2024-03-13 06:46:39
A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…
A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…
This https://arxiv.org/abs/2305.09744 has been replaced.
initial toot: https://mastoxiv.page/@ar…
A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
Yingtao Ren, Xiaomin Zhu, Kaiyuan Bai, Runtong Zhang
https://arxiv.org/abs/2403.07363 h…
Tightening big Ms in integer programming formulations for support vector machines with ramp loss
Marta Baldomero-Naranjo, Luisa I. Mart\'inez-Merino, Antonio M. Rodr\'iguez-Ch\'ia
https://arxiv.org/abs/2403.07736
Noise misleads rotation invariant algorithms on sparse targets
Manfred K. WarmuthGoogle Inc, Wojciech Kot{\l}owskiInstitute of Computing Science, Poznan University of Technology, Poznan, Poland, Matt JonesUniversity of Colorado Boulder, Colorado, USA, Ehsan AmidGoogle Inc
https://arxiv.org/abs/2403.02697
NACSOS-nexus: NLP Assisted Classification, Synthesis and Online Screening with New and EXtended Usage Scenarios
Tim Repke, Max Callaghan
https://arxiv.org/abs/2405.04621
A classification of well-behaved graph clustering schemes
Vilhelm Agdur
https://arxiv.org/abs/2404.03332 https://arxiv.org/pdf/2404.0…
Tightening big Ms in integer programming formulations for support vector machines with ramp loss
Marta Baldomero-Naranjo, Luisa I. Mart\'inez-Merino, Antonio M. Rodr\'iguez-Ch\'ia
https://arxiv.org/abs/2403.07736
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification
Tailai Wen, Da Ke, Xiang Wang, Zhitao Huang
https://arxiv.org/abs/2402.17450
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals
Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi
https://arxiv.org/abs/2403.04387
This https://arxiv.org/abs/2401.11712 has been replaced.
link: https://scholar.google.com/scholar?q=a
The impact of void-finding algorithms on galaxy classification
Fatima Zaidouni, Dahlia Veyrat, Kelly A. Douglass, Segev BenZvi
https://arxiv.org/abs/2403.20008
Noise misleads rotation invariant algorithms on sparse targets
Manfred K. WarmuthGoogle Inc, Wojciech Kot{\l}owskiInstitute of Computing Science, Poznan University of Technology, Poznan, Poland, Matt JonesUniversity of Colorado Boulder, Colorado, USA, Ehsan AmidGoogle Inc
https://arxiv.org/abs/2403.02697
Computer classification of linear codes based on lattice point enumeration and integer linear programming
Sascha Kurz
https://arxiv.org/abs/2403.17509 http…
Finding Decision Tree Splits in Streaming and Massively Parallel Models
Huy Pham, Hoang Ta, Hoa T. Vu
https://arxiv.org/abs/2403.19867 https://
This https://arxiv.org/abs/2308.04956 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…
Evaluating Classification Algorithms: Exoplanet Detection using Kepler Time Series Data
Fatemeh Fazel Hesar, Bernard Foing
https://arxiv.org/abs/2402.15874
Routing Algorithms
Ujjwal Sinha, Vikas Kumar, Shubham Kumar Singh
https://arxiv.org/abs/2403.11228 https://arxiv.org/pdf/2403.11228…
This https://arxiv.org/abs/2308.11138 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…
This https://arxiv.org/abs/2108.13661 has been replaced.
