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<ri:Resource created="2026-04-08T13:00:09Z" status="active" updated="2026-05-04T07:43:19Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>XMM-Newton supervised flare detection</title><shortName>J/A+A/708/A224</shortName><identifier>ivo://CDS.VizieR/J/A+A/708/A224</identifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Pasquato M.</name></creator><creator><name>Marelli M.</name></creator><creator><name>De Luca A.</name></creator><creator><name>Salvaterra R.</name></creator><creator><name>Carenini G.,Belfiore A.</name></creator><creator><name>Tiengo A.</name></creator><creator><name>Esposito P.</name></creator><date role="Updated">2026-05-04T07:43:19Z</date><date role="Created">2026-04-08T13:00:09Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>x-ray-sources</subject><subject>stellar-flares</subject><description>The EXTraS project, based on data collected with the XMM-Newton observatory, provided us with a vast amount of light curves for X-ray sources. For each light curve, EXTraS also provided us with a set of features (https://extras.inaf.it). We extract from the EXTraS database a tabular dataset of 31832 variable sources by 108 features. Of these, 13851 sources were manually labeled as stellar flares or non-flares based on direct visual inspection. We employed a supervised learning approach to produce a catalog of stellar flares based on our dataset, releasing it to the community. We leverage explainable AI tools and interpretable features to better understand our classifier. We train a gradient boosting classifier on 80% of the data for which labels are available. We compute permutation feature importance scores, visualize feature space using UMAP, and analyze some false positive and false negative data points with the help of Shapley additive explanations - an AI explainability technique used to measure the importance of each feature in determining the classifier's prediction for each instance. On the test set made up of the remainder 20% of our labeled data, we obtain an accuracy of 97.1%, with a precision of 82.4% and a recall of 73.3%. Our classifier outperforms a simple criterion based on fitting the light curve with a flare template and significantly surpasses a gradient-boosted classifier trained only on model-independent features. False positives appear related to flaring light curves that are not associated with a stellar counterpart, while false negatives often correspond to multiple flares or otherwise peculiar or noisy curves. We apply our trained classifier to currently unlabeled sources, releasing the largest catalog of X-ray stellar flares to date. We estimate that integrating our classifier into the astronomers' workflow will reduce the time spent visually inspecting light curves by approximately half compared to an approach based on flare template fitting, with implications for the classification of sources whose variability is less well established within EXTraS as well as for other catalogs and, possibly, forthcoming missions.