strong><\/a>: discriminative pattern assessment in the presence of numerical outcomes (see Plos ONE&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/JupitersMight\/TriSig \"><strong>TriSig<\/strong><\/a>: tests to assess the statistical significance of triclustering patterns in tensor (see PR&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3615335.3623022\"><strong>tex2net<\/strong><\/a>: storytelling (graphical text summaries) using networks (see SIGDOC&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/thomastiamleept\/metro\"><strong>whereAMI<\/strong><\/a>: route choice estimation in rail transit systems using smart card data (see ETRR&#8217;22 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/thomastiamleept\/dapi\/\"><strong>DAPI<\/strong><\/a>: tool for spatial-aware inefficiency analysis in emergency response data (see ISPRS&#8217;22 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/Andrempp\/time-lagged-correlation-in-bivalves\"><strong>tlc<\/strong><\/a>: time-lagged correlation analysis of shellfish toxicity (see Toxins&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/danielmg97\/bic_parallel_coords\"><strong>bpc<\/strong><\/a>: context-situated visualization of biclusters against global regularities (see AVI&#8217;23 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/andreppatricio\/Pattern-Centric-Transformation\"><strong>pct<\/strong><\/a>: pattern-centric omics transforms grounded on multi-wise gene associations for downstream prediction (see Biotech. and Bioeng.&#8217;24 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/git.lasige.di.fc.ul.pt\/mmsilva\/usbcf-paper\"><strong>usbcf<\/strong><\/a>: user-specific bicluster-based collaborative filtering (see arxiv 2211.08366)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/CronoPT\/bus_network_optimization\"><strong>busOpt<\/strong><\/a>: optimization of bus networks-schedules from smart cards (see arXiv 2201.11616)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/jplobo1313\/G-Tric\"><strong>G-Tric<\/strong><\/a>: three-way synthetic dataset generation with triclustering solutions (see BMC&#8217;21)<\/li>\n<li type=\"square\"><a href=\"https:\/\/web.ist.utl.pt\/rmch\/bicpams\/\"><strong>bicpams<\/strong><\/a>: exploratory and unsupervised analysis of tabular and network data, integrating state-of-the-art contributions on pattern-based biclustering (see BMC&#8217;18 publication)<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/web.ist.utl.pt\/rmch\/ilu\/\">iluapp<\/a><\/strong>: recommendation system for the context-aware analysis of urban data (diverse publications on intelligent mobility, 2019-22)<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/groups.tecnico.ulisboa.pt\/%E2%88%BCdata2help.daemon\/wordpress\">data2help<\/a><\/strong>: platform the descriptive and predictive analysis of emergency occurrences in Portugal<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/github.com\/RicardoFLNSousa\/AutoMTS\">autoMTS<\/a><\/strong>: autonomous time series processing in sensor networks (see QShine&#8217;20 publication)<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/github.com\/francisconeves97\/emerging-patterns\">e2pat<\/a><\/strong>: emerging pattern discovery from heterogeneous spatiotemporal data (see MobiQuituous&#8217;20 publication)<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/github.com\/DCalhas\/siameseschizophreniaeeg\">schizoeeg<\/a><\/strong>: brain signal classification using pairwise learning for schizophrenia diagnosis (see AI in Medicine&#8217;20 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/github.com\/JupitersMight\/DI2\"><strong>di2<\/strong><\/a>: prior-free and multi-item discretization of biological data (see BMC&#8217;21 publication)<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/github.com\/susanachambel\/AnomalyDetectionInWaterDistributionNetworks\">wisdomapp<\/a><\/strong>: platform for multivariate time series analysis and anomaly detection in water distribution systems (see Wate&#8217;21)<\/li>\n<li type=\"square\"><strong><a href=\"https:\/\/github.com\/DCalhas\">rDenoiser<\/a><\/strong>: imputation in spatiotemporal data using recurrent denoiser<\/li>\n<li type=\"square\"><a href=\"http:\/\/ginsim.org\/\"><strong>avatar<\/strong><\/a>: algorithms integrated within GINsim to find probability estimates of attractor reachability in asynchronous logical models (see FPhys&#8217;18 publication)<\/li>\n<li type=\"square\"><a href=\"https:\/\/web.ist.utl.pt\/rmch\/software\/bsig\/\"><strong>bsig<\/strong><\/a>: method to assess the statistical significance of flexible biclustering solutions (see DAMI&#8217;17 publication)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: uOPPM &amp;body=-- please