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Nathalie Japkowicz

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for defense security. From 2003 to 2005, Japkowicz was the secretary of the Canadian Artificial Intelligence Association (CAIAC). She was CAIAC vice president from 2009 to 2014 and president from 2013 to 2015, and part-president from 2015 to 2017.
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Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25–27, 2009 Proceedings
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Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings
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Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada, October 4–6, 2015. Proceedings
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Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification
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Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification
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Ghosh, Subir (2013). "Review of Evaluating Learning Algorithms: A Classification Perspective".
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Japkowicz is a professor and department chair of computer science at the
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and computer science. She was the lead of its laboratory for research on
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Evaluating Learning Algorithms: A Classification Perspective
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Big Data Analysis: New Algorithms for a New Society
631:Canadian expatriate academics in the United States 420:"Professor and Department Chair, Computer Science" 100:is a Canadian computer scientist specializing in 577: 161:American University College of Arts and Sciences 106:American University College of Arts and Sciences 70:American University College of Arts and Sciences 246: 219: 185:Gao, Yong; Japkowicz, Nathalie, eds. (2009). 184: 606:Academic staff of the University of Ottawa 224:(1 ed.). Cambridge University Press. 445: 220:Japkowicz, Nathalie; Shah, Mohak (2011). 116:Nathalie Japkowicz completed a B.Sc. at 636:Canadian emigrants to the United States 626:21st-century Canadian women scientists 578: 120:in 1988. She earned an M.Sc. from the 543: 128:in 1999. Her dissertation was titled 467: 465: 450:(Ph.D. thesis). Rutgers University. 441: 439: 414: 412: 410: 408: 406: 404: 13: 616:Canadian women computer scientists 124:in 1990. She completed a Ph.D. at 14: 647: 462: 436: 401: 178: 521:"Homepage of Nathalie Japkowicz" 497:"Homepage of Nathalie Japkowicz" 473:"Dr. Nathalie Japkowicz | CAIAC" 537: 513: 489: 1: 394: 140:were her doctoral advisors. 621:Machine learning researchers 596:University of Toronto alumni 446:Japkowicz, Nathalie (1999). 389:Women in computing in Canada 138:Casimir Alexander Kulikowski 86:Casimir Alexander Kulikowski 7: 611:American University faculty 367: 16:Canadian computer scientist 10: 652: 57:Machine learning, big data 601:Rutgers University alumni 342:10.1007/978-3-030-01851-1 300:10.1007/978-3-319-26989-4 261:10.1007/978-3-319-24282-8 195:10.1007/978-3-642-01818-3 91: 75: 61: 53: 46: 28: 21: 591:McGill University alumni 384:One-class classification 230:10.1017/cbo9780511921803 143:Japkowicz worked at the 326:Papadopoulos, George A. 320:; Japkowicz, Nathalie; 165:artificial intelligence 111: 149:electrical engineering 286:Japkowicz, Nathalie; 247:Japkowicz, Nathalie; 122:University of Toronto 37:University of Toronto 167:, machine learning, 145:University of Ottawa 66:University of Ottawa 501:www.site.uottawa.ca 424:American University 134:Stephen JosĂ© Hanson 82:Stephen JosĂ© Hanson 318:Ceci, Michelangelo 