</description><source format="bibcode">2026A&amp;A...708A.224P</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/708/A224</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship><relationship><relationshipType>related-to</relationshipType><relatedResource 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27242-27243 27245-27247 27262 27279 27298-27300 27304 27307-27308 27314 27324 27339 27342-27345 27348 27351 27365 27372 27374 27412 27423 27428 27440 27462 27464 27474 27477 27480-27481 27486 27491 27497 27504-27505 27519 27521 27536 27545 27562 27574 27580 27604 27607 27615 27617 27649 27652 27654 27658 27660-27661 27665 27668-27669 27676 27681 27709 27713-27715 27718-27721 27723 27728 27730-27731 27734 27736 27738 27740 27742 27751 27760-27761 27763 27769 27772-27773 27785 27797 27803 27834 27840 27849 27857 27859-27862 27867 27883 27905 27907 27913-27914 27918 27934 27941 27944-27945 27948 27950 27959 27961 27964-27965 27975 27982 28013 28015 28019 28022 28026 28029 28032-28033 28035 28045 28050 28054 28060 28062-28063 28075 28085-28087 28123 28126-28127 28141-28143 28145 28147-28149 28151 28154 28172-28174 28183-28184 28186 28188 28220-28221 28223 28225-28226 28234 28245 28247 28249 28251 28254 28257 28260 28262 28271 28275 28278 28281 28298 28334 28341 28344 28346 28351 28356-28357 28369 28371-28372 28374 28377 28384 28389 28393 28396-28397 28400 28402 28415 28426-28428 28430 28443 28448 28452 28466-28467 28471 28473 28477 28479 28490 28492 28495-28497 28512 28516-28517 28522-28523 28528-28529 28534-28535 28540-28541 28548 28553 28555 28561 28583 28593 28609 28621 28631-28632 28637 28647-28648 28654 28663 28672 28675 28678 28690 28699 28701 28703 28705 28711-28712 28719 28721-28723 28726 28728 28741-28742 28745-28747 28751 28762 28764 28770 28772 28778-28779 28787 28793 28798-28800 28802-28803 28808-28809 28812-28813 28821-28823 28837 28843-28844 28846 28848-28849 28852-28853 28857 28860 28862 28865-28866 28868-28870 28872 28874-28875 28877 28879-28880 28882 28884 28887 28889-28892 28894 28896 28899 28901-28902 28905 28911-28913 28918-28922 28924-28925 28927 28955 28969-28974 28999 29001 29004 29009 29032 29034 29070 29072 29081 29084 29088 29090-29091 29094 29097 29100-29101 29103-29104 29116 29118-29119 29162 29184-29185 29192-29193 29198 29208 29211 29214 29221 29223 29232 29234 29240 29253 29255-29257 29259-29260 29262 29264 29287 29300 29306-29307 29316-29317 29346 29384 29398 29404 29416 29460-29461 29463-29464 29466 29469 29471 29486 29504-29506 29509-29511 29513 29519 29522-29523 29526 29528-29530 29537 29558 29574 29598 29664-29665 29675 29691 29746 29774 29777 29793 29795 29818 29831 29837 29870 29885 29906 29961 30009 30021 30028-30029 30033 30035 30037 30044 30128-30129 30135 30141 30164 30175 30218-30219 30222 30239 30244-30245 30251 30254 30260 30262-30264 30268-30270 30286 30298-30299 30306 30312-30313 30315 30321 30328 30335 30337 30348 30350 30360 30363 30366 30372 30374 30380 30382-30383 30400 30417 30422-30423 30439 30466 30475 30485 30505-30507 30542-30543 30593 30595 30598 30601 30604 30607 30622 30657 30687 30692 30694 30698 30753 30818 30833 30946 30970-30971 30993 30995 31080 31116 31118 31158 31164 31185 31191 31194 31197 31205 31216 31244 31259 31313 31316 31354 31389 31391 31393 31396-31397 31399 31403 31406 31418-31419 31426 31430 31465 31468 31504 31509 31534-31537 31552 31599 31623 31628 31630 31652 31656 31662-31663 31667-31668 31685 31717 31748-31749 31751 31774 31804 31812 31817 31851 31880 31898 31932-31933 31954 31957 32039 32058-32059 32085 32089 32112-32113 32115 32160 32224 32298 32335 32362 32379 32385 32396 32447 32484 32500 32503 32511 32545 32587 32599 32602-32603 32624 32682 32693 32721 32739 32746 32765-32766 32798 32838 32848 32874 32891 32894 32908 32910 32930 32939 32955-32956 32959 32961 32994 33003-33004 33010 33016 33030 33034 33046-33047 33052-33054 33067 33073 33075 33085-33087 33092 33094-33095 33106-33107 33109-33110 33116 33118 33120-33121 33123 33128-33129 33132 33136 33138 