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- Martin Bachmann
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Technical University of Valencia, Spain - Martin Bachwerk
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Publication search results
found 356 matches
- 2024
- Ronald Bachmann, Fernanda Martínez Flores, Christian Rulff:
Die Lohnlücke in der Zeitarbeit. AStA Wirtschafts und Sozialstatistisches Arch. 18(1): 15-36 (2024) - Alexander Bach, Florian Raub, Hubert Höfer, Richard Ottermanns, Martina Roß-Nickoll:
ARAapp: filling gaps in the ecological knowledge of spiders using an automated and dynamic approach to analyze systematically collected community data. Database J. Biol. Databases Curation 2024 (2024) - Matheus de Freitas Oliveira Baffa, Denise Maria Zezell, Luciano Bachmann, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe:
Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images. Comput. Methods Programs Biomed. 247: 108100 (2024) - Louise Michelle Nettleton Pearce, Martin Howell, Tiê Parma Yamato, Jéssica Maria Ribeiro Bacha, José Eduardo Pompeu, Kirsten Howard, Catherine Sherrington, Leanne Hassett:
What attributes of digital devices are important to clinicians in rehabilitation? A cross-cultural best-worst scaling study. Int. J. Medical Informatics 191: 105589 (2024) - Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Martin Spindler, Sven Klaassen:
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R. J. Stat. Softw. 108(3) (2024) - Adrian Mahlmann, Yazan Khorzom, Christian-Alexander Behrendt, Jennifer Lynne Leip, Martin Bachler, Siegfried Wassertheurer, Nesma Elzanaty, Tamer Ghazy:
Screening for Peripheral Vascular Stiffness in Lipedema Patients by Automatic Electrocardiogram-Based Oscillometric Detection. Sensors 24(5): 1673 (2024) - Simon Martin, Francis Bach, Giulio Biroli:
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. AISTATS 2024: 3655-3663 - Philipp Bach, Oliver Schacht, Victor Chernozhukov, Sven Klaassen, Martin Spindler:
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study. CLeaR 2024: 1065-1117 - Uta Heiden, Martin Bachmann, Emiliano Carmona, Daniele Cerra, Daniele Dietrich, David Marshall, Rupert Müller, Miguel Pato, Peter Reinartz, Raquel De los Reyes, Mirco Tegler, Uwe Knodt, David Krutz, Heath Lester:
The data archive of the spaceborne imaging spectrometer mission DESIS. IGARSS 2024: 285-288 - Jean-Christophe Bach, Antoine Beugnard, Joël Champeau, Fabien Dagnat, Sylvain Guérin, Salvador Martínez:
10 years of Model Federation with Openflexo: Challenges and Lessons Learned. MODELS 2024: 25-36 - Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer:
Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification. xAI (2) 2024: 202-216 - Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar:
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. CoRR abs/2402.01785 (2024) - Markus Bachmayr, Martin Eigel, Henrik Eisenmann, Igor Voulis:
A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields. CoRR abs/2403.13770 (2024) - Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer:
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification. CoRR abs/2404.10433 (2024) - Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - Ashraya K. Indrakanti, Jakob Wasserthal, Martin Segeroth, Shan Yang, Victor Schulze-Zachau, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias Anthony Mutke:
Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. CoRR abs/2408.17115 (2024) - Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jorg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller:
Imitating Language via Scalable Inverse Reinforcement Learning. CoRR abs/2409.01369 (2024) - 2023
- Martin Bachratý:
Quotients of skew morphisms of cyclic groups. Ars Math. Contemp. 24(2): 2 (2023) - Christoph Busch, Farzin Deravi, Dinusha Frings, Els Kindt, Ralph Lessmann, Alexander Nouak, Jean Salomon, Mateus Achcar, Fernando Alonso-Fernandez, Daniel Bachenheimer, David Bethell, Josef Bigün, Matthew Brawley, Guido Brockmann, Enrique Cabello, Patrizio Campisi, Aleksandrs Cepilovs, Miles Clee, Mickey Cohen, Christian Croll, Andrzej Czyzewski, Bernadette Dorizzi, Martin Drahanský, Pawel Drozdowski, Catherine Fankhauser, Julian Fiérrez, Marta Gomez-Barrero, Georg Hasse, Richard M. Guest, Ekaterina Komleva, Sébastien Marcel, Gian Luca Marcialis, Laurent Mercier, Emilio Mordini, Stefance Mouille, Pavlina Navratilova, Javier Ortega-Garcia, Dijana Petrovska, Norman Poh, Istvan Sz. Racz, Ramachandra Raghavendra, Christian Rathgeb, Christophe Remillet, Uwe Seidel, Luuk J. Spreeuwers, Brage Strand, Sirra Toivonen, Andreas Uhl:
Facilitating free travel in the Schengen area - A position paper by the European Association for Biometrics. IET Biom. 12(2): 112-128 (2023) - Cristina Sainz Martinez, Meritxell Bach Cuadra, João Jorge:
BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development. NeuroImage 273: 120074 (2023) - Sarah Asam, Christina Eisfelder, Andreas Hirner, Philipp Reiners, Stefanie Holzwarth, Martin Bachmann:
AVHRR NDVI Compositing Method Comparison and Generation of Multi-Decadal Time Series - A TIMELINE Thematic Processor. Remote. Sens. 15(6): 1631 (2023) - Martin Bachmann, Tobias Storch:
First Nighttime Light Spectra by Satellite - By EnMAP. Remote. Sens. 15(16): 4025 (2023) - Christina Eisfelder, Sarah Asam, Andreas Hirner, Philipp Reiners, Stefanie Holzwarth, Martin Bachmann, Ursula Gessner, Andreas J. Dietz, Juliane Huth, Felix Bachofer, Claudia Kuenzer:
Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series - The TIMELINE NDVI Product. Remote. Sens. 15(14): 3616 (2023) - Simon Walzel, Radek Mikus, Veronika Rafl-Huttova, Martin Rozanek, Thomas E. Bachman, Jakub Ráfl:
Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter. Sensors 23(22): 9164 (2023) - Hannah Kastinger, Martin Bacher:
Modelling Blood Volume Oscillations in the Finger. Simul. Notes Eur. 33(2): 63-72 (2023) - Ciara Picher, Martin Bachler, Christer Ahlström, Christopher C. Mayer, Bernhard Hametner:
Fit for Duty Assessment of Driver Fatigue based on Statistical Modelling of Cardiovascular Parameters. Simul. Notes Eur. 33(4): 157-166 (2023) - Lorenzo Bachi, Hesam Halvaei, Cristina Pérez, Alba Martín-Yebra, Andrius Petrenas, Andrius Solosenko, Linda Johnson, Vaidotas Marozas, Juan Pablo Martínez, Esther Pueyo, Martin Stridh, Pablo Laguna, Leif Sörnmo:
ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions. IEEE Trans. Biomed. Eng. 70(12): 3449-3460 (2023) - Lukas Lechner, Asbjoern Wulff Helge, Esben Ahrens, Martin Bachler, Bernhard Hametner, Gerhard Gritsch, Tilmann Kluge, Manfred Hartmann:
Fine-tuning of pre-processing filters enables scalp-EEG based training of subcutaneous EEG models. BSN 2023: 1-4
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