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1
Survey on evaluation methods for dialogue systems
Survey on evaluation methods for dialogue systems
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Survey on evaluation methods for dialogue systems

The Artificial intelligence review, 2021-01, Vol.54 (1), p.755-810 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. ;COPYRIGHT 2021 Springer ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09866-x ;PMID: 33505103

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2
Learned Text Representation for Amharic Information Retrieval and Natural Language Processing
Learned Text Representation for Amharic Information Retrieval and Natural Language Processing
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Learned Text Representation for Amharic Information Retrieval and Natural Language Processing

Information (Basel), 2023-03, Vol.14 (3), p.195-23, article 195 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 2078-2489 ;EISSN: 2078-2489 ;DOI: 10.3390/info14030195

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3
Weakly supervised change detection using guided anisotropic diffusion
Weakly supervised change detection using guided anisotropic diffusion
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Weakly supervised change detection using guided anisotropic diffusion

Machine learning, 2023-06, Vol.112 (6), p.2211-2237 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06008-4

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4
Distillation of weighted automata from recurrent neural networks using a spectral approach
Distillation of weighted automata from recurrent neural networks using a spectral approach
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Distillation of weighted automata from recurrent neural networks using a spectral approach

Machine learning, 2024-05, Vol.113 (5), p.3233-3266 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05948-1

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5
Parameter identifiability of a deep feedforward ReLU neural network
Parameter identifiability of a deep feedforward ReLU neural network
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Parameter identifiability of a deep feedforward ReLU neural network

Machine learning, 2023-11, Vol.112 (11), p.4431-4493 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06355-4

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6
EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries
EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries
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EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries

IEEE transactions on visualization and computer graphics, 2023-10, Vol.29 (10), p.4154-4171 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1077-2626 ;EISSN: 1941-0506 ;DOI: 10.1109/TVCG.2022.3184247

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7
Lossless Neural Network Model Compression Through Exponent Sharing
Lossless Neural Network Model Compression Through Exponent Sharing
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Lossless Neural Network Model Compression Through Exponent Sharing

IEEE transactions on very large scale integration (VLSI) systems, 2023-11, Vol.31, p.1816-1825 [Peer Reviewed Journal]

Attribution ;ISSN: 1063-8210 ;EISSN: 1557-9999 ;DOI: 10.1109/tvlsi.2023.3307607

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8
The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review
The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review
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The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

Applied sciences, 2020-09, Vol.10 (18), p.6428 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10186428

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9
A distributed Frank–Wolfe framework for learning low-rank matrices with the trace norm
A distributed Frank–Wolfe framework for learning low-rank matrices with the trace norm
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A distributed Frank–Wolfe framework for learning low-rank matrices with the trace norm

Machine learning, 2018-09, Vol.107 (8-10), p.1457-1475 [Peer Reviewed Journal]

The Author(s) 2018 ;Machine Learning is a copyright of Springer, (2018). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-018-5713-5

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10
Assessing the robustness of clinical trials by estimating Jadad's score using artificial intelligence approaches
Assessing the robustness of clinical trials by estimating Jadad's score using artificial intelligence approaches
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Assessing the robustness of clinical trials by estimating Jadad's score using artificial intelligence approaches

Computers in biology and medicine, 2022-09, Vol.148, p.105851-105851, Article 105851 [Peer Reviewed Journal]

2022 Elsevier Ltd ;2022. Elsevier Ltd ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.105851 ;PMID: 35947929

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11
Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms
Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms
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Deep Learning for Toponym Resolution: Geocoding Based on Pairs of Toponyms

ISPRS international journal of geo-information, 2021-12, Vol.10 (12), p.818 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2220-9964 ;EISSN: 2220-9964 ;DOI: 10.3390/ijgi10120818

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12
Variable Scale Pruning for Transformer Model Compression in End-to-End Speech Recognition
Variable Scale Pruning for Transformer Model Compression in End-to-End Speech Recognition
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Variable Scale Pruning for Transformer Model Compression in End-to-End Speech Recognition

Algorithms, 2023-09, Vol.16 (9), p.398 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a16090398

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13
Finite element method-enhanced neural network for forward and inverse problems
Finite element method-enhanced neural network for forward and inverse problems
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Finite element method-enhanced neural network for forward and inverse problems

Advanced modeling and simulation in engineering sciences, 2023-05, Vol.10 (1), p.6-23, Article 6 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2213-7467 ;EISSN: 2213-7467 ;DOI: 10.1186/s40323-023-00243-1

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14
Learning a priori constrained weighted majority votes
Learning a priori constrained weighted majority votes
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Learning a priori constrained weighted majority votes

Machine learning, 2014-10, Vol.97 (1-2), p.129-154 [Peer Reviewed Journal]

The Author(s) 2014 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-014-5462-z

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15
Evaluation of two heuristic approaches to solve the ontology meta-matching problem
Evaluation of two heuristic approaches to solve the ontology meta-matching problem
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Evaluation of two heuristic approaches to solve the ontology meta-matching problem

Knowledge and information systems, 2011-02, Vol.26 (2), p.225-247 [Peer Reviewed Journal]

Springer-Verlag London Limited 2009 ;2015 INIST-CNRS ;Springer-Verlag London Limited 2011 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0219-1377 ;EISSN: 0219-3116 ;DOI: 10.1007/s10115-009-0277-0 ;CODEN: KISNCR

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16
Convolutional Neural Networks in Predicting Missing Text in Arabic
Convolutional Neural Networks in Predicting Missing Text in Arabic
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Convolutional Neural Networks in Predicting Missing Text in Arabic

International journal of advanced computer science & applications, 2019, Vol.10 (6)

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2019.0100668

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17
Deep Neural Network Ensembles for Time Series Classification
Deep Neural Network Ensembles for Time Series Classification
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Conference Proceeding 		Add to My Research

Deep Neural Network Ensembles for Time Series Classification

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/ijcnn.2019.8852316

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18
A Superquantile Approach to Federated Learning with Heterogeneous Devices
A Superquantile Approach to Federated Learning with Heterogeneous Devices
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A Superquantile Approach to Federated Learning with Heterogeneous Devices

2021 55th Annual Conference on Information Sciences and Systems (CISS)

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/CISS50987.2021.9400318

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19
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification
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A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/IJCNN55064.2022.9892915

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20
A New Distance Geometry Method for Constructing Word and Sentence Vectors
A New Distance Geometry Method for Constructing Word and Sentence Vectors
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Conference Proceeding 		Add to My Research

A New Distance Geometry Method for Constructing Word and Sentence Vectors

WWW '20: Companion Proceedings of the Web Conference 2020, 2020, Vol.WWW20 (Companion Proceedings), p.679-685

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1145/3366424.3391267

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