33152-33153 33173 33176 33193 33209 33225 33228 33234-33235 33238 33241 33248 33252 33260 33265 33270 33273 33281 33285-33287 33289 33293-33295 33297-33299 33304-33306 33316-33317 33319 33321 33323 33325 33328 33330 33336 33378 33403 33409 33425 33428 33432-33433 33444-33445 33460 33474 33502-33503 33507 33549 33552 33556 33558 33564 33573 33578 33580 33586 33593 33608 33614 33618-33620 33625 33627-33628 33630 33634-33635 33644 33662 33668 33670 33685 33690 33692 33694 33709-33710 33712-33713 33716-33717 33760 33762 33783 33789 33795 33804 33808 33810 33813 33850 33856 33864 33866 33878-33879 33884 33891 33894 33912-33913 33917 33920-33921 33930 33937 33944-33945 33947-33948 33950 33954-33956 33958 33960 33962 33971-33972 33977 33980 33984-33986 33988 34023 34034-34035 34038 34051-34052 34054 34064-34065 34070-34071 34074 34083 34088-34089 34095 34098-34099 34104 34106 34138-34139 34157 34159-34160 34181 34191 34210 34238 34251 34258-34260 34264 34266 34270-34273 34294-34295 34297 34324-34325 34334 34363 34368 34379 34382 34390 34401 34403-34404 34412-34413 34423 34443 34463 34471 34480 34485 34496 34514 34520 34531 34540-34541 34570 34572 34580 34652-34653 34655 34672 34701 34737 34739 34760 34790 34805 34845 34847 34858 34861 34881 34884 34905 34910 34913 34915 34920 34930 34975 34978 34986 34994-34995 35001 35045 35047 35049 35051 35053 35055-35056 35058 35064 35066-35067 35071 35097 35099-35100 35107 35145 35147-35148 35150 35155 35161 35171 35174-35175 35177 35180 35199 35206 35212 35227 35230 35234 35240 35242-35243 35256 35266 35272 35307 35310 35327 35365 35382-35383 35385 35387 35393 35407 35417 35446-35447 35473 35476 35512 35514 35518 35536 35538 35542 35545 35549 35565 35576 35585 35609 35611 35623 35675 35691 35716 35720 35725 35727 35754 35756-35757 35759 35770 35801 35864 35895 35921-35922 35927-35928 35931 35949-35950 35952-35953 35969 35976 35985 35987 35994 36006-36007 36012 36015-36016 36019 36022-36023 36031 36061 36063 36066 36082 36098 36104 36106-36107 36128-36129 36132 36141 36144 36152 36158 36172-36173 36194 36222 36231-36232 36234 36237 36247 36290 36308 36392-36393 36417 36423 36434 36458 36486-36487 36499 36526 36534 36621 36626 36632 36662 36664 36678 36693 36697 36700 36712-36713 36733 36764 36767 36772 36774-36775 36780-36781 36784-36786 36792 36795 36798 36800 36802-36804 36829 36831 36844 36846 36861 36897 36948 36956-36958 36987 37003 37008-37009 37012-37013 37020 37022 37025 37041 37044 37071 37082 37087 37102 37128 37137 37161 37183 37186-37187 37192 37196 37216 37230-37231 37233-37234 37246-37247 37252 37257 37294 37303 37306 37309 37333 37335 37338 37342 37346 37351 37364-37365 37368 37370 37388 37390 37395 37404 37429 37435 37453 37473-37475 37505 37507 37510 37512 37529 37531 37545 37547 37559 37592-37593 37610-37611 37650 37662 37678 37714 37717 37788-37790 37817 37819 37848 37856 37863-37864 37866 37869-37871 37874-37875 37880-37882 37891 37895 37897 37900-37901 37904-37906 37910 37912 37915 37923-37926 37936-37937 37940 38016-38018 38020 38026 38028 38081 38090 38113 38123-38124 38129 38139 38145 38179 38210 38268 38314 38322 38328 38348 38359 38365 38380 38382 38390 38428 38436 38442 38452 38464-38465 38470 38479 38492 38502 38528 38551 38653 38693 38702 38704 38714 38788 38838 38844 38852-38853 38859 38868 38912 38926 38949 38965 38973 39004 39043 39047 39058 39062 39065 39067 39077 39079 39085-39087 39091 39097 39118 39132 39138 39140 39144 39181-39183 39186 39188 39192-39193 39196 39209 39213 39216 39233-39236 39238 39241 