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Publication search results
found 462 matches
- 2024
- Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Zero-Shot Task Adaptation with Relevant Feature Information. AAAI 2024: 13283-13291 - Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
Finding Relevant Information in Big Datasets with ML. EDBT 2024: 846-849 - Rima Touahria, Abdenour Hacine-Gharbi, Philippe Ravier, Messaoud Mostefai:
Relevant Multi Domain Features Selection Based on Mutual Information for Heart Sound Classification. ICPRAM 2024: 918-923 - 2023
- Miguel A. Casal:
An information-theoretic approach to understanding the neural coding of relevant tactile features. University of Genoa, Italy, 2023 - Silvia García-Méndez, Francisco de Arriba Pérez, Ana Barros-Vila, Francisco J. González-Castaño, Enrique Costa-Montenegro:
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation. Appl. Intell. 53(16): 19610-19628 (2023) - Robiert Sepúlveda-Torres, Marta Esther Vicente, Estela Saquete, Elena Lloret, Manuel Palomar:
Leveraging relevant summarized information and multi-layer classification to generalize the detection of misleading headlines. Data Knowl. Eng. 145: 102176 (2023) - Andreas Boehm, Yves Burkhardt:
Determination of noise, vibration, and harshness (NVH)-relevant electromagnetic forces in PMSMs. Elektrotech. Informationstechnik 140(3-4): 375-381 (2023) - Santiago Paramés-Estévez, Alejandro Carballosa, David Garcia-Selfa, Alberto P. Muñuzuri:
Artificial Intelligence Techniques Used to Extract Relevant Information from Complex Social Networks. Entropy 25(3): 507 (2023) - Pawel Teisseyre, Jaesung Lee:
Multilabel all-relevant feature selection using lower bounds of conditional mutual information. Expert Syst. Appl. 216: 119436 (2023) - Xin Lei, Yueh-Lin Tsai, Pei-Luen Patrick Rau:
Harnessing the Visual Salience Effect With Augmented Reality to Enhance Relevant Information and to Impair Distracting Information. Int. J. Hum. Comput. Interact. 39(6): 1280-1293 (2023) - Sherlon Almeida da Silva, Evangelos E. Milios, Maria Cristina Ferreira de Oliveira:
Evaluating Visual Analytics for Relevant Information Retrieval in Document Collections. Interact. Comput. 35(2): 247-261 (2023) - Yantao Wei, Shujian Yu, Luis G. Sánchez Giraldo, José C. Príncipe:
Multiscale principle of relevant information for hyperspectral image classification. Mach. Learn. 112(4): 1227-1252 (2023) - Weiqi Zhao, Carolina Makowski, Donald J. Hagler, Hugh P. Garavan, Wesley K. Thompson, Deanna J. Greene, Terry L. Jernigan, Anders M. Dale:
Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity. NeuroImage 270: 119946 (2023) - Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk:
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI. IEEE Trans. Neural Networks Learn. Syst. 34(2): 739-749 (2023) - Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI 2023: 4643-4651 - Felipe Moreno Vera, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel S. Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar:
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. CSR 2023: 66-71 - Tomoki Yano, Masayuki Ando, Kouyou Otsu, Tomoko Izumi:
Verification of the Effects of Voice and Personalized Disaster Information from an Agent on Awareness that Disaster is Relevant to Oneself. HCI (16) 2023: 548-557 - Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. A. Freitas, Jean Paul Barddal:
Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis. ICMLA 2023: 1979-1985 - Tjerk Spijkman:
Conversational Requirements Engineering: Pinpointing Requirements-Relevant Information in Conversations. REFSQ Workshops 2023 - Tjerk Spijkman, Xavier de Bondt, Fabiano Dalpiaz, Sjaak Brinkkemper:
Summarization of Elicitation Conversations to Locate Requirements-Relevant Information. REFSQ 2023: 122-139 - Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - Kieran A. Murphy, Dani S. Bassett:
Information decomposition to identify relevant variation in complex systems with machine learning. CoRR abs/2307.04755 (2023) - Felipe Moreno Vera, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel Sadoc Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar:
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. CoRR abs/2308.02581 (2023) - Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. de A. Freitas, Jean Paul Barddal:
Detecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis. CoRR abs/2311.04905 (2023) - 2022
- Lila Boualili:
Deep learning for information retrieval : studying relevant signals for ad hoc search based on transformer models. (Deep Learning pour la recherche d'information : étudier les signaux pertinents pour la recherche ad hoc basée sur les modèles de transformers). Paul Sabatier University, Toulouse, France, 2022 - Jan Lewandowsky, Gerhard Bauch, Maximilian Stark:
Information Bottleneck Signal Processing and Learning to Maximize Relevant Information for Communication Receivers. Entropy 24(7): 972 (2022) - Prabha Rajagopal, Taoufik Aghris, Fatima-Ezzahra Fettah, Sri Devi Ravana:
Clustering of Relevant Documents Based on Findability Effort in Information Retrieval. Int. J. Inf. Retr. Res. 12(1): 1-18 (2022) - Hiteshwar Kumar Azad, Akshay Deepak, Chinmay Chakraborty, Kumar Abhishek:
Improving query expansion using pseudo-relevant web knowledge for information retrieval. Pattern Recognit. Lett. 158: 148-156 (2022) - Shuo Yang, Xinjun Mao, Yuanzhou Xue, Huaiyu Xiao, Shuo Wang:
Towards a Hybrid-ASP Planning Approach With Adjoint Observation for Incomplete Task-Relevant Information. IEEE Robotics Autom. Lett. 7(1): 494-501 (2022) - Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski:
Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization. IEEE Trans. Inf. Theory 68(9): 6063-6077 (2022)
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