insert your institution and the purpose of the request --\"><strong>uOPPM <\/strong><\/a>: algorithm to find order-preserving pattern matches over indeterminate strings (see CPM&#8217;18 publication)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: flebic &amp;body=-- please insert your institution and the purpose of the request --\"><strong>flebic<\/strong><\/a>: associative classifiers using discriminative biclusters with flexible properties (under publication)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: bigen &amp;body=-- please insert your institution and the purpose of the request --\"><strong>bigen<\/strong><\/a>: generator of synthetic data to plant biclusters with parameterizable coherence (type and strength), structure (number, size and positioning) and quality (under publication)<\/li>\n<li type=\"square\"><a href=\"http:\/\/web.ist.utl.pt\/rmch\/software\/bip\"><strong>bip<\/strong><\/a>: flexible plaid models for an effective discovery of complex structures of biclusters with meaningful overlaps (see TCBB&#8217;15 publication)<\/li>\n<li type=\"square\"><a href=\"http:\/\/web.ist.utl.pt\/rmch\/software\/bicspam\"><strong>bicspam<\/strong><\/a>: pattern-based approaches for flexible, efficient and robust order-preserving biclustering based on sequential patterns (see BMC&#8217;14 publication)<\/li>\n<li type=\"square\"><a href=\"http:\/\/web.ist.utl.pt\/rmch\/software\/bicpam\"><strong>bicpam<\/strong><\/a>: pattern-based approach to discover biclusters with multiple patterns of expression, varying quality and alternative underlying structures (see AMB&#8217;14 publication)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: evoc &amp;body=-- please insert your institution and the purpose of the request --\"><strong>evoc<\/strong><\/a>: framework for multi-period classifiers sensitive to temporal patterns (see DAMI&#8217;14a and ICIS&#8217;12 publications)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: hi-spm &amp;body=-- please insert your institution and the purpose of the request --\"><strong>hi-spm<\/strong><\/a>: adapted multivariate hidden Markov models to perform sequential pattern discovery over transactional data (see DAMI&#8217;14b and ICIS&#8217;14 publications)<\/li>\n<li type=\"square\"><a href=\"http:\/\/web.ist.utl.pt\/~rmch\/software\/indexspan\/\"><strong>indexspan<\/strong><\/a> efficient discovery of sequential patterns in item-indexable sequences (see nfMCP&#8217;13 publication)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: fine-ally &amp;body=-- please insert your institution and the purpose of the request --\"><strong>fine-ally<\/strong><\/a>: software, collected data, MBTI tests and statistical results for the emotion-driven interactions (see PhyCS&#8217;14 and ACII&#8217;13 publications)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: pmsat &amp;body=-- please insert your institution and the purpose of the request --\"><strong>pmsat<\/strong><\/a>: codifications of the frequent itemset problem using propositional satisfiability with performance-enhancing criteria (see <a href=\"http:\/\/web.ist.utl.pt\/~rmch\/upload\/publications\/When%20and%20How%20to%20use%20SAT%20to%20Mine%20Frequent%20Itemsets.pdf\">this report<\/a>)<\/li>\n<li type=\"square\"><a href=\"mailto:rui.mch@gmail.com?subject=Request of software :: edapm &amp;body=-- Cplease insert your institution and the purpose of the request --\"><strong>edapm<\/strong><\/a>: miner of physiological signals using symbolic approximation and HMM-based pattern discovery (see AAMAS&#8217;12 publication)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Software &nbsp; The software packages are made available solely for research and educational purposes. If you wish to use them for commercial purposes, please contact the authors. eeg2bold: deep neural networks for EEG to fMRI synthesis (see MLHC&#8217;23 publication) fraudQT: fraud detection using response concordance and answer time (see TCSS&#8217;23 publication) micf: multi-input prospect-aware NN [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1427,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1753","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1753","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/comments?post=1753"}],"version-history":[{"count":33,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1753\/revisions"}],"predecessor-version":[{"id":2665,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1753\/revisions\/2665"}],"up":[{"embeddable":true,"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/pages\/1427"}],"wp:attachment":[{"href":"http:\/\/web.ist.utl.pt\/rmch\/wp-json\/wp\/v2\/media?parent=1753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}