39246-39247 39253 39257 39266-39267 39272 39295 39297 39312 39314 39318 39322 39326-39327 39335 39346 39349 39354-39355 39366 39376 39389 39396-39397 39422 39428 39443 39456 39462 39477 39479 39499 39520 39522 39542 39545 39561 39563 39576 39608 39696-39697 39709 39714 39717 39773-39776 39778 39784-39785 39793 39802 39825 39847 39852 39858 39860 39862 39864 39877 39883 39886 39888 39905 39910 39916 39937 39991 39993 40013 40036 40113 40115 40124 40131 40141 40204 40221 40242 40250 40264 40271 40279 40291 40293 40326 40351 40402 40410 40432-40433 40446 40452 40461 40513 40520 40531 40537 40564 40566 40582-40583 40613 40615 40635 40642 40776-40777 40784 40786 40803 40809 40812 40818-40819 40823 40829 40834-40835 40890 40932 40941 40947 40956 40965 40967 40985 40988 41001-41003 41014 41027 41057 41059 41074 41081 41102 41121 41124 41134 41270-41271 41279 41295 41310-41311 41384 41386 41399 41417 41423 41434 41444 41461 41467 41472 41507 41510 41513 41524 41526 41530 41534 41570 41578 41583-41584 41586 41591-41592 41595 41597-41599 41608 41618 41630 41643 41645 41647 41654-41655 41658 41660 41664 41667 41670-41671 41674 41676 41678-41679 41682-41686 41688-41690 41697-41698 41701 41713 41719 41735 41739 41743 41746-41747 41754 41758 41767 41769-41771 41777-41778 41780 41792 41794 41802 41808-41809 41812 41814-41815 41822-41823 41833 41847 41860 41873 41876 41916 41943 41949 41964 41982 42018 42023 42027 42032 42080 42113 42120-42121 42125 42137 42157 42159 42168-42170 42172-42174 42179 42196 42206-42207 42210-42211 42213-42217 42220-42221 42224 42226 42228-42229 42255 42277 42288 42290 42314-42315 42333 42336 42347 42356 42362 42366 42370 42381-42384 42387 42389-42391 42396-42397 42400 42405 42408-42409 42416-42417 42419 42429 42433-42435 42438-42441 42443-42446 42448 42450-42451 42453-42455 42460-42461 42464 42468 42485 42488 42491 42493 42496 42500 42502 42510-42511 42514 42528 42530 42532-42533 42547 42599 42610-42611 42614 42630-42631 42633 42652 42664 42666 42672 42678 42684 42700 42704 42720-42721 42737 42743 42760 42799 42825 42841 42889 42910 42916 42925 42969-42970 42972 42977-42978 42981 42983 42989-42991 42994 43000 43012 43014-43015 43022 43024 43028 43035 43042 43060 43065 43078 43104-43105 43107 43139 43225 43227 43233 43236 43240 43242 43257 43259-43260 43262-43263 43294 43302 43308 43310 43313 43321 43337-43340 43342 43356-43358 43386 43391 43415 43417 43420 43435 43450-43451 43458 43476-43477 43506 43518 43528 43531 43544 43564 43566 43572 43574 43604 43606 43612 43621 43625-43627 43632 43634 43677 43712-43713 43722 43757 43785 43787 43803 43806 43819 43825 43828 43830-43831 43843 43848-43849 43860 43874 43877 43881 43883 43891 43905 43908-43909 43919 43937 43939 43941-43942 43945 43947-43948 43952 43971 43977 43989 44000 44008 44017 44024 44069 44094 44125 44152-44153 44159 44169 44210 44245 44247 44316 44318 44352 44354 44356-44357 44360 44367 44378 44381 44389 44448 44452 44475 44502 44518 44540 44542 44551 44554-44555 44579 44614 44626 44671-44672 44698 44777 44785 44800 44802-44803 44812 44817 44836 44840-44841 44857 44860-44861 44894 44896 44947 44982 44988 45044 45046 45054 45059 45101 45188 45227 45231 45233 45253 45255 45305 45322 45336 45348 45350 45382-45383 45416-45417 45419 45421 45432 45446 45471 45485 45497 45500 45536-45537 45562 45580 45584 45587 45590 45633 45649 45671 45689 45752 45754 45763 45766 45779 45782 45791 45806-45807 45810 45813-45816 45821 45854-45855 45860 45873 45876 45887 45893 45895 45897 45904 45906 45912 45914 45927 45942 45948 45957 