link: https://scholar.google.com/scholar?q=a
Rahmani Sort: A Novel Variant of Insertion Sort Algorithm with O(nlogn) Complexity
Mohammad Khalid Imam Rahmani
https://arxiv.org/abs/2402.19107 https://…
RADIA -- Radio Advertisement Detection with Intelligent Analytics
Jorge \'Alvarez, Juan Carlos Armenteros, Camilo Torr\'on, Miguel Ortega-Mart\'in, Alfonso Ardoiz, \'Oscar Garc\'ia, Ignacio Arranz, \'I\~nigo Galdeano, Ignacio Garrido, Adri\'an Alonso, Fernando Bay\'on, Oleg Vorontsov
https://arxiv…
Multi-Level Explanations for Generative Language Models
Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh
https://arxiv.org/abs/2403.14459
On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition
Igor Sokolov
https://arxiv.org/abs/2403.16230
This https://arxiv.org/abs/2308.04956 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…
Routing Algorithms
Ujjwal Sinha, Vikas Kumar, Shubham Kumar Singh
https://arxiv.org/abs/2403.11228 https://arxiv.org/pdf/2403.11228…
Robust Containment Queries over Collections of Rational Parametric Curves via Generalized Winding Numbers
Jacob Spainhour, David Gunderman, Kenneth Weiss
https://arxiv.org/abs/2403.17371
Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports
Xinyu Zhao, Hao Yan, Yongming Liu
https://arxiv.org/abs/2403.17914
An Adversarial Approach to Evaluating the Robustness of Event Identification Models
Obai Bahwal, Oliver Kosut, Lalitha Sankar
https://arxiv.org/abs/2402.12338
J-PLUS: Bayesian object classification with a strum of BANNJOS
A. del Pino, C. L\'opez-Sanjuan, A. Hern\'an-Caballero, H. Dom\'inguez-S\'anchez, R. von Marttens, J. A. Fern\'andez-Ontiveros, P. R. T. Coelho, A. Lumbreras-Calle, J. Vega-Ferrero, F. Jimenez-Esteban, P. Cruz, V. Marra, M. Quartin, C. A. Galarza, R. E. Angulo, A. J. Cenarro, D. Crist\'obal-Hornillos, R. A. Dupke, A. Ederoclite, C. Hern\'andez-Monteagudo, A. Mar\'in-Franch, M. Moles, L. Sodr\…
This https://arxiv.org/abs/2309.07136 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…
Computational issues in Optimization for Deep networks
Corrado Coppola, Lorenzo Papa, Marco Boresta, Irene Amerini, Laura Palagi
https://arxiv.org/abs/2405.02089
On the Salient Limitations of `On the Salient Limitations of the Methods of Assembly Theory and their Classification of Molecular Biosignatures'
Leroy Cronin
https://arxiv.org/abs/2403.12452
Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
Heitor P. Casagrande, Bo Xing, William J. Munro, Chu Guo, Dario Poletti
https://arxiv.org/abs/2404.11768
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
Masanari Kimura, Hiroki Naganuma
https://arxiv.org/abs/2405.00442 htt…
This https://arxiv.org/abs/2403.19867 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…
This https://arxiv.org/abs/2309.07136 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…
This https://arxiv.org/abs/2010.02848 has been replaced.
link: https://scholar.google.com/scholar?q=a
SPLICE -- Streamlining Digital Pathology Image Processing
Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran Khan, Saghir Alfasly, Ghazal Alabtah, H. R. Tizhoosh
https://arxiv.org/abs/2404.17704 https://arxiv.org/pdf/2404.17704
arXiv:2404.17704v1 Announce Type: new
Abstract: Digital pathology and the integration of artificial intelligence (AI) models have revolutionized histopathology, opening new opportunities. With the increasing availability of Whole Slide Images (WSIs), there's a growing demand for efficient retrieval, processing, and analysis of relevant images from vast biomedical archives. However, processing WSIs presents challenges due to their large size and content complexity. Full computer digestion of WSIs is impractical, and processing all patches individually is prohibitively expensive. In this paper, we propose an unsupervised patching algorithm, Sequential Patching Lattice for Image Classification and Enquiry (SPLICE). This novel approach condenses a histopathology WSI into a compact set of representative patches, forming a "collage" of WSI while minimizing redundancy. SPLICE prioritizes patch quality and uniqueness by sequentially analyzing a WSI and selecting non-redundant representative features. We evaluated SPLICE for search and match applications, demonstrating improved accuracy, reduced computation time, and storage requirements compared to existing state-of-the-art methods. As an unsupervised method, SPLICE effectively reduces storage requirements for representing tissue images by 50%. This reduction enables numerous algorithms in computational pathology to operate much more efficiently, paving the way for accelerated adoption of digital pathology.
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification
Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli
https://arxiv.org/abs/2403.10368
This https://arxiv.org/abs/2403.12452 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…
This https://arxiv.org/abs/2401.02897 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCG_…
Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
Heitor P. Casagrande, Bo Xing, William J. Munro, Chu Guo, Dario Poletti
https://arxiv.org/abs/2404.11768