Miroslav Krleža bibliography

This is a list of writings published by Miroslav Krleža.

Works
  • Legenda (1914)
  • Maskereta (1914)
  • Zaratustra i mladić (1914)
  • Pan (1917)
  • Tri simfonije (1918)
  • Jesenja pjesma (1918)
  • Žene na kiši (1918)
  • Pjesme I. (1918)
  • Pjesme II. (1918)
  • Balada (1918)
  • Vita nouva (1918)
  • Badnja noć (1918)
  • Saloma (1918)
  • Kristofor Kolumbo (1918)
  • Pjesme III. (1919)
  • Michelangelo Buonarroti (1919)
  • Lirika (1919)
  • Jesenja noć (1919)
  • U predvečerje (1919)
  • Veliki meštar sviju hulja (1919)
  • Jutarnja pobjeda nad tminom (1919)
  • Jutro pred kišu (1919)
  • Hodorlahomor Veliki (1919)
  • Baraka pet Be (1921)
  • Magyar királyi honvéd novella (1921)
  • Hrvatska rapsodija (1921)
  • Smrt Franje Kadavera (1921)
  • Tri domobrana (1921)
  • Piščeva opaska (1921)
  • Domobran Jambrek (1921)
  • Mlada misa Alojza Tičeka (1921)
  • Adam i Eva (1922)
  • Galicija (1922)
  • Smrt Florijana Kranjčeca (1922)
  • Golgota (1922)
  • Zeleni barjak (1922)
  • Madžarska varijacija (1922)
  • Hrvatski bog Mars (1922)
  • Tri kavaljera frajle Melanije (1922)
  • Vučjak (1922)
  • In extermis (1923)
  • Ver sacrum (1923)
  • Membra disiecta (1923)
  • Exodus u jesen (1923)
  • Domobrani Gebeš i Benčina razgovaraju o Lenjinu (1924)
  • Na samrti (1924)
  • Smrt Tome Bakrana (1924)
  • Vjetrovi nad provincijalnim gradom (1924)
  • Smrt bludnice Marije (1924)
  • Djevojka među zvijerima (1924)
  • Smrt Rikarda Harlekinija (1925)
  • Čežnja (1925)
  • Izlet u Rusiju (1926)
  • Gospoda Glembajevi (1928)
  • Ljubav Marcela Faber-Fabriczyja za gospođicu Lauru Warroniggovu (1928)
  • U agoniji (1928)
  • Badnjak (1928)
  • U magli (1928)
  • Lirska varijacija o jesenjem sutonu (1928)
  • Hiljadu i jedna smrt (1928)
  • Dobrotvori (1929)
  • Kako je doktor Gregor prvi put u životu susreo Nečastivoga (1929)
  • Karijera viteza Olivera Urbana (1929)
  • Svadba velikog župana Klanfara (1929)
  • Sprovod u Teresienburgu (1929)
  • Klanfar na Varadijevu (1930)
  • Mladić nosi svoje prve pjesme na ogled (1930)
  • Dubrovačka kulisa (1931)
  • Pjesma toreadora (1931)
  • Lišće na dalekom putu (1931)
  • Jesenja samoća (1931)
  • Gola žena na staroj slici (1931)
  • Knjiga pjesama (1931)
  • Čovjek poslije svoje smrti hoda gradom (1931)
  • Dijana u gradu (1931)
  • Ljudi u tmini (1931)
  • Bonaca u predvečerje (1931)
  • Maršal Kuroki pokazuje međunarodnim atašeima kod svoga generalnog štaba bojište na Liaoyangu, u noći između drugog i trećeg septembra devet stotina i četvrte na punoj mjesečini (1931)
  • Krčma u luci (1931)
  • Jeruzalemski dijalog (1931)
  • Gospođa u posjeti kod bolesnog djeteta svoje sluškinje (1931)
  • Leda (1932)
  • O Glembajevima (1932)
  • Knjiga lirike (1932)
  • Povratak Filipa Latinovicza (1932)
  • Legende (1933)
  • U logoru (1934)
  • Kamo plove ovi gradovi? (1934)
  • Balade Petrice Kerempuha (1936)
  • Pjesme u tmini (1936)
  • Novele (1937)
  • Pod maskom (1937)
  • Knjiga proze (1938)
  • Banket u Blitvi (1938)
  • Dijalektički antibarbarus (1939)
  • Krokodilina ili razgovor o istini (1945)
  • Aretej ili Legenda o Svetoj Ancili Rajskoj Ptici (1952)
  • Žuta lopta (1952)
  • Bdijemo (1954)
  • Jednog kišnog dana (1954)
  • Fantaisie musicale (1954)
  • Bila je mjesečina (1954)
  • Zastave (1962)
  • Poezija (1969)
gollark: It must comfort you to think so.
gollark: > There is burgeoning interest in designing AI-basedsystems to assist humans in designing computing systems,including tools that automatically generate computer code.The most notable of these comes in the form of the first self-described ‘AI pair programmer’, GitHub Copilot, a languagemodel trained over open-source GitHub code. However, codeoften contains bugs—and so, given the vast quantity of unvettedcode that Copilot has processed, it is certain that the languagemodel will have learned from exploitable, buggy code. Thisraises concerns on the security of Copilot’s code contributions.In this work, we systematically investigate the prevalence andconditions that can cause GitHub Copilot to recommend insecurecode. To perform this analysis we prompt Copilot to generatecode in scenarios relevant to high-risk CWEs (e.g. those fromMITRE’s “Top 25” list). We explore Copilot’s performance onthree distinct code generation axes—examining how it performsgiven diversity of weaknesses, diversity of prompts, and diversityof domains. In total, we produce 89 different scenarios forCopilot to complete, producing 1,692 programs. Of these, wefound approximately 40 % to be vulnerable.Index Terms—Cybersecurity, AI, code generation, CWE
gollark: https://arxiv.org/pdf/2108.09293.pdf
gollark: This is probably below basically everywhere's minimum wage.
gollark: (in general)

References
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