288:Stefanowski, Jerzy 126:Rutgers University 98:Nathalie Japkowicz 41:Rutgers University 23:Nathalie Japkowicz 351:978-3-030-01850-4 309:978-3-319-26987-0 270:978-3-319-24281-1 239:978-0-511-92180-3 204:978-3-642-01817-6 163:. She researches 147:in the school of 118:McGill University 95: 94: 48:Scientific career 33:McGill University 643: 570: 569: 541: 535: 534: 532: 531: 525:fs2.american.edu 517: 511: 510: 508: 507: 493: 487: 486: 484: 483: 469: 460: 459: 443: 434: 433: 431: 430: 416: 363: 330:RaĹ›, Zbigniew W. 313: 282: 243: 216: 153:machine learning 102:machine learning 77:Doctoral advisor 19: 18: 651: 650: 646: 645: 644: 642: 641: 640: 576: 575: 574: 573: 542: 538: 529: 527: 519: 518: 514: 505: 503: 495: 494: 490: 481: 479: 471: 470: 463: 444: 437: 428: 426: 418: 417: 402: 397: 370: 352: 332:, eds. (2018). 310: 290:, eds. (2016). 271: 251:, eds. (2015). 240: 205: 181: 114: 68: 39: 35: 29:Alma mater 24: 17: 12: 11: 5: 649: 639: 638: 633: 628: 623: 618: 613: 608: 603: 598: 593: 588: 572: 571: 552:(2): 252–253. 536: 512: 488: 461: 435: 399: 398: 396: 393: 392: 391: 386: 381: 379:Citation graph 376: 369: 366: 365: 364: 350: 314: 308: 283: 269: 244: 238: 217: 203: 180: 179:Selected works 177: 113: 110: 93: 92: 89: 88: 79: 73: 72: 63: 59: 58: 55: 51: 50: 44: 43: 30: 26: 25: 22: 15: 9: 6: 4: 3: 2: 648: 637: 634: 632: 629: 627: 624: 622: 619: 617: 614: 612: 609: 607: 604: 602: 599: 597: 594: 592: 589: 587: 586:Living people 584: 583: 581: 567: 563: 559: 555: 551: 547: 546:Technometrics 540: 526: 522: 516: 502: 498: 492: 478: 474: 468: 466: 457: 453: 449: 442: 440: 425: 421: 415: 413: 411: 409: 407: 405: 400: 390: 387: 385: 382: 380: 377: 375: 372: 371: 361: 357: 353: 347: 343: 339: 335: 331: 327: 323: 319: 315: 311: 305: 301: 297: 293: 289: 284: 280: 276: 272: 266: 262: 258: 254: 250: 245: 241: 235: 231: 227: 223: 218: 214: 210: 206: 200: 196: 192: 188: 183: 182: 176: 174: 170: 166: 162: 157: 154: 150: 146: 141: 139: 135: 131: 127: 123: 119: 109: 107: 103: 99: 90: 87: 83: 80: 78: 74: 71: 67: 64: 60: 56: 52: 49: 45: 42: 38: 34: 31: 27: 20: 549: 545: 539: 528:. Retrieved 524: 515: 504:. Retrieved 500: 491: 480:. Retrieved 477:www.caiac.ca 476: 447: 427:. Retrieved 423: 333: 291: 252: 249:Matwin, Stan 221: 186: 158: 142: 129: 115: 97: 96: 62:Institutions 47: 374:Autoencoder 322:Liu, Jiming 169:data mining 580:Categories 530:2023-04-29 506:2023-04-29 482:2023-04-29 429:2023-04-29 395:References 175:analysis. 558:0040-1706 566:24587142 456:78440062 368:See also 360:53038780 213:27083226 173:big data 279:1302223 564:  556:  454:  358:  348:  306:  277:  267:  236:  211:  201:  171:, and 54:Fields 562:JSTOR 356:S2CID 275:S2CID 209:S2CID 554:ISSN 452:OCLC 346:ISBN 304:ISBN 265:ISBN 234:ISBN 199:ISBN 136:and 112:Life 338:doi 296:doi 257:doi 226:doi 191:doi 582:: 560:. 550:55 548:. 523:. 499:. 475:. 464:^ 438:^ 422:. 403:^ 354:. 344:. 328:; 324:; 302:. 273:. 263:. 232:. 207:. 197:. 132:. 108:. 84:, 568:. 533:. 509:. 485:. 458:. 432:. 362:. 340:: 312:. 298:: 281:. 259:: 242:. 228:: 215:. 193::

Index

McGill University
University of Toronto
Rutgers University
University of Ottawa
American University College of Arts and Sciences
Doctoral advisor
Stephen José Hanson
Casimir Alexander Kulikowski
machine learning
American University College of Arts and Sciences
McGill University
University of Toronto
Rutgers University
Stephen José Hanson
Casimir Alexander Kulikowski
University of Ottawa
electrical engineering
machine learning
American University College of Arts and Sciences
artificial intelligence
data mining
big data
doi
10.1007/978-3-642-01818-3
ISBN
978-3-642-01817-6
S2CID
27083226
doi
10.1017/cbo9780511921803

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