45959 45961-45962 45964 45970 45973 45975 45984 45986 45992 46017 46019-46020 46036 46038 46046 46079 46101 46108 46110-46111 46132-46133 46142 46151 46153-46155 46162-46164 46166-46168 46170-46172 46174-46177 46179 46185 46188-46189 46191 46196 46202 46237 46244 46255 46273 46281 46299 46344-46345 46363 46393 46395 46398-46399 46413 46424 46429 46440-46442 46444 46474 46477 46484 46494-46495 46525 46533 46544 46548 46568 46571 46576 46608 46615 46632 46642 46651 46683 46687 46709 46726-46727 46732-46733 46737-46740 46750 46763 46787 46803 46806-46807 46831 46855 46858 46870 46882-46883 46889-46890 46910 46922 46969 46987 46990 46999 47001 47004-47005 47014 47016 47043 47047 47053 47055 47058 47064 47077-47078 47093 47103 47107 47111 47120 47136 47139 47152 47154 47162 47169 47172-47173 47178 47181 47188 47193 47196 47199 47207 47225 47235 47241 47244 47287 47305-47306 47325 47331 47347 47358 47368 47370 47389 47411 47414 47417 47419 47429-47431 47496 47509 47589 47599 47648-47649 47681-47683 47701 47740-47741 47784 47786 47805 47807 47824-47825 47828 47845 47852-47853 47864 47866 47919 47971 48005 48034 48072 48076-48077 48098 48105 48107-48108 48115 48123 48132-48133 48163 48170-48171 48182 48193 48227 48258 48263 48269 48271 48274 48277 48321 48323 48344 48346 48349 48364 48394-48395 48423 48434 48456 48467 48478-48479 48481 48483-48484 48486-48489 48500-48501 48550 48610 48614 48620 48677 48688 48715 48734-48735 48738 48779 48782 48845 48891 48897 48907 48948 48951 48964 48966 49003 49016-49017 49021 49023 49042-49043 49046 49048 49053 49089 49101 49103 49112-49113 49123</spatial><footprint ivo-id="ivo://ivoa.net/std/moc">https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/708/A224?format=ascii</footprint><waveband>X-ray</waveband></coverage><tableset><schema><name>default</name><table><name>J/A+A/708/A224/catalog</name><description>Source catalogue</description><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>ObsID</name><description>Observation identifier (OBS_ID)</description><ucd>meta.id;obs.param;obs</ucd><dataType xsi:type="vs:VOTableType">long</dataType></column><column><name>Source</name><description>Source number within observation (SRC_NUM)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>RAJ2000</name><description>Right ascension from pipeline (J2000) (PPS_RA)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd><flag>indexed</flag></column><column><name>DEJ2000</name><description>Declination from pipeline (J2000) (PPS_DEC)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd><flag>indexed</flag></column><column><name>RAXdeg</name><description>? XMM-Newton right ascension (J2000) (XMM_RA)</description><unit>deg</unit><ucd>pos.eq.ra</ucd><flag>nullable</flag></column><column><name>DEXdeg</name><description>? XMM-Newton declination (J2000) (XMM_DEC)</description><unit>deg</unit><ucd>pos.eq.dec</ucd><flag>nullable</flag></column><column><name>PredFlareProb</name><description>Predicted probability of flare (predicted_flare_probability)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>PredFare</name><description>Predicted flare flag (TRUE/FALSE) (predicted_flare)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>TrainDatapt</name><description>Training set flag (TRUE/FALSE) (training_datapoint)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>TrainFlare</name><description>[YN-] Visual flare label (training_flare_label)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="1*">char</dataType></column></table></schema></tableset></ri:Resource>